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CoRR, March 2019
- Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. - Sergey Kolesnikov, Oleksii Hrinchuk:
Catalyst.RL: A Distributed Framework for Reproducible RL Research. - Jugal Garg, Setareh Taki:
An Improved Approximation Algorithm for Maximin Shares. - Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen:
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. - Aleksandra Kalinowska, Thomas A. Berrueta, Adam Zoss, Todd D. Murphey:
Data-Driven Gait Segmentation for Walking Assistance in a Lower-Limb Assistive Device. - Robert Wallace, Collin McMillan:
EyeDoc: Documentation Navigation with Eye Tracking. - Gaurav Kumar, George F. Foster, Colin Cherry, Maxim Krikun:
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation. - Shijian Li, Robert J. Walls, Lijie Xu, Tian Guo:
Speeding up Deep Learning with Transient Servers. - Xingkang He, Qian Liu, Junfeng Wu, Karl Henrik Johansson:
Distributed Parameter Estimation Under Event-triggered Communications. - Ankur Bapna, Orhan Firat:
Non-Parametric Adaptation for Neural Machine Translation. - Skanda Vivek, David Yanni, Peter J. Yunker, Jesse L. Silverberg:
Cyber-physical risks of hacked Internet-connected vehicles. - Su Zhang:
Apply SOA Paradigms in Cyber-Physical System to Enhance Interoperability: State-of-the-Art Review. - Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie:
A Long-Short Demands-Aware Model for Next-Item Recommendation. - Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar:
Neuromodulated Goal-Driven Perception in Uncertain Domains. - Margaret M. Coad, Laura H. Blumenschein, Sadie Cutler, Javier A. Reyna Zepeda, Nicholas D. Naclerio, Haitham El-Hussieny, Usman Mehmood, Jee-Hwan Ryu, Elliot W. Hawkes, Allison M. Okamura:
Vine Robots: Design, Teleoperation, and Deployment for Navigation and Exploration. - Binghong Chen, Bo Dai, Le Song:
Learning to Plan via Neural Exploration-Exploitation Trees. - Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. - Joshua Feldman, Jeannette C. M. Janssen:
High Degree Vertices and Spread of Infections in Spatially Modelled Social Networks. - Shuyang Chen, John T. Wen:
Industrial Robot Trajectory Tracking Using Multi-Layer Neural Networks Trained by Iterative Learning Control. - Shailesh Shrivastava, Alakh Aggarwal, Pratik Chattopadhyay:
Broad Neural Network for Change Detection in Aerial Images. - Roee Aharoni, Melvin Johnson, Orhan Firat:
Massively Multilingual Neural Machine Translation. - Prakash Mohan, Marc T. Henry de Frahan
, Ryan King, Ray W. Grout:
A block-random algorithm for learning on distributed, heterogeneous data. - Rohan Kodialam:
Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions. - Peng Jiang, Yingrui Yang, Gann Bierner, Fengjie Alex Li, Ruhan Wang, Azadeh Moghtaderi:
Ranking in Genealogy: Search Results Fusion at Ancestry. - Shaojie Xu, Anvesha Amaravati, Justin Romberg, Arijit Raychowdhury:
Appearance-based Gesture recognition in the compressed domain. - Ghadeer Al-Bdour, Raffi Al-Qurran, Mahmoud Al-Ayyoub, Ali M. Shatnawi:
A detailed comparative study of open source deep learning frameworks. - Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang:
Saec: Similarity-Aware Embedding Compression in Recommendation Systems. - Ainagul Jumabekova, Julien Berger, Denys Dutykh, Hervé Le Meur
An efficient numerical model for liquid water uptake in porous material and its parameter estimation. - Shuang Zhang, Ada Zhen, Robert L. Stevenson:
GAN Based Image Deblurring Using Dark Channel Prior. - Mohamed Elfeki, Ali Borji:
Video Summarization via Actionness Ranking. - Sailik Sengupta, Zahra Zahedi, Subbarao Kambhampati:
To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust. - Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian D. Reid:
Self-supervised Learning for Single View Depth and Surface Normal Estimation. - (Withdrawn) A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning.
- Pingzhi Yuan, Kevin Zhao:
On the Existence of Perfect Splitter Sets. - Matthew Cong, Lana Lan, Ronald Fedkiw:
Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers. - Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. - Liyu Wang, Yuxiang Yang, Gustavo Correa, Konstantinos Karydis, Ronald S. Fearing:
OpenRoACH: A Durable Open-Source Hexapedal Platform with Onboard Robot Operating System (ROS). - Robert Pottorff, Jared Nielsen, David Wingate:
Video Extrapolation with an Invertible Linear Embedding. - Bingli Jiao, Yuli Yang, Mingxi Yin:
A Method Beyond Channel Capacity in the Low SNR Regime: Theoretical Proof and Numerical Confirmation. - Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu:
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data. - Steven Spratley, Daniel Beck, Trevor Cohn:
A Unified Neural Architecture for Instrumental Audio Tasks. - Chao Cao, Pete Trautman, Soshi Iba:
Dynamic Channel: A Planning Framework for Crowd Navigation. - Longtu Zhang, Mamoru Komachi:
Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information. - Juraj Kolcák, Ichiro Hasuo, Jérémy Dubut, Shin-ya Katsumata, David Sprunger, Akihisa Yamada:
Relational Differential Dynamic Logic. - Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman:
Characterizing Activity on the Deep and Dark Web. - Sixing Hu, Gim Hee Lee:
Image-Based Geo-Localization Using Satellite Imagery. - Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner:
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. - Chul-Ho Lee, Srinivas Tenneti, Do Young Eun:
Transient Dynamics of Epidemic Spreading and its Mitigation on Large Networks. - Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Y. Halevy, H. V. Jagadish:
Open Information Extraction from Question-Answer Pairs. - Ting Zhao, Xiangqian Wu:
Pyramid Feature Selective Network for Saliency detection. - Junhao Hua, Chunguang Li:
Distributed Variational Bayesian Algorithms for Extended Object Tracking. - Guocai He:
Lung CT Imaging Sign Classification through Deep Learning on Small Data. - Samir Benbelkacem, Djamel Aouam, Nadia Zenati-Henda, Abdelkader Bellarbi, Ahmed Bouhena, Samir Otmane:
MVC-3D: Adaptive Design Pattern for Virtual and Augmented Reality Systems. - Ahmad Ahmadi, Reza Faghih Mirzaee:
MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography - Comparison between Single-Cycle and Multi-Cycle Architectures. - Xiang Gu, Sina Ghiassian, Richard S. Sutton:
Should All Temporal Difference Learning Use Emphasis? - Michael X. Cao, Pascal O. Vontobel:
Bounding and Estimating the Classical Information Rate of Quantum Channels with Memory. - Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA based on Cramer-Wold metric. - Hui-Ming Wang, Xu Zhang, Qian Yang, Theodoros A. Tsiftsis:
Secure Users Oriented Downlink MISO NOMA. - Anna Dai, Zhifeng Zhao, Honggang Zhang, Rongpeng Li, Yugeng Zhou:
Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group. - Ryosuke Homma, Keiichi Soejima, Mitsuo Yoshida, Kyoji Umemura:
Analysis of User Dwell Time on Non-News Pages. - Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter:
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. - Edouard Leurent, Yann Blanco, Denis V. Efimov, Odalric-Ambrym Maillard:
Approximate Robust Control of Uncertain Dynamical Systems. - Daniele D'Angeli, Dominik Francoeur, Emanuele Rodaro, Jan Philipp Wächter:
Orbits of Automaton Semigroups and Groups. - Wim Martens, Matthias Niewerth, Tina Trautner:
A Trichotomy for Regular Trail Queries. - Lorenz Hübschle-Schneider, Peter Sanders:
Parallel Weighted Random Sampling. - Lars Berscheid, Thomas Rühr, Torsten Kröger:
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping. - Liyuan Pan, Yuchao Dai, Miaomiao Liu:
Single Image Deblurring and Camera Motion Estimation with Depth Map. - Muhammad Aslam Jarwar
A Framework for Detecting Event related Sentiments of a Community. - (Withdrawn) Dominant Dataset Selection Algorithms for Time-Series Data Based on Linear Transformation.
- Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang:
Mask Scoring R-CNN. - Ning Wang, Zi-Yi Wang, Jian-Guo Liu, Jingti Han:
Maximizing spreading influence via measuring influence overlap for social networks. - Ji Liu, Lei Zhang:
Optimal Projection Guided Transfer Hashing for Image Retrieval. - Ben Lonnqvist, Alasdair D. F. Clarke, Ramakrishna Chakravarthi:
Object Recognition in Deep Convolutional Neural Networks is Fundamentally Different to That in Humans. - Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Juan I. Nieto:
Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery. - Alexis Decurninge, Luis Garcia Ordóñez, Maxime Guillaud:
Covariance-Aided CSI Acquisition with Non-Orthogonal Pilots in Massive MIMO Systems. - Hafez Farazi, Sven Behnke:
Frequency Domain Transformer Networks for Video Prediction. - Giovanni de Carolis, Sergio Galeani, Mario Sassano:
Robust Hybrid Output Regulation for Linear Systems with Periodic Jumps: the non-semiclassical case. - Eloi Alonso, Bastien Moysset, Ronaldo O. Messina:
Adversarial Generation of Handwritten Text Images Conditioned on Sequences. - Cédric Renggli, Bojan Karlas, Bolin Ding, Feng Liu, Kevin Schawinski
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment. - Marc Carrascosa
Decentralized AP selection using Multi-Armed Bandits: Opportunistic ε-Greedy with Stickiness. - Manuel Gall, Stefanie Rinderle-Ma:
Visualizing Multiple Process Attributes in one 3D Process Representation. - Tony Lindeberg:
Provably scale-covariant networks from oriented quasi quadrature measures in cascade. - Robert Bredereck, Edith Elkind, Ayumi Igarashi:
Hedonic Diversity Games. - Bo Hu, Jianfei Cai, Tat-Jen Cham, Junsong Yuan:
Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos. - Erwan Le Merrer, Gilles Trédan:
TamperNN: Efficient Tampering Detection of Deployed Neural Nets. - Hans Yu, Matthew P. Juniper, Luca Magri:
Combined State and Parameter Estimation in Level-Set Methods. - Mohammad Vahid Jamali, Hessam Mahdavifar:
Uplink Non-Orthogonal Multiple Access over Mixed RF-FSO Systems. - I. S. W. B. Prasetya, Craig Q. H. D. Leek, Orestis Melkonian, Joris ten Tusscher, Jan van Bergen, J. M. Everink, Thomas van der Klis, Petar Kostic, Rick Meijerink, Roan Oosenbrug, Jelle J. Oostveen, Tijmen van den Pol, Mike de Vries, Wink M. van Zon:
Having Fun in Learning Formal Specifications. - Jasper De Bock, Gert de Cooman:
An alternative approach to coherent choice functions. - Huan Lei, Naveed Akhtar, Ajmal Mian:
Octree guided CNN with Spherical Kernels for 3D Point Clouds. - Mikel Elkano, Mikel Uriz, Humberto Bustince, Mikel Galar:
On the usage of the probability integral transform to reduce the complexity of multi-way fuzzy decision trees in Big Data classification problems. - Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. - JianMing Zhou, Yu Li:
Interpretation of NDTM in the definition of NP. - Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe:
Large-Scale Object Mining for Object Discovery from Unlabeled Video. - Robik Shrestha, Kushal Kafle, Christopher Kanan:
Answer Them All! Toward Universal Visual Question Answering Models. - Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski
Model-Based Reinforcement Learning for Atari. - Lu Xu, Jinhai Xiang, Yating Wang, Fuchuan Ni:
Data-driven Approach for Quality Evaluation on Knowledge Sharing Platform. - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark A. Anastasio:
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression. - Viktor Varkarakis, Shabab Bazrafkan, Peter Corcoran:
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets. - Joshua Peter Ebenezer, Bijaylaxmi Das, Sudipta Mukhopadhyay:
Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks. - Jiaming Xu, Yuan Zhong:
Improved queue-size scaling for input-queued switches via graph factorization. - Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Raia Hadsell:
Learning To Follow Directions in Street View. - Aritra Chowdhury, Malik Magdon-Ismail, Bülent Yener:
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines. - Rafiq Ahmed Mohammed, Kok Wai Wong, Mohd Fairuz Shiratuddin, Xuequn Wang:
Improving fraud prediction with incremental data balancing technique for massive data streams. - Angel Andres Daruna, Weiyu Liu, Zsolt Kira, Sonia Chernova:
RoboCSE: Robot Common Sense Embedding. - Daniel C. Elton, Dhruv Turakhia, Nischal Reddy, Zois Boukouvalas, Mark D. Fuge, Ruth M. Doherty, Peter W. Chung:
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora. - Yi Lu, Xiangyao Yu, Samuel Madden:
SCAR: Strong Consistency using Asynchronous Replication with Minimal Coordination. - Min Liu, Zherong Pan, Kai Xu, Kanishka Ganguly, Dinesh Manocha:
Generating Grasp Poses for a High-DOF Gripper Using Neural Networks. - Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Alessandro Nordio, Alberto Tarable:
Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale. - Amaury Van Bemten, Jochen W. Guck, Carmen Mas Machuca, Wolfgang Kellerer:
Bounded Dijkstra (BD): Search Space Reduction for Expediting Shortest Path Subroutines. - Felix G. Hamza-Lup, Ivan Sopin:
Web-Based 3D and Haptic Interactive Environments for e-Learning, Simulation, and Training. - Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. - Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda, Fei Xia, Alvaro Soto, Marynel Vázquez, Silvio Savarese:
A Behavioral Approach to Visual Navigation with Graph Localization Networks. - Saad Islam, Ahmad Moghimi, Ida Bruhns, Moritz Krebbel, Berk Gülmezoglu, Thomas Eisenbarth, Berk Sunar:
SPOILER: Speculative Load Hazards Boost Rowhammer and Cache Attacks. - Ivan Puddu, Daniele Lain, Moritz Schneider, Elizaveta Tretiakova, Sinisa Matetic, Srdjan Capkun:
TEEvil: Identity Lease via Trusted Execution Environments. - Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loïc Matthey, Matthew M. Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. - Amirhesam Shahvarani, Hans-Arno Jacobsen:
Parallel Index-based Stream Join on a Multicore CPU. - Liqun Lin, Shiqi Yu, Tiesong Zhao, Zhou Wang:
PEA265: Perceptual Assessment of Video Compression Artifacts. - Akash Jain, Manish Kumar, Rithvik Patibandla, Balamurugan R, Naveen Chandra R, Abhinav Arora, Akash K. Singh, Varun Pawar, Aditya Rai, Medha Agarwal, Priank Prasad, Vandit Sanadhya, Inshu Namdev, Nilay Shah, Saksham Mittal, Ayush Gupta, Naman Agarwal, Mangal Kothari:
Design and Development of Underwater Vehicle: ANAHITA. - Jaouhar Fattahi, Mohamed Mejri, Emil Pricop:
On the Security of Cryptographic Protocols Using the Little Theorem of Witness Functions. - Sihem Mesnager, Chunming Tang, Maosheng Xiong:
On the boomerang uniformity of (quadratic) permutations over F2n. - Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Insu Yun, Dhaval Kapil, Taesoo Kim:
Automatic Techniques to Systematically Discover New Heap Exploitation Primitives. - Sebastian Siebertz:
Parameterized Distributed Complexity Theory: A logical approach. - Giorgio Vinciguerra, Paolo Ferragina, Michele Miccinesi:
Superseding traditional indexes by orchestrating learning and geometry. - Laura Rieger
Aggregating explainability methods for neural networks stabilizes explanations. - Kyle D. Julian, Mykel J. Kochenderfer:
A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers. - Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray:
Improved Differentially Private Analysis of Variance. - Minxian Li, Xiatian Zhu, Shaogang Gong:
Unsupervised Tracklet Person Re-Identification. - Aadirupa Saha, Aditya Gopalan:
Regret Minimisation in Multinomial Logit Bandits. - Mark Bun, Nikhil S. Mande, Justin Thaler:
Sign-Rank Can Increase Under Intersection. - Frank Wang, Danjue Li:
A Nonlinear Model for Time Synchronization. - Zhihao Jiang, Haoyu Zhao:
An FPTAS for Stochastic Unbounded Min-Knapsack Problem. - Binghui Wang, Neil Zhenqiang Gong:
Attacking Graph-based Classification via Manipulating the Graph Structure. - Aadirupa Saha, Aditya Gopalan:
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model. - Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. - Fatemeh Sadat Tabei, Behnam Askarian:
Effect of Proxy Nodes on the Performance of TCP-Based Transport Layer Protocols in Wireless Sensor Networks. - Tianyu Li, Bolun Dai:
GRP Model for Sensorimotor Learning. - Sebastian Brandt, Klaus-Tycho Foerster, Jonathan Maurer, Roger Wattenhofer:
Online Graph Exploration on a Restricted Graph Class: Optimal Solutions for Tadpole Graphs. - Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho:
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. - Fausto Milletari, Vighnesh Birodkar, Michal Sofka:
Straight to the point: reinforcement learning for user guidance in ultrasound. - Hadi Ravanbakhsh, Sriram Sankaranarayanan, Sanjit A. Seshia:
Formal Policy Learning from Demonstrations for Reachability Properties. - Vladimir Batagelj, Daria Maltseva:
Temporal Bibliographic Networks. - Vladimir Batagelj:
On Fractional Approach to Analysis of Linked Networks. - Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. - Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini:
GAP: Generalizable Approximate Graph Partitioning Framework. - Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins:
Unsupervised Traffic Accident Detection in First-Person Videos. - Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid:
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. - Chenchen Zhu, Yihui He, Marios Savvides:
Feature Selective Anchor-Free Module for Single-Shot Object Detection. - Jun Jin, Masood Dehghan, Laura Petrich, Steven Weikai Lu, Martin Jägersand:
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration. - Jiali Duan, Qian Wang, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Robot Learning via Human Adversarial Games. - Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-view Clustering. - Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka:
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety. - Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury, Ilya Safro:
Centralities for Networks with Consumable Resources. - Jens Lundell, Francesco Verdoja, Ville Kyrki:
Robust Grasp Planning Over Uncertain Shape Completions. - Ryota Moriyama, Weiwei Wan, Kensuke Harada:
Dual-arm Assembly Planning Considering Gravitational Constraints. - Hongzhuo Liang, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Jianwei Zhang:
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring. - Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen:
Quaternion Convolutional Neural Networks. - Vasco Lopes
Controlling Robots using Artificial Intelligence and a Consortium Blockchain. - Qingkai Shi, Jun Wan, Yang Feng, Chunrong Fang, Zhenyu Chen:
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost. - Eric Monteiro, Elena Parmiggiani:
Synthetic Knowing: The Politics of the Internet of Things. - Andrei-Bogdan Puiu, Andrei-Octavian Brabete:
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media. - Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto:
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. - Paola Ardón, Kaisar Kushibar, Songyou Peng:
A Hybrid SLAM and Object Recognition System for Pepper Robot. - G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo:
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras. - Keisuke Yoshida, Masaki Inoue, Takeshi Hatanaka:
Instant MPC for linear systems and dissipativity-based stability analysis. - Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls:
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. - Dominik Dürrschnabel
DimDraw - A novel tool for drawing concept lattices. - Noshaba Cheema
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks. - Matteo Cinelli, Emanuele Brugnoli, Ana Lucía Schmidt, Fabiana Zollo, Walter Quattrociocchi, Antonio Scala:
Selective Exposure shapes the Facebook News Diet. - Fei Wen, Rendong Ying, Peilin Liu, Trieu-Kien Truong:
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm. - Binghan He, Huang Huang, Gray C. Thomas
Complex Stiffness Model of Physical Human-Robot Interaction: Implications for Control of Performance Augmentation Exoskeletons. - Xuhao Jiang, Liquan Shen, Guorui Feng, Liangwei Yu, Ping An:
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks. - Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu:
PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation. - Nirmit Desai, Linsong Chu, Raghu K. Ganti, Sebastian Stein, Mudhakar Srivatsa:
neuralRank: Searching and ranking ANN-based model repositories. - Viktor Malík, Martin Hruska, Peter Schrammel, Tomás Vojnar:
2LS: Heap Analysis and Memory Safety (Competition Contribution). - Paula Fraga-Lamas, Peio López-Iturri, Mikel Celaya-Echarri, Óscar Blanco-Novoa, Leyre Azpilicueta, José Varela-Barbeito, Francisco Falcone, Tiago M. Fernández-Caramés:
Design and Validation of a Bluetooth 5 Fog Computing Based Industrial CPS Architecture for Intelligent Industry 4.0 Shipyard Workshops. - Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu:
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. - Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zitai Xiao, Yuzhou Wu, Zhen-Jia Pang, Tong Lu:
Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II. - Sebastian R. Bader, Maria Maleshkova:
Virtual Representations for Iterative IoT Deployment. - Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration. - Cornelius Diekmann, Johannes Naab, Andreas Korsten, Georg Carle:
Agile Network Access Control in the Container Age. - Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne:
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks. - Pablo Barceló, Chih-Duo Hong, Xuan Bach Le, Anthony W. Lin, Reino Niskanen:
Monadic Decomposability of Regular Relations. - Fatih Tasyaran, Kerem Yildirir, Kamer Kaya, Mustafa Kemal Tas:
One Table to Count Them All: Parallel Frequency Estimation on Single-Board Computers. - Dimitrios Liarokapis, Elizabeth ONeil, Patrick ONeil:
HISTEX (HISTory EXerciser) : A tool for testing the implementation of Isolation Levels of Relational Database Management Systems. - Daniel S. Katz, Kenton McHenry, Caleb Reinking, Robert Haines:
Research Software Development & Management in Universities: Case Studies from Manchester's RSDS Group, Illinois' NCSA, and Notre Dame's CRC. - Shishir Nagaraja, Ryan Shah
Clicktok: Click Fraud Detection using Traffic Analysis. - Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. - Gautam Krishna, Co Tran, Jianguo Yu, Ahmed H. Tewfik:
Speech Recognition with no speech or with noisy speech. - Joel Z. Leibo, Edward Hughes, Marc Lanctot, Thore Graepel:
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research. - Udayan Khurana, Horst Samulowitz:
Automating Predictive Modeling Process using Reinforcement Learning. - Faseeh Ahmad, Esra Erdem, Volkan Patoglu:
A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach. - Sarah H. Q. Li, Yue Yu, Daniel J. Calderone, Lillian J. Ratliff, Behçet Açikmese:
Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games. - Alaa Alameer Ahmad, Hayssam Dahrouj
Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks. - Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama:
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. - Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang:
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. - (Withdrawn) Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning.
- Kyle D. Julian, Shivam Sharma, Jean-Baptiste Jeannin, Mykel J. Kochenderfer:
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions. - Jianrui Cai, Wangmeng Zuo, Lei Zhang:
Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring. - Qiuqiang Kong, Changsong Yu, Turab Iqbal, Yong Xu, Wenwu Wang, Mark D. Plumbley:
Weakly labelled AudioSet Classification with Attention Neural Networks. - Zong Peng, Beth Plale:
Reliable Access to Massive Restricted Texts: Experience-based Evaluation. - Keiller Nogueira, Jefersson A. dos Santos, Nathalia Menini, Thiago S. F. Silva, Leonor Patricia C. Morellato, Ricardo da Silva Torres:
Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks. - Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow:
Fairness in Recommendation Ranking through Pairwise Comparisons. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments. - Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch:
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents. - Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan:
AIRD: Adversarial Learning Framework for Image Repurposing Detection. - Nam Vo, Lu Jiang, James Hays:
Let's Transfer Transformations of Shared Semantic Representations. - Chunlei Liu:
Proof of Mining in Blockchain Systems. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Keyframe-based Direct Thermal-Inertial Odometry. - Aviral Kumar, Sunita Sarawagi:
Calibration of Encoder Decoder Models for Neural Machine Translation. - Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan:
3D Hand Shape and Pose Estimation from a Single RGB Image. - Brian Stumph, Miguel Hernandez Virto, Henry Medeiros, Amy Tabb, Scott Wolford, Kevin Rice, Tracy Leskey:
Detecting Invasive Insects with Unmanned Aerial Vehicles. - Nino Arsov, Martin Pavlovski, Ljupco Kocarev:
Stability of decision trees and logistic regression. - Md Jahidul Islam, Jiawei Mo, Junaed Sattar:
Robot-to-Robot Relative Pose Estimation using Humans as Markers. - Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu:
End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation. - Zhizheng Zhang, Jiale Chen, Zhibo Chen, Weiping Li:
Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments. - Vinayak Athavale, Aayush Naik, Rajas Vanjape, Manish Shrivastava:
Predicting Algorithm Classes for Programming Word Problems. - Sourav Mukherjee
How IT allows E-Participation in Policy-Making Process. - Hao Li, Jun Li, Xiaozhu Lin, Xiaohua Qian:
Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM. - Zhifei Zhang, Zhaowen Wang, Zhe L. Lin, Hairong Qi:
Image Super-Resolution by Neural Texture Transfer. - Yingkai Li, Pinyan Lu, Haoran Ye:
Revenue Maximization with Imprecise Distribution. - Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li:
Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing. - Amir Zadeh, Yao Chong Lim, Paul Pu Liang, Louis-Philippe Morency:
Variational Auto-Decoder. - Novak Boskov, Mihailo Isakov, Michel A. Kinsy:
CodeTrolley: Hardware-Assisted Control Flow Obfuscation. - Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in big data. - Samundra Deep, Xi Zheng, Len Hamey:
A survey of security and privacy issues in the Internet of Things from the layered context. - Wenchao Ding, Shaojie Shen:
Online Vehicle Trajectory Prediction using Policy Anticipation Network and Optimization-based Context Reasoning. - Wenchao Ding, Jing Chen, Shaojie Shen:
Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network. - Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David S. Doermann, Ling Shao:
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network. - Gongjie Zhang, Shijian Lu, Wei Zhang:
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery. - Masashi Anzawa, Sosuke Amano, Yoko Yamakata, Keiko Motonaga, Akiko Kamei, Kiyoharu Aizawa:
Recognition of Multiple Food Items in a Single Photo for Use in a Buffet-Style Restaurant. - Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman:
Less is More: Learning Highlight Detection from Video Duration. - Soumajyoti Sarkar, Ruocheng Guo, Paulo Shakarian:
Using network motifs to characterize temporal network evolution leading to diffusion inhibition. - Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot:
Face Image Reflection Removal. - Michael Elkin, Shaked Matar:
Near-Additive Spanners In Low Polynomial Deterministic CONGEST Time. - Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun:
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution. - Karen López-Linares, Inmaculada García, Ainhoa García-Familiar, Iván Macía, Miguel Ángel González Ballester:
3D convolutional neural network for abdominal aortic aneurysm segmentation. - Yasir Hussain, Zhiqiu Huang, Senzhang Wang, Yu Zhou:
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling. - Yu Zhou, Yanqi Su, Taolue Chen, Zhiqiu Huang, Harald C. Gall, Sebastiano Panichella:
User Review-Based Change File Localization for Mobile Applications. - Long Zeng, Zhi-Kai Dong, Yi-Fan Xu:
Robust corner and tangent point detection for strokes with deep learning approach. - Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. - Wendong Wang, Jianjun Wang:
Deterministic Analysis of Weighted BPDN With Partially Known Support Information. - Xuhong Wang, Ying Du, Shijie Lin, Ping Cui, Yupu Yang:
Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection. - Anirudha Vishvakarma:
MILDNet: A Lightweight Single Scaled Deep Ranking Architecture. - Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao:
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. - Dingfu Zhou, Yuchao Dai, Hongdong Li:
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry. - Lu Sheng, Junting Pan, Jiaming Guo, Jing Shao, Xiaogang Wang, Chen Change Loy:
Unsupervised Bi-directional Flow-based Video Generation from one Snapshot. - Bing Yu, Mengzhang Li, Jiyong Zhang, Zhanxing Zhu:
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting. - Benedikt Ahrens, André Hirschowitz, Ambroise Lafont, Marco Maggesi:
Modular specification of monads through higher-order presentations. - Jun Li, Xiaozhu Lin, Hui Che
Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. - Jasmine Collins, Johannes Ballé, Jonathon Shlens:
Accelerating Training of Deep Neural Networks with a Standardization Loss. - Andrej Kitanov, Vadim Indelman:
Topological Information-Theoretic Belief Space Planning with Optimality Guarantees. - Bai Li, Yi-Te Hsu, Frank Rudzicz:
Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus. - Suleiman Adamu, Jamilu Awwalu:
The Role of Artificial Intelligence (AI) in Adaptive eLearning System (AES) Content Formation: Risks and Opportunities involved. - Yang Liu, Kai Sun:
Solving Power System Differential Algebraic Equations Using Differential Transformation. - Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy:
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Mehrdad Dianati, Naofal Al-Dhahir:
Energy Efficiency Analysis of Collaborative Compressive Sensing Scheme in Cognitive Radio Networks. - Junhong Xu, Kai Yin, Lantao Liu:
State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. - Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. - Babak Alipour, Leonardo Tonetto, Roozbeh Ketabi, Aaron Yi Ding, Jörg Ott, Ahmed Helmy:
Practical Prediction of Human Movements Across Device Types and Spatiotemporal Granularities. - Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
Decision-Focused Learning of Adversary Behavior in Security Games. - Naveen Madapana, Md. Masudur Rahman, Natalia Sanchez-Tamayo, Mythra V. Balakuntala, Glebys T. Gonzalez, Jyothsna Padmakumar Bindu, L. N. Vishnunandan Venkatesh, Xingguang Zhang, Juan Barragan Noguera, Thomas Low, Richard M. Voyles, Yexiang Xue, Juan P. Wachs:
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots. - Cunjian Chen, Arun Ross:
Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network. - Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. - Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara:
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals. - Soheil Salehi, Ramtin Zand, Ronald F. DeMara:
Clockless Spin-based Look-Up Tables with Wide Read Margin. - Aaron Weiss, Daniel Patterson, Nicholas D. Matsakis, Amal Ahmed:
Oxide: The Essence of Rust. - Rahul Shome, Wei N. Tang, Changkyu Song, Chaitanya Mitash, Hristiyan Kourtev, Jingjin Yu, Abdeslam Boularias, Kostas E. Bekris:
Towards Robust Product Packing with a Minimalistic End-Effector. - Andrea Nicastro, Ronald Clark, Stefan Leutenegger:
X-Section: Cross-section Prediction for Enhanced RGBD Fusion. - Rahul Shome, Kiril Solovey, Andrew Dobson, Dan Halperin, Kostas E. Bekris:
dRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning. - Yi Li, Vasileios Nakos:
Deterministic Sparse Fourier Transform with an ell_infty Guarantee. - Waqar Ali, Heechul Yun:
RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems. - Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen:
Self-Supervised Learning of Face Representations for Video Face Clustering. - Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo:
Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience. - Ismail Akrout, Amal Feriani, Mohamed Akrout:
Hacking Google reCAPTCHA v3 using Reinforcement Learning. - Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin:
Scaling up budgeted reinforcement learning. - (Withdrawn) Pushing the Boundaries of Asymptotic Optimality for Sampling-based Roadmaps In Motion And Task Planning.
- Bardia Doosti:
Hand Pose Estimation: A Survey. - Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. - Michael K. Cohen, Elliot Catt, Marcus Hutter:
Strong Asymptotic Optimality in General Environments. - Hossein Aboutalebi, Doina Precup, Tibor Schuster:
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. - Hee-Seung Moon, Jiwon Seo:
Prediction of Human Trajectory Following a Haptic Robotic Guide Using Recurrent Neural Networks. - Sadegh Rabiee, Joydeep Biswas:
iVOA: Introspective Vision for Obstacle Avoidance. - Poojan Oza, Vishal M. Patel:
Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier. - Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti:
A Fundamental Performance Limitation for Adversarial Classification. - Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Spatiotemporal Pyramid Network for Video Action Recognition. - Kalyan KS, S. Sangeetha:
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing. - Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover
CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors. - Baoyang Song, Hasan Poonawala, Laura Wynter, Sebastien Blandin:
Robust commuter movement inference from connected mobile devices. - Yusuke Kobayashi:
An FPT Algorithm for Minimum Additive Spanner Problem. - Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. - Zhi Gang Liu, Matthew Mattina:
Learning low-precision neural networks without Straight-Through Estimator(STE). - Javier del Valle, Pavel Salev, Yoav Kalcheim, Ivan K. Schuller:
A caloritronics-based Mott neuristor. - Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn:
NoRML: No-Reward Meta Learning. - Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. - Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino, Aviv Tamar, Pieter Abbeel:
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly. - Antoni Rosinol, Torsten Sattler, Marc Pollefeys, Luca Carlone:
Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities. - Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio:
Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure. - Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah:
COMIC: Towards A Compact Image Captioning Model with Attention. - Heman Shakeri, Ali Tavasoli, Ehsan Ardjmand, Pietro Poggi-Corradini:
Designing Optimal Multiplex Networks for Certain Laplacian Spectral Properties. - Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song:
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize. - Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu, Xiaodong He:
From Knowledge Map to Mind Map: Artificial Imagination. - Yankan Song, Ying Chen, Zhitong Yu, Shaowei Huang, Chen Shen:
CloudPSS: A High-Performance Power System Simulator Based on Cloud Computing. - Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. - Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li:
Automatic microscopic cell counting by use of deeply-supervised density regression model. - Arghya Pal, Vineeth N. Balasubramanian:
Zero-Shot Task Transfer. - David Sprunger, Shin-ya Katsumata:
Differentiable Causal Computations via Delayed Trace. - Muhammad Hafizhuddin Hilman, Maria Alejandra Rodriguez
Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform. - Neri Merhav:
Error Exponents of Typical Random Trellis Codes. - Corentin J. Lapeyre, Nicolas Cazard, Pamphile T. Roy
Reconstruction of Hydraulic Data by Machine Learning. - Qiao Li, David Wenzhong Gao, Lin Cheng, Fang Zhang, Weihang Yan:
Fully Distributed DC Optimal Power Flow Based on Distributed Economic Dispatch and Distributed State Estimation. - Wenchao Ding, Wenliang Gao, Kaixuan Wang, Shaojie Shen:
Trajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization. - Derong Xie, Jinquan Luo:
Asymmetric Single Magnitude Four Error Correcting Codes. - Diego Aineto, Sergio Jiménez, Eva Onaindia:
Learning STRIPS Action Models with Classical Planning. - Hang Zhang, Xiaoying Zheng, Ye Xia, Mingqi Li:
Workflow Scheduling in the Cloud with Weighted Upward-rank Priority Scheme Using Random Walk and Uniform Spare Budget Splitting. - Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters. - Gabriel Istrate, Cosmin Bonchis, Alin Brîndusescu:
Attacking Power Indices by Manipulating Player Reliability. - Prayag Tiwari, Massimo Melucci:
Binary Classifier Inspired by Quantum Theory. - Gaku Narita, Takashi Seno, Tomoya Ishikawa, Yohsuke Kaji:
PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things. - Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neural Networks for Nonlinear Control Problems. - Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Complement Objective Training. - Jacopo Castellini:
Krylov Iterative Methods for the Geometric Mean of Two Matrices Times a Vector. - Bernadette Spieler, Libora Oates-Indruchová, Wolfgang Slany:
Female Teenagers in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivation. - Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal:
STEFANN: Scene Text Editor using Font Adaptive Neural Network. - Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Collaborative Spatio-temporal Feature Learning for Video Action Recognition. - July X. Li, Pascal O. Vontobel:
Pseudocodeword-based Decoding of Quantum Stabilizer Codes. - Hoda Heidari, Vedant Nanda, Krishna P. Gummadi:
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. - James Lewis, Benedikte Rorstad:
Immersive VR as a Tool to Enhance Relaxation for Undergraduate Students with the Aim of Reducing Anxiety - A Pilot Study. - Jing Wang, Kuangen Zhang
Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition. - Wei-Wen Hsu, Chung-Hao Chen, Chang Hoa, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, Yanghong Tai:
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer. - Mien Brabeeba Wang, Nancy A. Lynch:
Integrating Temporal Information to Spatial Information in a Neural Circuit. - Samir Benbelkacem, Abdelkader Bellarbi, Nadia Zenati-Henda, Ahmed Bentaleb, Ahmed Nazim Bellabaci, Samir Otmane:
Low-cost VR Collaborative System equipped with Haptic Feedback. - Nikita Johnson, Tim Kelly:
An Assurance Framework for Independent Co-assurance of Safety and Security. - Kamran Ali, Xiaoling Xia:
A Reliabel and an efficient web testing system. - M. Hanefi Calp, Utku Kose:
Planning Activities in Software Testing Process: A Literature Review and Suggestions for Future Research. - (Withdrawn) Outage-Limit-Approaching Protograph LDPC Codes for Slow-Fading Wireless Communications.
- Abbas Emami-Naeini, Dick de Roover:
Bode's Sensitivity Integral Constraints: The Waterbed Effect in Discrete Time. - (Withdrawn) An Analysis of Pedestrians' Behavior in Emergency Evacuation Using Cellular Automata Simulation.
- Anupam Shome, Amit Kumar Dutta, Saswat Chakrabarti, Priyadip Ray:
Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Relay Networks with Randomly Located Nodes. - Kenji Maillard, Danel Ahman, Robert Atkey, Guido Martínez, Catalin Hritcu, Exequiel Rivas, Éric Tanter:
Dijkstra Monads for All. - Aran Sena, Brendan Michael, Matthew Howard:
Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation. - Oliver Scheel, Naveen Shankar Nagaraja, Loren Arthur Schwarz, Nassir Navab, Federico Tombari:
Attention-based Lane Change Prediction. - Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye:
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model. - Felix G. Hamza-Lup, Adrian Seitan, Dorin M. Popovici, Crenguta M. Bogdan:
Liver Pathology Simulation: Algorithm for Haptic Rendering and Force Maps for Palpation Assessment. - Frederik Diehl
Graph Neural Networks for Modelling Traffic Participant Interaction. - Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing:
Towards Structured Evaluation of Deep Neural Network Supervisors. - Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. - Gerhard Wohlgenannt, Nikolay Klimov, Dmitry Mouromtsev, Daniil S. Razdyakonov, Dmitry S. Pavlov, Yury Emelyanov:
Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata. - Gerhard Wohlgenannt, Ekaterina Chernyak, Dmitry I. Ilvovsky, Ariadna Barinova, Dmitry Mouromtsev:
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings. - Thomas Drugman, Goeric Huybrechts, Viacheslav Klimkov, Alexis Moinet:
Traditional Machine Learning for Pitch Detection. - Fedor V. Fomin, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh, Meirav Zehavi:
Decomposition of Map Graphs with Applications. - Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell:
The StreetLearn Environment and Dataset. - Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of MAP Inference in Deep Networks. - Ting Gan, Bican Xia, Bai Xue, Naijun Zhan:
Nonlinear Craig Interpolant Generation. - Elvin Isufi, Fernando Gama, Alejandro Ribeiro:
Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs. - Ningyu Zhang
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. - Michael Garrett Bechtel, Heechul Yun:
Denial-of-Service Attacks on Shared Cache in Multicore: Analysis and Prevention. - Fantin Girard, Conrad Kavalec, Farida Cheriet:
Joint segmentation and classification of retinal arteries/veins from fundus images. - Michalis Xenos, Vasiliki Velli:
A Serious Game for Introducing Software Engineering Ethics to University Students. - Bolei Wang, Mengnan Jian, Feifei Gao, Geoffrey Ye Li, Shi Jin, Hai Lin:
Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems. - Federico A. Galatolo
Using stigmergy as a computational memory in the design of recurrent neural networks. - Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. - Michalis Xenos, Maria Rigou:
Teaching HCI Design in a Flipped Learning M.Sc. Course Using Eye-Tracking Peer Evaluation Data. - Nikolay Sergievskiy, Alexander Ponamarev:
Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery. - Rachel Schlossman, Minkyu Kim, Ufuk Topcu, Luis Sentis:
Toward Achieving Formal Guarantees for Human-Aware Controllers in Human-Robot Interactions. - Vincent Berenz, Ahmed Bjelic, Jim Mainprice:
Automated Generation of Reactive Programs from Human Demonstration for Orchestration of Robot Behaviors. - Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki
Secure Data Offloading Strategy for Connected and Autonomous Vehicles. - Xi Liang, Aaron J. Elmore, Sanjay Krishnan:
Opportunistic View Materialization with Deep Reinforcement Learning. - Giulio Bacchiani
Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning. - Dror Fried, Axel Legay, Joël Ouaknine, Moshe Y. Vardi:
Sequential Relational Decomposition. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki
Efficient Millimeter-Wave Infrastructure Placement for City-Scale ITS. - Shayegan Omidshafiei, Christos H. Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Pérolat, Rémi Munos:
α-Rank: Multi-Agent Evaluation by Evolution. - Andrea Tassi, Ioannis Mavromatis, Robert J. Piechocki
Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs. - Minne Li, Pranav Nashikkar, Jun Wang:
Optimizing Object-based Perception and Control by Free-Energy Principle. - Gaurav Menghani, Dhruv Mátáni
A Simple Solution to the Level-Ancestor Problem. - Wenhao Yu, Visak C. V. Kumar, Greg Turk, C. Karen Liu:
Sim-to-Real Transfer for Biped Locomotion. - Sherif Abdulatif, Karim Armanious, Fady Aziz, Urs Schneider, Bin Yang:
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs. - Yoan Chabot, Aurélie Bertaux, Christophe Nicolle, M. Tahar Kechadi:
A complete formalized knowledge representation model for advanced digital forensics timeline analysis. - Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Towards A Methodology and Framework for Workflow-Driven Team Science. - Panagiotis Papadopoulos, Peter Snyder, Benjamin Livshits:
Another Brick in the Paywall: The Popularity and Privacy Implications of Paywalls. - Mihael Arcan, John P. McCrae, Paul Buitelaar:
Polylingual Wordnet. - Alice Cohen-Hadria, Axel Roebel, Geoffroy Peeters:
Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation. - Céline Jacques, Axel Roebel:
Data Augmentation for Drum Transcription with Convolutional Neural Networks. - Haitao Wang:
A Divide-and-Conquer Algorithm for Two-Point L1 Shortest Path Queries in Polygonal Domains. - Hui-Ming Wang, Qian Yang, Zhiguo Ding, H. Vincent Poor:
Secure Short-Packet Communications for Mission-Critical IoT Applications. - Manoj Kumar
VideoFlow: A Flow-Based Generative Model for Video. - Quanyan Zhu:
Game Theory for Cyber Deception: A Tutorial. - Brijnesh J. Jain:
Making the Dynamic Time Warping Distance Warping-Invariant. - Borko Boskovic, Janez Brest:
Two-level protein folding optimization on a three-dimensional AB off-lattice model. - Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu:
Hedging the Drift: Learning to Optimize under Non-Stationarity. - Nguyen Binh Truong, Gyu Myoung Lee, Tai-Won Um, Michael Mackay:
Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things. - Lavinia Egidi, Giovanni Manzini:
Lightweight merging of compressed indices based on BWT variants. - Stefano Pini, Marcella Cornia, Federico Bolelli, Lorenzo Baraldi, Rita Cucchiara:
M-VAD Names: a Dataset for Video Captioning with Naming. - Sara Evensen, Aaron Feng, Alon Y. Halevy, Jinfeng Li, Vivian Li, Yuliang Li, Huining Liu, George A. Mihaila, John Morales, Natalie Nuno, Ekaterina Pavlovic, Wang-Chiew Tan, Xiaolan Wang:
Voyageur: An Experiential Travel Search Engine. - Wentao Huang, Kechen Zhang:
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding. - Zheng Chen, Lantao Liu:
Creating Navigable Space from Sparse Noisy Map Points. - Ghaith Hattab, Danijela Cabric:
Unlicensed Spectrum Sharing for Massive Internet-of-Things Communications. - Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. - Mohammed E. Fouda, Ahmed M. Eltawil, Fadi J. Kurdahi:
On Resistive Memories: One Step Row Readout Technique and Sensing Circuitry. - Waleed Iqbal, Junaid Qadir, Gareth Tyson, Adnan Noor Mian, Saeed-Ul Hassan, Jon Crowcroft:
A Bibliometric Analysis of Publications in Computer Networking Research. - Yue Zhang, Scott Eisele, Abhishek Dubey, Aron Laszka, Anurag K. Srivastava:
Cyber-Physical Simulation Platform for Security Assessment of Transactive Energy Systems. - Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert D. Mullins:
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. - Mohammad Farhadi, Yezhou Yang:
TKD: Temporal Knowledge Distillation for Active Perception. - Sébastien de Blois, Ihsen Hedhli, Christian Gagné:
Learning of Image Dehazing Models for Segmentation Tasks. - Dibakar Gope, Ganesh Dasika, Matthew Mattina:
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications. - Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni:
Selective Sensor Fusion for Neural Visual-Inertial Odometry. - Navyata Sanghvi, Ryo Yonetani, Kris M. Kitani:
Modeling Social Group Communication with Multi-Agent Imitation Learning. - Blair D. Sullivan, Andrew van der Poel, Trey Woodlief:
Faster Biclique Mining in Near-Bipartite Graphs. - Atrisha Sarkar, Krzysztof Czarnecki:
A behavior driven approach for sampling rare event situations for autonomous vehicles. - Kaveh Bakhsh Kelarestaghi, Mahsa Foruhandeh, Kevin P. Heaslip, Ryan M. Gerdes:
Survey on Vehicular Ad Hoc Networks and Its Access Technologies Security Vulnerabilities and Countermeasures. - Svebor Karaman, Xudong Lin, Xuefeng Hu, Shih-Fu Chang:
Unsupervised Rank-Preserving Hashing for Large-Scale Image Retrieval. - Sangeun Oh, Yongsu Jung, Seongsin Kim, Ikjin Lee, Namwoo Kang:
Generative Design Exploration by Integrating Deep Generative Models and Topology Optimization. - Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung:
Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning. - Boyang Zhang:
An Explorative Study of GitHub Repositories of AI Papers. - Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer:
Model Primitive Hierarchical Lifelong Reinforcement Learning. - Abhishek Patil, Srikanth Malla, Haiming Gang, Yi-Ting Chen:
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes. - Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames:
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems. - Prithviraj Dhar, Carlos Domingo Castillo, Rama Chellappa:
On measuring the iconicity of a face. - Genya Ishigaki, Riti Gour, Jason P. Jue:
Improving the Survivability of Clustered Interdependent Networks by Restructuring Dependencies. - Michael Danielczuk
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter. - Bruno França, Marvin Wissfeld, Pascal Berrang, Philipp von Styp-Rekowsky, Reto Trinkler:
Albatross: An optimistic consensus algorithm. - Bruno França:
Enso: A general-purpose virtual machine. - Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Unsupervised Domain-Specific Deblurring via Disentangled Representations. - Bruno França, Sophie Radermacher, Reto Trinkler:
Katallassos: A standard framework for finance. - Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation. - Haojun Yang, Kan Zheng, Long Zhao, Lajos Hanzo:
Twin-Timescale Radio Resource Management for Ultra-Reliable and Low-Latency Vehicular Networks. - Huijun Wu, Chen Wang, Yuriy Tyshetskiy
The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques. - Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin:
The Lottery Ticket Hypothesis at Scale. - Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan:
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search. - Hannan Bin Liaqat, Amjad Ali, Junaid Qadir, Ali Kashif Bashir, Muhammad Bilal
Socially-Aware Congestion Control in Ad-Hoc Networks: Current Status and The Way Forward. - Hyun-Jae Kang, Jae-wook Jang, Aziz Mohaisen, Huy Kang Kim:
Detecting and Classifying Android Malware using Static Analysis along with Creator Information. - Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck:
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. - Srikanth Srinivasan:
Strongly Exponential Separation Between Monotone VP and Monotone VNP. - Weiwei Wan, Kensuke Harada, Fumio Kanehiro:
Planning Grasps for Assembly Tasks. - Logan E. Beaver, Behdad Chalaki, A. M. Ishtiaque Mahbub, Liuhui Zhao, Ray Zayas, Andreas A. Malikopoulos:
Demonstration of a Time-Efficient Mobility System Using a Scaled Smart City. - Brian D. Hoskins, Matthew W. Daniels
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. - Zheng Dong, He Chen, Jian-Kang Zhang, Branka Vucetic:
Noncoherent Multiuser Massive SIMO for Low-Latency Industrial IoT Communications. - Tianyi Li, Mai Xu, Ren Yang, Xiaoming Tao:
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC. - He Chen, Zheng Dong, Branka Vucetic:
Noncoherent and Non-orthogonal Massive SIMO for Critical Industrial IoT Communications. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments. - Shehryar Khattak, Christos Papachristos, Kostas Alexis:
Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments. - Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre:
Custom Code Generation for a Graph DSL. - Xuezhou Zhang, Xiaojin Zhu:
Online Data Poisoning Attack. - Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, J. Krishna Murthy, Liam Paull:
Deep Active Localization. - Hideki Tamura, Konrad E. Prokott, Roland W. Fleming:
Distinguishing mirror from glass: A 'big data' approach to material perception. - Biwei Huang, Kun Zhang, Jiji Zhang, Joseph D. Ramsey, Ruben Sanchez-Romero
Causal Discovery from Heterogeneous/Nonstationary Data. - Ruimin Ke, Wan Li, Zhiyong Cui, Yinhai Wang:
Two-Stream Multi-Channel Convolutional Neural Network (TM-CNN) for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact. - Zhiqiang Wei, Lei Yang, Derrick Wing Kwan Ng, Jinhong Yuan, Lajos Hanzo:
On the Performance Gain of NOMA over OMA in Uplink Communication Systems. - Rodolfo Migon Favaretto, Leandro Dihl, Soraia Raupp Musse, Felipe Vilanova, Angelo Brandelli Costa:
Using Big Five Personality Model to Detect Cultural Aspects in Crowds. - Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton:
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment. - Hamidreza Alvari, Elham Shaabani, Soumajyoti Sarkar, Ghazaleh Beigi, Paulo Shakarian:
Less is More: Semi-Supervised Causal Inference for Detecting Pathogenic Users in Social Media. - Hao Jiang, Quanzeng You:
Real-time Multiple People Hand Localization in 4D Point Clouds. - Yuxiao Ye, Yue Zhang, Weikang Li, Likun Qiu, Jian Sun:
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings. - David P. Anderson:
BOINC: A Platform for Volunteer Computing. - Xiao Song, Xu Zhao, Liangji Fang, Hanwen Hu:
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection. - Hiroshi Hayano, Masanori Takano, Soichiro Morishita, Mitsuo Yoshida, Kyoji Umemura:
Analysis of the Influence of Internet TV Station on Wikipedia Page Views. - Yang Li, Kevin B. Korb, Lloyd Allison:
The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality. - Elodie Chanthery, Louise Travé-Massuyès, Yannick Pencolé, Régis De Ferluc, Brice Dellandréa:
Applying Active Diagnosis to Space Systems by On-Board Control Procedures. - Jehyuk Jang, Heung-No Lee:
Profitable Double-Spending Attacks. - Zhengwei Bai, Baigen Cai, Wei ShangGuan, Linguo Chai:
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network. - Ismaïla Seck, Gaëlle Loosli, Stéphane Canu:
L 1-norm double backpropagation adversarial defense. - Wei Jiang, Na Ying:
Improve Object Detection by Data Enhancement based on Generative Adversarial Nets. - James P. Bailey, Georgios Piliouras:
Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System. - Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng
Mining Dual Emotion for Fake News Detection. - Rémi Domingues:
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification. - Jiaqiyu Zhan, Zhiqiang Bai, Yuesheng Zhu:
A Novel Efficient Approach with Data-Adaptive Capability for OMP-based Sparse Subspace Clustering. - Quoc-Tin Phan, Michele Vascotto, Giulia Boato:
Hue Modification Localization By Pair Matching. - Markus Borg, Oscar Svensson, Kristian Berg, Daniel Hansson:
SZZ Unleashed: An Open Implementation of the SZZ Algorithm - Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project. - (Withdrawn) DeepStego: Protecting Intellectual Property of Deep Neural Networks by Steganography.
- Kyatsandra G. Nagananda, Pramod P. Khargonekar:
Reduced-rank Analysis of the Total Least Squares. - Ziyu Liu, Meng Zhou, Weiqing Cao, Qiang Qu, Henry Wing Fung Yeung, Vera Yuk Ying Chung:
Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning. - Sanjiang Li, Yongming Li:
Semi-dynamic shortest-path tree algorithms for directed graphs with arbitrary weights. - Pietro Danzi, Anders E. Kalør, René B. Sørensen, Alexander K. Hagelskjær, Lam Duc Nguyen, Cedomir Stefanovic, Petar Popovski:
Communication Aspects of the Integration of Wireless IoT Devices with Distributed Ledger Technology. - Hamdi Joudeh, Bruno Clerckx:
DoF Region of the MISO BC with Partial CSIT: Proof by Inductive Fourier-Motzkin Elimination. - Huiru Gao, Haifeng Nie, Ke Li:
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. - Jie Zhang, Myoungsoo Jung, Mahmut Taylan Kandemir:
FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads. - Taha Hassan, D. Scott McCrickard:
Trust and Trustworthiness in Social Recommender Systems. - Silvio Giancola, Jesus Zarzar, Bernard Ghanem
Leveraging Shape Completion for 3D Siamese Tracking. - Miltiades C. Filippou, Dario Sabella, Vincenzo Riccobene:
Flexible MEC service consumption through edge host zoning in 5G networks. - Boules A. Mouris, Hadi G. Ghauch, Ragnar Thobaben, B. Lars G. Jonsson:
Multi-tone Signal Optimization for Wireless Power Transfer in the Presence of Wireless Communication Links. - Esther Galby, Paloma T. Lima, Bernard Ries:
Reducing the domination number of graphs via edge contractions. - Federico Boniardi, Abhinav Valada, Rohit Mohan, Tim Caselitz, Wolfram Burgard:
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. - Esther Galby, Andrea Munaro, Bernard Ries:
CPG graphs: Some structural and hardness results. - Alexandr Katrutsa, Ivan V. Oseledets:
Preconditioning Kaczmarz method by sketching. - Hugo Lhachemi, Ammar Malik, Robert Shorten:
Augmented Reality, Cyber-Physical Systems, and Feedback Control for Additive Manufacturing: A Review. - Constantin Steppa, Tim Lukas Holch:
HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch. - Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Learning to Branch: Accelerating Resource Allocation in Wireless Networks. - Simon R. Lang, Martin H. Luerssen, David M. W. Powers:
Virtual Ground Truth, and Pre-selection of 3D Interest Points for Improved Repeatability Evaluation of 2D Detectors. - Tommy Nilsson, Andy Crabtree, Joel E. Fischer, Boriana Koleva:
Breaching the Future: Understanding Human Challenges of Autonomous Systems for the Home. - Lam Duc Nguyen
Towards Skewness and Balancing of RPL Trees for the Internet of Things. - Atri Bhattacharyya, Alexandra Sandulescu, Matthias Neugschwandtner, Alessandro Sorniotti, Babak Falsafi, Mathias Payer, Anil Kurmus:
SMoTherSpectre: exploiting speculative execution through port contention. - Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai:
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. - Yanxiang Jiang, Xiaoting Cui, Mehdi Bennis, Fu-Chun Zheng:
Cooperative Caching in Fog Radio Access Networks: A Graph-based Approach. - Yin Tat Lee, Swati Padmanabhan
An Õ(m/ε3.5)-Cost Algorithm for Semidefinite Programs with Diagonal Constraints. - Cyrus Anderson, Xiaoxiao Du, Ram Vasudevan, Matthew Johnson-Roberson:
Stochastic Sampling Simulation for Pedestrian Trajectory Prediction. - Xiaohu Ge:
Ultra-Reliable Low-Latency Communications in Autonomous Vehicular Networks. - Zhixin Wang, Kui Jia:
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection. - Maximiliano Celmo David Budán, Gerardo I. Simari, Ignacio D. Viglizzo, Guillermo Ricardo Simari:
An Approach to Characterize Graded Entailment of Arguments through a Label-based Framework. - Christoph Matthies, Johannes Huegle, Tobias Dürschmid, Ralf Teusner:
Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. - Babak Hosseini, Barbara Hammer
Multiple-Kernel Dictionary Learning for Reconstruction and Clustering of Unseen Multivariate Time-series. - Maximiliano Celmo David Budán, Maria Laura Cobo, Diego C. Martínez, Guillermo Ricardo Simari:
Bipolar in Temporal Argumentation Framework. - Irene Unceta, Jordi Nin, Oriol Pujol:
Copying Machine Learning Classifiers. - Reuben Feinman, Brenden M. Lake:
Learning a smooth kernel regularizer for convolutional neural networks. - Pedro Henrique Del Bianco Hokama
Evolutionary framework for two-stage stochastic resource allocation problems. - Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak:
Genetic-Gated Networks for Deep Reinforcement. - Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Gated Graph Convolutional Recurrent Neural Networks. - Torgeir Dingsøyr, Emil Røyrvik, Hans Karim Djarraya:
Practical Knowledge Management Tool Use in a Software Consulting Company. - Tommi Jauhiainen, Heidi Jauhiainen, Tero Alstola, Krister Lindén:
Language and Dialect Identification of Cuneiform Texts. - Pranshu Gupta:
Algorithms Inspired by Nature: A Survey. - Zhaoyang Ai, Chaodong Fan, Yingjie Zhang, Huigui Rong, Ze'an Tian, Haibing Fu:
Boundary Evolution Algorithm for SAT-NP. - Marijn van Knippenberg, Vlado Menkovski, Sergio Consoli:
Evolutionary Construction of Convolutional Neural Networks. - Guillermo Fuertes, Manuel Vargas, Miguel D. Alfaro, Rodrigo Soto-Garrido, Jorge Sabattin, María Alejandra Peralta:
Chaotic Genetic Algorithm and The Effects of Entropy in Performance Optimization. - Antoine Barbez, Foutse Khomh, Yann-Gaël Guéhéneuc:
A Machine-learning Based Ensemble Method For Anti-patterns Detection. - Sabah Al-Fedaghi, Ali Abdullah Alkhaldi:
Thinging for Computational Thinking. - Amay Agrawal, Dixita Limbachiya, Ravikumar M., Taslimarif Saiyed, Manish K. Gupta:
BacSoft: A Tool to Archive Data on Bacteria. - (Withdrawn) FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms.
- Daniel Valenzuela, Dmitry Kosolobov, Gonzalo Navarro, Simon J. Puglisi:
Lempel-Ziv-like Parsing in Small Space. - Senthil Nathan, Chander Govindarajan, Adarsh Saraf, Manish Sethi, Praveen Jayachandran:
Blockchain Meets Database: Design and Implementation of a Blockchain Relational Database. - Edgardo Ferretti, Luciano H. Tamargo, Alejandro Javier García, Marcelo Luis Errecalde, Guillermo Ricardo Simari:
An approach to Decision Making based on Dynamic Argumentation Systems. - Anwen Liao, Zhen Gao, Hua Wang, Sheng Chen, Mohamed-Slim Alouini
Closed-Loop Sparse Channel Estimation for Wideband MmWave FD-MIMO Systems. - Milosz Kadzinski, Jan Badura, José Rui Figueira:
Using a Segmenting Description approach in Multiple Criteria Decision Aiding. - Matteo Stefanini, Riccardo Lancellotti, Lorenzo Baraldi, Simone Calderara:
A Deep Learning based approach to VM behavior identification in cloud systems. - Jianlin Su:
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks. - Akiyoshi Sannai, Yuuki Takai, Matthieu Cordonnier:
Universal approximations of permutation invariant/equivariant functions by deep neural networks. - Chao Gao, Yuan Yao, Weizhi Zhu:
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective. - Yazan Abu Farha, Juergen Gall:
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation. - Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan:
Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels. - Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, Zhoujun Li:
TableBank: Table Benchmark for Image-based Table Detection and Recognition. - Marcela S. Melara, David H. Liu, Michael J. Freedman:
Pyronia: Redesigning Least Privilege and Isolation for the Age of IoT. - Peter Braam:
The Lustre Storage Architecture. - Tao Chen, Saurabh Gupta, Abhinav Gupta:
Learning Exploration Policies for Navigation. - Amin Karamlou, Kristijonas Cyras, Francesca Toni:
Complexity Results and Algorithms for Bipolar Argumentation. - Maximiliano Celmo David Budán, María Laura Cobo, Diego C. Martínez, Antonino Rotolo:
Dealing with Qualitative and Quantitative Features in Legal Domains. - Avinash Sharma, Wally Niu, Christopher L. Hunt, George Levay, Rahul R. Kaliki, Nitish V. Thakor:
Augmented Reality Prosthesis Training Setup for Motor Skill Enhancement. - Saeed Amizadeh, Sergiy Matusevych, Markus Weimer:
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers. - Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. - Emre Ozfatura, Deniz Gündüz, Sennur Ulukus:
Gradient Coding with Clustering and Multi-message Communication. - Delia Fano Yela
Visibility graphs for robust harmonic similarity measures between audio spectra. - Emad Aghayi, Thomas D. LaToza, Paurav Surendra, Seyedmeysam Abolghasemi:
Implementing Microservices through Microtasks. - Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Nicola Paoletti, Andrea Patane, Matthew Wicker:
Statistical Guarantees for the Robustness of Bayesian Neural Networks. - Julie Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. - Masayoshi Kubo, Ryotaro Banno, Hidetaka Manabe, Masataka Minoji:
Implicit Regularization in Over-parameterized Neural Networks. - Michael Thomas Wojnowicz, Xuan Zhao:
PROPS: Probabilistic personalization of black-box sequence models. - Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. - Prasoon Goyal, Scott Niekum, Raymond J. Mooney:
Using Natural Language for Reward Shaping in Reinforcement Learning. - Mohammad Asiful Hossain, Mehrdad Hosseinzadeh, Omit Chanda, Yang Wang:
Crowd Counting Using Scale-Aware Attention Networks. - Ali Behfarnia, Ali Eslami:
Risk Assessment of Autonomous Vehicles Using Bayesian Defense Graphs. - Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. - Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Learning a Lattice Planner Control Set for Autonomous Vehicles. - Adarsh Sehgal, Ashutosh Singandhupe, Hung Manh La, Alireza Tavakkoli, Sushil J. Louis:
Lidar-Monocular Visual Odometry with Genetic Algorithm for Parameter Optimization. - Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks. - Xiaowei Xu:
On the Quantization of Cellular Neural Networks for Cyber-Physical Systems. - Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi:
Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms. - Yingchong Ma, Zvi Shiller:
Pose Estimation of Vehicles Over Uneven Terrain. - Erdem Akagündüz, Adrian G. Bors
Defining Image Memorability using the Visual Memory Schema. - Arjen A. van der Meer, Cornelius Steinbrink, Kai Heussen, Daniel Esteban Morales Bondy, Merkebu Zenebe Degefa, Filip Pröstl Andrén, Thomas I. Strasser, Sebastian Lehnhoff, Peter Palensky:
Design of experiments aided holistic testing of cyber-physical energy systems. - Thong Hoang, Julia Lawall, Richard Jayadi Oentaryo, Yuan Tian, David Lo:
PatchNet: A Tool for Deep Patch Classification. - Shobhit Jain, Paolo Tiso:
Model Order Reduction for Temperature-Dependent Nonlinear Mechanical Systems: A Multiple Scales Approach. - Jonathon Sather:
Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning. - Amine Mhedhbi, Semih Salihoglu:
Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins. - Faouzi Bellili, Foad Sohrabi, Wei Yu:
Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation with Laplacian Prior. - Rushikesh Kamalapurkar:
Output-feedback online optimal control for a class of nonlinear systems. - Nazeeh Ghatasheh, Hossam Faris, Ibrahim Aljarah, Rizik M. H. Al-Sayyed:
Optimizing Software Effort Estimation Models Using Firefly Algorithm. - Sambit Mohapatra, Heinrich Gotzig, Senthil Kumar Yogamani, Stefan Milz, Raoul Zöllner:
Exploring Deep Spiking Neural Networks for Automated Driving Applications. - Samira Vafay Eslahi, Nader Jafarnia Dabanloo, Keivan Maghooli:
A GA-based feature selection of the EEG signals by classification evaluation: Application in BCI systems. - Yifeng Zhang, Ka Ho Chow, S.-H. Gary Chan:
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data. - Brian Crafton, Abhinav Parihar, Evan Gebhardt, Arijit Raychowdhury:
Direct Feedback Alignment with Sparse Connections for Local Learning. - Florian Richter
Open-Sourced Reinforcement Learning Environments for Surgical Robotics. - Behzad Hassani, Pooran Singh Negi, Mohammad H. Mahoor:
Bounded Residual Gradient Networks (BReG-Net) for Facial Affect Computing. - João Silvério, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell:
Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. - Zhi Tian, Tong He, Chunhua Shen, Youliang Yan:
Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation. - Ghazaleh Beigi, Suhas Ranganath, Huan Liu:
Signed Link Prediction with Sparse Data: The Role of Personality Information. - Pengxia Wu, Zichuan Liu, Julian Cheng:
Compressed CSI Feedback With Learned Measurement Matrix for mmWave Massive MIMO. - Philip Colangelo, Oren Segal, Alexander Speicher, Martin Margala:
Evolutionary Cell Aided Design for Neural Network Architectures. - Qi Li, Yunfan Liu, Zhenan Sun:
Age Progression and Regression with Spatial Attention Modules. - Tianxing He, James R. Glass:
Negative Training for Neural Dialogue Response Generation. - Da Li, Zhang Zhang:
Large-Scale Pedestrian Retrieval Competition. - Xiaoying Zheng, Ye Xia:
Exploring Mixed Integer Programming Reformulations for Virtual Machine Placement with Disk Anti-Colocation Constraints. - Hui Jiang:
Why Learning of Large-Scale Neural Networks Behaves Like Convex Optimization. - Rouzbeh Behnia, Muslum Ozgur Ozmen, Attila A. Yavuz:
ARIS: Authentication for Real-Time IoT Systems. - Luxin Han, Fei Gao, Boyu Zhou, Shaojie Shen:
FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots. - Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu:
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. - (Withdrawn) Safeguarded Dynamic Label Regression for Generalized Noisy Supervision.
- Ruoxi Wang, Chao Chen, Jonghyun Lee
PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels. - Weinan E, Chao Ma, Qingcan Wang:
A Priori Estimates of the Population Risk for Residual Networks. - De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao:
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification. - Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation. - Kazuhiro Kurita
An Efficient Algorithm for Enumerating Chordal Bipartite Induced Subgraphs in Sparse Graphs. - Sanghwan Bae, Jihun Choi, Sang-goo Lee:
SNU_IDS at SemEval-2019 Task 3: Addressing Training-Test Class Distribution Mismatch in Conversational Classification. - Ahmed Ayyad, Nassir Navab, Mohamed Elhoseiny
Semi-Supervised Few-Shot Learning with Local and Global Consistency. - Dilpreet Singh, Nina Rajcic, Simon Colton, Jon McCormack:
Camera Obscurer: Generative Art for Design Inspiration. - Jon McCormack, Toby Gifford, Patrick Hutchings:
Autonomy, Authenticity, Authorship and Intention in computer generated art. - Taimoor Akhtar, Christine A. Shoemaker:
Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search. - Marwan Mattar, Roozbeh Mottaghi, Julian Togelius, Danny Lange:
AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence. - Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu:
Representative Task Self-selection for Flexible Clustered Lifelong Learning. - Wen Zhang, Kai Shu, Huan Liu, Yalin Wang:
Graph Neural Networks for User Identity Linkage. - Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka:
Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning. - Suthee Ruangwises, Toshiya Itoh:
Stable Noncrossing Matchings. - Yu Chen, Lingfei Wu, Mohammed J. Zaki:
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases. - Qin Zou, Hanwen Jiang, Qiyu Dai, Yuanhao Yue, Long Chen, Qian Wang:
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks. - Mojgan Pourhassan, Vahid Roostapour, Frank Neumann:
Runtime Analysis of RLS and (1+1) EA for the Dynamic Weighted Vertex Cover Problem. - Pramuditha Perera, Vishal M. Patel:
Deep Transfer Learning for Multiple Class Novelty Detection. - Yujiao Cheng, Liting Sun, Masayoshi Tomizuka:
Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction. - Yang Li, Lloyd Allison, Kevin B. Korb:
Proving the NP-completeness of optimal moral graph triangulation. - Guangfeng Lin, Wanjun Chen, Kaiyang Liao, XiaoBing Kang, Caixia Fan:
Transfer feature generating networks with semantic classes structure for zero-shot learning. - Martin Brossard, Axel Barrau, Silvère Bonnabel:
RINS-W: Robust Inertial Navigation System on Wheels. - Andrew Razjigaev, Ajay K. Pandey, Jonathan Roberts, Liao Wu:
Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm. - Guillaume Bellegarda, Katie Byl:
Training in Task Space to Speed Up and Guide Reinforcement Learning. - Yali Chen, Bo Ai, Yong Niu, Ruisi He, Zhangdui Zhong, Zhu Han:
Resource Allocation for Device-to-Device Communications in Multi-Cell Multi-Band Heterogeneous Cellular Networks. - Mkhuseli Ngxande, Jules-Raymond Tapamo, Michael Burke:
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis. - Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Dixit: Interactive Visual Storytelling via Term Manipulation. - Kaimo Lin, Nianjuan Jiang, Loong Fah Cheong, Jiangbo Lu, Xun Xu:
Robust Video Background Identification by Dominant Rigid Motion Estimation. - Eissa Jaber Alreshidi, Mohammad Bilal:
Characterizing Human Behaviours Using Statistical Motion Descriptor. - Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Positively Scale-Invariant Flatness of ReLU Neural Networks. - Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn:
Photo-realistic Image Super-resolution with Fast and Lightweight Cascading Residual Network. - Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu:
Distributed Policy Learning Based Random Access for Diversified QoS Requirements. - Jack Umenberger, Thomas B. Schön:
Nonlinear input design as optimal control of a Hamiltonian system. - Arjun R. Akula, Song-Chun Zhu:
Visual Discourse Parsing. - Peter G. Boyvalenkov, Danyo Danev:
Linear Programming Bounds. - Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly:
High-Fidelity Image Generation With Fewer Labels. - Omar Abdelaziz, Minzhou Luo, Guanwu Jiang, Saixuan Chen:
Multiple configurations for puncturing robot positioning. - Johann Laconte, Christophe Debain, Roland Chapuis, François Pomerleau, Romuald Aufrère:
Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment. - Amin Ghazanfari, Emil Björnson, Erik G. Larsson:
Optimized Power Control for Massive MIMO with Underlaid D2D Communications. - Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel:
Video-based surgical skill assessment using 3D convolutional neural networks. - Tobias Klamt, Sven Behnke:
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces. - Eti Chaudhary
Pinaka: Symbolic Execution meets Incremental Solving (Competition Contribution). - Konstantinos Nikolaidis, Stein Kristiansen, Vera Goebel, Thomas Plagemann:
Learning from Higher-Layer Feature Visualizations. - Parisa Nouri, Hirley Alves, Richard Demo Souza, Matti Latva-aho:
In-Band Pilot Overhead in Ultra-Reliable Low Latency Decode and Forward Relaying. - Muhammed Kocabas, Salih Karagoz, Emre Akbas
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry. - Juha Yli-Kaakinen, Toni Levanen, Arto Palin, Markku Renfors, Mikko Valkama:
Generalized Fast-Convolution-based Filtered-OFDM: Techniques and Application to 5G New Radio. - A. K. M. Bahalul Haque, Md. Amdadul Bari, Sayed Saiful Arman, Farhat Tasnim Progga:
A Secure Communication Scheme for Corporate and Defense Community. - Martin Lück, Miikka Vilander:
On the Succinctness of Atoms of Dependency. - Matthieu Komorowski, Leo A. Celi, Omar Badawi, Anthony C. Gordon, A. Aldo Faisal:
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care. - Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen:
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning. - Michel Fliess, Cédric Join, Maria Bekcheva, Alireza Moradi, Hugues Mounier:
Easily implementable time series forecasting techniques for resource provisioning in cloud computing. - Hugo A. Akitaya, Maike Buchin, Leonie Ryvkin, Jérôme Urhausen:
The k-Fréchet distance. - Jiasong Wu, Hongshan Ren, Youyong Kong, Chunfeng Yang, Lotfi Senhadji, Huazhong Shu:
Compressing complex convolutional neural network based on an improved deep compression algorithm. - Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Closure of VP under taking factors: a short and simple proof. - Mahdi Barzegar Khalilsarai, Stelios Stefanatos, Gerhard Wunder, Giuseppe Caire:
WiFi-Based Indoor Localization via Multi-Band Splicing and Phase Retrieval. - Roman Werpachowski
Detecting Overfitting via Adversarial Examples. - Jiadong Han:
An Adaptive Grid Algorithm for Computing the Homology Group of Semialgebraic Set. - Konstantin Avrachenkov, Jasper Goseling, Berksan Serbetci:
Distributed Cooperative Caching for VoD with Geographic Constraints. - Liat Antwarg, Bracha Shapira, Lior Rokach:
Explaining Anomalies Detected by Autoencoders Using SHAP. - Nujoom Sageer Karat, B. Sundar Rajan:
On the Optimality of Ali-Niesen Decentralized Coded Caching Scheme With and Without Error Correction. - Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere
A Grounded Interaction Protocol for Explainable Artificial Intelligence. - Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang:
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. - Milena Veneva, Alexander Ayriyan:
Performance Analysis of Effective Symbolic Methods for Solving Band Matrix SLAEs. - Yuri S. Sarkisov, Min Jun Kim, Davide Bicego, Dzmitry Tsetserukou, Christian Ott, Antonio Franchi, Konstantin Kondak:
Development of SAM: cable-Suspended Aerial Manipulator. - Matthias Fey, Jan Eric Lenssen:
Fast Graph Representation Learning with PyTorch Geometric. - Loïc Le Folgoc
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. - Ian Wright, Albert Ziegler:
The standard coder: a machine learning approach to measuring the effort required to produce source code change. - Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier:
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. - Christoph Matthies, Franziska Dobrigkeit, Guenter Hesse:
An Additional Set of (Automated) Eyes: Chatbots for Agile Retrospectives. - Stéphane Breuils, Vincent Nozick, Laurent Fuchs, Akihiro Sugimoto:
Efficient representation and manipulation of quadratic surfaces using Geometric Algebras. - Siddharth Gupta, Guy Sa'ar, Meirav Zehavi:
The Parameterized Complexity of Motion Planning for Snake-Like Robots. - Sebastian S. Feger, Sünje Dallmeier-Tiessen, Pawel W. Wozniak, Albrecht Schmidt:
Gamification in Science: A Study of Requirements in the Context of Reproducible Research. - Markus Ring, Sarah Wunderlich, Deniz Scheuring, Dieter Landes, Andreas Hotho:
A Survey of Network-based Intrusion Detection Data Sets. - Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn, Tom Rainforth, Hongseok Yang, Frank Wood:
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models. - Alexandre Gariépy, Jean-Christophe Ruel, Brahim Chaib-draa, Philippe Giguère:
GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier. - Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao:
Object Counting and Instance Segmentation with Image-level Supervision. - Jawadul H. Bappy, Cody Simons, Lakshmanan Nataraj, B. S. Manjunath, Amit K. Roy-Chowdhury:
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries. - Sen He, Hamed R. Tavakoli, Ali Borji, Nicolas Pugeault:
A Synchronized Multi-Modal Attention-Caption Dataset and Analysis. - Huitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng:
Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure. - Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault:
Understanding and Visualizing Deep Visual Saliency Models. - Julian G. Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull:
The AI Driving Olympics at NeurIPS 2018. - Guangzhi Tang, Arpit Shah, Konstantinos P. Michmizos:
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM. - Junjie Ma, Rishabh Dudeja, Ji Xu, Arian Maleki, Xiaodong Wang:
Spectral Method for Phase Retrieval: an Expectation Propagation Perspective. - Jiayun Li
Image captioning with weakly-supervised attention penalty. - Nikola K. Blanchard, Eldar Fischer, Oded Lachish, Felix Reidl:
Longest paths in 2-edge-connected cubic graphs. - Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor:
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation. - Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura:
Learning multimodal representations for sample-efficient recognition of human actions. - Mauricio Matamoros, Viktor Seib, Dietrich Paulus:
Trends, Challenges and Adopted Strategies in RoboCup@Home. - Aritra Chowdhury, Malik Magdon-Ismail, Bülent Yener:
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines. - Mingyong Zhou:
Can One Design a Series of Brains for Neuromorphic Computing to solve complex inverse problems. - Jiameng Fan, Wenchao Li:
Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation. - Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, Claire J. Tomlin:
Combining Optimal Control and Learning for Visual Navigation in Novel Environments. - J. Ian Munro, Sebastian Wild
Entropy Trees and Range-Minimum Queries In Optimal Average-Case Space. - Toshiki Matsumine, Toshiaki Koike-Akino
Channel Decoding with Quantum Approximate Optimization Algorithm. - Chad E. Brown, Thibault Gauthier, Cezary Kaliszyk, Geoff Sutcliffe, Josef Urban:
GRUNGE: A Grand Unified ATP Challenge. - Matteo Maggiolo, Gerasimos Spanakis:
Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction. - Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Relational Pooling for Graph Representations. - Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. - Aditya Sundararajan, Arif I. Sarwat
A Survey on Modality Characteristics, Performance Evaluation Metrics, and Security for Traditional and Wearable Biometric Systems. - Deguang Wang, Junzhong Shen, Mei Wen, Chunyuan Zhang:
Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs. - Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel. - Yunlong Huang:
A Lane-Change Path Planner and its application with a monocular camera. - Tavi Halperin, Harel Cain, Ofir Bibi, Michael Werman:
Clear Skies Ahead: Towards Real-Time Automatic Sky Replacement in Video. - Guanxiong Liu, Issa Khalil, Abdallah Khreishah:
GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier. - Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. - Hsu-Chieh Hu, Stephen F. Smith:
Softpressure: A Schedule-Driven Backpressure Algorithm for Coping with Network Congestion. - Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. - Francesco Kriegel:
Incremental Computation of Concept Diagrams. - Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David W. Nellans, Stephen W. Keckler:
Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs. - Rami Puzis, Hadar Polad, Bracha Shapira:
Attack Graph Obfuscation. - Mingwei Wei, James Stokes, David J. Schwab:
Mean-field Analysis of Batch Normalization. - Hooman Abasi, Mostafa Salehi, Vahid Ranjbar:
HRSON: Home-based Routing for Smartphones in Opportunistic Networks. - Yousra Javed, Mohamed Shehab:
Visual Analysis of Photo Policy Misconfigurations Using Treemaps. - Ruturaj K. Vaidya, Lorenzo De Carli, Drew Davidson, Vaibhav Rastogi:
Security Issues in Language-based Sofware Ecosystems. - Yousra Javed, Boyd Davis, Mohamed Shehab:
Seniors' Media Preference for Receiving Internet Security Information: A Pilot Study. - Julien Proy, Karine Heydemann, Fabien Majéric, Albert Cohen, Alexandre Berzati:
Studying EM Pulse Effects on Superscalar Microarchitectures at ISA Level. - Eric E. Severson, David Haley, David Doty:
Composable computation in discrete chemical reaction networks. - Eldad Haber, Keegan Lensink, Eran Treister
IMEXnet: A Forward Stable Deep Neural Network. - Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Generative Graph Convolutional Network for Growing Graphs. - Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
Structure-Preserving Community In A Multilayer Network: Definition, Detection, And Analysis. - Adrián Javaloy Bornás, Ginés García-Mateos:
A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder. - Sergio Cabello, Jean Cardinal, John Iacono, Stefan Langerman, Pat Morin, Aurélien Ooms:
Encoding 3SUM. - Nicholas Ketz, Soheil Kolouri, Praveen K. Pilly:
Using World Models for Pseudo-Rehearsal in Continual Learning. - Jessica Hoffmann, Constantine Caramanis:
Learning Graphs from Noisy Epidemic Cascades. - Mengxi Wei, Yifan He, Qiong Zhang, Luo Si:
Multi-Instance Learning for End-to-End Knowledge Base Question Answering. - Sharon Qian, Yaron Singer:
Fast Parallel Algorithms for Feature Selection. - Jessica Cooper, Ognjen Arandjelovic
Understanding Ancient Coin Images. - Gerhard Wohlgenannt, Ariadna Barinova, Dmitry I. Ilvovsky, Ekaterina Chernyak:
Creation and Evaluation of Datasets for Distributional Semantics Tasks in the Digital Humanities Domain. - Yair Carmon, John C. Duchi, Aaron Sidford, Kevin Tian:
A Rank-1 Sketch for Matrix Multiplicative Weights. - Rishabh Dudeja, Milad Bakhshizadeh, Junjie Ma, Arian Maleki:
Rigorous Analysis of Spectral Methods for Random Orthogonal Matrices. - Xi Shen, Alexei A. Efros, Mathieu Aubry:
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning. - Shafeeq Elanattil, Peyman Moghadam:
Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction. - Wang Gang:
A Novel Neural Network Structure Constructed according to Logical Relations. - Hongliang Zhang, Boya Di, Kaigui Bian, Lingyang Song:
IoT-U: Cellular Internet-of-Things Networks over Unlicensed Spectrum. - Jie Chen, Lap-Pui Chau, Junhui Hou:
Stratified Labeling for Surface Consistent Parallax Correction and Occlusion Completion. - Dorin M. Popovici, Felix G. Hamza-Lup, Adrian Seitan, Crenguta M. Bogdan:
Comparative Study of APIs and Frameworks for Haptic Application Development. - Chris von Csefalvay
Novel quantitative indicators of digital ophthalmoscopy image quality. - Yi Peng, Shihao Sun, Yining Pan, Ruirui Li:
Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing Images. - Dengji Zhao, Bin Li
Selling Multiple Items via Social Networks. - Ming-Chun Lee, Andreas F. Molisch:
Individual Preference Aware Caching Policy Design in Wireless D2D Networks. - Amir Karami, Vishal Shah, Reza Vaezi, Amit Bansal:
Twitter Speaks: A Case of National Disaster Situational Awareness. - Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif:
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. - Emilio Parisotto, Soham Ghosh, Sai Bhargav Yalamanchi, Varsha Chinnaobireddy, Yuhuai Wu, Ruslan Salakhutdinov:
Concurrent Meta Reinforcement Learning. - Yifan Hou, Matthew T. Mason:
Robust Execution of Contact-Rich Motion Plans by Hybrid Force-Velocity Control. - Yujie Chen, Yu Qian, Yichen Yao, Zili Wu, Rongqi Li, Yinzhi Zhou, Haoyuan Hu, Yinghui Xu:
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System. - Xiaohu Ge, Haoming Jia, Yi Zhong, Yong Xiao, Yonghui Li, Branka Vucetic:
Energy Efficient Optimization of Wireless-powered 5G Full Duplex Cellular Networks: A Mean Field Game Approach. - Zhenliang Zhang, Cong Wang, Dongdong Weng, Yue Liu, Yongtian Wang:
Symmetrical Reality: Toward a Unified Framework for Physical and Virtual Reality. - Minghui LiWang, Seyyedali Hosseinalipour, Zhibin Gao, Yuliang Tang, Lianfen Huang, Huaiyu Dai:
Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds. - Wyatt Felt:
An Inverting-Tube Clutching Contractile Soft Pneumatic Actuator. - Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro:
Graphical Contrastive Losses for Scene Graph Generation. - Junde Wu, Xiaoguang Di, Jiehao Huang, Yu Zhang:
Learning deep neural networks in blind deblurring framework. - Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang
CE-Net: Context Encoder Network for 2D Medical Image Segmentation. - Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu:
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing. - Vasileios Nakos, Zhao Song:
Stronger L2/L2 Compressed Sensing; Without Iterating. - Noriaki Hirose, Fei Xia, Roberto Martín-Martín, Amir Sadeghian, Silvio Savarese:
Deep Visual MPC-Policy Learning for Navigation. - Peter Robinson, John Brainard:
Anonymous State Pinning for Private Blockchains. - Arnold Filtser:
A face cover perspective to 𝓁1 embeddings of planar graphs. - Sreeja Nair, Gustavo Petri, Marc Shapiro:
Invariant Safety for Distributed Applications. - Jianhao Jiao, Rui Fan, Han Ma, Ming Liu:
Using DP Towards A Shortest Path Problem-Related Application. - Yuanxi Ma, Cen Wang, Guli Zhang, Qilei Jiang, Shiying Li, Jingyi Yu:
Hair Segmentation on Time-of-Flight RGBD Images. - Imane Guellil, Houda Saadane, Faiçal Azouaou, Billel Gueni, Damien Nouvel:
Arabic natural language processing: An overview. - Menglei Hu, Songcan Chen:
Doubly Aligned Incomplete Multi-view Clustering. - Kristina Preuer, Günter Klambauer, Friedrich Rippmann, Sepp Hochreiter
Interpretable Deep Learning in Drug Discovery. - Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng:
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction. - Donmoon Lee, Jaejun Lee, Jeongsoo Park, Kyogu Lee:
Enhancing Music Features by Knowledge Transfer from User-item Log Data. - Linu Pinto, Sasi Gopalan:
Limiting Network Size within Finite Bounds for Optimization. - Christoph Buchheim, Dorothee Henke:
The robust bilevel continuous knapsack problem. - Weifeng Ge, Xiangru Lin, Yizhou Yu:
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up. - Steffen Eger, Chao Li, Florian Netzer, Iryna Gurevych:
Predicting Research Trends From Arxiv. - Erelcan Yanik, Tevfik Metin Sezgin:
Active Scene Learning. - Chandrika Bhardwaj, Sanjiva Prasad:
Only Connect, Securely. - Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim:
The Privacy Blanket of the Shuffle Model. - Shlomi Dolev, Sayaka Kamei, Yoshiaki Katayama, Fukuhito Ooshita, Koichi Wada:
Neighborhood Mutual Remainder: Self-Stabilizing Implementation of Look-Compute-Move Robots (Extended Abstract). - Thomas Drugman, Yannis Stylianou, Yusuke Kida, Masami Akamine:
Voice Activity Detection: Merging Source and Filter-based Information. - Thomas Drugman, Janne Pylkkönen, Reinhard Kneser:
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models. - Milad Moradi:
Small-world networks for summarization of biomedical articles. - Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder:
Deep Learning for Channel Coding via Neural Mutual Information Estimation. - Xinliang Song, Tonghan Wang, Chongjie Zhang:
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. - Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger:
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data. - Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou:
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis. - Chongwen Huang, George C. Alexandropoulos, Alessio Zappone, Chau Yuen, Mérouane Debbah:
Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems. - Navneet Agrawal, Matthias Frey, Slawomir Stanczak:
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks. - Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Robust and Communication-Efficient Federated Learning from Non-IID Data. - Vivek Bakaraju, Kishore Reddy Konda:
Only sparsity based loss function for learning representations. - Krishna Shingala:
JSON Web Token (JWT) based client authentication in Message Queuing Telemetry Transport (MQTT). - Wei Song, Yifei Shen, Liping Li, Kai Niu, Chuan Zhang:
A General Construction and Encoder Implementation of Polar Codes. - Andrzej Kapanowski, Aleksander Krawczyk:
Halin graphs are 3-vertex-colorable except even wheels. - Nicholas Adrian, Quang-Cuong Pham:
Locating Transparent Objects to Millimetre Accuracy. - Abhrajit Sengupta, Mohammed Thari Nabeel, Johann Knechtel, Ozgur Sinanoglu:
A New Paradigm in Split Manufacturing: Lock the FEOL, Unlock at the BEOL. - Antonio Benítez-Hidalgo, Antonio J. Nebro, José García-Nieto, Izaskun Oregi, Javier Del Ser:
jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics. - Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, Michael J. Wooldridge:
Imitative Follower Deception in Stackelberg Games. - Dario Pasquini, Marco Mingione, Massimo Bernaschi:
Out-domain examples for generative models. - Mohammad Moltafet, Atefeh Rezaei, Nader Mokari, Mohammad Reza Javan, Hamid Saeedi, Hossein Pishro-Nik:
Joint Dynamic Pricing and Radio Resource Allocation Framework for IoT Services. - Antonios Anastasopoulos, Shankar Kumar, Hank Liao:
Neural Language Modeling with Visual Features. - Daniel Coggia, Alain Couvreur:
On the security of a Loidreau's rank metric code based encryption scheme. - Masoud Behzadinasab, John T. Foster:
On the stability of the generalized, finite deformation correspondence model of peridynamics. - Farhad Farzbod, Onome E. Scott-Emuakpor:
Force Analysis for Interactions beyond the Closest Neighbor in a Periodic Structure. - Bram van den Akker, Ilya Markov, Maarten de Rijke:
ViTOR: Learning to Rank Webpages Based on Visual Features. - Hadrien Tournaire, Franck Renaud, Jean-Luc Dion:
A reduction methodology using free-free component eigenmodes and Arnoldi enrichment. - Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang:
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. - Hermano Lustosa, Fábio Porto:
SAVIME: A Multidimensional System for the Analysis and Visualization of Simulation Data. - Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend:
SemEval 2019 Task 1: Cross-lingual Semantic Parsing with UCCA. - Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland:
Temporal Registration in Application to In-utero MRI Time Series. - Sanjay Sharma, C. Rama Krishna, Sanjay K. Sahay:
Detection of Advanced Malware by Machine Learning Techniques. - Dimitri Podborski, Jangwoo Son, Gurdeep Singh Bhullar, Cornelius Hellge, Thomas Schierl:
HTML5 MSE Playback of MPEG 360 VR Tiled Streaming. - Richard Droste, Yifan Cai, Harshita Sharma
Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention. - Nico Herbig, Santanu Pal, Josef van Genabith, Antonio Krüger:
Integrating Artificial and Human Intelligence for Efficient Translation. - Saahil Ognawala, Fabian Kilger, Alexander Pretschner:
Compositional Fuzzing Aided by Targeted Symbolic Execution. - Florian Strub, Marie-Agathe Charpagne, Tresa M. Pollock:
Correction of Electron Back-scattered Diffraction datasets using an evolutionary algorithm. - Da Tang, Rajesh Ranganath:
The Variational Predictive Natural Gradient. - Yangjun Sheng, Anthony Tomasic, Tieying Sheng, Andrew Pavlo:
Scheduling OLTP Transactions via Machine Learning. - Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Jasmine Hsu, Atil Iscen, Deepali Jain, Vikas Sindhwani:
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies. - Nikolaj Tatti:
Hierarchies in directed networks. - Joey Eremondi, Oscar H. Ibarra, Ian McQuillan:
On the Density of Context-Free and Counter Languages. - Vincent Froese, Brijnesh J. Jain, Maciej Rymar, Mathias Weller:
Fast Exact Dynamic Time Warping on Run-Length Encoded Time Series. - Lamine M. Aouad, Nhien-An Le-Khac, M. Tahar Kechadi
Performance study of distributed Apriori-like frequent itemsets mining. - Xavier Goaoc, Andreas F. Holmsen, Cyril Nicaud:
An Experimental Study of Forbidden Patterns in Geometric Permutations by Combinatorial Lifting. - Oscar H. Ibarra, Ian McQuillan:
On the Density of Languages Accepted by Turing Machines and Other Machine Models. - Matt Dixon, Nalin Asanka Gamagedara Arachchilage, James Nicholson:
Engaging Users with Educational Games: The Case of Phishing. - Tianyi Zhang, Shahrzad Shirzad, Patrick Diehl, R. Tohid, Weile Wei, Hartmut Kaiser:
An Introduction to hpxMP - A Modern OpenMP Implementation Leveraging Asynchronous Many-Tasking System. - Bilgin Aksoy, Alptekin Temizel:
Attack Type Agnostic Perceptual Enhancement of Adversarial Images. - Qiu Ran, Peng Li
Option Comparison Network for Multiple-choice Reading Comprehension. - David W. McDonald, Shan He:
HEAT: Hyperbolic Embedding of Attributed Networks. - Yiren Zhao, Xitong Gao, Daniel Bates
Efficient and Effective Quantization for Sparse DNNs. - Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman:
Training on the Edge: The why and the how. - Paulin Jacquot, Olivier Beaude, Pascal Benchimol, Stéphane Gaubert, Nadia Oudjane:
A Privacy-preserving Disaggregation Algorithm for Non-intrusive Management of Flexible Energy. - Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning: An Efficient and Discriminative Solution. - Damir Kahvedzic, M. Tahar Kechadi
DIALOG: A framework for modeling, analysis and reuse of digital forensic knowledge. - Ekaterina Abramova, Luke Dickens, Daniel Kuhn, Aldo Faisal:
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems. - Thomas Powell, Peter M. Schuster, Franziskus Wiesnet:
An algorithmic approach to the existence of ideal objects in commutative algebra. - Manolis Pitsikalis
Composite Event Recognition for Maritime Monitoring. - Fabio A. González, Juan C. Caicedo:
Quantum Latent Semantic Analysis. - Elisabeth de Carvalho, Anum Ali, Abolfazl Amiri, Marko Angjelichinoski, Robert W. Heath Jr.:
Non-Stationarities in Extra-Large Scale Massive MIMO. - Michael C. Fowler, T. Charles Clancy, Ryan K. Williams:
Intelligent Knowledge Distribution: Constrained-Action POMDPs for Resource-Aware Multi-Agent Communication. - Shuai Shao, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Label Embedded Dictionary Learning for Image Classification. - Matthew MacKay, Paul Vicol, Jonathan Lorraine, David Duvenaud, Roger B. Grosse:
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions. - Yuriy Zacchia Lun, Alessandro Abate, Alessandro D'Innocenzo:
Linear quadratic regulation of polytopic time-inhomogeneous Markov jump linear systems (extended version). - Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston:
Learning to Speak and Act in a Fantasy Text Adventure Game. - Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle:
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. - Ondrej Kuzelka, Vyacheslav Kungurtsev:
Lifted Weight Learning of Markov Logic Networks Revisited. - Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos, Paul G. Spirakis:
Computing Exact Solutions of Consensus Halving and the Borsuk-Ulam Theorem. - Abigail Hotaling, James P. Bagrow:
Accurate inference of crowdsourcing properties when using efficient allocation strategies. - (Withdrawn) Phase-aware Speech Enhancement with Deep Complex U-Net.
- Ahmed Elkelesh, Moustafa Ebada, Sebastian Cammerer, Stephan ten Brink:
Decoder-in-the-Loop: Genetic Optimization-based LDPC Code Design. - Beidi Chen, Tharun Medini, Anshumali Shrivastava:
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems. - Rasana Manandhar, Shaya Wolf, Mike Borowczak:
Dynamic Anonymized Evaluation for Behavioral Continuous Authentication. - Michael Fulton, Mustaf Ahmed, Junaed Sattar:
By Land, Air, or Sea: Multi-Domain Robot Communication Via Motion. - Ziwen Pan, Kaushik P. Seshadreesan, William Clark, Mark R. Adcock, Ivan B. Djordjevic, Jeffrey H. Shapiro, Saikat Guha:
Secret key distillation across a quantum wiretap channel under restricted eavesdropping. - Fergal Cotter, Nick G. Kingsbury:
A Learnable ScatterNet: Locally Invariant Convolutional Layers. - Trupti Mayee Behera, Sushanta Kumar Mohapatra, Umesh Chandra Samal, Mohammad S. Khan:
Hybrid Heterogeneous Routing Scheme for Improved Network Performance in WSNs for Animal Tracking. - John Iacono, Riko Jacob, Konstantinos Tsakalidis:
External memory priority queues with decrease-key and applications to graph algorithms. - Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation. - Julie M. Walker, Nabil Zemiti, Philippe Poignet, Allison M. Okamura:
Holdable Haptic Device for 4-DOF Motion Guidance. - Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos:
Input-Output Stability of Barrier-Based Model Predictive Control. - Poojan Oza, Vishal M. Patel:
Deep CNN-based Multi-task Learning for Open-Set Recognition. - M. Hanefi Calp
An Expert Module Design and Implementation that Evaluation the C&K Metric Suite in Terms of Object Oriented Software Quality. - M. Hanefi Calp
Risk Analysis and Success Levels of the Software Project Developed in Technocity. - Hao Tan, Wojciech M. Golab:
Shallow Overlay Trees Suffice for High-Throughput Consensus. - Abdullah Basar Akbay, Weina Wang, Junshan Zhang:
Impact of Social Learning on Privacy-Preserving Data Collection. - Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach:
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog. - Ganapati Bhat, Ranadeep Deb, Ümit Y. Ogras:
OpenHealth: Open Source Platform for Wearable Health Monitoring. - Scott H. Hawley:
Challenges for an Ontology of Artificial Intelligence. - A. Bensenouci, A. M. Abdel Ghany:
Optimal discrete-time output feedback control for multi-area load frequency control using evolutionary programming. - Kenny Young, Tian Tian:
MinAtar: An Atari-inspired Testbed for More Efficient Reinforcement Learning Experiments. - Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. - Zhu Chuning:
Fast Video Retargeting Based on Seam Carving with Parental Labeling. - Karel Chvalovský, Jan Jakubuv, Martin Suda, Josef Urban:
ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E. - Xuesu Xiao, Jan Dufek, Robin R. Murphy:
Explicit-risk-aware Path Planning with Reward Maximization. - Stephen Cranefield, Frank Dignum:
Incorporating social practices in BDI agent systems. - Charlie Mydlarz, Mohit S. Sharma, Yitzchak Lockerman, Ben Steers, Cláudio T. Silva, Juan Pablo Bello:
The life of a New York City noise sensor network. - Andreas Kotsios, Matteo Magnani, Luca Rossi, Irina Shklovski, Davide Vega:
An Analysis of the Consequences of the General Data Protection Regulation (GDPR) on Social Network Research. - Saieed Akbari, Tínaz Ekim, Amir Hossein Ghodrati, Sanaz Zare:
Well-indumatched Trees and Graphs of Bounded Girth. - Guangming Lang:
Three-Way Decisions-Based Conflict Analysis Models. - Guohao Yu, Alina Zare, Hudanyun Sheng, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi, Thomas E. Juenger:
Root Identification in Minirhizotron Imagery with Multiple Instance Learning. - Anne Driemel, Jeff M. Phillips, Ioannis Psarros:
The VC Dimension of Metric Balls under Fréchet and Hausdorff Distances. - Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. - Yogesh A. Girdhar, Levi Cai, Stewart Jamieson, Nathan McGuire, Genevieve Flaspohler, Stefano Suman, Brian Claus:
Streaming Scene Maps for Co-Robotic Exploration in Bandwidth Limited Environments. - Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe, Elisa Ricci:
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss. - Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. - Aniket Bera, Tanmay Randhavane, Rohan Prinja, Kyra Kapsaskis, Austin Wang, Kurt Gray, Dinesh Manocha:
The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments. - Rylo Ashmore, Arie Gurfinkel, Richard J. Trefler:
Local Reasoning for Parameterized First Order Protocols. - Sourav Mukherjee
Benefits of AWS in Modern Cloud. - Agustín Mailing, Segundo A. Molina, José Luis Hamkalo, Fernando Ruben Dobarro, Juan Miguel Medina, Bruno Cernuschi-Frías, Daniel A. Fernández, Érica Schlaps:
Pattern Recognition in SAR Images using Fractional Random Fields and its Possible Application to the Problem of the Detection of Oil Spills in Open Sea. - Bohan Wu, Iretiayo Akinola, Peter K. Allen:
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes. - John K. Feser, Samuel Madden, Nan Tang, Armando Solar-Lezama:
Deductive Optimization of Relational Data Storage. - Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer:
SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection. - Vaibhav Saxena, Srinivasan Sivanandan
Dyna-AIL : Adversarial Imitation Learning by Planning. - Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices. - Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier
Ranked List Loss for Deep Metric Learning. - Guanping Lu, Jinsong Wu, Robert C. Qiu:
Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing. - Hanan Aldarmaki, Mona T. Diab:
Context-Aware Cross-Lingual Mapping. - Takuya Fujihashi, Toshiaki Koike-Akino
HoloCast: Graph Signal Processing for Graceful Point Cloud Delivery. - Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Patrick M. Pilarski, Richard S. Sutton:
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning. - Yaqing Wang
General Convolutional Sparse Coding with Unknown Noise. - Daniel Molina, Kislay Kumar, Siddharth Srivastava:
Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks. - Michael Amir, Alfred M. Bruckstein:
Minimizing Travel in the Uniform Dispersal Problem for Robotic Sensors. - Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy:
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State. - Felix G. Hamza-Lup, William H. Baird:
Feel the Static and Kinetic Friction. - Yanpei Huang, Etienne Burdet, Lin Cao, Phuoc Thien Phan, Anthony Meng Huat Tiong, Pai Zheng, Soo Jay Phee:
Performance evaluation of a foot-controlled human-robot interface. - Felix G. Hamza-Lup, Crenguta M. Bogdan, Adrian Seitan:
Haptic Simulator for Liver Diagnostics through Palpation. - Aditya Arie Nugraha, Kouhei Sekiguchi, Kazuyoshi Yoshii:
A Deep Generative Model of Speech Complex Spectrograms. - Jasmin James, Jason J. Ford, Timothy L. Molloy:
Quickest Detection and Identification of Intermittent Signals with Application to Vision Based Aircraft Detection. - Felix G. Hamza-Lup, Crenguta M. Bogdan, Dorin M. Popovici, Ovidiu D. Costea:
A Survey of Visuo-Haptic Simulation in Surgical Training. - Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze:
FastDepth: Fast Monocular Depth Estimation on Embedded Systems. - Jasmin James, Jason J. Ford, Timothy L. Molloy:
Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid. - Prakash Murali, Ali Javadi-Abhari, Frederic T. Chong, Margaret Martonosi:
Formal Constraint-based Compilation for Noisy Intermediate-Scale Quantum Systems. - Yixue Zhao:
Mobile-App Analysis and Instrumentation Techniques Reimagined with DECREE. - Mark Giesbrecht, Armin Jamshidpey, Éric Schost:
Quadratic Probabilistic Algorithms for Normal Bases. - Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu:
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes. - Jason J. Ford, Jasmin James, Timothy L. Molloy:
On the Informativeness of Measurements in Shiryaev's Bayesian Quickest Change Detection. - Jie Xiong, Qi Wang:
Anonymous Auction Protocol Based on Time-Released Encryption atop Consortium Blockchain. - Thushari Atapattu, Katrina Falkner, Menasha Thilakaratne, Lavendini Sivaneasharajah, Rangana Jayashanka:
An Identification of Learners' Confusion through Language and Discourse Analysis. - Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin:
Towards Time-Aware Distant Supervision for Relation Extraction. - Sanjiang Li, Xueqing Yan:
Let's Play Mahjong! - Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. - Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu:
Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition. - Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan:
Learning from Synthetic Data for Crowd Counting in the Wild. - Stephen Hausler, Adam Jacobson, Michael Milford:
Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods. - Swati Goel, Ashton Anderson, Leila Zia:
Thanks for Stopping By: A Study of "Thanks" Usage on Wikimedia. - Roberto Cominetti, Marco Scarsini, Marc Schröder, Nicolás E. Stier Moses:
Price of Anarchy in Stochastic Atomic Congestion Games with Affine Costs. - Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation. - Huyan Huang, Yipeng Liu, Ce Zhu:
Provable Model for Tensor Ring Completion. - Yingxin Huo, Diancheng Chen, Xiang Li, Peng Li, Yun-Hui Liu:
Development of an Autonomous Sanding Robot with Structured-Light Technology. - Mingjie Shao, Wing-Kin Ma, Qiang Li, A. Lee Swindlehurst:
One-Bit Sigma-Delta MIMO Precoding. - Weiyue Wang, Duygu Ceylan, Radomír Mech, Ulrich Neumann:
3DN: 3D Deformation Network. - Sabreen Ahmadjee
A Taxonomy for Understanding the Security Technical Debts in Blockchain Based Systems. - Mikel Elkano, Humberto Bustince, Mikel Galar:
Do we still need fuzzy classifiers for Small Data in the Era of Big Data? - Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. - Sahil Manchanda
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. - Niloofar Azizi, Nils Wandel, Sven Behnke:
Complex Valued Gated Auto-encoder for Video Frame Prediction. - Mia Kokic, Danica Kragic, Jeannette Bohg:
Learning to Estimate Pose and Shape of Hand-Held Objects from RGB Images. - Foteini Simistira Liwicki, Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki:
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. - Le Me, Yanxun Chi, Zhiwei Li, Dongfu Xu, Yulong Zhang:
A framework of learning controller with Lyapunov-based constraint and application. - Furqan Jameel, Shurjeel Wyne, Ioannis Krikidis:
Secrecy Outage for Wireless Sensor Networks. - Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta:
Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network. - Nahla J. Abid, Bonita Sharif, Natalia Dragan, Hend Alrasheed, Jonathan I. Maletic:
Developer Reading Behavior While Summarizing Java Methods: Size and Context Matters. - Babak Hosseini, Barbara Hammer
Large-Margin Multiple Kernel Learning for Discriminative Features Selection and Representation Learning. - Victor S. Kozyakin:
Beware of DOI! A "bibliographic detective story" of the era of digitalization. - Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter, Naoshi Kaneko, Hedvig Kjellström:
Analyzing Input and Output Representations for Speech-Driven Gesture Generation. - Anjan Dutta, Zeynep Akata:
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval. - Karim Armanious, Chenming Jiang, Sherif Abdulatif, Thomas Küstner, Sergios Gatidis, Bin Yang:
Unsupervised Medical Image Translation Using Cycle-MedGAN. - Pavel Hubácek, Michal Koucký, Karel Král, Veronika Slívová:
Stronger Lower Bounds for Online ORAM. - Vikram Venkatraghavan, Florian Dubost, Esther E. Bron
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia. - Claudio Menghi, Shiva Nejati, Khouloud Gaaloul, Lionel C. Briand:
Generating Automated and Online Test Oracles for Simulink Models with Continuous and Uncertain Behaviors. - Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang:
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report). - Mark Daley, Mark G. Eramian, Christopher Power, Ian McQuillan:
From Helmut Jürgensen's Former Students: The Game of Informatics Research. - Zhenghai Chen, Tiow Seng Tan:
Computing Three-dimensional Constrained Delaunay Refinement Using the GPU. - Marc Maliar:
How Machine (Deep) Learning Helps Us Understand Human Learning: the Value of Big Ideas. - Cao Vien Phung, Jasenka Dizdarevic, Francisco Carpio, Admela Jukan:
Enhancing REST HTTP with Random Linear Network Coding in Dynamic Edge Computing Environments. - Thiago Freitas dos Santos, Paulo E. Santos, Leonardo Anjoletto Ferreira, Reinaldo A. C. Bianchi, Pedro Cabalar:
Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial Puzzles. - Dong-dong Zhang, Lei Zhang, Vladimir S. Zaborovsky, Feng Xie, Yanwen Wu, Ting-Ting Lu:
Research on the pixel-based and object-oriented methods of urban feature extraction with GF-2 remote-sensing images. - Flavio Ferrarotti, Senén González, José Maria Turull Torres, Jan Van den Bussche, Jonni Virtema:
Descriptive Complexity of Deterministic Polylogarithmic Time. - Jinyu Yang, Bo Zhang:
Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines. - Andrea Munari, Federico Clazzer, Gianluigi Liva, Michael Heindlmaier:
Multiple-Relay Slotted ALOHA: Performance Analysis and Bounds. - Ghada Almashaqbeh, Allison Bishop, Justin Cappos:
ABC: A Cryptocurrency-Focused Threat Modeling Framework. - Michael Heller:
Homunculus' Brain and Categorical Logic. - Thilo Hagendorff:
The Ethics of AI Ethics - An Evaluation of Guidelines. - Davide Fucci, Daniela Girardi, Nicole Novielli, Luigi Quaranta, Filippo Lanubile:
A Replication Study on Code Comprehension and Expertise using Lightweight Biometric Sensors. - Cristina Dalfó, Miquel A. Fiol:
El mètode de les línies per a la resolució numèrica d'equacions en derivades parcials. The method of lines for numerical solutions of partial differential equations. - Krzysztof Czarnecki, Rick Salay:
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. - Nanda Kishore Sreenivas, Shrisha Rao:
Egocentric Bias and Doubt in Cognitive Agents. - Nicolas Roulet, Diego Fernández Slezak, Enzo Ferrante:
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets. - Stuart Reeves, Jordan Beck:
Talking about interaction. - Sulaiman Y. Abo Diab:
Geometry Mapping, Complete Pascal Scheme versus Standard Bilinear Approach. - Liuhui Zhao, Andreas A. Malikopoulos, Jackeline Rios-Torres:
On the Traffic Impacts of Optimally Controlled Connected and Automated Vehicles. - Panagiotis Meletis, Gijs Dubbelman:
On Boosting Semantic Street Scene Segmentation with Weak Supervision. - Amit Moryossef, Roee Aharoni, Yoav Goldberg:
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection. - Hung Nguyen-Xuan, Hien V. Do, Khanh N. Chau:
An adaptive strategy based on conforming quadtree meshes for kinematic limit analysis. - Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng:
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning. - Deeraj Nagothu, Jacob Schwell, Yu Chen, Erik Blasch, Sencun Zhu:
A Study on Smart Online Frame Forging Attacks against Video Surveillance System. - Vedant Singh, Manan Oza, Himanshu Vaghela, Pratik Kanani:
Auto-Encoding Progressive Generative Adversarial Networks For 3D Multi Object Scenes. - André Rijo, Carla Ferreira, Nuno M. Preguiça:
Set CRDT com Múltiplas Políticas de Resolução de Conflitos. - Eran Malach, Shai Shalev-Shwartz:
Is Deeper Better only when Shallow is Good? - Shalin Shah
Genetic Algorithm for a class of Knapsack Problems. - Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid:
Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning. - Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool:
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks. - Aurojit Panda:
Certifying Safety when Implementing Consensus. - Adrian V. Dalca, John V. Guttag, Mert R. Sabuncu:
Unsupervised Data Imputation via Variational Inference of Deep Subspaces. - Oscar H. Ibarra, Ian McQuillan, Bala Ravikumar:
On counting functions and slenderness of languages. - David Castells-Rufas, Jordi Carrabina:
OpenCL-based FPGA accelerator for disparity map generation with stereoscopic event cameras. - Zhenfeng Cao:
Realizing Continual Learning through Modeling a Learning System as a Fiber Bundle. - Hrishikesh Ganu, Mithun Ghosh, Shashi Roshan:
AgentBuddy: A Contextual Bandit based Decision Support System for Customer Support Agents. - Selmer Bringsjord, Naveen Sundar Govindarajulu:
Learning Ex Nihilo. - Ehsan Zandi, Rudolf Mathar:
Localizing an Unknown Number of mmW Transmitters Under Path Loss Model Uncertainties. - Joey Eremondi, Oscar H. Ibarra, Ian McQuillan:
Insertion Operations on Deterministic Reversal-Bounded Counter Machines. - Ksenia Bittner, Marco Körner, Peter Reinartz:
DSM Building Shape Refinement from Combined Remote Sensing Images based on Wnet-cGANs. - Vladimir Braverman, Moses Charikar, William Kuszmaul, David P. Woodruff, Lin F. Yang:
The One-Way Communication Complexity of Dynamic Time Warping Distance. - Furqan Jameel, Shurjeel Wyne:
Secrecy Outage of SWIPT in the Presence of Cooperating Eavesdroppers. - José G. M. Esgario, Iago E. da Silva, Renato A. Krohling:
Application of Genetic Algorithms to the Multiple Team Formation Problem. - Zhengyuan Liu, Jia Hui Hazel Lim, Nur Farah Ain Binte Sahimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee Shao Guang, Michael Ross Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen:
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. - Josu Sangroniz, Luis Martínez:
The GC-content of a family of cyclic codes with applications to DNA-codes. - Martin Wistuba, Tejaswini Pedapati:
Inductive Transfer for Neural Architecture Optimization. - Adrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu:
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces. - Mira Rizkallah, Thomas Maugey, Christine Guillemot:
Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression. - Mira Rizkallah, Xin Su, Thomas Maugey, Christine Guillemot:
Geometry-Aware Graph Transforms for Light Field Compact Representation. - Mohamed El Yafrani:
A study of problems with multiple interdependent components - Part I. - Jesus Tordesillas, Brett Thomas Lopez, Jonathan P. How:
FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments. - Erik D. Demaine, John Iacono, Grigorios Koumoutsos, Stefan Langerman:
Belga B-trees. - Suelen Gasparin, Julien Berger
An innovative method to determine optimum insulation thickness based on non-uniform adaptive moving grid. - Justin Lin, Roberto Calandra, Sergey Levine:
Learning to Identify Object Instances by Touch: Tactile Recognition via Multimodal Matching. - Guillaume Escamocher, Barry O'Sullivan, Steven David Prestwich:
Generating Difficult SAT Instances by Preventing Triangles. - Asif Ali Khan, Fazal Hameed, Robin Bläsing, Stuart S. P. Parkin, Jerónimo Castrillón:
ShiftsReduce: Minimizing Shifts in Racetrack Memory 4.0. - Yang Zhang, Mingming Lu:
Based on Graph-VAE Model to Predict Student's Score. - Yang Wen, Jicheng Cao, Shengyu Cheng:
PTracer A Linux Kernel Patch Trace Bot. - Jiawei Zhang:
Gradient Descent based Optimization Algorithms for Deep Learning Models Training. - Eleni C. Akrida, George B. Mertzios, Sotiris E. Nikoletseas, Christoforos L. Raptopoulos, Paul G. Spirakis, Viktor Zamaraev
How fast can we reach a target vertex in stochastic temporal graphs? - Roberto Carrasco, Raimundo Vega, Cristóbal A. Navarro:
Analyzing GPU Tensor Core Potential for Fast Reductions. - Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. - Alexios Voulimeneas, Dokyung Song, Fabian Parzefall, Yeoul Na, Per Larsen, Michael Franz, Stijn Volckaert:
DMON: A Distributed Heterogeneous N-Variant System. - Ramin Ayanzadeh, Milton Halem, Tim Finin:
SAT-based Compressive Sensing. - Payam Nikdel, Richard Vaughan:
Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps. - Brendan Fong, Michael Johnson:
Lenses and Learners. - Ruiyang Xu, Karl J. Lieberherr:
Learning Self-Game-Play Agents for Combinatorial Optimization Problems. - Lei Zhang, Sean Howard, Tom Montpool, Jessica Moore, Krittika Mahajan, Andriy V. Miranskyy:
RESTORE: Automated Regression Testing for Datasets. - Apostolos Syropoulos:
Fuzzy Bigraphs: An Exercise in Fuzzy Communicating Agents. - Serge Abiteboul, Julia Stoyanovich:
Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation. - Zakaria El Mrabet, Youness Arjoune, Hassan El Ghazi, Badr Abou Al Majd, Naima Kaabouch:
Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter. - Ayush Jaiswal, Shuai Xia, Iacopo Masi, Wael AbdAlmageed:
RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance. - Guang Yang, Calin Belta, Roberto Tron:
Self-triggered Control for Safety Critical Systems using Control Barrier Functions. - Sariel Har-Peled, Mitchell Jones, Saladi Rahul:
Active Learning a Convex Body in Low Dimensions. - Weiran Wang:
Everything old is new again: A multi-view learning approach to learning using privileged information and distillation. - Ashwini Tonge, Cornelia Caragea:
Image Privacy Prediction Using Deep Neural Networks. - Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine:
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. - Alexander Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox:
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. - Marco Cavallo, Mishal Dholakia, Matous Havlena, Kenneth Ocheltree, Mark Podlaseck:
Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis. - Viacheslav Dubeyko:
Processor in Non-Volatile Memory (PiNVSM): Towards to Data-centric Computing in Decentralized Environment. - Urvashi Oswal, Aniruddha Bhargava, Robert D. Nowak:
Linear Bandits with Feature Feedback. - Toshiki Matsumine, Toshiaki Koike-Akino
Polar Coding with Chemical Reaction Networks. - Qiuhua Huang, Weituo Hao, Jie Tan, Rui Fan, Zhenyu Huang:
Adaptive Power System Emergency Control using Deep Reinforcement Learning. - Toshiki Matsumine, Toshiaki Koike-Akino
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks. - Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren:
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. - Alexios Balatsoukas-Stimming, Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Christoph Studer:
Neural-Network Optimized 1-bit Precoding for Massive MU-MIMO. - Kiraku Minami:
Trace Equivalence and Epistemic Logic to Express Security Properties. - Weiqiong Wang, Yan Wang:
The parameters of a family of linear codes. - Jingzhou Sun, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu:
Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy. - Sandesh Adhikary, Siddarth Srinivasan, Byron Boots:
Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold. - Hirak Jyoti Kashyap, Charless C. Fowlkes, Jeffrey L. Krichmar:
Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes. - Lake Bu, Rashmi S. Agrawal, Hai Cheng, Michel A. Kinsy:
A Lightweight McEliece Cryptosystem Co-processor Design. - Lake Bu, Rashmi S. Agrawal, Hai Cheng, Michel A. Kinsy:
Post-Quantum Cryptographic Hardware Primitives. - Panwen Hu, Zizheng Yan, Rui Huang, Feng Yin:
How Effectively Can Indoor Wireless Positioning Relieve Visual Tracking Pains: A Camera-Rao Bound Viewpoint. - Yuting Fang, Weisi Guo, Matteo Icardi, Adam Noel, Nan Yang:
Molecular Information Delivery in Porous Media. - Dimitris Kalimeris, Gal Kaplun, Yaron Singer:
Robust Influence Maximization for Hyperparametric Models. - Shivkumar K. Manickam:
Probability Mass Functions for which Sources have the Maximum Minimum Expected Length. - Ying Tang:
Two-Hop Walks Indicate PageRank Order. - Yifei Shi, Angel Xuan Chang, Zhelun Wu, Manolis Savva, Kai Xu:
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction. - Zheqi Zhu, Pingyi Fan:
Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers. - Kai-Hsiang Hsu, Yu-Hsi Chiang, Hsu-Chun Hsiao:
SAFECHAIN: Securing Trigger-Action Programming from Attack Chains (Extended Technical Report). - Petr Lukás, Radim Baca, Michal Krátký:
RadegastXDB - Prototype of Native XML Database Management System: Technical Report. - Jianping Cao, Senzhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Fei-Yue Wang:
Mutual Clustering on Comparative Texts via Heterogeneous Information Networks. - Pan Li, Baihong Jin, Ruoxuan Xiong, Dai Wang, Alberto L. Sangiovanni-Vincentelli, Baosen Zhang:
A tractable ellipsoidal approximation for voltage regulation problems. - Shangsheng Xie, Mingming Lu:
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Methods. - Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin:
Logic Rules Powered Knowledge Graph Embedding. - S. Akshay, Paul Gastin, Vincent Jugé, Shankara Narayanan Krishna:
Timed Systems through the Lens of Logic. - Meriem Manai:
A New Approach for Topic Detection using Adaptive Neural Networks. - Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng:
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search. - George Liberopoulos:
Performance evaluation of a production line operated under an echelon buffer policy. - Stylianos Ploumpis, Haoyang Wang, Nick E. Pears, William A. P. Smith, Stefanos Zafeiriou:
Combining 3D Morphable Models: A Large scale Face-and-Head Model. - Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar:
Strengthened Information-theoretic Bounds on the Generalization Error. - Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. - Bao Trung Chu, Kenji Hashimoto, Hiroyuki Seki:
Quantifying Dynamic Leakage: Complexity Analysis and Model Counting-based Calculation. - Mingming Lu, Dingwu Tan, Naixue Xiong, Zailiang Chen, Haifeng Li:
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service. - Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar:
Successive Over Relaxation Q-Learning. - Chengwen Xing, Xin Zhao, Shuai Wang, Wei Xu, Soon Xin Ng, Sheng Chen:
Hybrid Transceiver Optimization for Multi-Hop Communications. - Tim Seyde, Jan Carius, Ruben Grandia, Farbod Farshidian, Marco Hutter:
Locomotion Planning through a Hybrid Bayesian Trajectory Optimization. - Marta Dueñas Díez
Native Chemical Automata and the Thermodynamic Interpretation of Their Experimental Accept/Reject Responses. - Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis. - Jeremy D. Castagno, Yu Yao, Ella M. Atkins:
Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation. - Ioanna Mitsioni, Yiannis Karayiannidis, Johannes A. Stork, Danica Kragic:
Data-Driven Model Predictive Control for Food-Cutting. - Laura Fink, Sing Chun Lee, Marc Stamminger, Nassir Navab, Mathias Unberath:
LumiPath - Towards Real-time Physically-based Rendering on Embedded Devices. - Ali Harakeh, Michael Smart, Steven L. Waslander:
BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors. - Ziya Firat, Eliseo Ferrante, Yannick Gillet
On self-organised aggregation dynamics in swarms of robots with informed robots. - Dirk Lewandowski:
The Web is missing an essential part of infrastructure: an Open Web Index. - Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi:
Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. - Dmitry Namiot, Oleg Pokusaev, Vasily Kupriyanovsky:
Analysis of the use of smart cards on the urban railway. - Belma Turkovic, Fernando A. Kuipers, Steve Uhlig:
Fifty Shades of Congestion Control: A Performance and Interactions Evaluation. - Esteban Ricalde:
A Genetic Programming System with an Epigenetic Mechanism for Traffic Signal Control. - Junlin Zhao, Mohammad Mohammadi Amiri, Deniz Gündüz:
A Low-Complexity Cache-Aided Multi-antenna Content Delivery Scheme. - Guang Yang, Roberto Tron, Calin Belta:
Continuous-time Signal Temporal Logic Planning with Control Barrier Function. - Hila Gonen, Yoav Goldberg:
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them. - Smitha Milli, Anca D. Dragan:
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. - Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. - Abubakr O. Al-Abbasi, Arnob Ghosh, Vaneet Aggarwal:
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning. - Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu:
Fast Single Image Reflection Suppression via Convex Optimization. - Babak Hosseini, Felix Hülsmann, Mario Botsch, Barbara Hammer
Non-Negative Kernel Sparse Coding for the Classification of Motion Data. - Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. - Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. - (Withdrawn) Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation (POINT^2).
- Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart:
Fair Logistic Regression: An Adversarial Perspective. - Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu:
Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes. - Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie:
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. - Pooyan Jamshidi, Javier Cámara, Bradley R. Schmerl, Christian Kästner, David Garlan:
Machine Learning Meets Quantitative Planning: Enabling Self-Adaptation in Autonomous Robots. - Wayes Tushar, Tapan Kumar Saha, Chau Yuen, Thomas Morstyn, Malcolm D. McCulloch, H. Vincent Poor, Kristin L. Wood:
A Motivational Game-Theoretic Approach for Peer-to-Peer Energy Trading in the Smart Grid. - Satyananda Kashyap, Honghai Zhang, Karan Rao, Milan Sonka:
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative. - Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka:
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. - Sergey Alyaev, Erich Suter, Reidar Bratvold, Aojie Hong, Xiaodong Luo:
A Decision Support System for Multi-target Geosteering. - Cong Xie, Sanmi Koyejo, Indranil Gupta:
Asynchronous Federated Optimization. - Cong Xie, Sanmi Koyejo, Indranil Gupta:
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation. - Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee:
DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow. - Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Rolling-Shutter-Aware Differential SfM and Image Rectification. - Nikhil R. Devanur, Kamal Jain, Balasubramanian Sivan, Christopher A. Wilkens:
Near Optimal Online Algorithms and Fast Approximation Algorithms for Resource Allocation Problems. - Gerardo Flores, Alejandro Flores, Andrés Montes de Oca:
A full controller for a fixed-wing UAV. - Luis Arreola, Gesem Gudiño, Gerardo Flores:
Object recognition and tracking using Haar-like Features Cascade Classifiers: Application to a quad-rotor UAV. - Edward Balaban, Stephen B. Johnson, Mykel J. Kochenderfer:
Rethinking System Health Management. - Christos Thrampoulidis, Ilias Zadik, Yury Polyanskiy:
A simple bound on the BER of the MAP decoder for massive MIMO systems. - Xinyi Ren, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Abhishek Gupta, Aviv Tamar, Pieter Abbeel:
Domain Randomization for Active Pose Estimation. - Chunpeng Ge, Siwei Sun, Pawel Szalachowski:
Permissionless Blockchains and Secure Logging. - Qianqian Xu, Zhiyong Yang
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. - Yanmei Jiao, Yue Wang, Bo Fu, Xiaqing Ding, Qimeng Tan, Lei Chen, Rong Xiong:
2-Entity RANSAC for robust visual localization in changing environment. - Xiaqing Ding, Yue Wang, Li Tang, Huan Yin, Rong Xiong:
Communication constrained cloud-based long-term visual localization in real time. - Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Deep Griffin-Lim Iteration. - Moojan Ghafurian, Neil Budnarain, Jesse Hoey:
Improving Humanness of Virtual Agents and Users' Cooperation through Emotions. - Philip John Gorinski, Honghan Wu
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. - Onur Mutlu, Saugata Ghose, Juan Gómez-Luna, Rachata Ausavarungnirun:
Processing Data Where It Makes Sense: Enabling In-Memory Computation. - Amol Wakankar, Paritosh K. Pandya, Raj Mohan Matteplackel:
DCSYNTH: A Tool for Guided Reactive Synthesis with Soft Requirements. - Massimiliano de Leoni:
From Low-Level Events to Activities - A Session-Based Approach (Extended Version). - Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow:
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. - Yiming Li, Jiawang Bai, Qingtao Tang, Yong Jiang, Chun Li, Shutao Xia:
Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness. - David G. Kirkpatrick, Hans Ulrich Simon, Sandra Zilles:
Optimal Collusion-Free Teaching. - Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao:
NormalNet: Learning based Guided Normal Filtering for Mesh Denoising. - Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui:
Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image. - Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li:
Group-wise Correlation Stereo Network. - Satyananda Kashyap, Honghai Zhang, Milan Sonka:
Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative. - Florent Capelli:
Knowledge compilation languages as proof systems. - Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck:
Algorithms for an Efficient Tensor Biclustering. - Michael Xuelin Huang, Andreas Bulling:
SacCalib: Reducing Calibration Distortion for Stationary Eye Trackers Using Saccadic Eye Movements. - Plácido A. Souza Neto, Francisco B. Silva Júnior, Felipe M. Freire Pontes, Behrooz Omidvar-Tehrani:
Exploration of Interesting Dense Regions in Spatial Data. - Man Luo, Hongkai Wen, Yi Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu:
Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach. - Aleksi Hämäläinen, Karol Arndt, Ali Ghadirzadeh, Ville Kyrki:
Affordance Learning for End-to-End Visuomotor Robot Control. - Samuel Zbarsky:
Asymptotically faster algorithm for counting self-avoiding walks and self-avoiding polygons. - Efstathia Chioteli, Ioannis Batas, Diomidis Spinellis:
Does Unit-Tested Code Crash? A Case Study of Eclipse. - Eric Kightley, Stephen Becker:
One-Pass Sparsified Gaussian Mixtures. - Toomas Hinnosaar:
Stackelberg Independence. - Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht:
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. - Bowen Yi, Romeo Ortega, Dongjun Wu, Weidong Zhang:
Orbital Stabilization of Nonlinear Systems via Mexican Sombrero Energy Shaping and Pumping-and-Damping Injection. - Viacheslav Dubeyko, Om Rameshwar Gatla, Mai Zheng:
Nature of System Calls in CPU-centric Computing Paradigm. - Sandra Johnson, Peter Robinson, John Brainard:
Sidechains and interoperability. - John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George O. Mohler:
Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction. - Yang Zheng, Izzat H. Izzat, John H. L. Hansen:
Exploring OpenStreetMap Availability for Driving Environment Understanding. - Tej Singh, Dinesh Kumar Vishwakarma:
A Hybrid Framework for Action Recognition in Low-Quality Video Sequences. - Osman Tursun, Rui Zeng, Simon Denman, Sabesan Sivipalan, Sridha Sridharan, Clinton Fookes:
MTRNet: A Generic Scene Text Eraser. - Luca Furieri, Yang Zheng, Antonis Papachristodoulou, Maryam Kamgarpour:
On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers. - Zhonghua Han, Jingyuan Zhang, Xiaoting Dong, Yuanwei Qi:
Bus Manufacturing Workshop Scheduling Method with Routing Buffer. - Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. - Meir Friedenberg, Joseph Y. Halpern:
Blameworthiness in Multi-Agent Settings. - Yixin Li, Shengqin Tang, Yun Ye, Jinwen Ma:
Spatial-Aware Non-Local Attention for Fashion Landmark Detection. - Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. - Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri:
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs. - Tal Shinkar, Eitan Yaakobi, Andreas Lenz, Antonia Wachter-Zeh:
Clustering-Correcting Codes. - Ziv Epstein, Micah Epstein, Christian Almenar, Matthew Groh, Niccolo Pescetelli, Esteban Moro, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
Towards a new social laboratory: An experimental study of search through community participation at Burning Man. - Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine:
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. - Seyed Arvin Ayoughi, Wei Yu, Saeed R. Khosravirad, Harish Viswanathan:
Interference Mitigation for Ultrareliable Low-Latency Wireless Communication. - Mohammad M. Jalalzai, Costas Busch, Golden G. Richard III:
Proteus: A Scalable BFT Consesus Protocol for Blockchains. - Sandip Roy, Mengran Xue:
Sign Patterns of Inverse Doubly-Nonnegative Matrices. - Ziga Emersic, S. V. Aruna Kumar, B. S. Harish, Weronika Gutfeter
The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix. - Shima Kamyab, Rasool Sabzi, Zohreh Azimifar:
Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering. - Amr Adel Helmy, Yasser M. K. Omar, Rania Hodhod:
An Innovative Word Encoding Method For Text Classification Using Convolutional Neural Network. - Qiushan Guo, Yuan Dong, Yu Guo, Hongliang Bai:
MSFD: Multi-Scale Receptive Field Face Detector. - Hao Liu, Yunze Li, Qinyu Cao, Guang Qiu, Jiming Chen:
Estimating Individual Advertising Effect in E-Commerce. - Wei Jiang, Yu Zhang, Zhenghua Li, Min Zhang:
HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. - Ke Sun, Piotr Koniusz, Zhen Wang:
Fisher-Bures Adversary Graph Convolutional Networks. - Michael Winikoff:
Towards Deriving Verification Properties. - Wenjing Yan, Xiaojun Yuan:
Semi-Blind Channel-and-Signal Estimation for Uplink Massive MIMO With Channel Sparsity. - Alexandr Naumchev:
Object-oriented requirements: reusable, understandable, verifiable. - Ofir Press:
Partially Shuffling the Training Data to Improve Language Models. - Valdemar Svábenský, Jan Vykopal:
Gathering Insights from Teenagers' Hacking Experience with Authentic Cybersecurity Tools. - Patrick Schlosser, David Münch, Michael Arens:
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals. - Fabien Gandon
Graph Data on the Web: extend the pivot, don't reinvent the wheel. - Zdenek Vasícek, Vojtech Mrazek, Lukás Sekanina:
Automated Circuit Approximation Method Driven by Data Distribution. - Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu:
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. - Xinyu Peng, Li Li, Fei-Yue Wang:
Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling. - Denis Steckelmacher
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. - Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang:
Structured Knowledge Distillation for Semantic Segmentation. - Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci:
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. - Christian Göttel, Rafael Pires, Isabelly Rocha, Sébastien Vaucher, Pascal Felber, Marcelo Pasin, Valerio Schiavoni:
Security, Performance and Energy Trade-offs of Hardware-assisted Memory Protection Mechanisms. - Vitalik Buterin, Daniël Reijsbergen, Stefanos Leonardos, Georgios Piliouras:
Incentives in Ethereum's Hybrid Casper Protocol. - Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. - Stefanos Leonardos, Daniël Reijsbergen, Georgios Piliouras:
Weighted Voting on the Blockchain: Improving Consensus in Proof of Stake Protocols. - Matthieu Rosenfeld:
How far away must forced letters be so that squares are still avoidable? - Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai:
Pluralistic Image Completion. - Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim:
Instance- and Category-level 6D Object Pose Estimation. - Anees Kazi, Shayan Shekarforoush, S. Arvind Krishna, Hendrik Burwinkel, Gerome Vivar, Karsten U. Kortuem, Seyed-Ahmad Ahmadi, Shadi Albarqouni, Nassir Navab:
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction. - Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu:
Similarity Learning via Kernel Preserving Embedding. - Lin Gao, Giorgio Battistelli, Luigi Chisci:
Multiobject fusion with minimum information loss. - Lars J. Svensson, Monimoy Bujarbaruah, Nitin R. Kapania, Martin Törngren:
Adaptive Trajectory Planning and Optimization at Limits of Handling. - Ashish Agarwal, Igor Ganichev:
Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching And Beyond. - Bastien Moysset, Ronaldo O. Messina:
Manifold Mixup improves text recognition with CTC loss. - Jonas Engels, Bert Claessens, Geert Deconinck:
Techno-Economic Analysis and Optimal Control of Battery Storage for Frequency Control Services, Applied to the German Market. - Georges Younes, Daniel C. Asmar, John S. Zelek:
A Unified Formulation for Visual Odometry. - Abhinandan Krishnan, Abilash Amarthaluri:
Large Scale Product Categorization using Structured and Unstructured Attributes. - Koussaila Hamiche, Michel Fliess, Cédric Join, Hassane Abouaïssa:
Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories. - Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai:
On Application of Learning to Rank for E-Commerce Search. - Matthias Feldotto, Pascal Lenzner, Louise Molitor, Alexander Skopalik:
From Hotelling to Load Balancing: Approximation and the Principle of Minimum Differentiation. - SeoungMo An, Taehoon Eom, Jong Sou Park, Jin B. Hong, Armstrong Nhlabatsi, Noora Fetais, Khaled M. Khan, Dong Seong Kim:
CloudSafe: A Tool for an Automated Security Analysis for Cloud Computing. - Helge Reelfs, Timon Mohaupt, Oliver Hohlfeld, Niklas Henckell:
Hashtag Usage in a Geographically-Local Microblogging App. - Leonidas Akritidis, Athanasios Fevgas, Panayiotis Bozanis, Christos Makris:
A Clustering-Based Combinatorial Approach to Unsupervised Matching of Product Titles. - Hsu-Chieh Hu, Stephen F. Smith:
Coping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control. - Jonas Engels, Bert Claessens, Geert Deconinck:
Grid-Constrained Distributed Optimization for Frequency Control with Low-Voltage Flexibility. - Yaxing Wang, Luis Herranz
Mix and match networks: multi-domain alignment for unpaired image-to-image translation. - Dejan Brkic, Pavel Praks:
An efficient iterative method for looped pipe network hydraulics. - Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber:
Reachability and Coverage Planning for Connected Agents: Extended Version. - Kun Wang, WaiChing Sun, Qiang Du:
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation. - Clément Romac, Vincent Béraud:
Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft. - Emanuele Valea, Mathieu Da Silva, Giorgio Di Natale, Marie-Lise Flottes, Sophie Dupuis, Bruno Rouzeyre:
SECCS: SECure Context Saving for IoT Devices. - Thiago Gouveia da Silva, Gilberto Farias de Sousa Filho, Luiz Satoru Ochi, Philippe Michelon, Serigne Gueye, Lucídio A. F. Cabral:
Solving the minimum labeling global cut problem by mathematical programming. - Ronnie Pavlov, Pascal Vanier
The relationship between word complexity and computational complexity in subshifts. - Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci:
Adaptive Fault Detection exploiting Redundancy with Uncertainties in Space and Time. - Lukasz Czekaj, Wojciech Ziembla, Pawel Jezierski, Pawel Swiniarski, Anna Kolodziejak, Pawel Ogniewski, Pawel Niedbalski, Anna Jezierska, Daniel Wesierski:
Labeler-hot Detection of EEG Epileptic Transients. - Péter Várnai, Dimos V. Dimarogonas:
Prescribed Performance Control Guided Policy Improvement for Satisfying Signal Temporal Logic Tasks. - Johannes C. Thiele, Olivier Bichler, Antoine Dupret, Sergio M. G. Solinas, Giacomo Indiveri:
A Spiking Network for Inference of Relations Trained with Neuromorphic Backpropagation. - Francesco Belardinelli, Catalin Dima
Model Checking ATL* on vCGS. - Vladimir Braverman, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu:
Coresets for Ordered Weighted Clustering. - Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki:
Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases. - Dawood Al Chanti
ADS-ME: Anomaly Detection System for Micro-expression Spotting. - Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs, Diego Klabjan:
Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data. - Carlos Zednik:
Solving the Black Box Problem: A General-Purpose Recipe for Explainable Artificial Intelligence. - Andersen Man Shun Ang, Nicolas Gillis:
Algorithms and Comparisons of Non-negative Matrix Factorization with Volume Regularization for Hyperspectral Unmixing. - Steven Wei Der Chien, Stefano Markidis, Vyacheslav Olshevsky, Yaroslav Bulatov, Erwin Laure, Jeffrey S. Vetter:
TensorFlow Doing HPC. - Petar Radanliev
A reference architecture for integrating the Industrial Internet of Things in the Industry 4.0. - Bahareh Pourbabaee, Matthew Howe-Patterson, Matthew R. Patterson, Frédéric Bénard:
SleepNet: Automated Sleep Disorder Detection via Dense Convolutional Neural Network. - Abdullah Rasool, Greg Alpár, Joeri de Ruiter:
State machine inference of QUIC. - Utsav Banerjee, Chiraag Juvekar, Andrew Wright, Arvind, Anantha P. Chandrakasan:
An Energy-Efficient Reconfigurable DTLS Cryptographic Engine for End-to-End Security in IoT Applications. - Daniel C. Elton, Zois Boukouvalas, Mark D. Fuge, Peter W. Chung:
Deep learning for molecular generation and optimization - a review of the state of the art. - Jan Komenda, Feng Lin, Jan H. van Schuppen:
A Uniform Approach to Maximal Permissiveness in Modular Control of Discrete-Event Systems. - Soulaimane Berkane, Andrea Bisoffi, Dimos V. Dimarogonas:
A Hybrid Controller for Obstacle Avoidance in an n-dimensional Euclidean Space. - Gennadi I. Malaschonok, Evgeni Ilchenko:
Recursive Matrix Algorithms in Commutative Domain for Cluster with Distributed Memory. - Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
A GraphBLAS Approach for Subgraph Counting. - Marco Giordani, Andrea Zanella, Michele Zorzi:
LTE and Millimeter Waves for V2I Communications: an End-to-End Performance Comparison. - Pravendra Singh, Pratik Mazumder, Vinay P. Namboodiri:
Accuracy Booster: Performance Boosting using Feature Map Re-calibration. - Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli:
Robot kinematic structure classification from time series of visual data. - Zhewei Huang, Wen Heng, Shuchang Zhou:
Learning to Paint with Model-based Deep Reinforcement Learning. - Leni K. Le Goff, Oussama Yaakoubi, Alexandre Coninx, Stéphane Doncieux:
Building an Affordances Map with Interactive Perception. - Mike Thelwall
The rhetorical structure of science? A multidisciplinary analysis of article headings. - Petar Radanliev
Standardisation of cyber risk impact assessment for the Internet of Things (IoT). - Xuan-Son Vu, Thanh Vu, Son N. Tran, Lili Jiang:
ETNLP: A Toolkit for Extraction, Evaluation and Visualization of Pre-trained Word Embeddings. - Patrick O'Driscoll, Jaehoon Lee, Bo Fu:
Physics Enhanced Artificial Intelligence. - Judith W. Fan, Robert X. D. Hawkins, Mike Wu, Noah D. Goodman:
Pragmatic inference and visual abstraction enable contextual flexibility during visual communication. - Jonathan Donier:
Scaling up deep neural networks: a capacity allocation perspective. - Farzin Salek, Min-Hsiu Hsieh, Javier R. Fonollosa:
Publicness, Privacy and Confidentiality in the Single-Serving Quantum Broadcast Channel. - Zhaojian Li, Firas A. Khasawneh, Xiang Yin, Aoxue Li, Ziyou Song:
A New Microscopic Traffic Model Using a Spring-Mass-Damper-Clutch System. - Nikola Banic, Karlo Koscevic, Marko Subasic, Sven Loncaric:
The Past and the Present of the Color Checker Dataset Misuse. - Siavash Golkar, Michael Kagan, Kyunghyun Cho:
Continual Learning via Neural Pruning. - Stéphane Chrétien, Benjamin Guedj:
Revisiting clustering as matrix factorisation on the Stiefel manifold. - Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang:
Video Generation from Single Semantic Label Map. - Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai:
The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection. - Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora:
Communication-efficient distributed SGD with Sketching. - Wei Peng, Baogui Xin:
SPMF: A Social Trust and Preference Segmentation-based Matrix Factorization Recommendation Algorithm. - Günter Rote:
Minimal Dominating Sets in a Tree: Counting, Enumeration, and Extremal Results. - Marco Damonte, Rahul Goel, Tagyoung Chung:
Practical Semantic Parsing for Spoken Language Understanding. - Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li:
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control. - Bernardo A. Huberman, Bob Lund:
A Quantum Router for the Entangled Web. - Desislav Andreev, Simona Petrakieva, Ina Taralova:
A Novel Approach for Protection of Accounts' Names against Hackers Combining Cluster Analysis and Chaotic Theory. - Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Training Data Generation with Affinity Coding. - Ali Rahmati, Seyyedali Hosseinalipour, Huaiyu Dai:
Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game. - Diego P. P. Mesquita, Paul Blomstedt, Samuel Kaski:
Embarrassingly parallel MCMC using deep invertible transformations. - Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. - Seyed Yahya Nikouei, Ronghua Xu, Yu Chen, Alex Aved, Erik Blasch:
Decentralized Smart Surveillance through Microservices Platform. - Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. - Utsav Banerjee, Abhishek Pathak, Anantha P. Chandrakasan:
An Energy-Efficient Configurable Lattice Cryptography Processor for the Quantum-Secure Internet of Things. - Guy Shtar, Lior Rokach, Bracha Shapira:
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures. - John Z. F. Pang, Weixuan Lin, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman:
Transparency and Control in Platforms for Networked Markets. - Qi Xin, Steven P. Reiss:
Revisiting ssFix for Better Program Repair. - Thomas Hardjono, Alex Pentland:
Verifiable Anonymous Identities and Access Control in Permissioned Blockchains. - Thomas Verelst, Matthew B. Blaschko, Maxim Berman:
Generating superpixels using deep image representations. - Ren Yang, Xiaoyan Sun, Mai Xu, Wenjun Zeng:
Quality-Gated Convolutional LSTM for Enhancing Compressed Video. - Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb:
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. - Omer Berat Sezer, Ahmet Murat Özbayoglu:
Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks. - Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker:
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. - Rakshit Agrawal, Luca de Alfaro:
Learning Edge Properties in Graphs from Path Aggregations. - Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme:
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. - Xiaoshui Huang, Lixin Fan, Qiang Wu, Jian Zhang, Chun Yuan:
Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement. - Sudarshan Lamkhede, Sudeep Das:
Challenges in Search on Streaming Services: Netflix Case Study. - Dimitri A. Schreiber, Daniel B. Shak, Alexander M. Norbash, Michael C. Yip:
An Open-Source 7-Axis, Robotic Platform to Enable Dexterous Procedures within CT Scanners. - Guy E. Blelloch, Jeremy T. Fineman, Yan Gu, Yihan Sun:
Optimal Parallel Algorithms in the Binary-Forking Model. - Naren Srivaths Raman, Karthikeya Devaprasad, Bo Chen, Herbert A. Ingley, Prabir Barooah:
MPC for Energy Efficient HVAC Control with Humidity and Latent Heat Considerations. - Spyridoula Gravani, Mohammad Hedayati, John Criswell, Michael L. Scott
IskiOS: Lightweight Defense Against Kernel-Level Code-Reuse Attacks. - Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath:
Deep Log-Likelihood Ratio Quantization. - Qiuye Wang, Lihong Zhi, Naijun Zhan, Bai Xue, Zhi-Hong Yang:
Synthesizing More Expressive Invariants by Semidefinite Programming. - Daniel Selsam, Nikolaj S. Bjørner:
NeuroCore: Guiding High-Performance SAT Solvers with Unsat-Core Predictions. - Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Generating and Sampling Orbits for Lifted Probabilistic Inference. - Kyle Worley, Md. Tauhidur Rahman
Supervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network. - Enio Kaljic, Almir Maric, Pamela Njemcevic, Mesud Hadzialic:
A Survey on Data Plane Flexibility and Programmability in Software-Defined Networking. - Wei Ma, Xidong Pi, Sean Qian:
Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs. - Lei Zhang:
Transfer Adaptation Learning: A Decade Survey. - Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan:
Knowledge Adaptation for Efficient Semantic Segmentation. - An Liu, Xihan Chen, Wei Yu, Vincent K. N. Lau, Min-Jian Zhao:
Two-Timescale Hybrid Compression and Forward for Massive MIMO Aided C-RAN. - Sadjad Sedighi, Ender Ayanoglu:
Bit-Interleaved Coded Multiple Beamforming in Millimeter-Wave Massive MIMO Systems. - Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson:
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning. - Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong:
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images. - Wei Xiao, Calin Belta:
Control Barrier Functions for Systems with High Relative Degree. - Wei Du, Tao Lei, Qiang He, Wei Liu, Qiwang Lei, Hailiang Zhao, Wei Wang:
Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment. - Wentao Zhu:
Deep Learning for Automated Medical Image Analysis. - Cunjun Yu, Zhongang Cai, Hung Pham, Quang-Cuong Pham:
Siamese Convolutional Neural Network for Sub-millimeter-accurate Camera Pose Estimation and Visual Servoing. - (Withdrawn) Imitation Learning of Factored Multi-agent Reactive Models.
- Sébastien Jean, Kyunghyun Cho:
Context-Aware Learning for Neural Machine Translation. - Scott E. Coull, Christopher Gardner:
Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification. - Manan Oza, Himanshu Vaghela, Kriti Srivastava:
Progressive Generative Adversarial Binary Networks for Music Generation. - Daniel Tabatabai, Mohanad Ajina, Cameron Nowzari:
Self-triggered distributed k-order coverage control. - Huyan Huang, Yipeng Liu, Ce Zhu:
Tensor Grid Decomposition with Application to Tensor Completion. - David Eppstein:
Counting Polygon Triangulations is Hard. - Hsu Myat Mo, Khin Mar Soe:
Syllable-based Neural Named Entity Recognition for Myanmar Language. - Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Patrick Matgen, Marco Chini, Thomas Tamisier:
Extracting localized information from a Twitter corpus for flood prevention. - Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen:
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. - Yuhang Wu, Ioannis A. Kakadiaris:
Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition. - Grand Roman Joldes, George C. Bourantas, Benjamin Zwick, Habibullah Amin Chowdhury, Adam Wittek, Sudip Agrawal, Konstantinos A. Mountris, Damon Hyde, Simon K. Warfield, Karol Miller:
Suite of Meshless Algorithms for Accurate Computation of Soft Tissue Deformation for Surgical Simulation. - Maria Chudnovsky, Marcin Pilipczuk, Michal Pilipczuk, Stéphan Thomassé:
On the Maximum Weight Independent Set Problem in graphs without induced cycles of length at least five. - Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Artificial Intelligence-aided Receiver for A CP-Free OFDM System: Design, Simulation, and Experimental Test. - Keltoum Bendiab, Nicholas Kolokotronis, Stavros Shiaeles, Samia Boucherkha:
A Novel Blockchain-based Trust Model for Cloud Identity Management. - Danny Weyns, Nelly Bencomo, Radu Calinescu
Perpetual Assurances for Self-Adaptive Systems. - Arash Akbarinia, Karl R. Gegenfurtner:
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar. - Patrick Schlachter, Yiwen Liao, Bin Yang:
Open-Set Recognition Using Intra-Class Splitting. - Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. - Konstantinos-Panagiotis Grammatikakis, Angela Ioannou, Stavros Shiaeles, Nicholas Kolokotronis:
Are cracked applications really free? An empirical analysis on Android devices. - Nicholas Kolokotronis, Konstantinos Limniotis, Stavros Shiaeles, Romain Griffiths:
Blockchain Technologies for Enhanced Security and Privacy in the Internet of Things. - Theodosis Mourouzis, Jayant Tandon:
Introduction to Decentralization and Smart Contracts. - Yaoqi Sun, Liang Li, Liang Zheng, Ji Hu, Yatong Jiang, Chenggang Yan:
Image Classification base on PCA of Multi-view Deep Representation. - Parviz Asghari, Elnaz Soleimani, Ehsan Nazerfard:
Online Human Activity Recognition Employing Hierarchical Hidden Markov Models. - Huaxi (Yulin) Zhang, Jacques Malenfant:
Proceedings of the Fifth International Conference on Cloud and Robotics (ICCR2018). - Gianni Bianchini, Daniele Pepe, Antonio Vicino:
Estimation of Photovoltaic Generation Forecasting Models using Limited Information. - Ragesh K. Ramachandran, Zahi M. Kakish, Spring Berman:
Information correlated Lévy walk exploration and distributed mapping using a swarm of robots. - Léo Maczyta, Patrick Bouthemy, Olivier Le Meur:
Unsupervised motion saliency map estimation based on optical flow inpainting. - (Withdrawn) Parallel Medical Imaging: A New Data-Knowledge-Driven Evolutionary Framework for Medical Image Analysis.
- Ragesh K. Ramachandran, James A. Preiss, Gaurav S. Sukhatme:
Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams. - Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon:
Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation. - Marcel Bollmann
Few-Shot and Zero-Shot Learning for Historical Text Normalization. - Indraneil Paul
What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter. - Aashaka Shah, Vinay Banakar, Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram:
Analyzing the Impact of GDPR on Storage Systems. - Felix G. Hamza-Lup, Adrian Seitan, Costin Petre, Mihai Polceanu, Crenguta M. Bogdan, Dorin M. Popovici:
Haptic User Interfaces and Practice-based Learning for Minimally Invasive Surgical Training. - Honghao Wei, Xiaohan Kang, Weina Wang, Lei Ying:
QuickStop: A Markov Optimal Stopping Approach for Quickest Misinformation Detection. - Takahiro Miki, Petr Khrapchenkov, Koichi Hori:
UAV/UGV Autonomous Cooperation: UAV Assists UGV to Climb a Cliff by Attaching a Tether. - Stanislav Levin, Amiram Yehudai:
Towards Software Analytics: Modeling Maintenance Activities. - Fatma-Zahra Benahmed, Kenza Guenda, Aicha Batoul, T. Aaron Gulliver:
Construction of Isodual Quasi-cyclic Codes over Finite Fields. - Miel Sharf, Daniel Zelazo:
A Passivity-Based Network Identification Algorithm with Minimal Time Complexity. - Han Yan, Yingzi He, Chunling Wei:
Observer-Based Drag-Tracking Guidance for Entry Vehicles Considering Input Saturation Constraint. - Minju Jung, Takazumi Matsumoto, Jun Tani:
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory. - Jeffrey De Fauw, Sander Dieleman, Karen Simonyan:
Hierarchical Autoregressive Image Models with Auxiliary Decoders. - Martin Skrodzki
The k-d tree data structure and a proof for neighborhood computation in expected logarithmic time. - Kyle Yee, Ayan Chakrabarti:
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. - Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Probabilistic Temporal Logic over Finite Traces (Technical Report). - Yukun Ding, Yiyu Shi:
Real-Time Boiler Control Optimization with Machine Learning. - Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. - Hanli Qiao:
Discriminative Principal Component Analysis: A REVERSE THINKING. - Zequn Wei, Jin-Kao Hao:
Iterated two-phase local search for the Set-Union Knapsack Problem. - Umutcan Simsek, Elias Kärle, Dieter Fensel:
RocketRML - A NodeJS implementation of a use-case specific RML mapper. - Yujian Li, Chuanhui Shan:
A Capsule-unified Framework of Deep Neural Networks for Graphical Programming. - Breton L. Minnehan, Andreas E. Savakis:
Cascaded Projection: End-to-End Network Compression and Acceleration. - Andrzej Banburski, Qianli Liao, Brando Miranda, Lorenzo Rosasco, Bob Liang, Jack Hidary, Tomaso A. Poggio:
Theory III: Dynamics and Generalization in Deep Networks. - Adam Kurpisz, Timo de Wolff:
New Dependencies of Hierarchies in Polynomial Optimization. - Raul Castro Fernandez, Samuel Madden:
Termite: A System for Tunneling Through Heterogeneous Data. - Hanno Winter
Generating Compact Geometric Track-Maps for Train Positioning Applications. - Huanyu Liu, Chao Peng, Changqian Yu
An End-to-End Network for Panoptic Segmentation. - Yuval Pinter, Marc Marone, Jacob Eisenstein:
Character Eyes: Seeing Language through Character-Level Taggers. - Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. - Benjamin Niedermann, Ignaz Rutter, Matthias Wolf:
Efficient Algorithms for Ortho-Radial Graph Drawing. - Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc:
Dense Classification and Implanting for Few-Shot Learning. - Michael Lingzhi Li, Elliott Wolf, Daniel Wintz:
Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty. - Zheng Chen, Nikolaos Pappas, Emil Björnson, Erik G. Larsson:
Age of Information in a Multiple Access Channel with Heterogeneous Traffic and an Energy Harvesting Node. - Jacob Reinier Maat, Nikos Gianniotis, Pavlos Protopapas:
Efficient Optimization of Echo State Networks for Time Series Datasets. - Yerka Freire, Eduardo Graells-Garrido:
Characterization of Local Attitudes Toward Immigration Using Social Media. - Rose Bohrer, Yong Kiam Tan, Stefan Mitsch, Andrew Sogokon, André Platzer:
A Formal Safety Net for Waypoint Following in Ground Robots. - Julian Theis, Houshang Darabi:
DREAM-NAP: Decay Replay Mining to Predict Next Process Activities. - Kieran Kalair, Colm Connaughton:
Empirical analysis of the variability in the flow-density relationship for smart motorways. - Moez A. AbdelGawad:
Induction, Coinduction, and Fixed Points in PL Type Theory. - Moez A. AbdelGawad:
Induction, Coinduction, and Fixed Points: Intuitions and Tutorial. - Fan Zhou, Guojing Cong:
A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction. - Jiahui Yu, Thomas S. Huang:
Universally Slimmable Networks and Improved Training Techniques. - Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics. - Harish Ravichandar, Kenneth Shaw, Sonia Chernova:
STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots. - Noah J. Apthorpe, Sarah Varghese, Nick Feamster:
Evaluating the Contextual Integrity of Privacy Regulation: Parents' IoT Toy Privacy Norms Versus COPPA. - Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. - Ben Nassi, Asaf Shabtai, Ryusuke Masuoka, Yuval Elovici:
SoK - Security and Privacy in the Age of Drones: Threats, Challenges, Solution Mechanisms, and Scientific Gaps. - Hyung-Jin Yoon, Christopher Widdowson, Thiago Marinho, Ranxiao Frances Wang, Naira Hovakimyan:
A Path Planning Framework for a Flying Robot in Close Proximity of Humans. - Adith Boloor, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models. - Hai D. Huynh, Phuong Tran, Xiaoying Zhuang, Hung Nguyen-Xuan:
An extended polygonal finite element method for large deformation fracture analysis. - Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Lambert Mathias:
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation. - Matthias Nieuwenhuisen, Sven Behnke:
Search-based 3D Planning and Trajectory Optimization for Safe Micro Aerial Vehicle Flight Under Sensor Visibility Constraints. - Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin:
On the Pitfalls of Measuring Emergent Communication. - Joydeep Mitra, Venkatesh-Prasad Ranganath:
BenchPress: Analyzing Android App Vulnerability Benchmark Suites. - Claudio Gallicchio, Alessio Micheli:
Richness of Deep Echo State Network Dynamics. - Liam Li, Evan Randall Sparks, Kevin G. Jamieson, Ameet Talwalkar:
Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning. - Alexander Port, Taelin Karidi, Matilde Marcolli:
Topological Analysis of Syntactic Structures. - Krishna Chaitanya Kosaraju, Yu Kawano, Jacquelien M. A. Scherpen:
Krasovskii's Passivity. - Noushin Mehdipour, Cristian Ioan Vasile, Calin Belta:
Arithmetic-Geometric Mean Robustness for Control from Signal Temporal Logic Specifications. - Karl Mason, Santiago Grijalva:
A Review of Reinforcement Learning for Autonomous Building Energy Management. - Kailash Chandra, Shyamal Suhana Chandra:
Teaching Programming Concepts by Developing Games. - Mimansa Jaiswal, Sairam Tabibu, Erik Cambria:
"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses. - Daan Wout, Jan Scholten, Carlos Celemin, Jens Kober:
Learning Gaussian Policies from Corrective Human Feedback. - Babak Hosseini, Barbara Hammer
Confident Kernel Sparse Coding and Dictionary Learning. - Cornel Turcu, Cristina Elena Turcu:
Improving the quality of healthcare through Internet of Things. - Ikechukwu E. Onyenwe, Ebele G. Onyedinma, Godwin E. Aniegwu, Ignatius Ezeani:
Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo. - Hemant Saxena, Lukasz Golab, Ihab F. Ilyas:
Distributed Dependency Discovery. - Xuhang Ying, Giuseppe Bernieri, Mauro Conti, Radha Poovendran:
TACAN: Transmitter Authentication through Covert Channels in Controller Area Networks. - Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, John Alejandro Castro-Vargas, Sergio Orts-Escolano, José García Rodríguez:
A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments. - Babak Hosseini, Barbara Hammer
Non-Negative Local Sparse Coding for Subspace Clustering. - Jakub Spanhel, Jakub Sochor, Roman Juránek, Petr Dobes, Vojtech Bartl, Adam Herout:
Learning Feature Aggregation in Temporal Domain for Re-Identification. - Nate Veldt, David F. Gleich, Anthony Wirth:
Learning Resolution Parameters for Graph Clustering. - Luke Petersen, Lionel Robert, X. Jessie Yang, Dawn M. Tilbury:
Situational Awareness, Drivers Trust in Automated Driving Systems and Secondary Task Performance. - Behdad Chalaki, Logan Beaver, Ben Remer, Kathy Jang, Eugene Vinitsky, Alexandre M. Bayen, Andreas A. Malikopoulos:
Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning. - Haitao Wang, Jie Xue:
Near-Optimal Algorithms for Shortest Paths in Weighted Unit-Disk Graphs. - David Eppstein:
Cubic Planar Graphs that cannot be Drawn on few Lines. - Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Börner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber L. Simpson, Thomas J. Fuchs:
Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary. - Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow:
Syntax-aware Neural Semantic Role Labeling with Supertags. - Yangyang Shi, Mei-Yuh Hwang, Xin Lei:
End-To-End Speech Recognition Using A High Rank LSTM-CTC Based Model. - Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoML @ NeurIPS 2018 challenge: Design and Results. - Ted Hurley:
MDS codes over finite fields. - John A. Stankovic, Tu Le, Abdeltawab M. Hendawi, Yuan Tian:
Hardware/Software Security Patches for Internet of Trillions of Things. - Junyoung Choi, Minsung Hyun, Nojun Kwak:
Task-oriented Design through Deep Reinforcement Learning. - Liren Yang, Xiaofan Cui, Al-Thaddeus Avestruz, Necmiye Ozay:
Correct-by-construction control synthesis for buck converters with event-triggered state measurement. - Jinghui Cheng, Jin L. C. Guo:
Activity-Based Analysis of Open Source Software Contributors: Roles and Dynamics. - Ryan Ong:
Offensive Language Analysis using Deep Learning Architecture. - Yunhao Tang, Mingzhang Yin, Mingyuan Zhou:
Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy. - Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu:
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification. - (Withdrawn) Learning Symmetric and Asymmetric Steganography via Adversarial Training.
- Masato Ishii, Takashi Takenouchi, Masashi Sugiyama:
Zero-shot Domain Adaptation Based on Attribute Information. - Shangqing Liu, Yanchao Zhao, Fanggang Xue, Bing Chen, Xiang Chen:
DeepCount: Crowd Counting with WiFi via Deep Learning. - Yingzhou Zhang:
SymPas: Symbolic Program Slicing. - Zhe Zeng, Guy Van den Broeck:
Efficient Search-Based Weighted Model Integration. - Emre Sariyildiz, Rahim Mutlu, Haoyong Yu:
A Sliding Mode Force and Position Controller Synthesis for Series Elastic Actuators. - Sivakumar Karunakaran, Lavanya Selvaganesh:
An Unique and Novel Graph Matrix for Efficient Extraction of Structural Information of Networks. - Robi Bhattacharjee, Sanjoy Dasgupta:
What relations are reliably embeddable in Euclidean space? - Zilong Wang, Jinjin Chai, Guang Gong:
The Fourier Spectral Characterization for the Correlation-Immune Functions over Fp. - Jinjin Chai, Zilong Wang, Guang Gong:
New Characterizations for the Multi-output Correlation-Immune Boolean Functions. - Bilal Wehbe, Marc Hildebrandt, Frank Kirchner:
A Framework for On-line Learning of Underwater Vehicles Dynamic Models. - Onur Ayan, Mikhail Vilgelm, Markus Klügel, Sandra Hirche, Wolfgang Kellerer:
Age-of-Information vs. Value-of-Information Scheduling for Cellular Networked Control Systems. - Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation. - Jun Long, Wuqing Sun, Zhan Yang, Osolo Ian Raymond, Bin Li:
Dual Residual Network for Accurate Human Activity Recognition. - Majdi Ghadhab, Sebastian Junges, Joost-Pieter Katoen, Matthias Kuntz, Matthias Volk:
Safety Analysis for Vehicle Guidance Systems with Dynamic Fault Trees. - Vishal Sharma, Ilsun You, Karl Andersson, Francesco Palmieri, Mubashir Husain Rehmani:
Security, Privacy and Trust for Smart Mobile-Internet of Things (M-IoT): A Survey. - Drago Bokal, Zdenek Dvorák, Petr Hlinený, Jesús Leaños, Bojan Mohar, Tilo Wiedera:
Bounded maximum degree conjecture holds precisely for c-crossing-critical graphs with c≤12. - Huiling Hao, Mingtao Pei:
Face Liveness Detection Based on Client Identity Using Siamese Network. - Qianru Zhou, Stephen McLaughlin, Alasdair J. G. Gray, Shangbin Wu, Chengxiang Wang:
Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams. - Saar Tal, Bracha Shapira, Lior Rokach:
Personal Dynamic Cost-Aware Sensing for Latent Context Detection. - (Withdrawn) Efficient Shortest Path Algorithm Using An Unique And Novel Graph Matrix Representation.
- Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky:
Online Budgeted Learning for Classifier Induction. - Martin Brossard, Axel Barrau, Silvère Bonnabel:
Exploiting Symmetries to Design EKFs with Consistency Properties for Navigation and SLAM. - Bestoun S. Ahmed, Amador Pahim, Cleber R. Rosa Junior, D. Richard Kuhn, Miroslav Bures:
Towards an Automated Unified Framework to Run Applications for Combinatorial Interaction Testing. - Ragesh K. Ramachandran, Spring Berman:
Automated Construction of Metric Maps using a Stochastic Robotic Swarm Leveraging Received Signal Strength. - César Soto-Valero, Amine Benelallam, Nicolas Harrand, Olivier Barais, Benoit Baudry:
The Emergence of Software Diversity in Maven Central. - Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Sub-event detection from Twitter streams as a sequence labeling problem. - Nurul Huda Mahmood, Hirley Alves, Onel L. Alcaraz López, Mohammad Shehab, Diana Pamela Moya Osorio, Matti Latva-aho:
Six Key Enablers for Machine Type Communication in 6G. - Saif Muhammad Imran, Yunfei Long, Xiaoming Liu, Daniel Morris:
Depth Coefficients for Depth Completion. - Mithilesh Kumar:
2-CLUB is NP-hard for distance to 2-club cluster graphs. - Kleanthis Malialis, Sam Devlin, Daniel Kudenko:
Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems. - Rainer Niedermayr, Stefan Wagner:
Is the Stack Distance Between Test Case and Method Correlated With Test Effectiveness? - Daqi Liu, Miroslaw Bober, Josef Kittler:
Visual Semantic Information Pursuit: A Survey. - Emil Mededovic, Vaggelis G. Douros, Petri Mähönen:
Node Centrality Metrics for Hotspots Analysis in Telecom Big Data. - Wonwoo Cho, Nam Yul Yu:
Secure and Efficient Compressed Sensing Based Encryption With Sparse Matrices. - Andrius Mudinas, Dell Zhang, Mark Levene:
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward. - Daniel Gabric
Generalized de Bruijn words and the state complexity of conjugate sets. - Hannes Hornischer, Joshua Cherian Varughese, Ronald Thenius, Franz Wotawa, Manfred Füllsack, Thomas Schmickl:
CIMAX: Collective Information Maximization in Robotic Swarms Using Local Communication. - Dominik Borer, Dominik Lutz, Martin Guay:
Animating an Autonomous 3D Talking Avatar. - Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Towards Accurate Camera Geopositioning by Image Matching. - Francesco Restuccia, Tommaso Melodia:
Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop. - Van Linh Nguyen, Po-Ching Lin, Ren-Hung Hwang:
Preventing the attempts of abusing cheap-hosting Web-servers for monetization attacks. - Nikita Bhagatkar, Kapil Dolas, Ratan K. Ghosh:
An Integrated P2P Framework for E-Learning. - Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum:
MMKG: Multi-Modal Knowledge Graphs. - Lili Wang, Ji Liu, A. Stephen Morse, Brian D. O. Anderson:
A Distributed Observer for a Discrete-Time Linear System. - Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth:
Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling. - Linbin Huang, Huanhai Xin, Wei Dong, Florian Dörfler:
Impacts of Grid Structure on PLL-Synchronization Stability of Converter-Integrated Power Systems. - Arno Pauly:
Effective local compactness and the hyperspace of located sets. - Ignacio Cascudo, Jaron Skovsted Gundersen, Diego Ruano:
Squares of Matrix-product Codes. - Oscar Delgado-Mohatar, Julian Fiérrez, Ruben Tolosana, Rubén Vera-Rodríguez:
Blockchain and Biometrics: A First Look into Opportunities and Challenges. - Marcus Klang, Firas Dib, Pierre Nugues:
Overview of the Ugglan Entity Discovery and Linking System. - Frank Schneider, Lukas Balles, Philipp Hennig:
DeepOBS: A Deep Learning Optimizer Benchmark Suite. - Hiroshi Kuwajima, Masayuki Tanaka, Masatoshi Okutomi:
Improving Transparency of Deep Neural Inference Process. - Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou:
Hardness-Aware Deep Metric Learning. - Karel Horák, Branislav Bosanský, Christopher Kiekintveld, Charles A. Kamhoua:
Compact Representation of Value Function in Partially Observable Stochastic Games. - Claudio Zito, Valerio Ortenzi, Maxime Adjigble, Marek Sewer Kopicki, Rustam Stolkin, Jeremy L. Wyatt:
Hypothesis-based Belief Planning for Dexterous Grasping. - Waseem Abbas, Mudassir Shabbir, Ahmet Yasin Yazicioglu, Aqsa Akber:
On the Trade-off Between Controllability and Robustness in Networks of Diffusively Coupled Agents. - Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo:
Robustness against Agent Failure in Hedonic Games. - Yan Jin, John H. Drake, Una Benlic, Kun He:
Effective reinforcement learning based local search for the maximum k-plex problem. - Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators. - James Thorne, Andreas Vlachos:
Adversarial attacks against Fact Extraction and VERification. - Ruirui Li, Mingming Li, Jiacheng Li:
Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation. - Hangyu Mao, Zhibo Gong, Zhengchao Zhang, Zhen Xiao, Yan Ni:
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing. - Xingkun Liu, Arash Eshghi, Pawel Swietojanski
Benchmarking Natural Language Understanding Services for building Conversational Agents. - Anna Fatkina, Maxim Gonchar
GNA: new framework for statistical data analysis. - Pablo Speciale, Johannes L. Schönberger, Sing Bing Kang, Sudipta N. Sinha, Marc Pollefeys:
Privacy Preserving Image-Based Localization. - David B. Williams-Young, Xiaosong Li:
On the Efficacy and High-Performance Implementation of Quaternion Matrix Multiplication. - Haochen Zhang, Dong Liu, Zhiwei Xiong:
Two-Stream Oriented Video Super-Resolution for Action Recognition. - Jakub Nalepa, Michal Myller, Michal Kawulok:
Hyperspectral Data Augmentation. - Valerio Perrone, Marco Palma
GASC: Genre-Aware Semantic Change for Ancient Greek. - Jide S. Edu, Jose M. Such, Guillermo Suarez-Tangil:
Smart Home Personal Assistants: A Security and Privacy Review. - Clint Sebastian, Bas Boom, Egor Bondarev, Peter H. N. de With:
LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas. - Sameh M. Saad, Terrence D. Perera, Ruwan Wickramarachchi:
Simulation of distributed manufacturing enterprises: A new approach. - Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marqués, Xavier Giró-i-Nieto:
RVOS: End-to-End Recurrent Network for Video Object Segmentation. - Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls:
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. - Sepehr Assadi, Nikolai Karpov, Qin Zhang:
Distributed and Streaming Linear Programming in Low Dimensions. - Nicolas Bousquet, Marc Heinrich:
A polynomial version of Cereceda's conjecture. - Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé:
Tracking without bells and whistles. - Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang:
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis. - Bing Yu, Haoteng Yin, Zhanxing Zhu:
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling. - Jaeseok Kim, Nino Cauli
Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach. - Negin Manshouri, Temel Kayikçioglu:
A Comprehensive Analysis of 2D&3D Video Watching of EEG Signals by Increasing PLSR and SVM Classification Results. - Penghang Yin, Jiancheng Lyu, Shuai Zhang
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. - Laura Dominé, Kazuhiro Terao:
Scalable Deep Convolutional Neural Networks for Sparse, Locally Dense Liquid Argon Time Projection Chamber Data. - Mahdieh Zabihimayvan, Derek Doran:
Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection. - John J. Benedetto, Michael R. Dellomo:
Reactive Sensing and Multiplicative Frame Super-resolution. - Mohammad Sadegh Rasooli, Michael Collins:
Low-Resource Syntactic Transfer with Unsupervised Source Reordering. - Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
Neural Scene Decomposition for Multi-Person Motion Capture. - Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments. - Aaron Hertzmann:
Aesthetics of Neural Network Art. - Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger:
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. - Xiaoqiang Ren, Yilin Mo, Jie Chen, Karl Henrik Johansson:
Secure State Estimation with Byzantine Sensors: A Probabilistic Approach. - Ethan M. Rudd, Felipe N. Ducau, Cody Wild, Konstantin Berlin, Richard E. Harang:
ALOHA: Auxiliary Loss Optimization for Hypothesis Augmentation. - Lisette Espín-Noboa, Florian Lemmerich, Simon Walk, Markus Strohmaier, Mark A. Musen:
HopRank: How Semantic Structure Influences Teleportation in PageRank (A Case Study on BioPortal). - Yasuhiro Aoki
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet. - Joseph Izraelevitz, Jian Yang, Lu Zhang, Juno Kim, Xiao Liu, Amir Saman Memaripour, Yun Joon Soh, Zixuan Wang, Yi Xu, Subramanya R. Dulloor, Jishen Zhao, Steven Swanson:
Basic Performance Measurements of the Intel Optane DC Persistent Memory Module. - Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu:
Natural Language Interaction with Explainable AI Models. - Reuven Cohen, Yuval Nezri:
Cardinality Estimation in a Virtualized Network Device Using Online Machine Learning. - Rafael-Michael Karampatsis, Charles Sutton:
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code. - Emre Sariyildiz, Rahim Mutlu, Chuanlin Zhang:
Active Disturbance Rejection Based Robust Trajectory Tracking Controller Design in State Space. - Changkyu Song, Abdeslam Boularias:
Inferring 3D Shapes of Unknown Rigid Objects in Clutter through Inverse Physics Reasoning. - Ming Zeng, Nam-Phong Nguyen, Octavia A. Dobre, H. Vincent Poor:
Securing Downlink Massive MIMO-NOMA Networks with Artificial Noise. - Ming Zeng, Animesh Yadav, Octavia A. Dobre, H. Vincent Poor:
Energy-Efficient Joint User-RB Association and Power Allocation for Uplink Hybrid NOMA-OMA. - Xiaofeng Gao
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning. - Ming Zeng, Wanming Hao, Octavia A. Dobre, H. Vincent Poor:
Energy-Efficient Power Allocation in Uplink mmWave Massive MIMO with NOMA. - Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Consistent Dialogue Generation with Self-supervised Feature Learning. - Reo Ogusu, Takao Yamanaka:
LPM: Learnable Pooling Module for Efficient Full-Face Gaze Estimation. - Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. - Umair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu, Kevin Sandeman, Timo Heikkinen, Antti Rannikko, Tuomas Mirtti:
Improving Prostate Cancer Detection with Breast Histopathology Images. - Daniel Hader, Matthew J. Patitz:
Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly. - Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse:
Functional Variational Bayesian Neural Networks. - Chae Ho Cho, Fatemehsadat Tabei, Tra Nguyen Phan, Yeesock Kim, Jo Woon Chong:
A Novel Re-Targetable Application Development Platform for Healthcare Mobile Applications. - Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo:
Learning Parallax Attention for Stereo Image Super-Resolution. - Bin Dai, David P. Wipf:
Diagnosing and Enhancing VAE Models. - Jaouhar Fattahi, Mohamed Mejri, Emil Pricop:
Authentication by Witness Functions. - Zhenwei Liu, Ali Saberi, Anton A. Stoorvogel, Rong Li:
Delayed state synchronization of continuous-time multi-agent systems in the presence of unknown communication delays (including complete proofs). - Aditya Joshi
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective. - Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
On Applications of Bootstrap in Continuous Space Reinforcement Learning. - Xiaoyu Zhao, Wei Chen:
Queue-Aware Variable-Length Coding for Ultra Reliable Low Latency Communications with Random Arrival. - Xu Cao, Weimin Wang, Katashi Nagao:
Neural Style Transfer for Point Clouds. - Gennaro Notomista, Magnus Egerstedt:
Persistification of Robotic Tasks. - Aritra Mitra, John A. Richards, Shreyas Sundaram:
A New Approach for Distributed Hypothesis Testing with Extensions to Byzantine-Resilience. - Frank Nielsen, Gaëtan Hadjeres:
On power chi expansions of f-divergences. - Haiyun He, Lin Zhou, Vincent Y. F. Tan:
Distributed Detection with Empirically Observed Statistics. - Tongtong Zhao, Yuxiao Yan, Ibrahim Shehi Shehu, Xianping Fu, Huibing Wang:
Purifying Naturalistic Images through a Real-time Style Transfer Semantics Network. - Susmit Jha, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha, Somesh Jha, Gunjan Verma, Brian Jalaian, Ananthram Swami:
Attribution-driven Causal Analysis for Detection of Adversarial Examples. - (Withdrawn) A Deep Patent Landscaping Model using Transformer and Graph Convolutional Network.
- Yunjun Gao, Congcong Ge, Xiaoye Miao, Haobo Wang, Bin Yao, Qing Li:
A Hybrid Data Cleaning Framework using Markov Logic Networks. - Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang:
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. - Palash Dey, Sourav Medya:
Covert Networks: How Hard is It to Hide? - Tingwei Liu, John C. S. Lui:
FAVE: A fast and efficient network Flow AVailability Estimation method with bounded relative error. - Jude Tchaye-Kondi, Yanlong Zhai, Kwei-Jay Lin, Wenjun Tao, Kai Yang:
Hadoop Perfect File: A fast access container for small files with direct in disc metadata access. - Vineeta Jain, Vijay Laxmi, Manoj Singh Gaur, Mohamed Mosbah:
ETGuard: Detecting D2D Attacks using Wireless Evil Twins. - Martin Dahl, Endre Erós, Atieh Hanna, Kristofer Bengtsson, Petter Falkman:
Sequence Planner - Automated Planning and Control for ROS2-based Collaborative and Intelligent Automation Systems. - Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao:
MirrorGAN: Learning Text-to-image Generation by Redescription. - Vishal Agrawal, Sachin Singh Gautam:
Varying-order NURBS discretization: An accurate and efficient method for isogeometric analysis of large deformation contact problems. - Yongliang Chen:
Learning Orientation-Estimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image. - Stelios Stefanatos, Gerhard Wunder:
Non-Coherent Joint Transmission in Poisson Cellular Networks Under Pilot Contamination. - Markus Schröder, Christian Jilek, Andreas Dengel:
Interactive Concept Mining on Personal Data - Bootstrapping Semantic Services. - Sebastian S. Feger, Sünje Dallmeier-Tiessen, Albrecht Schmidt, Pawel W. Wozniak:
Designing for Reproducibility: A Qualitative Study of Challenges and Opportunities in High Energy Physics. - Anupam Das, Colin Riba:
A Functional (Monadic) Second-Order Theory of Infinite Trees. - Patrick Bahr, Christian Graulund, Rasmus Ejlers Møgelberg:
Simply RaTT: A Fitch-style Modal Calculus for Reactive Programming. - Yasunori Ozaki, Tatsuya Ishihara, Narimune Matsumura, Tadashi Nunobiki:
Can Robot Attract Passersby without Causing Discomfort by User-Centered Reinforcement Learning? - Adrien Le Coënt, Laurent Fribourg:
Guaranteed Control of Sampled Switched Systems using Semi-Lagrangian Schemes and One-Sided Lipschitz Constants. - Thiemo Alldieck, Marcus A. Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll:
Learning to Reconstruct People in Clothing from a Single RGB Camera. - Jan Razlaw, Jan Quenzel, Sven Behnke:
Detection and Tracking of Small Objects in Sparse 3D Laser Range Data. - Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher Ré:
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. - Markus L. Schmid:
Regular Expressions with Backreferences: Polynomial-Time Matching Techniques. - Siqi Wang, Gayathri Ananthanarayanan, Yifan Zeng, Neeraj Goel, Anuj Pathania, Tulika Mitra:
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors. - Alexander Stannat, Johan Pouwelse:
A Random Walk based Trust Ranking in Distributed Systems. - Hayoung Choi, Tao Jiang, Yuanming Shi:
Large-Scale Beamforming for Massive MIMO via Randomized Sketching. - Andrea Detti, Giulio Rossi, Nicola Blefari-Melazzi:
Exploiting Information Centric Networking to federate NoSQL Spatial Databases. - Bestoun S. Ahmed, Miroslav Bures:
Testing of Smart TV Applications: Key Ingredients, Challenges and Proposed Solutions. - Carsten Kutzner, Szilárd Páll, Martin Fechner, Ansgar Esztermann, Bert L. de Groot, Helmut Grubmüller:
More Bang for Your Buck: Improved use of GPU Nodes for GROMACS 2018. - Shurun Wang, Shiqi Wang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao:
Scalable Facial Image Compression with Deep Feature Reconstruction. - Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, Tie-Yan Liu:
Reinforcement Learning with Dynamic Boltzmann Softmax Updates. - Yu Zhang, Yiming Huo, Dongming Wang, Xiaodai Dong, Xiaohu You:
Channel Estimation and Hybrid Precoding for Distributed Phased Arrays Based MIMO Wireless Communications. - Silvia Sapora, Bogdan Lazarescu, Christo Lolov:
Absit invidia verbo: Comparing Deep Learning methods for offensive language. - Piotr Bródka, Katarzyna Musial, Jaroslaw Jankowski:
Interacting spreading processes in multilayer networks. - Luciano Serafini, Paolo Traverso:
Incremental Learning of Discrete Planning Domains from Continuous Perceptions. - Lucjan Janowski, Jakub Nawala, Werner Robitza, Zhi Li, Lukás Krasula, Krzysztof Rusek:
Notation for Subject Answer Analysis. - Sarah Pissierssens, Jan Claes, Geert Poels:
The "Physics of Diagrams": Revealing the scientific basis of graphical representation design. - Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon:
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning. - Luzhi Wang, Chu-Min Li, Junping Zhou, Bo Jin, Minghao Yin:
An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs. - Gabriella Akemi Miyamoto, Marcelo Firer:
Metrics which turn tilings into binary perfect codes. - Keren Censor-Hillel, Michal Dory, Janne H. Korhonen, Dean Leitersdorf:
Fast Approximate Shortest Paths in the Congested Clique. - Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu:
Low-rank Kernel Learning for Graph-based Clustering. - Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia:
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness. - Amogh Rajanna, Carl P. Dettmann:
Rate Statistics in Cellular Downlink: PHY Rateless vs Adaptive Modulation and Coding. - Robert Bredereck, Jiehua Chen, Ugo Paavo Finnendahl, Rolf Niedermeier:
Stable Roommates with Narcissistic, Single-Peaked, and Single-Crossing Preferences. - Sida Zhou:
Empirical effect of graph embeddings on fraud detection/ risk mitigation. - Juan Camilo Ramírez de los Rios, Paula Alejandra Escudero Marín, María Camila Vásquez-Correa:
ABMS of social network based on affinity. - Leonardo Gutiérrez-Gómez, Jean-Charles Delvenne:
Unsupervised Network Embedding for Graph Visualization, Clustering and Classification. - Ekaterina Yashkina, Arseny Pinigin, Jooyoung Lee, Manuel Mazzara, Akinlolu Solomon Adekotujo, Adam Zubair, Luca Longo:
Expressing Trust with Temporal Frequency of User Interaction in Online Communities. - Matthew E. Peters, Sebastian Ruder, Noah A. Smith:
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. - Othon Michail, Paul G. Spirakis, Michail Theofilatos:
Fault Tolerant Network Constructors. - Joana Fonseca, Jieqiang Wei, Karl Henrik Johansson, Tor Arne Johansen:
Cooperative decentralized circumnavigation with application to algal bloom tracking. - Jinyin Chen, Yangyang Wu, Xiang Lin, Qi Xuan:
Can Adversarial Network Attack be Defended? - Ran Xu:
Estimating Social Influence Using Latent Space Adjusted Approach in R. - Alok Kumar Bharati, Venkataramana Ajjarapu:
Investigation of Relevant Distribution System Representation with DG for Voltage Stability Margin Assessment. - Esteban Bautista, Patrice Abry, Paulo Gonçalves:
Lγ-PageRank for Semi-Supervised Learning. - Nicola Montecchio, Pierre Roy, François Pachet:
The Skipping Behavior of Users of Music Streaming Services and its Relation to Musical Structure. - Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Superpixel-based Color Transfer. - Kamalika Bhattacharjee, Sukanta Das:
On Finite 1-Dimensional Cellular Automata: Reversibility and Semi-reversibility. - Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho, Roman Manevich:
Computing the Scope of Applicability for Acquired Task Knowledge in Experience-Based Planning Domains. - Hancheng Min, Enrique Mallada:
Dynamics Concentration of Large-Scale Tightly-Connected Networks. - Tong Zhou:
Regularity/Controllability/Observability of an NDS with Descriptor Form Subsystems and Generalized LFTs. - Tamir Bendory, Nicolas Boumal, William E. Leeb, Eitan Levin, Amit Singer:
Multi-target detection with application to cryo-electron microscopy. - Christopher Schymura
Audiovisual Speaker Tracking using Nonlinear Dynamical Systems with Dynamic Stream Weights. - Mario Rosado de Souza, Robert Haines, Markel Vigo, Caroline Jay:
What Makes Research Software Sustainable? An Interview Study With Research Software Engineers. - Giuseppe Mazzuoccolo, Vahan Mkrtchyan:
Normal 6-edge-colorings of some bridgeless cubic graphs. - Mohammed S. Hadi, Ahmed Q. Lawey, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Using Machine Learning and Big Data Analytics to Prioritize Outpatients in HetNets. - Rohan R. Paleja, Matthew C. Gombolay:
Inferring Personalized Bayesian Embeddings for Learning from Heterogeneous Demonstration. - Animesh Karnewar, Oliver Wang, Raghu Sesha Iyengar:
MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis. - Yicong He, Fei Wang, Yingsong Li, Jing Qin, Badong Chen:
Robust Matrix Completion via Maximum Correntropy Criterion and Half Quadratic Optimization. - Neeru Singla, Vishal Srivastava:
Deep learning enabled multi-wavelength spatial coherence microscope for the classification of malaria-infected stages with limited labelled data size. - Wouter Kool, Herke van Hoof, Max Welling:
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement. - Markus Chimani, Christine Dahn
Maximum Cut Parameterized by Crossing Number. - Raúl Pardo, Daniel Le Métayer:
Analysis of Privacy Policies to Enhance Informed Consent (Extended Version). - Soheil Kolouri, Nicholas Ketz, Xinyun Zou
Attention-Based Structural-Plasticity. - Mozhgan Bayat, Kai Wan, Giuseppe Caire:
Routing-Based Delivery in Combination-Type Networks with Random Topology. - Vincent J. Hellendoorn, Premkumar T. Devanbu, Oleksandr Polozov, Mark Marron:
Are My Invariants Valid? A Learning Approach. - Ahmad Bilal Asghar, Stephen L. Smith, Shreyas Sundaram:
Multi-Robot Routing for Persistent Monitoring with Latency Constraints. - Dinesh Thakur, Giuseppe Loianno, Wenxin Liu, Vijay Kumar:
Nuclear Environments Inspection with Micro Aerial Vehicles: Algorithms and Experiments. - Émilie Charlier, Célia Cisternino, Adeline Massuir:
State complexity of the multiples of the Thue-Morse set. - Simone Zini, Simone Bianco, Raimondo Schettini:
Deep Residual Autoencoder for quality independent JPEG restoration. - Roberto Bagnara, Abramo Bagnara, Fabio Biselli, Michele Chiari, Roberta Gori:
Correct Approximation of IEEE 754 Floating-Point Arithmetic for Program Verification. - Khaza Anuarul Hoque, Nathalie Cauchi, Alessandro Abate:
Analyzing Occupancy-Driven Thermal Dynamics in Smart Buildings. - Mahesh B. Patil, M. Naveen Naidu, A. Vasan, Murari R. R. Varma:
Water Distribution System Design Using Multi-Objective Particle Swarm Optimisation. - Md Umar Hashmi, Deepjyoti Deka, Ana Busic, Lucas Pereira, Scott Backhaus:
Arbitrage with Power Factor Correction using Energy Storage. - Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic:
Tucker Tensor Layer in Fully Connected Neural Networks. - Alireza Poostindouz, Reihaneh Safavi-Naini:
Wiretap Secret Key Capacity of Tree-PIN. - Payam Delgosha, Naveen Goela:
Deep Switch Networks for Generating Discrete Data and Language. - Bo Fu, Yue Wang, Yanmei Jiao, Xiaqing Ding, Li Tang, Rong Xiong:
Spatiotemporal Decoupling Based LiDAR-Camera Calibration under Arbitrary Configurations. - Silvio Peroni, Paolo Ciancarini, Aldo Gangemi, Andrea Giovanni Nuzzolese, Francesco Poggi, Valentina Presutti:
The practice of self-citations: a longitudinal study. - Heliang Zheng, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo:
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition. - Jan Scholten, Daan Wout, Carlos Celemin, Jens Kober:
Deep Reinforcement Learning with Feedback-based Exploration. - Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang:
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data. - Aditya Modi, Ambuj Tewari:
Contextual Markov Decision Processes using Generalized Linear Models. - Holger Petersen:
LIKE Patterns and Complexity. - Shengling Shi, Giulio Bottegal, Paul M. J. Van den Hof:
Bayesian topology identification of linear dynamic networks. - Carl Trimbach, Michael L. Littman:
Teaching with IMPACT. - M. Nikhil Krishnan, Deeptanshu Shukla, P. Vijay Kumar:
Low Field-size, Rate-Optimal Streaming Codes for Channels With Burst and Random Erasures. - Kai Li, Jane Greenberg, Jillian Dunic:
Data objects and documenting scientific processes: An analysis of data events in biodiversity data papers. - Kai Wu, Jie Ren, Dong Li:
Architecture-Aware, High Performance Transaction for Persistent Memory. - Divya Sindhu Lekha, Sruthi K. S, Kannan Balakrishnan, A. Sreekumar:
Profile Closeness in Complex Networks. - Vladimir Macko, Charles Weill, Hanna Mazzawi, Javier Gonzalvo:
Improving Neural Architecture Search Image Classifiers via Ensemble Learning. - Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Inefficiency of K-FAC for Large Batch Size Training. - Eun-Young Kang:
A Formal Verification Technique for Architecture-based Embedded Systems in EAST-ADL. - Baohua Sun, Lin Yang, Wenhan Zhang, Michael Lin, Patrick Dong, Charles Young, Jason Dong:
SuperTML: Two-Dimensional Word Embedding and Transfer Learning Using ImageNet Pretrained CNN Models for the Classifications on Tabular Data. - Omid Mersa, Farhood Etaati, Saeed Masoudnia, Babak Nadjar Araabi:
Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach. - Marijana Kracunov, Milica Bastrica, Jovana Tesovic:
Object tracking in video signals using Compressive Sensing. - Thomas Robins, Antonio Stanziola, Kai Reimer, Peter D. Weinberg, Meng-Xing Tang:
Demonstration of Vector Flow Imaging using Convolutional Neural Networks. - Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini, Babak Nadjar Araabi:
Active Transfer Learning for Persian Offline Signature Verification. - Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing:
Learning Robust Representations by Projecting Superficial Statistics Out. - Hyoung Suk Park, Jineon Baek, Sun Kyoung You, Jae Kyu Choi, Jin Keun Seo:
Unpaired image denoising using a generative adversarial network in X-ray CT. - Yi Liang, Xin Zhao, Alan J. X. Guo, Fei Zhu:
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field. - Adeel Mufti, Biagio Antonelli, Julius Monello:
Conditional GANs For Painting Generation. - Tim Sodergren, Riddhish Bhalodia, Ross T. Whitaker, Joshua Cates, Nassir Marrouche, Shireen Y. Elhabian:
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation. - Mingming Lu, Kunfang Zhang, Haiying Liu, Naixue Xiong:
Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction. - Gladys M. H. Hilasaca, Fernando Vieira Paulovich:
Distance Preserving Grid Layouts. - Milutin Pajovic, Vikrant Shah, Philip V. Orlik:
Algorithm for Decentralized Cooperative Positioning of Multiple Autonomous Agents. - Thomais Asvestopoulou, Victoria Manousaki, Antonis Psistakis, Ioannis Smyrnakis, Vassilios Andreadakis, Ioannis M. Aslanides, Maria Papadopouli:
DysLexML: Screening Tool for Dyslexia Using Machine Learning. - Dheeraj Peri, Shagan Sah, Raymond W. Ptucha:
Show, Translate and Tell. - Luis Ramada Pereira, Rui J. Lopes, Jorge Louçã:
Syntgen: A system to generate temporal networks with user specified topology. - Nestor Gonzalez Lopez, Yue Leire Erro Nuin, Elias Barba Moral, Lander Usategui San Juan, Alejandro Solano Rueda, Victor Mayoral Vilches, Risto Kojcev:
gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo. - Sky Croeser, Peter Eckersley:
Theories of Parenting and their Application to Artificial Intelligence. - Yue Leire Erro Nuin, Nestor Gonzalez Lopez, Elias Barba Moral, Lander Usategui San Juan, Alejandro Solano Rueda, Victor Mayoral Vilches, Risto Kojcev:
ROS2Learn: a reinforcement learning framework for ROS 2. - Rahul Chandan, Dario Paccagnan, Jason R. Marden:
Optimal Price of Anarchy in Cost-Sharing Games. - Noriki Fujisato, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
The Parameterized Position Heap of a Trie. - Kiichi Watanabe, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Shortest Unique Palindromic Substring Queries on Run-Length Encoded Strings. - Ian J. Goodfellow:
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks. - Xingyu Lin, Pengsheng Guo, Carlos Florensa, David Held:
Adaptive Variance for Changing Sparse-Reward Environments. - Yang Li, Yoshitaka Ushiku, Tatsuya Harada:
Pose Graph Optimization for Unsupervised Monocular Visual Odometry. - Yanmei Dong, Mingtao Pei, Lijia Zhang, Bin Xu, Yuwei Wu, Yunde Jia:
Stitching Videos from a Fisheye Lens Camera and a Wide-Angle Lens Camera for Telepresence Robots. - Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto:
Toward Imitating Visual Attention of Experts in Software Development Tasks. - Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, Yebin Liu:
SimulCap : Single-View Human Performance Capture with Cloth Simulation. - Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai:
Unsupervised Person Re-identification by Soft Multilabel Learning. - Ho-Chun Herbert Chang, Feng Fu:
Co-Contagion Diffusion on Multilayer Networks. - Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo:
Flickr1024: A Dataset for Stereo Image Super-Resolution. - David Burth Kurka, Deniz Gündüz:
Successive Refinement of Images with Deep Joint Source-Channel Coding. - Liqin Shi, Yinghui Ye, Rose Qingyang Hu, Hailin Zhang:
Energy Efficiency Maximization for SWIPT Enabled Two-Way DF Relaying. - Ruiqin Zhao, Hao Long, Octavia A. Dobre, Xiaohong Shen, Telex Magloire Nkouatchah Ngatched, Haodi Mei:
Time Reversal based MAC for Multi-Hop Underwater Acoustic Networks. - Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. - Anwar Alqaimi, Patanamon Thongtanunam, Christoph Treude:
Automatically Generating Documentation for Lambda Expressions in Java. - Jiaxin Xie, Zhiqiang Xu:
Subset Selection for Matrices with Fixed Blocks. - Ruochen Xu, Tao Ge, Furu Wei:
Formality Style Transfer with Hybrid Textual Annotations. - Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu:
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. - Jack Murtagh, Omer Reingold, Aaron Sidford, Salil P. Vadhan:
Deterministic Approximation of Random Walks in Small Space. - Vishnu S. Chipade, Dimitra Panagou:
Herding an Adversarial Attacker to a Safe Area for Defending Safety-Critical Infrastructure. - Fang Zhou, Linyuan Lü, Manuel Sebastian Mariani:
Fast influencers in complex networks. - Jun Liu:
Robust Decidability of Sampled-Data Control of Nonlinear Systems with Temporal Logic Specifications. - Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu:
A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning. - Chankyu Lee, Syed Shakib Sarwar, Kaushik Roy:
Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures. - Ahmadreza Moradipari, Mahnoosh Alizadeh:
Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network. - Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub:
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. - Wei Xu, Haowei Gu, Youming Qing, Jiarong Lin, Fu Zhang:
Full Attitude Control of an Efficient Quadrotor Tail-sitter VTOL UAV with Flexible Modes. - Yuan Cao, Lijuan Han, Xiaojin Zhao, Xiaofang Pan:
AccFlow: Defending Against the Low-Rate TCP DoS Attack in Wireless Sensor Networks. - Yilun Zhang, Ty Nguyen, Ian D. Miller, Shreyas S. Shivakumar, Steven W. Chen, Camillo J. Taylor, Vijay Kumar:
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance. - Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang:
Quality-aware Unpaired Image-to-Image Translation. - Shauli Ravfogel
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages. - Jianru Xue, Jianwu Fang, Tao Li, Bohua Zhang, Pu Zhang, Zhen Ye, Jian Dou:
BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving. - Frédéric Recoules, Sébastien Bardin, Richard Bonichon, Laurent Mounier, Marie-Laure Potet:
Get rid of inline assembly through trustable verification-oriented lifting. - Roberto Gretter, Katharina Allgaier, Svetlana Tchistiakova, Daniele Falavigna:
Automatic assessment of spoken language proficiency of non-native children. - Yukie Sano, Hideki Takayasu, Shlomo Havlin, Misako Takayasu:
Identifying long-term periodic cycles and memories of collective emotion in online social media. - Mikito Nanashima:
A Faster Algorithm Enumerating Relevant Features over Finite Fields. - Reza Hedayati Majdabadi, Saeed Sharifian Khortoomi:
A proposed method to extract maximum possible power in the shortest time on solar PV arrays under partial shadings using metaheuristic algorithms. - Mehrdad Zakershahrak, Ze Gong, Yu Zhang:
Online Explanation Generation for Human-Robot Teaming. - Mahdieh Ahmadi, James Roberts, Emilio Leonardi, Ali Movaghar:
Impact of Traffic Characteristics on Request Aggregation in an NDN Router. - Liping Li, Wei Song, Kai Niu:
Optimal Puncturing of Polar Codes With a Fixed Information Set. - Xiangliang Kong, Xin Wang, Gennian Ge:
New bounds and constructions for constant weighted X-codes. - Agata Gniewek, Michal Barcis, Christian Bettstetter:
Robots that Sync and Swarm: A Proof of Concept in ROS 2. - Shiwen He, Ju Ren, Jiaheng Wang, Yongming Huang, Yaoxue Zhang, Weihua Zhuang, Xuemin Sherman Shen:
Cloud-Edge Coordinated Processing: Low-Latency Multicasting Transmission. - Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman:
Applying Probabilistic Programming to Affective Computing. - Wouter Castryck, Thomas Decru, Benjamin Smith
Hash functions from superspecial genus-2 curves using Richelot isogenies. - Guenter Hesse, Christoph Matthies, Werner Sinzig, Matthias Uflacker:
Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case. - Christoph Roch, Thomy Phan, Sebastian Feld, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games. - Chanwoo Jeong, Sion Jang, Hyuna Shin, Eunjeong L. Park, Sungchul Choi:
A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks. - Dima Kagan, Thomas Chesney, Michael Fire:
Using Data Science to Understand the Film Industry's Gender Gap. - Lihi Dery, Tamir Tassa:
Secure Voting Protocols with Perfect Ballot Secrecy. - Zerong Zheng, Tao Yu, Yixuan Wei, Qionghai Dai, Yebin Liu:
DeepHuman: 3D Human Reconstruction from a Single Image. - Ioannis Agtzidis, Mikhail Startsev, Michael Dorr:
A Ground-Truth Data Set and a Classification Algorithm for Eye Movements in 360-degree Videos. - Gargi Mitra, Prasanna Karthik Vairam, Patanjali SLPSK, Nitin Chandrachoodan, Kamakoti Veezhinathan:
White Mirror: Leaking Sensitive Information from Interactive Netflix Movies using Encrypted Traffic Analysis. - Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations. - Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass:
Neuromorphic Hardware learns to learn. - Daniel Hershcovich, Omri Abend, Ari Rappoport:
Content Differences in Syntactic and Semantic Representations. - Farzad Farshchi, Qijing Huang, Heechul Yun:
Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim. - Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie:
MFAS: Multimodal Fusion Architecture Search. - Tim Zerrell, Jeremy Bruestle:
Stripe: Tensor Compilation via the Nested Polyhedral Model. - Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte:
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments. - Moez A. AbdelGawad:
Mutual Coinduction. - Eleftherios Lampiris, Aly El Gamal, Petros Elia:
Wyner's Network on Caches: Combining Receiver Caching with a Flexible Backhaul. - Philip T. G. Jackson
Phenotypic Profiling of High Throughput Imaging Screens with Generic Deep Convolutional Features. - Didier Caucal:
On Cayley graphs of basic algebraic structures. - Jinkyu Kim, Hyeonseok Lee, Jinwon Shin:
Extended framework of Hamilton's principle applied to Duffing oscillation. - William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong:
GolfDB: A Video Database for Golf Swing Sequencing. - Nicolas Girard, Guillaume Charpiat
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data. - Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. - Liyuan Pan, Richard I. Hartley, Cedric Scheerlinck, Miaomiao Liu, Xin Yu
Bringing Blurry Alive at High Frame-Rate with an Event Camera. - Saeed Masoudnia, Omid Mersa, Babak Nadjar Araabi, AbdolHossein Vahabie, Mohammad Amin Sadeghi, Majid Nili Ahmadabadi:
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs. - Paresh Malalur, Tommi S. Jaakkola:
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition. - Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Age prediction using a large chest X-ray dataset. - Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb:
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. - Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui:
Constrained Mutual Convex Cone Method for Image Set Based Recognition. - Constantin Enea, Suha Orhun Mutluergil, Gustavo Petri, Chao Wang:
Replication-Aware Linearizability. - Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee, Stefan Winkler:
Multi-label Cloud Segmentation Using a Deep Network. - Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain:
Role of Bloom Filter in Big Data Research: A Survey. - Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain:
scaleBF: A High Scalable Membership Filter using 3D Bloom Filter. - Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang:
Inserting Videos into Videos. - Janka Chlebíková, Cristina Bazgan, Clément Dallard
Proportionally dense subgraph of maximum size: complexity and approximation. - Duo Wang, Mateja Jamnik, Pietro Liò:
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat. - Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang:
Selective Kernel Networks. - Samir Wadhwania, Dong-Ki Kim, Shayegan Omidshafiei, Jonathan P. How:
Policy Distillation and Value Matching in Multiagent Reinforcement Learning. - Sven Kreiss
PifPaf: Composite Fields for Human Pose Estimation. - J. Ian Munro, Yakov Nekrich:
Dynamic Planar Point Location in External Memory. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Deep Neural Network Ensembles for Time Series Classification. - Chen Liu, Ryota Tomioka, Volkan Cevher:
On Certifying Non-uniform Bound against Adversarial Attacks. - Michael Azmy, Peng Shi, Jimmy Lin, Ihab F. Ilyas:
Matching Entities Across Different Knowledge Graphs with Graph Embeddings. - Robail Yasrab:
Grid Computing Model for Mobile: A Better Mobile Grid Computing Model. - Yufei Tao, Yu Wang:
Distribution-Sensitive Bounds on Relative Approximations of Geometric Ranges. - Seyyed Yousef Oleyaei-Motlagh, Adan Ernesto Vela:
Inferring demand from partially observed data to address the mismatch between demand and supply of taxis in the presence of rain. - Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino:
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. - Guy G. F. Lemieux, Joe Edwards, Joel Vandergriendt, Aaron Severance, Ryan De Iaco, Abdullah Raouf, Hussein Osman, Tom Watzka, Satwant Singh:
TinBiNN: Tiny Binarized Neural Network Overlay in about 5, 000 4-LUTs and 5mW. - Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bingsheng He, Wei Wang:
Efficient Memory Management for GPU-based Deep Learning Systems. - Panagiota Kiourti, Kacper Wardega, Susmit Jha, Wenchao Li:
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents. - Géraldine Castel, Genoveva Vargas-Solar
Analyzing digital politics: Challenges and experiments in a dual perspective. - Vasileios Sideridis, Andrew Zacharakis, George Tzagkarakis, Maria Papadopouli:
GestureKeeper: Gesture Recognition for Controlling Devices in IoT Environments. - Mai Bui, Christoph Baur, Nassir Navab, Slobodan Ilic, Shadi Albarqouni:
Adversarial Joint Image and Pose Distribution Learning for Camera Pose Regression and Refinement. - Basit Qureshi, Anis Koubaa:
On Energy Efficiency and Performance Evaluation of SBC based Clusters: A Hadoop case study. - Qiuwen Lou, Indranil Palit, Li Tang
Application-level Studies of Cellular Neural Network-based Hardware Accelerators. - Ivan Sopin, Felix G. Hamza-Lup:
Extending the Web3D: Design of Conventional GUI Libraries in X3D. - Christos Mousas, Alexandros Koilias, Dimitris Anastasiou, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos:
Effects of Self-Avatar and Gaze on Avoidance Movement Behavior. - Ayub A. Gubran, Felix Huang, Tor M. Aamodt:
Surface Compression Using Dynamic Color Palettes. - Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan:
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. - Sébastien Lemaire, Yu Cao, Thomas Kluyver, Daniel Hausner, Camil Vasilovici, Zhong-yuen Lee, Umberto José Varbaro, Sophia M. Schillai:
Adaptive Probabilistic Tack Manoeuvre Decision for Sailing Vessels. - Nikoli Dryden, Naoya Maruyama, Tom Benson, Tim Moon, Marc Snir, Brian Van Essen:
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism. - Lucas Manuelli, Wei Gao, Peter R. Florence, Russ Tedrake:
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation. - Zakieh S. Hashemifar, Charuvahan Adhivarahan, Anand Balakrishnan, Karthik Dantu:
Augmenting Visual SLAM with Wi-Fi Sensing For Indoor Applications. - Jeferson Santiago da Silva, François-Raymond Boyer, J. M. Pierre Langlois:
Module-per-Object: a Human-Driven Methodology for C++-based High-Level Synthesis Design. - Dorian Cazau:
Development details and computational benchmarking of DEPAM. - Moshe Babaioff, Kira Goldner, Yannai A. Gonczarowski:
Bulow-Klemperer-Style Results for Welfare Maximization in Two-Sided Markets. - Maciej Besta, Dimitri Stanojevic, Johannes de Fine Licht, Tal Ben-Nun, Torsten Hoefler:
Graph Processing on FPGAs: Taxonomy, Survey, Challenges. - Sanjeev Raja, Ernest Fokoué:
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning. - Amedeo Sapio
Scaling Distributed Machine Learning with In-Network Aggregation. - Cristiano Arbex Valle, John E. Beasley:
Order allocation, rack allocation and rack sequencing for pickers in a mobile rack environment. - Ondrej Miksik, Vibhav Vineet:
Live Reconstruction of Large-Scale Dynamic Outdoor Worlds. - Naji Dmeiri, David A. Tomassi, Yichen Wang, Antara Bhowmick, Yen-Chuan Liu, Premkumar T. Devanbu, Bogdan Vasilescu, Cindy Rubio-González:
BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes. - Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou:
Predicting Academic Performance for College Students: A Campus Behavior Perspective. - Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren, Lei Xing:
On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes. - Navoneel Chakrabarty:
A Data Mining Approach to Flight Arrival Delay Prediction for American Airlines. - Xi Xiong, Erdong Xiao, Li Jin:
Analysis of a Stochastic Model for Coordinated Platooning of Heavy-duty Vehicles. - Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data-driven Neural Architecture Learning For Financial Time-series Forecasting. - Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan:
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. - Ruohan Zhang, Zhuode Liu, Lin Guan, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard:
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. - Ibrahim Mousa Al-Zuabi, Assef Jafar, Kadan Aljoumaa:
Predicting customer's gender and age depending on mobile phone data. - Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. - Tiziano Portenier, Qiyang Hu, Paolo Favaro, Matthias Zwicker:
Smart, Deep Copy-Paste. - Navoneel Chakrabarty:
A Machine Learning Approach to Comment Toxicity Classification. - Johan Östman, Rahul Devassy, Giuseppe Durisi, Elif Uysal-Biyikoglu:
Peak-Age Violation Guarantees for the Transmission of Short Packets over Fading Channels. - Julio César Cortés Ríos, Kamilla Kopec-Harding, Sukru Eraslan, Christopher Page, Robert Haines, Caroline Jay, Suzanne M. Embury:
A Methodology for Using GitLab for Software Engineering Learning Analytics. - Michele Basaldella:
Lambda Congruences and Extensionality. - Xin Ling, Sihem Mesnager, Yanfeng Qi, Chunming Tang:
A class of narrow-sense BCH codes over Fq of length (qm-1)/2. - Shay Deutsch, Andrea L. Bertozzi, Stefano Soatto:
Zero Shot Learning with the Isoperimetric Loss. - Timothy M. Chan, Sariel Har-Peled:
Smallest k-Enclosing Rectangle Revisited. - Eren Balevi, Jeffrey G. Andrews:
Online Antenna Tuning in Heterogeneous Cellular Networks with Deep Reinforcement Learning. - Chen Feng, Tao Sheng, Zhiyu Liang, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Matthew Ardi, Alexander C. Berg, Yiran Chen, Bo Chen, Kent Gauen, Yung-Hsiang Lu:
Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution. - Karl Mason, Sadegh Vejdan, Santiago Grijalva:
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets. - Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi, Alessandro Franco, Mauro Tucci, Fabrizio Bizzarri, Debora Mucci:
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants. - Luca Piccolboni, Giuseppe Di Guglielmo, Luca P. Carloni:
Securing Accelerators with Dynamic Information Flow Tracking. - Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr:
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. - Amy Tabb, Henry Medeiros:
Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks. - Karol Piaskowski, Rafal Staszak, Dominik Belter:
Generate What You Can't See - a View-dependent Image Generation. - Jose Armando Oviedo, Hamid R. Sadjadpour:
Fundamentals of Power Allocation Strategies for Downlink Multi-user NOMA with Target Rates. - Samaneh Hosseini Moghaddam, Mandana Khademi, Maghsoud Abbaspour:
Does Homophily Make Socialbots More Influential? Exploring Infiltration Strategies. - Lakshmanan Nataraj, Tajuddin Manhar Mohammed, B. S. Manjunath, Shivkumar Chandrasekaran, Arjuna Flenner, Jawadul H. Bappy, Amit K. Roy-Chowdhury:
Detecting GAN generated Fake Images using Co-occurrence Matrices. - Mikhail Usvyatsov, Konrad Schindler:
Visual recognition in the wild by sampling deep similarity functions. - Claudio De Persis, Pietro Tesi:
On Persistency of Excitation and Formulas for Data-driven Control. - Kuangen Zhang
Directional PointNet: 3D Environmental Classification for Wearable Robotics. - Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay:
Safe Coordination of Human-Robot Firefighting Teams. - Yoji Yamato, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda:
Study to achieve environment adaptive software. - Ali Oguz Uzman, Jannis Horn, Sven Behnke:
Learning Super-resolution 3D Segmentation of Plant Root MRI Images from Few Examples. - Wenjie Xu, Deliang Chang, Xing Li:
On the classification and false alarm of invalid prefixes in RPKI based BGP route origin validation. - Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi:
Domain Generalization by Solving Jigsaw Puzzles. - Bhaskar Ramasubramanian, Rance Cleaveland, Steven I. Marcus:
Notions of Centralized and Decentralized Opacity in Linear Systems. - Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran:
Secure Control under Partial Observability with Temporal Logic Constraints. - Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler:
Fast Interactive Object Annotation with Curve-GCN. - Jean Louis Ebongue Kedieng Fendji, Sidoine Djuissi Samo:
Energy and performance evaluation of reactive, proactive, and hybrid routing protocols in wireless mesh network. - Yassine Kaouane, Khalide Jbilou:
A block tangential Lanczos method for model reduction of large-scale first and second order dynamical systems. - Kai Liu, Qiuwei Li, Hua Wang, Gongguo Tang:
Spherical Principal Component Analysis. - Lifang Wu, Zhou Yang, Jiaoyu He, Meng Jian, Yaowen Xu, Dezhong Xu, Chang Wen Chen:
Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos. - Jingbo Du, Wei Xu, Bin Sheng, Chunming Zhao:
Rethinking Uplink Hybrid Processing: When is Pure Analog Processing Suggested? - Hsuan-Chi Kuo, Akshith Gunasekaran, Yeongjin Jang, Sibin Mohan, Rakesh B. Bobba, David Lie, Jesse Walker:
MultiK: A Framework for Orchestrating Multiple Specialized Kernels. - Daniel Link, Pooyan Behnamghader, Ramin Moazeni, Barry W. Boehm:
Recover and RELAX: Concern-Oriented Software Architecture Recovery for Systems Development and Maintenance. - Nikhil Bansal, Joel H. Spencer:
On-Line Balancing of Random Inputs. - Pengyuan Liu, Chengyu Du, Shuofeng Zhao, Chenghao Zhu
Emotion Action Detection and Emotion Inference: the Task and Dataset. - Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. - Yair Marom, Dan Feldman:
k-Means Clustering of Lines for Big Data. - Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Marc Pollefeys, Fredrik Kahl:
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation. - Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution GAN, with Manifold-based and Perception Loss. - Jinbao Zhu, Qifa Yan, Chao Qi, Xiaohu Tang:
A new Capacity-Achieving Private Information Retrieval Scheme with (Almost) Optimal File Length for Coded Servers. - Zhengeng Yang, Hongshan Yu, Qiang Fu, Wei Sun, Wenyan Jia, Mingui Sun, Zhi-Hong Mao:
Real time backbone for semantic segmentation. - Rohan Ghosh, Anupam K. Gupta, Siyi Tang, Alcimar Soares, Nitish V. Thakor:
Spatiotemporal Feature Learning for Event-Based Vision. - Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Hui-Ming Wang:
Zero Forcing Detection For Short Packet Transmission Under Channel Estimation Errors. - Srdjan Matic, Gareth Tyson, Gianluca Stringhini:
Pythia: a Framework for the Automated Analysis of Web Hosting Environments. - Ali Baba Dauda, Abubakar Auwal Idris, Suleiman Umar, Peter Mshelia, AbdulAziz Ibrahim:
Architecture for Integrating Learning Platforms Using Adapter. - Jiarui Fang, Liandeng Li, Haohuan Fu, Jinlei Jiang, Wenlai Zhao, Conghui He, Xin You, Guangwen Yang:
swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight. - Enrique Manjavacas, Ákos Kádár, Mike Kestemont:
Improving Lemmatization of Non-Standard Languages with Joint Learning. - Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer:
Unsupervised Part-Based Disentangling of Object Shape and Appearance. - Luciano Walenty Xavier Cejnog, Roberto Marcondes Cesar Jr., Teófilo Emídio de Campos
Hand range of motion evaluation for Rheumatoid Arthritis patients. - Siddharth D. Jaiswal, Yogesh Simmhan:
A Partition-centric Distributed Algorithm for Identifying Euler Circuits in Large Graphs. - John Brandt:
Imbalanced multi-label classification using multi-task learning with extractive summarization. - Ahmet Serkan Karatas:
Feather: A Feature Model Transformation Language. - Aloisio Dourado
Domain adaptation for holistic skin detection. - Kunal Garg, Ehsan Arabi, Dimitra Panagou:
Prescribed-time convergence with input constraints: A control Lyapunov function based approach. - Salar Safarkhani, Vikranth Reddy Kattakuri, Ilias Bilionis, Jitesh H. Panchal:
A Principal-Agent Model of Systems Engineering Processes with Application to Satellite Design. - Ahmad Biniaz, Kshitij Jain, Anna Lubiw, Zuzana Masárová, Tillmann Miltzow, Debajyoti Mondal, Anurag Murty Naredla, Josef Tkadlec, Alexi Turcotte:
Token Swapping on Trees. - Alexandre Trocado
Computing the intersection of two quadrics through projection and lifting. - Guchong Li, Giorgio Battistelli, Wei Yi, Lingjiang Kong:
Distributed Multi-sensor Multi-view Fusion based on Generalized Covariance Intersection. - Peixi Xiong, Huayi Zhan, Xin Wang, Baivab Sinha, Ying Wu:
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning. - Cong Xie, Sanmi Koyejo, Indranil Gupta:
Practical Distributed Learning: Secure Machine Learning with Communication-Efficient Local Updates. - Chris Grossack:
Extensions of Abelian Automata Groups. - Yang Zheng, Izzat H. Izzat, Shahrzad Ziaee:
GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection. - Ali Baba Dauda, Zerdoumi Saber, Faiz Alotaibi, Muhammad A. Mustapha, Muhamad Taufik Abdullah:
Effect of Serialized Messaging on Web Services Performance. - Charlott Vallon, Francesco Borrelli:
Model-Based Task Transfer Learning. - Athanasios-Rafail Lagos, George P. Papavassilopoulos:
Network topology design to influence the effects of manipulative behaviors in a social choice procedure. - Rodrigo Canaan, Christoph Salge, Julian Togelius, Andy Nealen:
Leveling the Playing Field - Fairness in AI Versus Human Game Benchmarks. - Hao Guo, Ehsan Meamari, Chien-Chung Shen:
Multi-Authority Attribute-Based Access Control with Smart Contract. - Federico Maggi
BRTSim, a general-purpose computational solver for hydrological, biogeochemical, and ecosystem dynamics. - Hugo A. Akitaya, Matias Korman, Mikhail Rudoy, Diane L. Souvaine, Csaba D. Tóth:
Circumscribing Polygons and Polygonizations for Disjoint Line Segments. - Cong Xie:
Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers. - Adam Poulsen
Responses to a Critique of Artificial Moral Agents. - Kexue Zhang:
Integral Input-to-State Stability of Nonlinear Time-Delay Systems with Delay-Dependent Impulse Effects. - Prosenjit Bose, Paz Carmi, J. Mark Keil, Anil Maheshwari, Saeed Mehrabi, Debajyoti Mondal, Michiel H. M. Smid:
Computing Maximum Independent Set on Outerstring Graphs and Their Relatives. - Alvin D. Wong, Kevin Su, Hang Sun, Arash Fayyazi, Massoud Pedram, Shahin Nazarian:
VeriSFQ - A Semi-formal Verification Framework and Benchmark for Single Flux Quantum Technology. - Hussien Al-Hmood, Hamed S. Al-Raweshidy:
Effective rate analysis over Fluctuating Beckmann fading channels. - James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül:
Reconstructing neuronal anatomy from whole-brain images. - Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
TurkScanner: Predicting the Hourly Wage of Microtasks. - Hana Habib, Neil Shah, Rajan Vaish:
Impact of Contextual Factors on Snapchat Public Sharing. - Ziyang Guo, Yuqing Ni, Wing Shing Wong, Ling Shi:
Time Synchronization Attack and Countermeasure for Multi-System Scheduling in Remote Estimation. - Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
Audio De-identification: A New Entity Recognition Task. - Marcelo Novaes, Vinicius Petrucci, Abdoulaye Gamatié, Fernando Magno Quintão Pereira:
Compiler-assisted Adaptive Program Scheduling in big.LITTLE Systems. - Saba Salehi, Ahmad Mahmoodi-Aznaveh:
Discriminating Original Region from Duplicated One in Copy-Move Forgery. - Ali Mirzaei, Vahid Pourahmadi, Mehran Soltani, Hamid Sheikhzadeh:
Deep Feature Selection using a Teacher-Student Network. - Dror Aiger, Haim Kaplan, Efi Kokiopoulou, Micha Sharir, Bernhard Zeisl:
General techniques for approximate incidences and their application to the camera posing problem. - Tajvinder Singh Atwal, Mark Scanlon, Nhien-An Le-Khac:
Shining a light on Spotlight: Leveraging Apple's desktop search utility to recover deleted file metadata on macOS. - Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller:
Adversarial Attacks on Deep Neural Networks for Time Series Classification. - Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan:
Learning Competitive and Discriminative Reconstructions for Anomaly Detection. - Flavio Primo, Paolo Missier, Alexander B. Romanovsky, Mickael Figueredo, Nélio Cacho:
A customisable pipeline for continuously harvesting socially-minded Twitter users. - Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci:
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs. - Rohan Ghosh, Anupam Gupta, Andrei Nakagawa Silva, Alcimar Soares, Nitish V. Thakor:
Spatiotemporal Filtering for Event-Based Action Recognition. - Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang:
Bag of Tricks and A Strong Baseline for Deep Person Re-identification. - Hao Luo, Xing Fan, Chi Zhang, Wei Jiang:
STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification. - Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, Wolfgang Macherey:
The Missing Ingredient in Zero-Shot Neural Machine Translation. - Abdullah Alomar, Muhammad J. Amjad, Robert Lindland, Devavrat Shah:
Time Series Predict DB. - Amir Behjat, Sharat Chidambaran, Souma Chowdhury:
Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents. - Hanif Baharin, Norhayati Yusof, Suzilah Ismail:
Inducing Mimicry Through Auditory Icons. - Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic:
Question Answering via Web Extracted Tables and Pipelined Models. - (Withdrawn) No Delay: Latency-Driven, Application Performance-Aware, Cluster Scheduling.
- Anurag Rai, Eytan H. Modiano:
Topology Discovery Using Path Interference. - Zhixiong Niu, Hong Xu, Peng Cheng, Yongqiang Xiong, Tao Wang, Dongsu Han, Keith Winstein:
NetKernel: Making Network Stack Part of the Virtualized Infrastructure. - Huishuai Zhang, Da Yu, Wei Chen, Tie-Yan Liu:
Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network. - Trinh Van Chien, Christopher Mollén, Emil Björnson:
Two-Layer Decoding in Cellular Massive MIMO Systems with Spatial Channel Correlation. - Alireza Karduni:
Human-Misinformation interaction: Understanding the interdisciplinary approach needed to computationally combat false information. - Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Autoencoders for Text Generation. - Joost Pieterse, Decebal Constantin Mocanu:
Evolving and Understanding Sparse Deep Neural Networks using Cosine Similarity. - Ronen Eldan, Dan Mikulincer:
Stability of the Shannon-Stam inequality via the Föllmer process. - Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner:
Inverse Path Tracing for Joint Material and Lighting Estimation. - Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust Shape Regularity Criteria for Superpixel Evaluation. - Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
SCALP: Superpixels with Contour Adherence using Linear Path. - Raied Aljadaany, Dipan K. Pal, Marios Savvides:
Proximal Splitting Networks for Image Restoration. - Jiaxiao Zheng, Gustavo de Veciana:
Modeling and Optimization of Human-machine Interaction Processes via the Maximum Entropy Principle. - Matteo Grella:
Technical notes: Syntax-aware Representation Learning With Pointer Networks. - Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Evaluation Framework of Superpixel Methods with a Global Regularity Measure. - Tianshi Wang, Jaijeet Roychowdhury:
OIM: Oscillator-based Ising Machines for Solving Combinatorial Optimisation Problems. - Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative:
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. - Ripon Patgiri, Sabuzima Nayak, Tanya Akutota, Bishal Paul:
Machine Learning: A Dark Side of Cancer Computing. - Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis:
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches. - Alice Baird, Simone Hantke, Björn W. Schuller:
Responsible and Representative Multimodal Data Acquisition and Analysis: On Auditability, Benchmarking, Confidence, Data-Reliance & Explainability. - Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. - Yuxiao Chen, James Anderson:
System Level Synthesis with State and Input Constraints. - Keith Dillon:
On the Computation and Applications of Large Dense Partial Correlation Networks. - Mariia Rizun, Artur Strzelecki:
Knowledge Graph Development for App Store Data Modeling. - Yuanhao Gong, Orcun Goksel:
Weighted Mean Curvature. - Igor Santesteban, Miguel A. Otaduy, Dan Casas:
Learning-Based Animation of Clothing for Virtual Try-On. - Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust superpixels using color and contour features along linear path. - Jaroslaw Kowalski, Anna Jaskulska, Kinga Skorupska, Katarzyna Abramczuk, Cezary Biele, Wieslaw Kopec, Krzysztof Marasek:
Older Adults and Voice Interaction: A Pilot Study with Google Home. - Micha Sharir, Chen Ziv:
On the Complexity of the k-Level in Arrangements of Pseudoplanes. - Sarath Sreedharan, Alberto Olmo Hernandez, Aditya Prasad Mishra, Subbarao Kambhampati:
Model-Free Model Reconciliation. - Alexander Wong, Zhong Qiu Lin, Brendan Chwyl:
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design. - Timos Antonopoulos, Eric Koskinen, Ton-Chanh Le:
Specification and Inference of Trace Refinement Relations. - Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames:
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability. - Étienne André, Emmanuel Coquard, Laurent Fribourg, Jawher Jerray
Parametric schedulability analysis of a launcher flight control system under reactivity constraints. - Zubair Shah, Didi Surian, Amalie Dyda, Enrico W. Coiera, Kenneth D. Mandl, Adam G. Dunn:
Automatically applying a credibility appraisal tool to track vaccination-related communications shared on social media. - William R. Johnson, Ajmal Mian, Mark A. Robinson, Jasper Verheul, David G. Lloyd, Jacqueline A. Alderson:
Multidimensional ground reaction forces and moments from wearable sensor accelerations via deep learning. - Zhiqiang Gong, Ping Zhong, Weidong Hu, Fang Liu, Bingwei Hui:
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. - Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron C. Courville, Douglas Eck:
Counterpoint by Convolution. - Hrishik Mishra, Marco De Stefano, Alessandro Massimo Giordano, Christian Ott:
A Nonlinear Observer for Free-Floating Target Motion using only Pose Measurements. - Xiaofang Sun, Chao Shen, Derrick Wing Kwan Ng, Zhangdui Zhong:
Robust Trajectory and Resource Allocation Design for Secure UAV-aided Communications. - Wenshuai Chen, Shuiping Gou, Xinlin Wang, Licheng Jiao, Changzhe Jiao, Alina Zare:
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach. - Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan:
QATM: Quality-Aware Template Matching For Deep Learning. - Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection. - Yaoting Huang, Boyu Chen, Wenlian Lu, Zhong-Xiao Jin, Ren Zheng:
Intelligent Solution System towards Parts Logistics Optimization. - Jezdimir Milosevic, Mathieu Dahan, Saurabh Amin, Henrik Sandberg:
A Network Monitoring Game with Heterogeneous Component Criticality Levels. - Ran Xin, Anit Kumar Sahu, Usman A. Khan, Soummya Kar
Distributed stochastic optimization with gradient tracking over strongly-connected networks. - Christian Commault, Jacob van der Woude, Paolo Frasca:
Functional target controllability of networks: structural properties and efficient algorithms. - Sarath Sreedharan, Tathagata Chakraborti, Christian Muise, Subbarao Kambhampati:
Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning. - Omid Bazgir, Zeynab Mohammadi, Seyed Amir Hassan Habibi:
Emotion Recognition with Machine Learning Using EEG Signals. - Michael Biehl
Prototype-based classifiers in the presence of concept drift: A modelling framework. - Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye:
POI Semantic Model with a Deep Convolutional Structure. - Ping Yu, Kaitao Song, Jianfeng Lu:
Generating Adversarial Examples With Conditional Generative Adversarial Net. - Mahidhar Dwarampudi, N. V. Subba Reddy:
Effects of padding on LSTMs and CNNs. - Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap
Interlaced: Fully decentralized churn stabilization for Skip Graph-based DHTs. - Wonseok Ha, Juhoon Back:
An Output Feedback Stabilizer for MIMO Nonlinear Systems with Uncertain Input Gain: Nonlinear Nominal Model. - Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu:
Semantic Image Synthesis with Spatially-Adaptive Normalization. - Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye:
Heterogeneous Graph Attention Network. - Zhaokang Chen, Bertram E. Shi:
Appearance-Based Gaze Estimation Using Dilated-Convolutions. - Daniele Zambon, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Autoregressive Models for Sequences of Graphs. - Timo Korthals:
M2VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood. - Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Low-rank approximations of hyperbolic embeddings. - Alex Wong, Byung-Woo Hong, Stefano Soatto:
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. - Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. - Masaki Waga, Étienne André:
Online Parametric Timed Pattern Matching with Automata-Based Skipping. - Özgecan Özdogan, Emil Björnson, Jiayi Zhang:
Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts. - Linbin Huang, Jeremy Coulson, John Lygeros, Florian Dörfler:
Data-Enabled Predictive Control for Grid-Connected Power Converters. - Xingkang He, Xiaoqiang Ren, Henrik Sandberg, Karl Henrik Johansson:
Secure distributed filtering for unstable dynamics under compromised observations. - Yu Xing, Xingkang He, Haitao Fang, Karl Henrik Johansson:
Network Weight Estimation for Binary-Valued Observation Models. - Fredrik Olsson, Thomas Seel, Dustin Lehmann, Kjartan Halvorsen:
Joint axis estimation for fast and slow movements using weighted gyroscope and acceleration constraints. - Olga Taran, Slavi Bonev, Slava Voloshynovskiy:
Clonability of anti-counterfeiting printable graphical codes: a machine learning approach. - Shihua Huang, Lu Wang:
IvaNet: Learning to jointly detect and segment objets with the help of Local Top-Down Modules. - Parikshit Maini, P. B. Suijt, Pratap Tokekar:
Visual Monitoring for Multiple Points of Interest on a 2.5D Terrain using a UAV with Limited Field-of-View Constraint. - Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong:
Self-calibrating Deep Photometric Stereo Networks. - Ekaterina Komendantskaya, Yue Li:
Coinductive Uniform Proofs. - Johannes Michael, Roger Labahn, Tobias Grüning, Jochen Zöllner:
Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition. - Michiel Straat, Michael Biehl
On-line learning dynamics of ReLU neural networks using statistical physics techniques. - Yuqing Kong, Yiping Ma, Yifan Wu:
Securely Trading Unverifiable Information without Trust. - Lucas Gren, Per Lenberg, Karolina Ljungberg:
What software engineering can learn from research on affect in social psychology. - Andreas Bäckevik, Erik Tholén, Lucas Gren:
Social Identity in Software Development. - Hamid Karimi, Jiliang Tang:
Learning Hierarchical Discourse-level Structure for Fake News Detection. - Jorge Ángel González Ordiano, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer:
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter. - Thomas Wiest, Nicholas Cummins, Alice Baird, Simone Hantke, Judith Dineley, Björn W. Schuller:
Voice command generation using Progressive Wavegans. - Marc El-Bèze, Juan-Manuel Torres-Moreno, Frédéric Béchet:
Un duel probabiliste pour départager deux présidents (LIA @ DEFT'2005). - Gary Wang:
Deep Text-to-Speech System with Seq2Seq Model. - Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard:
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. - Hongfei Xu
Neutron: An Implementation of the Transformer Translation Model and its Variants. - Shivam Kalra, Larry Li, Hamid R. Tizhoosh:
Automatic Classification of Pathology Reports using TF-IDF Features. - Julien Baste, Michael R. Fellows, Lars Jaffke, Tomás Masarík
Diversity in Combinatorial Optimization. - Tak-Wai Hui, Xiaoou Tang, Chen Change Loy:
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization. - Ernesto Estevez-Rams, A. Mesa Rodriguez, D. Estevez-Moya:
Complexity-entropy analysis at different levels of organization in written language. - Eden Chlamtác, Michael Dinitz, Thomas Robinson:
The Norms of Graph Spanners. - Yang Chen
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation. - Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy:
Crowd Counting with Decomposed Uncertainty. - Yuma Kinoshita, Hitoshi Kiya:
Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion. - Damian Dudzicz, Silas L. Fong, Ashish Khisti:
An Explicit Construction of Optimal Streaming Codes for Channels with Burst and Arbitrary Erasures. - Yair Lakretz, Germán Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni:
The emergence of number and syntax units in LSTM language models. - Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang:
MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones. - Dhruva Tirumala, Hyeonwoo Noh, Alexandre Galashov, Leonard Hasenclever, Arun Ahuja, Greg Wayne, Razvan Pascanu, Yee Whye Teh, Nicolas Heess:
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL. - Siavash Farzan, Guilherme N. DeSouza:
Path Planning in Dynamic Environments Using Time-Warped Grids and a Parallel Implementation. - Harrison Uglow, Martin Zlocha, Szymon Zmyslony:
An Exploration of State-of-the-art Methods for Offensive Language Detection. - Mauro Conti, Ankit Gangwal, Muhammad Hassan, Chhagan Lal, Eleonora Losiouk:
The Road Ahead for Networking: A Survey on ICN-IP Coexistence Solutions. - Francesco Restuccia, Salvatore D'Oro, Salil S. Kanhere, Tommaso Melodia, Sajal K. Das:
Blockchain for the Internet of Things: Present and Future. - Guisen Wu, Liyun Dai, Zhiming Liu, Taolue Chen, Jun Pang, Hongyang Qu:
Online Observability of Boolean Control Networks. - Rémi Bricout, André Chailloux, Thomas Debris-Alazard, Matthieu Lequesne:
Ternary Syndrome Decoding with Large Weight. - Giacomo Tanganelli, Antonio Virdis, Enzo Mingozzi:
Enabling Multi-hop Forwarding in 6LoWPANs through Software-Defined Networking. - Evgeny Bobrov, Antonio Bucchiarone, Alfredo Capozucca, Nicolas Guelfi, Manuel Mazzara, Sergey Masyagin:
Teaching DevOps in academia and industry: reflections and vision. - Tomoyuki Yamakami:
One-Way Topological Automata and the Tantalizing Effects of Their Topological Features. - Nguyen Huu Phong, Bernardete Ribeiro:
Offline and Online Deep Learning for Image Recognition. - Kwang Ho Kim, Sihem Mesnager:
Solving x2k+1+x+a=0 in F2n with gcd(n, k)=1. - Zhe Jia, Marco Maggioni, Jeffrey Smith, Daniele Paolo Scarpazza:
Dissecting the NVidia Turing T4 GPU via Microbenchmarking. - Nguyen Huu Phong, Bernardete Ribeiro:
Advanced Capsule Networks via Context Awareness. - Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue:
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. - Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé:
Understanding the Limitations of CNN-based Absolute Camera Pose Regression. - Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby:
An Effective Label Noise Model for DNN Text Classification. - Jack Albright:
Forecasting the Progression of Alzheimer's Disease Using Neural Networks and a Novel Pre-Processing Algorithm. - Michael Koller, Johannes Feldmaier, Klaus Diepold:
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts. - Jean-Baptiste Cordonnier, Andreas Loukas:
Extrapolating paths with graph neural networks. - Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbrück:
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras. - Sergiy Popovych, Davit Buniatyan, Aleksandar Zlateski, Kai Li, H. Sebastian Seung:
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs. - Thang Bui, Scott D. Stoller, Hieu Le:
Efficient and Extensible Policy Mining for Relationship-Based Access Control. - Chao Liao, Jiabao Lin, Pinyan Lu, Zhenyu Mao:
Counting independent sets and colorings on random regular bipartite graphs. - Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
LYRICS: a General Interface Layer to Integrate AI and Deep Learning. - Myrian Noguera Salinas, Maria Cláudia Figueiredo Pereira Emer, Adolfo Gustavo Serra Seca Neto:
Short Datathon for the Interdisciplinary Development of Data Analysis and Visualization Skills. - Hongxin Wang, Jigen Peng, Qinbing Fu, Huatian Wang, Shigang Yue:
Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds. - Mike Thelwall
Should Citations be Counted Separately from Each Originating Section. - Philipp Fortenbacher, Turhan Demiray:
Reduced and Aggregated Distribution Grid Representations Approximated by Polyhedral Sets. - Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
A Vocoder Based Method For Singing Voice Extraction. - Xiuqin Shang, Dayong Shen, Fei-Yue Wang, Timo R. Nyberg:
A Heuristic Algorithm for the Fabric Spreading and Cutting Problem in Apparel Factories. - Manjot Bilkhu, Hammababdullah Ayyubi:
Human Activity Recognition for Edge Devices. - Mikhail Belkin, Daniel Hsu, Ji Xu:
Two models of double descent for weak features. - Junting Ye, Steven Skiena:
MediaRank: Computational Ranking of Online News Sources. - Amr Adel Helmy:
A Multilingual Encoding Method for Text Classification and Dialect Identification Using Convolutional Neural Network. - Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence from the Cycle-Consistency of Time. - Patrizio Angelini, Steven Chaplick, Sabine Cornelsen, Giordano Da Lozzo, Vincenzo Roselli:
Morphing Contact Representations of Graphs. - Hua Sun, Syed Ali Jafar:
On the Capacity of Computation Broadcast. - Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy on Blockchain. - Xavier Gitiaux, Huzefa Rangwala:
Multi-Differential Fairness Auditor for Black Box Classifiers. - Jean-Luc Peyrot, Laurent Duval, Frédéric Payan, Lauriane Bouard, Lénaïc Chizat, Sébastien Schneider, Marc Antonini:
HexaShrink, an exact scalable framework for hexahedral meshes with attributes and discontinuities: multiresolution rendering and storage of geoscience models. - Étienne Miquey:
A constructive proof of dependent choice in classical arithmetic via memoization. - Michael Muehlebach, Raffaello D'Andrea:
A Method for Reducing the Complexity of Model Predictive Control in Robotics Applications. - Shailesh Chaudhari, Danijela Cabric:
Feasibility of Serving K Secondary Users in Underlay Cognitive Radio Networks using Massive MIMO. - Shailesh Chaudhari, Danijela Cabric:
Downlink transceiver beamforming and admission control for massive MIMO cognitive radio networks. - Rodrigo Fernandes Gomes da Silva, Chanchal K. Roy, Mohammad Masudur Rahman, Kevin A. Schneider, Klérisson Vinícius Ribeiro Paixão, Marcelo de Almeida Maia:
Recommending Comprehensive Solutions for Programming Tasks by Mining Crowd Knowledge. - Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi:
SCNN: A General Distribution based Statistical Convolutional Neural Network with Application to Video Object Detection. - Bhaskar Mitra, Nick Craswell:
An Updated Duet Model for Passage Re-ranking. - Bryan Van Scoy, Laurent Lessard:
Integral Quadratic Constraints: Exact Convergence Rates and Worst-Case Trajectories. - Pelin Dogan, Leonid Sigal, Markus H. Gross:
Neural Sequential Phrase Grounding (SeqGROUND). - Daniel Schwabe, Carlos Laufer:
Trust and Privacy in Knowledge Graphs. - Kuangen Zhang
Sensor Fusion for Predictive Control of Human-Prosthesis-Environment Dynamics in Assistive Walking: A Survey. - Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang:
Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture. - Anna-Lena Horlemann-Trautmann, Violetta Weger
Information Set Decoding in the Lee Metric with Applications to Cryptography. - Asanka P. Sayakkara, Nhien-An Le-Khac, Mark Scanlon:
A Survey of Electromagnetic Side-Channel Attacks and Discussion on their Case-Progressing Potential for Digital Forensics. - Zineb Hebbache, Kenza Guenda, N. Tugba Özzaim, Mehmet Özen, T. Aaron Gulliver:
Self-Dual Skew Cyclic Codes over Fq+uFq. - Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu:
Direct Object Recognition Without Line-of-Sight Using Optical Coherence. - David Bermbach, Erik Wittern:
Benchmarking Web API Quality - Revisited. - Laurent Dinh, Jascha Sohl-Dickstein, Razvan Pascanu, Hugo Larochelle:
A RAD approach to deep mixture models. - Sylvia L. Herbert, Shromona Ghosh, Somil Bansal, Claire J. Tomlin:
Reachability-Based Safety Guarantees using Efficient Initializations. - Carlos Andres Ferrero, Lucas May Petry
Discovering Heterogeneous Subsequences for Trajectory Classification. - Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero:
Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. - David Ríos Insua, Aitor Couce Vieira, José Antonio Rubio, Wolter Pieters, Katsiaryna Labunets, Daniel Garcia Rasines:
An Adversarial Risk Analysis Framework for Cybersecurity. - Travis A. Whetsell, Michael J. Leiblein, Caroline S. Wagner:
Between Promise and Performance: Science and Technology Policy Implementation through Governance Networks. - Jennifer C. Shih:
Predicting Stochastic Human Forward Reachable Sets Based on Learned Human Behavior. - Alexander Pashevich, Robin Strudel, Igor Kalevatykh, Ivan Laptev, Cordelia Schmid:
Learning to Augment Synthetic Images for Sim2Real Policy Transfer. - Brian A. Powell:
The epidemiology of lateral movement: exposures and countermeasures with network contagion models. - Ivo Batkovic, Mario Zanon, Mohammad Ali, Paolo Falcone:
Real-Time Constrained Trajectory Planning and Vehicle Control for Proactive Autonomous Driving With Road Users. - Panagiotis Tampakis
Distributed Subtrajectory Join on Massive Datasets. - Samuel Grossman, Christos Kozyrakis:
A New Frontier for Pull-Based Graph Processing. - Wenbo Zhao, Yang Gao, Shahan Ali Memon, Bhiksha Raj, Rita Singh:
Hierarchical Routing Mixture of Experts. - Ross Pure, Salman Durrani, Fei Tong, Jianping Pan:
Distance Distribution Between Two Random Nodes in Arbitrary Polygons. - Rahul Tallamraju, Durgesh Haribhau Salunkhe, Sujit Rajappa, Aamir Ahmad, Kamalakar Karlapalem, Suril Vijaykumar Shah:
Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems. - Panagiotis E. Hadjidoukas, Fabian Wermelinger:
A Parallel Data Compression Framework for Large Scale 3D Scientific Data. - Borislav Mavrin, Hengshuai Yao, Linglong Kong:
Deep Reinforcement Learning with Decorrelation. - Devi Parikh:
Lemotif: Abstract Visual Depictions of your Emotional States in Life. - Denisa A. O. Roberts
Lorenz Trajectories Prediction: Travel Through Time. - Qiang Zou, Hsi-Yung Feng:
Variational B-rep Model Analysis for Direct Modeling using Geometric Perturbation. - Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Vulnerability Assessment of N-1 Reliable Power Systems to False Data Injection Attacks. - Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa:
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. - Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli:
Cloze-driven Pretraining of Self-attention Networks. - Muslum Ozgur Ozmen, Attila A. Yavuz, Rouzbeh Behnia:
Energy-Aware Digital Signatures for Embedded Medical Devices. - Kun Yi, Jianxin Wu:
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels. - Junkai Sun, Junbo Zhang, Qiaofei Li
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks. - Zipeng Li, Yangwanli Guo, Xiaohu Ge:
Performance Analysis of Urban Mmwave Multi-hop V2V Communications with Shifted-Exponential Distribution Headway. - Mehrdad Showkatbakhsh, Can Karakus, Suhas N. Diggavi:
Differentially Private Consensus-Based Distributed Optimization. - Zhuotao Liu, Yuan Cao, Min Zhu, Wei Ge:
Umbrella: Enabling ISPs to Offer Readily Deployable and Privacy-Preserving DDoS Prevention Services. - Rediet Abebe, Richard Cole, Vasilis Gkatzelis, Jason D. Hartline:
A Truthful Cardinal Mechanism for One-Sided Matching. - (Withdrawn) Random Pairwise Shapelets Forest.
- Yuefeng Chen, Qing Wang:
Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise. - Aashis Khanal, Rolando Estrada:
Dynamic Deep Networks for Retinal Vessel Segmentation. - Huibing Wang, Jinjia Peng, Xianping Fu:
Self-Weighted Multiview Metric Learning by Maximizing the Cross Correlations. - Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh:
Trick or TReAT: Thematic Reinforcement for Artistic Typography. - Danli Wu, Yu Cheng, Dehan Luo, Kin Yeung Wong, Kevin Hung, Zhijing Yang:
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network. - Subhrajit Roy, Kiran Kate, Martin Hirzel:
A semi-supervised deep learning algorithm for abnormal EEG identification. - Mohamadreza Ahmadi, Andrew Singletary, Joel W. Burdick, Aaron D. Ames:
Safe Policy Synthesis in Multi-Agent POMDPs via Discrete-Time Barrier Functions. - Yong Liu, Yinan Zhang
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. - Hao Lan, Yin Tong, Jin Guo, Carla Seatzu:
Verification of C-detectability Using Petri Nets. - Zhe Chen, Xiao-Jun Wu, He-Feng Yin, Josef Kittler:
Low-Rank Discriminative Least Squares Regression for Image Classification. - Zhe Chen, Xiao-Jun Wu, Josef Kittler:
Fisher Discriminative Least Square Regression with Self-Adaptive Weighting for Face Recognition. - Zhe Chen, Xiao-Jun Wu, Josef Kittler:
Non-negative representation based discriminative dictionary learning for face recognition. - Ryuta Arisaka:
Turing-Completeness of Dynamics in Abstract Persuasion Argumentation. - Junya Honda:
A Note on KL-UCB+ Policy for the Stochastic Bandit. - John Skinner, David Hall
The Probabilistic Object Detection Challenge. - Pham Huy Nguyen, Imran I. B. Mohd, Curtis Sparks, Francisco L. Arellano, Wenlong Zhang, Panagiotis Polygerinos:
Fabric Soft Poly-Limbs for Physical Assistance of Daily Living Tasks. - Naijun Liu, Tao Lu, Yinghao Cai, Boyao Li, Shuo Wang:
Hindsight Generative Adversarial Imitation Learning. - Steven D. Morad, Thomas Dailey, Leonard Vance, Jekan Thangavelautham:
A Spring Propelled Extreme Environment Robot for Off-World Cave Exploration. - Guangneng Hu:
Personalized Neural Embeddings for Collaborative Filtering with Text. - Junting Zhang, Jie Zhang, Shalini Ghosh, Dawei Li, Serafettin Tasci, Larry P. Heck, Heming Zhang, C.-C. Jay Kuo:
Class-incremental Learning via Deep Model Consolidation. - Jong Woo Kwack, H. Birkan Yilmaz, Nariman Farsad, Chan-Byoung Chae, Andrea Goldsmith:
Two-Way Molecular Communications. - Jinjia Peng, Huibing Wang, Tongtong Zhao, Xianping Fu:
Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-identification. - Samuel B. Hopkins, Jerry Li:
How Hard Is Robust Mean Estimation? - Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja:
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. - Xavier Tannier
Hybrid Approaches for our Participation to the n2c2 Challenge on Cohort Selection for Clinical Trials. - Tinashe Chingozha, Otis T. Nyandoro, Anton van Wyk:
Stabilizability preserving quotients of non-linear systems. - Nasreddine Benbelkacem, Joaquim Borges, Steven T. Dougherty, Cristina Fernández-Córdoba:
On Z2Z4-additive complementary dual codes and related LCD codes. - Yijie Li, Shang Zhai, Mingrui Chen:
DDoS attack detection method based on feature extraction of deep belief network. - Roman Pogodin, Tor Lattimore:
Adaptivity, Variance and Separation for Adversarial Bandits. - Megha Khosla, Avishek Anand, Vinay Setty:
A Comprehensive Comparison of Unsupervised Network Representation Learning Methods. - Frederik Kratzert, Mathew Herrnegger, Daniel Klotz, Sepp Hochreiter
NeuralHydrology - Interpreting LSTMs in Hydrology. - Sadaf ul Zuhra, Prasanna Chaporkar, Abhay Karandikar:
Resource Allocation for Loss Tolerant Video Streaming in eMBMS. - Fabio Molinari, Jörg Raisch:
Efficient Consensus-based Formation Control With Discrete-Time Broadcast Updates. - Sándor P. Fekete, Phillip Keldenich, Christian Scheffer:
Packing Disks into Disks with Optimal Worst-Case Density. - Vitaliy Lyudvichenko, Mikhail Erofeev, Alexander Ploshkin, Dmitriy S. Vatolin:
Improving Video Compression With Deep Visual-Attention Models. - Alberto Dennunzio, Enrico Formenti, Luca Manzoni, Antonio E. Porreca:
Complexity of the dynamics of reaction systems. - Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes:
Geometry-constrained Car Recognition Using a 3D Perspective Network. - Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar:
CVIT-MT Systems for WAT-2018. - Lukas Schaupp, Mathias Bürki, Renaud Dubé, Roland Siegwart, Cesar Cadena:
OREOS: Oriented Recognition of 3D Point Clouds in Outdoor Scenarios. - Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang:
compare-mt: A Tool for Holistic Comparison of Language Generation Systems. - Christoph Schöller, Vincent Aravantinos, Florian Lay, Alois C. Knoll:
The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction. - Yuhui Wang, Hao He, Xiaoyang Tan:
Truly Proximal Policy Optimization. - Hailong Ma, Xiangxiang Chu, Bo Zhang, Shaohua Wan, Bo Zhang:
A Matrix-in-matrix Neural Network for Image Super Resolution. - Maurizio Gabbrielli, Saverio Giallorenzo
No more, no less - A formal model for serverless computing. - Sandeep Banik, Sanjit K. Kaul, P. B. Sujit:
Minimizing Age in Gateway Based Update Systems. - Carla Binucci, Giordano Da Lozzo, Emilio Di Giacomo, Walter Didimo, Tamara Mchedlidze, Maurizio Patrignani:
Upward Book Embeddings of st-Graphs. - Peyman Afshani:
A New Lower Bound for Semigroup Orthogonal Range Searching. - Mohammad Siami, Mohsen Naderpour, Jie Lu:
A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis. - Moshe Lichtenstein, Gautam Pai, Ron Kimmel:
Deep Eikonal Solvers. - Ahmad Ilham, Danny Ibrahim, Luqman Assaffat, Achmad Solichan:
Tackling Initial Centroid of K-Means with Distance Part (DP-KMeans). - Cihan Akin, Umit Kacar
Twins Recognition with Multi Biometric System: Handcrafted-Deep Learning Based Multi Algorithm with Voice-Ear Recognition Based Multi Modal. - Laurent Stainier, Adrien Leygue, Michael Ortiz:
Model-Free Data-Driven Methods in Mechanics: Material Data Identification and Solvers. - Thomas Ziegler, Manuel Fritsche, Lorenz Kuhn, Konstantin Donhauser:
Efficient Smoothing of Dilated Convolutions for Image Segmentation. - Sebastian Junges, Erika Ábrahám, Christian Hensel, Nils Jansen, Joost-Pieter Katoen, Tim Quatmann, Matthias Volk:
Parameter Synthesis for Markov Models. - Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu, I-Ping Tu, Shih-Wei Liao:
An Evaluation of Bitcoin Address Classification based on Transaction History Summarization. - Romeo Orsolino, Michele Focchi, Stéphane Caron, Gennaro Raiola, Victor Barasuol, Claudio Semini:
Feasible Region: an Actuation-Aware Extension of the Support Region. - Mario Salinas, Daniela Giorgi, Paolo Cignoni:
ReviewerNet: Visualizing Citation and Authorship Relations for Finding Reviewers. - Michail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya:
Data-driven PDE discovery with evolutionary approach. - Valérie Poulin, François Théberge:
Ensemble Clustering for Graphs: Comparisons and Applications. - Peyman Afshani, Jeff M. Phillips:
Independent Range Sampling, Revisited Again. - David A. Schmidt, Mohammad S. Khan, Brian T. Bennett:
Spline Based Intrusion Detection in Vehicular Ad Hoc Networks (VANET). - Pedro Gonnet, Thomas Deselaers:
IndyLSTMs: Independently Recurrent LSTMs. - Timo Häckel, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
Software-Defined Networks Supporting Time-Sensitive In-Vehicular Communication. - Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe:
Event-triggered Pulse Control with Model Learning (if Necessary). - Holger Kinkelin, Heiko Niedermayer, Marc Müller, Georg Carle:
Multi-party authorization and conflict mediation for decentralized configuration management processes. - Jie Cai, Zibo Meng, Ahmed-Shehab Khan, Zhiyuan Li, James O'Reilly, Yan Tong:
Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network. - Pablo Daniel Marcillo Lara, Daniel Alejandro Maldonado-Ruiz, Santiago Daniel Arrais Díaz, Lorena Isabel Barona López, Ángel Leonardo Valdivieso Caraguay:
Trends on Computer Security: Cryptography, User Authentication, Denial of Service and Intrusion Detection. - Henning Urbat, Stefan Milius:
Varieties of Data Languages. - Shuxing Li:
On the weight distribution of second order Reed-Muller codes and their relatives. - Sambhav R. Jain, Albert Gural, Michael Wu, Chris Dick:
Trained Uniform Quantization for Accurate and Efficient Neural Network Inference on Fixed-Point Hardware. - Yang Luo, Guozhen She, Peng Cheng, Yongqiang Xiong:
BotGraph: Web Bot Detection Based on Sitemap. - Szilveszter Nádas, Balázs Varga, Illés Horváth, András Mészáros, Miklós Telek:
Multi timescale bandwidth profile and its application for burst-aware fairness. - Tom Eccles, Edward Hughes, János Kramár, Steven Wheelwright, Joel Z. Leibo:
Learning Reciprocity in Complex Sequential Social Dilemmas. - Clara Fernandez-Labrador, José M. Fácil, Alejandro Pérez-Yus, Cédric Demonceaux, Javier Civera, José Jesús Guerrero:
Corners for Layout: End-to-End Layout Recovery from 360 Images. - Alessandra Cervone, Chandra Khatri, Rahul Goel, Behnam Hedayatnia, Anu Venkatesh, Dilek Hakkani-Tür, Raefer Gabriel:
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering. - Diyuan Lu, Jochen Triesch:
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy. - Yifan Lu:
Injecting Software Vulnerabilities with Voltage Glitching. - Keran Li, Wenyuan Liao, Yaoting Lin:
A compact high order Alternating Direction Implicit method for three-dimensional acoustic wave equation with variable coefficient. - Andrey Nechesov:
Semantic programming: method Δ0p-enrichments and polynomial computable fixed points. - Arun Sai Suggala, Praneeth Netrapalli:
Online Non-Convex Learning: Following the Perturbed Leader is Optimal. - João Eduardo Montandon, Luciana Lourdes Silva, Marco Túlio Valente:
Identifying Experts in Software Libraries and Frameworks among GitHub Users. - Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson:
Exact Gaussian Processes on a Million Data Points. - Qurrat-Ul-Ain Nadeem, Abla Kammoun, Anas Chaaban, Mérouane Debbah, Mohamed-Slim Alouini
Asymptotic Analysis of Large Intelligent Surface Assisted MIMO Communication. - Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat:
Hyper-Parameter Sweep on AlphaZero General. - Vimalkumar Jeyakumar, Omid Madani, Ali Parandeh, Ashutosh Kulshreshtha, Weifei Zeng, Navindra Yadav:
ExplainIt! - A declarative root-cause analysis engine for time series data (extended version). - Ninareh Mehrabi, Fred Morstatter, Nanyun Peng, Aram Galstyan:
Debiasing Community Detection: The Importance of Lowly-Connected Nodes. - Abdelrahman M. Ibrahim, Ahmed A. Zewail, Aylin Yener:
Device-to-Device Coded Caching with Distinct Cache Sizes. - Tongtong Zhao, Yuxiao Yan, Jinjia Peng, Huibing Wang, Xianping Fu:
Mask-guided Style Transfer Network for Purifying Real Images. - Janis Stolzenwald, Walterio W. Mayol-Cuevas:
Rebellion and Obedience: The Effects of Intention Prediction in Cooperative Handheld Robots. - Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. - Trinh Van Chien, Emil Björnson, Erik G. Larsson:
Sum Spectral Efficiency Maximization in Massive MIMO Systems: Benefits from Deep Learning. - Fabio L. Traversa:
Aircraft Loading Optimization: MemComputing the 5th Airbus Problem. - Arun Sai Suggala, Kush Bhatia, Pradeep Ravikumar, Prateek Jain:
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression. - Junyu Cao, Wei Sun:
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. - Kasra Yazdani, Matthew T. Hale:
Error Bounds and Guidelines for Privacy Calibration in Differentially Private Kalman Filtering. - Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson:
Interactive segmentation of medical images through fully convolutional neural networks. - Rafael S. Gonçalves, Maulik R. Kamdar, Mark A. Musen:
Aligning Biomedical Metadata with Ontologies Using Clustering and Embeddings. - Jake Wellens:
A tighter bound on the number of relevant variables in a bounded degree Boolean function. - Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati:
Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice. - Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David F. Fouhey, Ivan Laptev, Josef Sivic:
Cross-task weakly supervised learning from instructional videos. - Reynel Castrillón, Alejandro Acien, Juan Rafael Orozco-Arroyave, Aythami Morales, Jesús Francisco Vargas-Bonilla, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia, Álvaro Villegas:
Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease. - Olaf Witkowski, Takashi Ikegami:
How to Make Swarms Open-Ended? Evolving Collective Intelligence Through a Constricted Exploration of Adjacent Possibles. - Ruida Zhou, Chao Tian, Hua Sun, Tie Liu:
Capacity-Achieving Private Information Retrieval Codes from MDS-Coded Databases with Minimum Message Size. - Christopher Jenkins, Colin McDonald, Aaron Stump:
Elaborating Inductive Datatypes and Course-of-Values Pattern Matching to Cedille. - Judith Degen, Robert X. D. Hawkins, Caroline Graf, Elisa Kreiss, Noah D. Goodman:
When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions. - Yuan-Yen Tai, Mohamed F. Mansour:
Audio Watermarking over the Air With Modulated Self-Correlation. - Tianjiao Sun, Lawrence Mitchell, Kaushik Kulkarni, Andreas Klöckner, David A. Ham, Paul H. J. Kelly:
A study of vectorization for matrix-free finite element methods. - Enric Boix Adserà, Matthew S. Brennan, Guy Bresler:
The Average-Case Complexity of Counting Cliques in Erdős-Rényi Hypergraphs. - Kanishka Ganguly, Behzad Sadrfaridpour, Cornelia Fermüller, Yiannis Aloimonos:
Computational Tactile Flow for Anthropomorphic Grippers. - Martin Surkovský
MP net as Abstract Model of Communication for Message-passing Applications. - Mengjia Zhu, Thanh Nho Do, Elliot W. Hawkes, Yon Visell:
Fluidic Fabric Muscle Sheets for Wearable and Soft Robotics. - Kate Rakelly, Aurick Zhou, Deirdre Quillen, Chelsea Finn, Sergey Levine:
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables. - Tim Jaschek, Jaspreet S. Oberoi:
A Quantum Annealing-Based Approach to Extreme Clustering. - Pankaj K. Agarwal, Kyle Fox, Debmalya Panigrahi, Kasturi R. Varadarajan, Allen Xiao:
Faster Algorithms for the Geometric Transportation Problem. - Arshit Gupta, John Hewitt, Katrin Kirchhoff:
Simple, Fast, Accurate Intent Classification and Slot Labeling. - Oussama Abderrahmane Dambri, Soumaya Cherkaoui, Biswadeep Chakraborty:
Design and Evaluation of Self-Assembled Actin-Based Nano-Communication. - Ivor van der Hoog, Irina Kostitsyna, Maarten Löffler, Bettina Speckmann:
Preprocessing Ambiguous Imprecise Points. - Gray Stanton, Athirai Aravazhi Irissappane:
GANs for Semi-Supervised Opinion Spam Detection. - Erik C. Rye, Robert Beverly:
Sundials in the Shade: An Internet-wide Perspective on ICMP Timestamps. - Nan Wu, Jason Phang, Jungkyu Park
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. - Juan C. Roldán, Patricia Jiménez, Rafael Corchuelo:
On Extracting Data from HTML Tables. - Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox:
Prospection: Interpretable Plans From Language By Predicting the Future. - Shigeru Furuichi, Kenjiro Yanagi, Ken Kuriyama:
Note on bounds for symmetric divergence measures. - Fan Zeng, Adam Jacobson, David Smith, Nigel Boswell, Thierry Peynot, Michael Milford:
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles. - Shigeru Furuichi, Nicusor Minculete:
Inequalities related to some types of entropies and divergences. - Tushant Jha, Yair Zick:
A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts. - Mohammad Fahim, Viveck R. Cadambe:
Numerically Stable Polynomially Coded Computing. - Nils Smit-Anseeuw, C. David Remy, Ram Vasudevan:
Walking with Confidence: Safety Regulation for Full Order Biped Models. - Shahin Shahrampour, Soheil Kolouri:
On Sampling Random Features From Empirical Leverage Scores: Implementation and Theoretical Guarantees. - Ali Dehghan, Amir H. Banihashemi:
On Computing the Number of Short Cycles in Bipartite Graphs Using the Spectrum of the Directed Edge Matrix. - Chawin Sitawarin, David A. Wagner:
On the Robustness of Deep K-Nearest Neighbors. - Sourav Mukherjee
Indexes in Microsoft SQL Server. - Brent Griffin, Victoria Florence, Jason J. Corso:
Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot Platform. - Tomohito Fujii, Shuji Kijima:
Any Finite Distributive Lattice is Isomorphic to the Minimizer Set of an M♮-Concave Set Function. - Anant Gupta, Atul Ingle, Andreas Velten, Mohit Gupta:
Photon-Flooded Single-Photon 3D Cameras. - Mehrdad Ghadiri, Mark Schmidt:
Distributed Maximization of "Submodular plus Diversity" Functions for Multi-label Feature Selection on Huge Datasets. - Xiaotong Chen, Rui Chen, Zhiqiang Sui, Zhefan Ye, Yanqi Liu, R. Iris Bahar
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments. - Omid Alemi, Philippe Pasquier:
Machine Learning for Data-Driven Movement Generation: a Review of the State of the Art. - Yangjia Li, Dominique Unruh:
Quantum Relational Hoare Logic with Expectations. - Liyong Lin, Yuting Zhu, Rong Su:
Towards Bounded Synthesis of Resilient Supervisors Against Actuator Attacks. - Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang:
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. - Hossein Falsafain, Mohammad Tamannaei:
A Novel Dynamic Programming Approach to the Train Marshalling Problem. - Seongok Ryu, Yongchan Kwon, Woo Youn Kim:
Uncertainty quantification of molecular property prediction with Bayesian neural networks. - Alon Eden, Michal Feldman, Amos Fiat, Kira Goldner, Anna R. Karlin:
Combinatorial Auctions with Interdependent Valuations: SOS to the Rescue. - Shuang Wu
Convolution with even-sized kernels and symmetric padding. - Timothy M. Chan:
Dynamic Geometric Data Structures via Shallow Cuttings. - Dongsheng Wang, Qiuchi Li, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings. - Gaurang Naik, Biplav Choudhury, Jung-Min Park:
IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications. - Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila:
Modelling Graph Errors: Towards Robust Graph Signal Processing. - Casper Hansen, Christian Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking. - Christian Hansen, Casper Hansen, Stephen Alstrup, Jakob Grue Simonsen, Christina Lioma:
Modelling Sequential Music Track Skips using a Multi-RNN Approach. - Kui Liu, Anil Koyuncu, Dongsun Kim, Tegawendé F. Bissyandé:
TBar: Revisiting Template-based Automated Program Repair. - Sumanta Kumar Das:
Modeling Intelligent Decision Making Command And Control Agents: An Application to Air Defense. - Steven Carr, Nils Jansen, Ralf Wimmer, Alexandru Constantin Serban, Bernd Becker, Ufuk Topcu:
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks. - Alfonso de la Vega, Diego García-Saiz, Marta E. Zorrilla, Pablo Sánchez:
How Far are we from Data Mining Democratisation? A Systematic Review. - Jaime Gutierrez, Jorge Jiménez Urroz:
On some classes of irreducible polynomials. - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Left-to-Right Dependency Parsing with Pointer Networks. - Jonggu Kim, Jong-Hyeok Lee:
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding. - Jerry Lonlac, Saïd Jabbour, Engelbert Mephu Nguifo
Extracting Frequent Gradual Patterns Using Constraints Modeling. - Sam Scholefield, Lynsay A. Shepherd:
Gamification Techniques for Raising Cyber Security Awareness. - Alessio Sarullo, Tingting Mu:
On Class Imbalance and Background Filtering in Visual Relationship Detection. - Pierre Roy, François Pachet:
Smart Edition of MIDI Files. - Marin Orsic, Ivan Kreso, Petra Bevandic, Sinisa Segvic:
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images. - Wisdom C. Agboh, Daniel Ruprecht, Mehmet Remzi Dogar:
Combining Coarse and Fine Physics for Manipulation using Parallel-in-Time Integration. - Jiasong Wu, Ling Xu, Youyong Kong, Lotfi Senhadji, Huazhong Shu:
Deep Octonion Networks. - Jonathan V. Williams, Carola-Bibiane Schönlieb
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC). - Ying Fu, Meng Ren, Fuchen Ma, Yu Jiang, Heyuan Shi, Jiaguang Sun:
EVMFuzz: Differential Fuzz Testing of Ethereum Virtual Machine. - Andreas Christ, Franz Quint:
Artificial Intelligence : from Research to Application ; the Upper-Rhine Artificial Intelligence Symposium (UR-AI 2019). - Philipp Kindermann, Tamara Mchedlidze, Thomas Schneck, Antonios Symvonis:
Drawing planar graphs with few segments on a polynomial grid. - Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr:
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. - Cláudio Rebelo de Sá, Paulo J. Azevedo
Preference rules for label ranking: Mining patterns in multi-target relations. - Herbert Edelsbrunner, Ziga Virk, Hubert Wagner:
Topological Data Analysis in Information Space. - Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Eduardo Paluzo-Hidalgo:
Representative Datasets: The Perceptron Case. - Aaron D. Sterling:
Ontology of Card Sleights. - Monica Perusquía-Hernández, David Antonio Gómez Jáuregui, Marisabel Cuberos-Balda, Diego Paez-Granados:
Robot mirroring: A framework for self-tracking feedback through empathy with an artificial agent representing the self. - Yu Deng, Jiaolong Yang, Sicheng Xu, Dong Chen, Yunde Jia, Xin Tong:
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set. - Miroslav Bures, Bestoun S. Ahmed, Kamal Z. Zamli:
Prioritized Process Test: An Alternative to Current Process Testing Strategies. - Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj:
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection. - Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell:
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. - Chris Beeler, Uladzimir Yahorau, Rory Coles, Kyle Mills, Stephen Whitelam, Isaac Tamblyn:
Optimizing thermodynamic trajectories using evolutionary reinforcement learning. - Maurice Quach
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression. - Pramuditha Perera, Ramesh Nallapati, Bing Xiang:
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations. - Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Marcondes Cesar Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao:
Single Image Deraining: A Comprehensive Benchmark Analysis. - Mohammad Reza Amini, Xun Gong, Yiheng Feng, Hao Wang, Ilya V. Kolmanovsky
Sequential Optimization of Speed, Thermal Load, and Power Split in Connected HEVs. - Ti Ti Nguyen, Vu Nguyen Ha, Long Bao Le, Robert Schober:
Joint Data compression and Computation offloading in Hierarchical Fog-Cloud Systems. - Santosh S. Vempala, Andre Wibisono:
Rapid Convergence of the Unadjusted Langevin Algorithm: Log-Sobolev Suffices. - Slobodan Mitrovic, Ruzica Piskac, Viktor Kuncak:
Identifying Maximal Non-Redundant Integer Cone Generators. - Jérôme Leroux, Sylvain Schmitz:
Reachability in Vector Addition Systems is Primitive-Recursive in Fixed Dimension. - Erik Stauffer, Andy Wang, Nihar Jindal:
Deep Learning for the Degraded Broadcast Channel. - Dmitry Kuznichov, Alon Zvirin, Yaron Honen, Ron Kimmel:
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants. - Xiangyu Ke, Arijit Khan, Mohammad Al Hasan, Rojin Rezvansangsari:
Budgeted Reliability Maximization in Uncertain Graphs. - Heng Yang, Luca Carlone:
A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates. - Zhanchao Huang, Jianlin Wang:
DC-SPP-YOLO: Dense Connection and Spatial Pyramid Pooling Based YOLO for Object Detection. - Yoshinori Umetsu, Yugo Nakamura
EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables. - Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst:
A Graph-structured Dataset for Wikipedia Research. - Ryan James Caverly, James Richard Forbes:
LMI Properties and Applications in Systems, Stability, and Control Theory. - Xiaotian Yu:
Contextual Bandits with Random Projection. - Vincent Cohen-Addad, Éric Colin de Verdière, Dániel Marx, Arnaud de Mesmay:
Almost Tight Lower Bounds for Hard Cutting Problems in Embedded Graphs. - Rui Gao, Filip Tronarp, Simo Särkkä:
Iterated Extended Kalman Smoother-based Variable Splitting for L1-Regularized State Estimation. - Nazmus Sakib, Hengshuai Yao, Hong Zhang:
Reinforcing Classical Planning for Adversary Driving Scenarios. - Dariush Fooladivanda, Catherine Rosenberg:
Joint User Association and Resource Allocation in Heterogeneous Cellular Networks: Comparison of Two Modeling Approaches. - Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard, Stanley H. Chan, Edward T. Reehorst, Philip Schniter:
Plug and play methods for magnetic resonance imaging. - Michael J. Mior, Alexander G. Ororbia II:
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas. - Alberto Riminucci
Fast learning synapses with molecular spin valves via selective magnetic potentiation. - Patrick Geneva, James Maley, Guoquan Huang:
An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM. - Gennaro Notomista, Siddharth Mayya, Seth Hutchinson, Magnus Egerstedt:
An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems. - Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. - Soon-Seo Park, Young-Jin Park, Han-Lim Choi:
Online Gaussian Process State-Space Models: Learning and Planning for Partially Observable Dynamical Systems. - Christos Katsanos, Nikolaos K. Tselios, Nikolaos M. Avouris, Stavros N. Demetriadis, Ioannis Stamelos, Lefteris Angelis:
Cross-study Reliability of the Open Card Sorting Method. - John Lawrence Nazareth:
Numerical Algorithmic Science and Engineering within Computer Science: Rationale, Foundations and Organization. - Mohammad Nayeem Teli, Bruce A. Draper, J. Ross Beveridge:
Face Detection in Repeated Settings. - Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang:
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. - Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio:
Online continual learning with no task boundaries. - (Withdrawn) Performance Measurement for Deep Bayesian Neural Network.
- Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault:
Probing the Need for Visual Context in Multimodal Machine Translation. - Lieuwe B. Leene, Shiva Letchumanan, Timothy G. Constandinou:
A 68 uW 31 kS/s Fully-Capacitive Noise-Shaping SAR ADC with 102 dB SNDR. - Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang:
Im2Pencil: Controllable Pencil Illustration from Photographs. - Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh:
Addressing Temporal Variations in Qubit Quality Metrics for Parameterized Quantum Circuits. - Yilun Du, Igor Mordatch:
Implicit Generation and Generalization in Energy-Based Models. - Xiang Wu, Ruiqi Guo, David Simcha, Dave Dopson, Sanjiv Kumar:
Efficient Inner Product Approximation in Hybrid Spaces. - Constantinos Chamzas, Anshumali Shrivastava, Lydia E. Kavraki:
Using Local Experiences for Global Motion Planning. - Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington:
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving. - Haihao Lu, Sai Praneeth Karimireddy, Natalia Ponomareva, Vahab S. Mirrokni:
Accelerating Gradient Boosting Machine. - Violeta Karyofylli
Simplex space-time meshes in thermally coupled two-phase flow simulations of mold filling. - Ankur Sarker, Haiying Shen, Mizanur Rahman, Mashrur Chowdhury, Kakan C. Dey, Fangjian Li, Yue Wang, Husnu S. Narman:
A Review of Sensing and Communication, Human Factors, and Controller Aspects for Information-Aware Connected and Automated Vehicles. - Dafydd Gibbon:
CRAFT: A multifunction online platform for speech prosody visualisation. - Massimiliano Di Ventra, Igor V. Ovchinnikov:
Digital Memcomputing: from Logic to Dynamics to Topology. - Nicolò Frisiani, Alexis Laignelet, Batuhan Güler:
Combination of multiple Deep Learning architectures for Offensive Language Detection in Tweets. - Hoang Minh Le, Cameron Voloshin, Yisong Yue:
Batch Policy Learning under Constraints. - Gerhard Wohlgenannt, Artemii Babushkin, Denis Romashov, Igor Ukrainets, Anton Maskaykin, Ilya Shutov:
Russian Language Datasets in the Digitial Humanities Domain and Their Evaluation with Word Embeddings. - Chen Sun, Jean M. Uwabeza Vianney, Dongpu Cao:
Affordance Learning In Direct Perception for Autonomous Driving. - Nirupam Gupta, Nitin H. Vaidya:
Byzantine Fault Tolerant Distributed Linear Regression. - Guillaume Saint-Jacques, Maneesh Varshney, Jeremy Simpson, Ya Xu:
Using Ego-Clusters to Measure Network Effects at LinkedIn. - Aitor Arronte Alvarez, Francisco Gómez-Martin:
Distributed Vector Representations of Folksong Motifs. - Hardi M. Mohammed, Shahla U. Umar, Tarik A. Rashid:
A Systematic and Meta-analysis Survey of Whale Optimization Algorithm. - Jaroslav Vitku, Petr Dluhos
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World. - Leixin Zhou, Wenxiang Deng, Xiaodong Wu:
Robust Image Segmentation Quality Assessment without Ground Truth. - Matt Jordan, Justin Lewis, Alexandros G. Dimakis:
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes. - Christian M. Fuchs, Nadia Murillo, Aske Plaat, Erik van der Kouwe, Daniel Harsono, Todor P. Stefanov:
Fault-Tolerant Nanosatellite Computing on a Budget. - Sangjae Bae, Yongkeun Choi, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura:
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. - Sameen Maruf, André F. T. Martins, Gholamreza Haffari:
Selective Attention for Context-aware Neural Machine Translation. - Roozbeh Yousefzadeh, Dianne P. O'Leary:
Interpreting Neural Networks Using Flip Points. - Richard Cheng, Gábor Orosz, Richard M. Murray, Joel W. Burdick:
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks. - Umut A. Acar, Daniel Anderson, Guy E. Blelloch, Laxman Dhulipala:
Parallel Batch-Dynamic Graph Connectivity. - Tao Wang:
A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain. - Seyyedali Hosseinalipour, Jiayu Mao, Do Young Eun, Huaiyu Dai:
Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks. - Michelle L. Blom, Peter J. Stuckey, Vanessa Teague:
Risk-Limiting Audits for IRV Elections. - Ruigang Wang, Ian R. Manchester:
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. - Aleix Cambray, Norbert Podsadowski:
Bidirectional Recurrent Models for Offensive Tweet Classification. - Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer:
Networks for Joint Affine and Non-parametric Image Registration. - Md. Sazzad Hossain
Prostate Segmentation from Ultrasound Images using Residual Fully Convolutional Network. - Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye:
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. - Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani:
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration. - John P. Alsterda, Matthew Brown, J. Christian Gerdes:
Contingency Model Predictive Control for Automated Vehicles. - Eric Kubischta
Semantic Security on Wiretap Channels using Universal Hashing with Fading Applications. - Phuong Cao:
On Preempting Advanced Persistent Threats Using Probabilistic Graphical Models. - Chaoqiang Liu, Hui Ji, Anqi Qiu:
Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data. - Jongbin Won, Jong-Woong Park, Do-Soo Moon:
Non-target Structural Displacement Measurement Using Reference Frame Based Deepflow. - Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh:
Towards Robust Curve Text Detection with Conditional Spatial Expansion. - Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin:
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation. - Harbi AlMahafzah, Mohammad Imran, H. D. Supreetha Gowda:
Parametic Classification of Handvein Patterns Based on Texture Features. - Jing Yang, Kai Chen, Xiaohu Ge, Yonghui Li, Lin Tian:
Neural Networks in Hybrid Precoding for Millimeter Wave Massive MIMO Systems. - Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. - Thanh Son Lam Nguyen, Guillaume Jourjon, Maria Potop-Butucaru, Kim Thai:
Impact of network delays on Hyperledger Fabric. - Vipul Gupta, Swanand Kadhe, Thomas A. Courtade, Michael W. Mahoney, Kannan Ramchandran:
OverSketched Newton: Fast Convex Optimization for Serverless Systems. - Chun-Ren Phang, Chee-Ming Ting, Fuad Noman
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network. - Tianxin Feng, Ganggang Ma, Jie Xu:
Cognitive Wireless Power Transfer in the Presence of Reactive Primary Communication User. - Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner:
Learning Disentangled Representations of Satellite Image Time Series. - Violeta Karyofylli
Simplex space-time meshes in two-phase flow simulations. - Jinshi Yu, Chao Li, Qibin Zhao, Guoxu Zhou:
Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. - Uriel Singer, Ido Guy, Kira Radinsky:
Node Embedding over Temporal Graphs. - Rui Lu, Menghan Zhou, Anlong Ming, Yu Zhou:
Context-Constrained Accurate Contour Extraction for Occlusion Edge Detection. - Joshua Achiam, Ethan Knight, Pieter Abbeel:
Towards Characterizing Divergence in Deep Q-Learning. - Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen:
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection. - Fady Massarwi, Pablo Antolin, Gershon Elber:
Volumetric Untrimming: Precise decomposition of trimmed trivariates into tensor products. - Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram. - Tao Bi, Yiyi Zhang, Chongyang Wang, Amid Ayobi:
Characterizing HCI Research in China: Streams, Methodologies and Future Directions. - Xavier J. A. Bellekens, Gayan Jayasekara, Hanan Hindy, Miroslav Bures, David Brosset, Christos Tachtatzis, Robert C. Atkinson:
From Cyber-Security Deception To Manipulation and Gratification Through Gamification. - Hongliang Lai, Lili Shen:
Multi-adjoint concept lattices via quantaloid-enriched categories. - Lin Xu, Han Sun, Yuai Liu:
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition. - Marco Di Renzo, Mérouane Debbah, Dinh Thuy Phan Huy, Alessio Zappone, Mohamed-Slim Alouini, Chau Yuen, Vincenzo Sciancalepore, George C. Alexandropoulos, Jakob Hoydis, Haris Gacanin, Julien de Rosny, Ahcène Bounceur, Geoffroy Lerosey, Mathias Fink:
Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come. - Yahui Sun:
Solving the Steiner Tree Problem in Graphs using Physarum-inspired Algorithms. - Aboobucker Ilmudeen, Yukun Bao:
Mediating role of managing information technology and its impact on firm performance: insight from China. - Henrique Becker
An empirical analysis of exact algorithms for the unbounded knapsack problem. - Sebastian Höppner, Bernhard Vogginger, Yexin Yan, Andreas Dixius, Stefan Scholze, Johannes Partzsch, Felix Neumaerker, Stephan Hartmann, Stefan Schiefer, Georg Ellguth, Love Cederstroem, Luis A. Plana, Jim D. Garside, Steve B. Furber, Christian Mayr:
Dynamic Power Management for Neuromorphic Many-Core Systems. - Dennis J. N. J. Soemers, Éric Piette, Cameron Browne:
Biasing MCTS with Features for General Games. - Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié:
The CASE Dataset of Candidate Spaces for Advert Implantation. - Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen:
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. - Roswitha Bammer, Anna Breger, Monika Dörfler, Pavol Harár
Machines listening to music: the role of signal representations in learning from music. - Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen:
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer. - Xu Du, Alexander Engelmann, Yuning Jiang, Timm Faulwasser, Boris Houska:
Distributed State Estimation for AC Power Systems using Gauss-Newton ALADIN. - Lukas Hoyer, Patrick Kesper, Volker Fischer:
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. - Sayed Chhattan Shah:
An Energy-Efficient Resource Management System for a Mobile Ad Hoc Cloud. - Alex Bird, Christopher K. I. Williams, Christopher Hawthorne:
Multi-Task Time Series Analysis applied to Drug Response Modelling. - Jithin Jagannath, Sean Furman, Anu Jagannath, Luther Ling, Andrew Burger, Andrew L. Drozd:
HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks. - Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar:
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval). - Silvia Bonomi, Giovanni Farina, Sébastien Tixeuil:
Multi-hop Byzantine Reliable Broadcast Made Practical. - Antonia Nicolaou, Natalie Temene, Charalampos Sergiou, Chryssis Georgiou, Vasos Vassiliou:
Utilizing Mobile Nodes for Congestion Control in Wireless Sensor Networks. - Panagiotis Tsakanikas, Lemonia-Christina Fengou, Evanthia Manthou, Alexandra Lianou, Efstathios Z. Panagou, George-John E. Nychas:
A unified spectra analysis workflow for the assessment of microbial contamination of ready to eat green salads: Comparative study and application of non-invasive sensors. - Matthew England, Russell J. Bradford, James H. Davenport:
Cylindrical Algebraic Decomposition with Equational Constraints. - Faranak Sobhani, Umberto Straccia
Towards a Forensic Event Ontology to Assist Video Surveillance-based Vandalism Detection. - Ram Prasad Padhy, Shahzad Ahmad, Sachin Verma, Pankaj Kumar Sa, Sambit Bakshi:
Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning. - Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen:
Subgraph Networks with Application to Structural Feature Space Expansion. - Maali Mnasri:
Recent advances in conversational NLP : Towards the standardization of Chatbot building. - Sung Kim, Visvesh Sathe:
Bandwidth Extension on Raw Audio via Generative Adversarial Networks. - Juan Maroñas Molano, Roberto Paredes, Daniel Ramos:
Generative Models For Deep Learning with Very Scarce Data. - Devon R. Graham, Siamak Ravanbakhsh:
Deep Models for Relational Databases. - Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens:
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem. - Abhiram Gnanasambandam, Omar A. Elgendy, Jiaju Ma, Stanley H. Chan:
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor. - (Withdrawn) An Optimal Stable Selective Model Inversion for Nonminimum-phase Systems.
- Ji Zhao:
An Efficient Solution to Non-Minimal Case Essential Matrix Estimation. - Thomas W. Mitchel, Christian Wülker, Jin Seob Kim, Sipu Ruan, Gregory S. Chirikjian:
Quotienting Impertinent Camera Kinematics for 3D Video Stabilization. - Yiwei Sun, Zhen Gao, Hua Wang, Byonghyo Shim, Guan Gui, Guoqiang Mao, Fumiyuki Adachi:
Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems. - Engin Zeydan, Yekta Turk:
On the Impact of Satellite Communications over Mobile Networks: An Experimental Analysis. - Stefan Kollmannsberger, Massimo Carraturo, Alessandro Reali, Ferdinando Auricchio:
Accurate prediction of melt pool shapes in laser powder bed fusion by the non-linear temperature equation including phase changes - isotropic versus anisotropic conductivity. - Lixing Chen, Jie Xu:
Budget-constrained Edge Service Provisioning with Demand Estimation via Bandit Learning. - Joseph Geumlek, Kamalika Chaudhuri:
Profile-Based Privacy for Locally Private Computations. - Yang Lou, Shiu Yin Yuen, Guanrong Chen, Xin Zhang:
On-line Search History-assisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy. - Jiarong Lin, Luqi Wang, Fei Gao, Shaojie Shen, Fu Zhang:
Flying through a narrow gap using neural network: an end-to-end planning and control approach. - Nimish Awalgaonkar, Ilias Bilionis, Xiaoqi Liu, Panagiota Karava, Athanasios Tzempelikos:
Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints. - Oliver M. Gordon, P. D'Hondt, L. Knijff, S. Freeney, Filipe L. Q. Junqueira, Philip J. Moriarty, I. Swart:
Scanning Probe State Recognition With Multi-Class Neural Network Ensembles. - Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani:
Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges. - Diego Didona, Panagiota Fatourou, Rachid Guerraoui, Jingjing Wang, Willy Zwaenepoel:
Distributed Transactional Systems Cannot Be Fast. - Mubariz Zaffar, Ahmad Khaliq, Shoaib Ehsan, Michael Milford, Klaus D. McDonald-Maier:
Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions. - Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné:
A Principled Approach for Learning Task Similarity in Multitask Learning. - Behnam Malmir:
Exploratory studies of human gait changes using depth cameras and considering measurement errors. - Seong Hun Lee, Javier Civera:
Closed-Form Optimal Triangulation Based on Angular Errors. - Anastasios Tsiamis, George J. Pappas:
Finite Sample Analysis of Stochastic System Identification. - Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
PProCRC: Probabilistic Collaboration of Image Patches. - Sandip Roy, Mengran Xue:
Controllability-Gramian Submatrices for a Network Consensus Model. - Chaoxu Guo, Bin Fan, Jie Gu, Qian Zhang, Shiming Xiang, Véronique Prinet, Chunhong Pan:
Progressive Sparse Local Attention for Video object detection. - Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier:
Perturbed-History Exploration in Stochastic Linear Bandits. - Vidya Muthukumar, Kailas Vodrahalli, Anant Sahai:
Harmless interpolation of noisy data in regression. - Michele Pratusevich, Jason Chrisos, Shreyas Aditya:
Quantitative Depth Quality Assessment of RGBD Cameras At Close Range Using 3D Printed Fixtures. - Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards automatic construction of multi-network models for heterogeneous multi-task learning. - Lucas B. L. Souza, Eduardo Cunha Campos, Fernanda Madeiral, Klérisson V. R. Paixão, Adriano M. Rocha, Marcelo de Almeida Maia:
Bootstrapping Cookbooks for APIs from Crowd Knowledge on Stack Overflow. - Jun Jin, Laura Petrich, Shida He, Masood Dehghan, Martin Jägersand:
Long range teleoperation for fine manipulation tasks under time-delay network conditions. - Adam Kubany, Shimon Ben Ishay, Ruben-sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman:
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification. - Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu:
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation. - Jiexiong Tang, John Folkesson, Patric Jensfelt:
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction. - Seyyed Ali Hashemi, Carlo Condo, Marco Mondelli, Warren J. Gross:
Rate-Flexible Fast Polar Decoders. - Efrén Cruz Cortés
A Simulation Based Dynamic Evaluation Framework for System-wide Algorithmic Fairness. - Harish Doddi, Saurav Talukdar, Deepjyoti Deka, Murti V. Salapaka:
Exact Topology Learning in a Network of Cyclostationary Processes. - Sheng Jin
Multi-person Articulated Tracking with Spatial and Temporal Embeddings. - Xudong Chen:
Ensemble Observability of Bloch Equations with Unknown Population Density. - Surbhi Goel, Rina Panigrahy:
Learning Two layer Networks with Multinomial Activation and High Thresholds. - Ilke Demir
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding. - Ahmed Metwally, Chun-Heng Huang:
Scalable Similarity Joins of Tokenized Strings. - Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta:
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI. - Angela Bonifati, Ugo Comignani, Efthymia Tsamoura:
Repairing mappings under policy views. - Siddharth Patki, Andrea F. Daniele, Matthew R. Walter, Thomas M. Howard:
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions. - Sam Shleifer:
Low Resource Text Classification with ULMFit and Backtranslation. - Soheil Khorram, Melvin G. McInnis, Emily Mower Provost:
Trainable Time Warping: Aligning Time-Series in the Continuous-Time Domain. - Xiaolan Wang, Alexandra Meliou:
Explain3D: Explaining Disagreements in Disjoint Datasets. - Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. - Yan Zhang, Michael M. Zavlanos:
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus. - Rotem Manor, Ariel Barel, Alfred M. Bruckstein:
Local Interactions for Cohesive Flexible Swarms. - Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Deep Learning with Anatomical Priors: Imitating Enhanced Autoencoders in Latent Space for Improved Pelvic Bone Segmentation in MRI. - Isaac J. Sledge, José C. Príncipe:
Reduction of Markov Chains using a Value-of-Information-Based Approach. - Ashkan Sharabiani, Adam Bress, William L. Galanter, Rezvan Nazempour, Houshang Darabi:
A Computer-Aided System for Determining the Application Range of a Warfarin Clinical Dosing Algorithm Using Support Vector Machines with a Polynomial Kernel Function. - Marcos Martínez Romero, Martin J. O'Connor, Attila L. Egyedi, Debra Willrett, Josef Hardi, John Graybeal, Mark A. Musen:
Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases. - Shi Yin, Zhengqiang Zhang, Qinmu Peng, Xinge You:
Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network. - Zhongli Dong, Young Choon Lee, Albert Y. Zomaya:
Proofware: Proof of Useful Work Blockchain Consensus Protocol for Decentralized Applications. - Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. - Khalid Hasan, Xin-Wen Wu, Kamanashis Biswas, Khandakar Ahmed:
A Novel Framework for Software Defined Wireless Body Area Network. - Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David S. Doermann:
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning. - Chandan Pradhan, Ang Li
Robust Hybrid Precoding for Beam Misalignment in Millimeter-Wave Communications. - Stephen Zhen Gou, Yuyang Liu:
DQN with model-based exploration: efficient learning on environments with sparse rewards. - Li Huang, Dianbo Liu:
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records. - Alexander Gee, Hussein A. Abbass:
Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design. - Hao Lan, Yin Tong, Carla Seatzu, Jin Guo:
Verification of Detectability in Petri Nets Using Verifier Nets. - Rania Morsi, Vahid Jamali, Amelie Hagelauer, Derrick Wing Kwan Ng, Robert Schober:
Conditional Capacity and Transmit Signal Design for SWIPT Systems with Multiple Nonlinear Energy Harvesting Receivers. - Cristina Elena Turcu, Cornel Turcu, Iuliana Chiuchisan:
Blockchain and its Potential in Education. - Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano:
Tackling Unit Commitment and Load Dispatch Problems Considering All Constraints with Evolutionary Computation. - Supreeth Shastri, Melissa Wasserman, Vijay Chidambaram:
How Design, Architecture, and Operation of Modern Systems Conflict with GDPR. - Thomas Winters, Kory W. Mathewson:
Automatically Generating Engaging Presentation Slide Decks. - Fabien Bouquillon, Clément Ballabriga, Giuseppe Lipari, Smaïl Niar:
A WCET-aware cache coloring technique for reducing interference in real-time systems. - Hector Barco Cobalea, Iraia Oribe-Garcia, Maria Virginia Vargas Viedma, Cruz Enrique Borges, Cristina Martin Andonegui, Ainhoa Alonso-Vicario:
New methodology for facilitating the food wastage quantification. Identifying gaps and data inconsistencies. - Nirupam Gupta, Jonathan Katz, Nikhil Chopra:
Statistical Privacy in Distributed Average Consensus on Bounded Real Inputs. - Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang:
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures. - Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin:
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. - Ning Cai, Fei Shi, Dianlin Hu, Yang Chen:
A resnet-based universal method for speckle reduction in optical coherence tomography images. - Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations. - Teseo Schneider, Yixin Hu, Xifeng Gao, Jérémie Dumas, Denis Zorin, Daniele Panozzo:
A Large Scale Comparison of Tetrahedral and Hexahedral Elements for Finite Element Analysis. - Gene Louis Kim, Lenhart K. Schubert:
A Type-coherent, Expressive Representation as an Initial Step to Language Understanding. - Ismael Gutiérrez García, Ivan Molina Naizir:
Cliques in projective space and construction of Cyclic Grassmannian Codes. - Ivan Dario Jimenez Rodriguez, Taylor W. Killian, Sung-Hyun Son, Matthew C. Gombolay:
Interpretable Reinforcement Learning via Differentiable Decision Trees. - Robert B. Grupp, Rachel A. Hegeman, Ryan J. Murphy, Clayton P. Alexander, Yoshito Otake, Benjamin A. McArthur, Mehran Armand, Russell H. Taylor:
Pose Estimation of Periacetabular Osteotomy Fragments with Intraoperative X-Ray Navigation. - Kazuki Shimada, Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama, Kazuyoshi Yoshii, Tatsuya Kawahara:
Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition. - Weihuang Xu, Guohao Yu, Alina Zare, Brendan Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix B. Fritschi, Roser Matamala, Thomas E. Juenger:
Overcoming Small Minirhizotron Datasets Using Transfer Learning. - Benjamin Berg, Rein Vesilo, Mor Harchol-Balter:
heSRPT: Optimal Parallel Scheduling of Jobs With Known Sizes. - María F. Borge, Florin Dinu, Willy Zwaenepoel:
Understanding and taming SSD read performance variability: HDFS case study. - Tau Raphael Rasethuntsa, Sandeep Kumar, Manpreet Kaur:
A Comprehensive Performance Evaluation of a DF-Based Multi-Hop System Over α-κ-μ and α-κ-μ-Extreme Fading Channels. - Marcell Vazquez-Chanlatte
A Model Counter's Guide to Probabilistic Systems. - Shin-Yeh Tsai, Yiying Zhang:
A Double-Edged Sword: Security Threats and Opportunities in One-Sided Network Communication. - Pankaj K. Agarwal, Hsien-Chih Chang, Allen Xiao:
Efficient Algorithms for Geometric Partial Matching. - Xiaoguang Tu, Jian Zhao, Zihang Jiang, Yao Luo, Mei Xie, Yang Zhao, Linxiao He, Zheng Ma, Jiashi Feng:
Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning. - Hikmet Yildiz, Babak Hassibi:
Gabidulin Codes with Support Constrained Generator Matrices. - Jacob T. Grycel, Robert J. Walls:
A Random Number Generator Built from Repurposed Hardware in Embedded Systems. - Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Hiroshi Yamakawa:
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder. - Zehua Guo, Weikun Chen, Ya-Feng Liu, Yang Xu, Zhi-Li Zhang:
Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks. - Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng:
Few-shot Adaptive Faster R-CNN. - Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan:
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction. - Yeping Hu, Wei Zhan, Masayoshi Tomizuka:
Multi-modal Probabilistic Prediction of Interactive Behavior via an Interpretable Model. - Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Learning with Delayed Synaptic Plasticity. - Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto:
Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks. - Jan Seeger, Arne Bröring, Marc-Oliver Pahl, Ermin Sakic:
Rule-Based Translation of Application-Level QoS Constraints into SDN Configurations for the IoT. - Aupendu Kar, Prabir Kumar Biswas:
Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network. - Michael Felderer, Barbara Russo, Florian Auer:
On Testing of Data-Intensive Software Systems. - Davide Salzano, Davide Fiore, Mario di Bernardo:
Ratiometric control of cell populations endowed with synthetic toggle switches. - Maximilian Auer, Kai Osswald, Raphael Volz, Joerg Woidasky:
Artificial intelligence-based process for metal scrap sorting. - Ching-Hsiang Hsu, Yi-Jen Chiang, Chee Yap:
Rods and Rings: Soft Subdivision Planner for R^3 x S^2. - Alexander van der Grinten, Eugenio Angriman, Henning Meyerhenke:
Parallel Adaptive Sampling with almost no Synchronization. - Jie Zhou, Xingyi Cheng, Jinchao Zhang:
An end-to-end Neural Network Framework for Text Clustering. - Pekka Abrahamsson:
Commitment Nets in Software Process Improvement. - P. Balasubramanian, Douglas L. Maskell, Nikos E. Mastorakis:
Speed and Energy Optimised Quasi-Delay-Insensitive Block Carry Lookahead Adder. - Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Sampling Acquisition Functions for Batch Bayesian Optimization. - Atreyee Kundu:
Robust stability conditions for switched linear systems under restricted switching. - Wenqian Shen, Linglong Dai, Jianping An, Pingzhi Fan, Robert W. Heath Jr.:
Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO. - Gözde Gül Sahin, Clara Vania, Ilia Kuznetsov, Iryna Gurevych:
LINSPECTOR: Multilingual Probing Tasks for Word Representations. - Sanchito Banerjee:
L1 Adaptive Controller - Performance Analysis of the Inverse DC Gain Method. - Gözde Gül Sahin, Mark Steedman:
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages. - Robert Furber, Radu Mardare, Matteo Mio:
Probabilistic logics based on Riesz spaces. - Zhuotao Liu, Yuan Cao, Xuewu Zhang:
Managing Recurrent Virtual Network Updates in Multi-Tenant Datacenters: A System Perspective. - Erik Sy:
Surfing the Web quicker than QUIC via a shared Address Validation. - Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Factorised Representation Learning in Cardiac Image Analysis. - Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter H. N. de With:
Aggregated Deep Local Features for Remote Sensing Image Retrieval. - Andrei Arusoaie, Ionut Pistol:
Using SMT Solvers to Validate Models for AI Problems. - Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
Active-Code Replacement in the OODIDA Data Analytics Platform. - Suresh K. Damodaran, Paul D. Rowe:
Limitations on Observability of Effects in Cyber-Physical Systems. - Nattaporn Thongsri, Liang Shen, Yukun Bao:
Investigating factors affecting learners perception toward online learning evidence from ClassStart application in Thailand. - Elena Beretta, Antonio Santangelo, Bruno Lepri, Antonio Vetrò, Juan Carlos De Martin:
The invisible power of fairness. How machine learning shapes democracy. - Jing Hong, Yue Li, Yiran Xu, Chen Yuan, Hong Fan, Guangyi Liu, Renchang Dai:
Substation One-Line Diagram Automatic Generation and Visualization. - Viorel Mihai, Cristina Elena Hanganu, Grigore Stamatescu, Dan Popescu:
WSN and Fog Computing Integration for Intelligent Data Processing. - Ahmed Eleliemy, Florina M. Ciorba
Hierarchical Dynamic Loop Self-Scheduling on Distributed-Memory Systems Using an MPI+MPI Approach. - Julian Theis, Ilia Mokhtarian, Houshang Darabi:
Process Mining of Programmable Logic Controllers: Input/Output Event Logs. - Kristian Kersting, Jan Peters, Constantin A. Rothkopf:
Was ist eine Professur fuer Kuenstliche Intelligenz? - Gaudron Arthur:
Trial of an AI: Empowering people to explore law and science challenges. - Fabio Calefato, Filippo Lanubile, Nicole Novielli:
An empirical assessment of best-answer prediction models in technical Q&A sites. - Nan Kang, Nicolas Rivera:
Best-of-Three Voting on Dense Graphs. - Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta:
EMTk - The Emotion Mining Toolkit. - Giuseppe Iaffaldano, Igor Steinmacher, Fabio Calefato, Marco Aurélio Gerosa, Filippo Lanubile:
Why do developers take breaks from contributing to OSS projects? A preliminary analysis. - Paolo Alborno, Gualtiero Volpe, Maurizio Mancini, Radoslaw Niewiadomski, Stefano Piana, Antonio Camurri:
The Multi-Event-Class Synchronization (MECS) Algorithm. - Zhaoming Xie, Patrick Clary, Jeremy Dao, Pedro Morais, Jonathan W. Hurst, Michiel van de Panne:
Iterative Reinforcement Learning Based Design of Dynamic Locomotion Skills for Cassie. - Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez, Inés Contreras, Yara T. E. Lechanteur, Artin Domanian, Bram van Ginneken, Clara I. Sánchez:
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration. - Li Zhang, Wei Wang, Shijian Li, Gang Pan:
Monte Carlo Neural Fictitious Self-Play: Achieve Approximate Nash equilibrium of Imperfect-Information Games. - Sebastian Schiessl, Mikael Skoglund, James Gross:
NOMA in the Uplink: Delay Analysis with Imperfect CSI and Finite-Length Coding. - Connor H. McCurley, James Bocinsky, Alina Zare:
Comparison of Hand-held WEMI Target Detection Algorithms. - Chi Sun, Luyao Huang, Xipeng Qiu:
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence. - Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, Joseph E. Gonzalez, Ken Goldberg:
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering. - Christopher Solinas, Douglas Rebstock, Michael Buro:
Improving Search with Supervised Learning in Trick-Based Card Games. - M. Tarik Altuncu, Ayse Seyyide Kaptaner, Nur Sevencan:
Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul. - (Withdrawn) On the Importance of Video Action Recognition for Visual Lipreading.
- Jialun "Aaron" Jiang, Casey Fiesler, Jed R. Brubaker:
"The Perfect One": Understanding Communication Practices and Challenges with Animated GIFs. - Azeddine Gati, Fatma Ezzahra Salem, Ana Maria Galindo Serrano, Didier Marquet, Stéphane Le Masson, Thomas Rivera, Dinh Thuy Phan Huy, Zwi Altman, Jean-Baptiste Landre, Olivier Simon, Esther Le Rouzic, Fabrice Bourgart, Stéphane Gosselin, Marc Vautier, Eric Gourdin, Taoufik En-Najjary, Mamdouh El Tabach, Raluca-Maria Indre, Guillaume Gerard, Gwenaelle Delsart:
Key technologies to accelerate the ICT Green evolution - An operator's point of view. - Ghassan Samara, Mohammad Aljaidi:
Efficient energy, cost reduction, and QoS based routing protocol for wireless sensor networks. - Cody Griffith, Varoon Mathur, Catherine Lin, Kevin Zhu:
Understanding Childhood Vulnerability in The City of Surrey. - Viacheslav Dubeyko:
Anti-Turing Machine. - William Bentz, Dimitra Panagou:
A Hybrid Approach to Persistent Coverage in Stochastic Environments. - Zhen Zhao, Ashley Kleinhans, Gursharan Sandhu, Ishan Patel, K. P. Unnikrishnan:
Capsule Networks with Max-Min Normalization. - Gray Cortright Thomas
Compliance Shaping for Control of Strength Amplification Exoskeletons with Elastic Cuffs. - Matin Jafarian, Mohammad H. Mamduhi, Karl Henrik Johansson:
Stochastic phase-cohesiveness of discrete-time Kuramoto oscillators in a frequency-dependent tree network. - Jirí Kubalík, Jan Zegklitz, Erik Derner, Robert Babuska:
Symbolic Regression Methods for Reinforcement Learning. - Eduardo Montijano, Gabriele Oliva, Andrea Gasparri:
Distributed estimation and control of node centrality in undirected asymmetric networks. - Wenjie Li, Sharief M. A. Oteafy, Marwan Fayed, Hossam S. Hassanein:
Quality of Experience from Cache Hierarchies: Keep your low-bitrate close, and high-bitrate closer. - Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan Newman, Jed Irvine, Souti Chattopadhyay, Alan Fern, Margaret Burnett:
Explaining Reinforcement Learning to Mere Mortals: An Empirical Study. - Matthew Guzdial, Mark O. Riedl:
An Interaction Framework for Studying Co-Creative AI. - Mouhyemen Khan, Munzir Zafar, Abhijit Chatterjee:
Barrier Functions in Cascaded Controller: Safe Quadrotor Control. - Ton Chanh Le, Guolong Zheng, ThanhVu Nguyen:
SLING: Using Dynamic Analysis to Infer Program Invariants in Separation Logic. - Zhe Xu
Graph Temporal Logic Inference for Classification and Identification. - Xiao Hu, Ke Yi:
Instance and Output Optimal Parallel Algorithms for Acyclic Joins. - Sergey Edunov, Alexei Baevski, Michael Auli:
Pre-trained Language Model Representations for Language Generation. - Sankha Subhra Mullick, Shounak Datta, Swagatam Das:
Generative Adversarial Minority Oversampling. - Samuel Arcadinho, Paulo Mateus:
Time Series Imputation. - Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar:
Regularized Learning for Domain Adaptation under Label Shifts. - Chun-Hung Liu, Di-Chun Liang, Kwang-Cheng Chen, Rung-Hung Gau:
Ultra-Reliable and Low-Latency Communications Using Proactive Multi-cell Association. - Fengling Wang, Bowen Lin, Shujun Fu, Shiling Xie, Zhigang Zhao, Yuliang Li:
Fast LLMMSE filter for low-dose CT imaging. - Xiaoyu Chen, Xiaotian Lou, Lianfa Bai, Jing Han:
Residual Pyramid Learning for Single-Shot Semantic Segmentation. - Ningbo Yu, Wulin Zou:
Impedance control of a cable-driven SEA with mixed H2/H∞ synthesis. - Ningbo Yu, Wulin Zou, Yubo Sun:
Passivity guaranteed stiffness control with multiple frequency band specifications for a cable-driven series elastic actuator. - Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho, Elias P. Tsigaridas, Charles Wrampler, Jonathan D. Hauenstein, Benjamin B. Kimia, Anton Leykin, Tomás Pajdla:
Trifocal Relative Pose from Lines at Points and its Efficient Solution. - Yang Luo, Qingni Shen, Zhonghai Wu:
PML: An Interpreter-Based Access Control Policy Language for Web Services. - Jue Wang, Zhaoyang Zhang, Lajos Hanzo:
Joint Active User Detection and Channel Estimation in Massive Access Systems Exploiting Reed-Muller Sequences. - Jaejun Yoo, Youngjung Uh, Sanghyuk Chun, Byeongkyu Kang, Jung-Woo Ha:
Photorealistic Style Transfer via Wavelet Transforms. - Anh Nguyen:
Scene Understanding for Autonomous Manipulation with Deep Learning. - Xubo Lyu, Mo Chen:
TTR-Based Rewards for Reinforcement Learning with Implicit Model Priors. - Md Jahidul Islam, Youya Xia, Junaed Sattar:
Fast Underwater Image Enhancement for Improved Visual Perception. - Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang:
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. - Martin Fränzle, Karin Quaas, Mahsa Shirmohammadi, James Worrell:
Effective Definability of the Reachability Relation in Timed Automata. - Ruijie Quan, Xuanyi Dong, Yu Wu, Linchao Zhu, Yi Yang:
Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification. - Keng-Chi Liu, Yi-Ting Shen, Jan P. Klopp, Liang-Gee Chen:
What Synthesis is Missing: Depth Adaptation Integrated with Weak Supervision for Indoor Scene Parsing. - Luca Sanguinetti, Emil Björnson, Abla Kammoun:
Large-System Analysis of Massive MIMO with Optimal M-MMSE Processing. - Arushi Goel, Keng Teck Ma, Cheston Tan:
An End-to-End Network for Generating Social Relationship Graphs. - Yu Tsunoda, Yuichiro Fujiwara:
On the Maximum Number of Codewords of X-Codes of Constant Weight Three. - Vishnu TV, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. - Daiki Kimura, Minori Narita, Asim Munawar, Ryuki Tachibana:
Spatially-weighted Anomaly Detection with Regression Model. - Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Improving Adversarial Robustness via Guided Complement Entropy. - Alejandro Baldominos, Yago Saez:
Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learning. - Ismail Shahin:
Emotion Recognition based on Third-Order Circular Suprasegmental Hidden Markov Model. - Hyungjun Kim, Yulhwa Kim, Sungju Ryu, Jae-Joon Kim:
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function. - Max-Heinrich Laves, Sontje Ihler, Lüder Alexander Kahrs, Tobias Ortmaier:
Semantic denoising autoencoders for retinal optical coherence tomography. - Hao-Tong Ye, Kai-Ling Lo, Shang-Yu Su, Yun-Nung Chen:
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model. - Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu:
Feedback Network for Image Super-Resolution. - Wenceslao Shaw-Cortez, Denny Oetomo, Chris Manzie, Peter Choong:
Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping. - David Fuenmayor, Christoph Benzmüller:
Harnessing Higher-Order (Meta-)Logic to Represent and Reason with Complex Ethical Theories. - Pavel Surynek:
Multi-agent Path Finding with Continuous Time Viewed Through Satisfiability Modulo Theories (SMT). - NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou:
Preserving Differential Privacy in Adversarial Learning with Provable Robustness. - Omar A. Elgendy, Stanley H. Chan:
Color Filter Arrays for Quanta Image Sensors. - Haitao Zhang, Lingguo Meng, Xian Wei, Xiaoliang Tang, Xuan Tang, Xingping Wang, Bo Jin, Wei Yao:
1D-Convolutional Capsule Network for Hyperspectral Image Classification. - Zhao Zhou, Shufan Wu, Shuchen Kong, Yingbin Zheng, Hao Ye, Luhui Chen, Jian Pu:
Curve Text Detection with Local Segmentation Network and Curve Connection. - Zhixin Zhang, Xudong Chen, Jie Liu, Kaibo Zhou:
Rotated Feature Network for multi-orientation object detection. - Tejaswi K. C., Srikant Sukumar, Ravi N. Banavar:
Lyapunov-like functions for attitude control via feedback integrators. - Eric Angel, Evripidis Bampis:
Mechanism Design for Maximum Vectors. - Tingguang Li, Danny Ho, Chenming Li, Delong Zhu, Chaoqun Wang, Max Q.-H. Meng:
HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots. - Fabio N. Silva, Sergio Jiménez, George Dueñas:
Toward the Evaluation of Written Proficiency on a Collaborative Social Network for Learning Languages: Yask. - Xinshuo Weng, Kris Kitani:
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud. - Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. - Marcello Balduccini, Emily Leblanc:
Action-Centered Information Retrieval. - Yuzhe Ma, Xiaojin Zhu, Justin Hsu:
Data Poisoning against Differentially-Private Learners: Attacks and Defenses. - John D. Kelleher, Simon Dobnik:
Referring to the recently seen: reference and perceptual memory in situated dialog. - Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. - Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee:
Long Range Neural Navigation Policies for the Real World. - Hao Tang, Daniel R. Kim, Xiaohui Xie:
Automated pulmonary nodule detection using 3D deep convolutional neural networks. - Meryem M'hamdi, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings. - Hao Tang, Chupeng Zhang, Xiaohui Xie:
Automatic Pulmonary Lobe Segmentation Using Deep Learning. - Hao Tang, Xingwei Liu, Xiaohui Xie:
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction. - Saffet Vatansever, Ahmet Emir Dirik, Nasir D. Memon:
Detecting the Presence of ENF Signal in Digital Videos: a Superpixel based Approach. - Xiao Li, Calin Belta:
Temporal Logic Guided Safe Reinforcement Learning Using Control Barrier Functions. - Enmao Diao, Jie Ding, Vahid Tarokh:
Distributed Lossy Image Compression with Recurrent Networks. - Saffet Vatansever, Ahmet Emir Dirik, Nasir D. Memon:
Analysis of Rolling Shutter Effect on ENF based Video Forensics. - Hossein Rastgoftar, Ella M. Atkins:
Physics-Based Freely Scalable Continuum Deformation for UAS Traffic Coordination. - Andrew Hundt, Varun Jain, Gregory D. Hager:
sharpDARTS: Faster and More Accurate Differentiable Architecture Search. - Tim Smith:
A Characterization of Morphic Words with Polynomial Growth. - Boyang Hu, Qicheng Lin, Yao Zheng, Qiben Yan, Matthew Troglia, Qingyang Wang:
Characterizing Location-based Mobile Tracking in Mobile Ad Networks. - Lamei Zhang, Hongwei Dong, Bin Zou:
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework. - Linxiao Yang, Jun Fang, Huiping Duan, Hongbin Li:
Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing. - Nao Takano, Gita Alaghband:
SRGAN: Training Dataset Matters. - Kuljeet Kaur, Sahil Garg, Georges Kaddoum, François Gagnon, Neeraj Kumar, Syed Hassan Ahmed:
An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks. - Kanav Vats, Helmut Neher, Alexander Wong, David A. Clausi, John S. Zelek:
KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation. - (Withdrawn) Using RGB Image as Visual Input for Mapless Robot Navigation.
- Ali A. Nasir, Hoang Duong Tuan, Trung Quang Duong, H. Vincent Poor:
Full-Duplex MIMO-OFDM Communication with Self-Energy Recycling. - Vinay Kyatham, Prathosh A. P., Deepak Mishra, Tarun Kumar Yadav, Dheeraj Mundhra:
Variational Inference with Latent Space Quantization for Adversarial Resilience. - Dhanachandra Ningthoujam, Shweta Yadav, Pushpak Bhattacharyya, Asif Ekbal:
Relation extraction between the clinical entities based on the shortest dependency path based LSTM. - Laurentiu Piciu, Andrei Ionut Damian, Nicolae Tapus, Andrei Simion-Constantinescu, Bogdan Dumitrescu:
Deep recommender engine based on efficient product embeddings neural pipeline. - Ye Xia, Jinkyu Kim, John F. Canny, Karl Zipser, David Whitney:
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention. - Antonio Campello, Cong Ling, Jean-Claude Belfiore:
Semantically Secure Lattice Codes for Compound MIMO Channels. - (Withdrawn) A Unified Approach to Mitigate Voltage Jump Effects in Near Optimal Switching Surface Control of DC-DC Converters.
- Julia Gusak, Maksym Kholyavchenko
One time is not enough: iterative tensor decomposition for neural network compression. - (Withdrawn) Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections.
- Zhijie Deng, Yucen Luo, Jun Zhu:
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation. - Mahdi Cheraghchi, Ryan Gabrys, Olgica Milenkovic, João Ribeiro:
Coded trace reconstruction. - Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das:
Multi-Attribute Selectivity Estimation Using Deep Learning. - Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das:
Approximate Query Processing using Deep Generative Models. - Timothy Duff, Kathlén Kohn, Anton Leykin, Tomás Pajdla:
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility. - María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
A mixture of experts model for predicting persistent weather patterns. - Kao-Yueh Kuo
The Encoding and Decoding Complexities of Entanglement-Assisted Quantum Stabilizer Codes. - Tran Khanh Dang, Khanh T. K. Tran:
The Meeting of Acquaintances: A Cost-efficient Authentication Scheme for Light-weight Objects with Transient Trust Level and Plurality Approach. - Joel Brogan, Aparna Bharati
Needle in a Haystack: A Framework for Seeking Small Objects in Big Datasets. - María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez:
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. - Yiwei Li:
Generalization of k-means Related Algorithms. - Tommaso Dreossi, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
A Formalization of Robustness for Deep Neural Networks. - Muhammed Talo:
Convolutional Neural Networks for Multi-class Histopathology Image Classification. - Zachary Painter, Christina L. Peterson, Damian Dechev:
Lock-Free Transactional Adjacency List. - Mathijs Schuurmans, Pantelis Sopasakis, Panagiotis Patrinos:
Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. - Giovanni Interdonato, Hien Quoc Ngo, Pål K. Frenger, Erik G. Larsson:
Downlink Training in Cell-Free Massive MIMO: A Blessing in Disguise. - Matteo Turilli, Vivek Balasubramanian, André Merzky
Middleware Building Blocks for Workflow Systems. - Inmo Jang, Junyan Hu, Farshad Arvin, Joaquín Carrasco, Barry Lennox:
Omnipotent Virtual Giant for Remote Human-Swarm Interaction. - Reza Salkhordeh, Onur Mutlu, Hossein Asadi:
An Analytical Model for Performance and Lifetime Estimation of Hybrid DRAM-NVM Main Memories. - Sameh Hosny, Atilla Eryilmaz, Alhussein A. Abouzeid, Hesham El Gamal:
On the Performance of Mobility-Aware D2D Caching Networks. - Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez:
Truly Batch Apprenticeship Learning with Deep Successor Features. - Jonathan M. Spring, Phyllis Illari:
Review of human decision-making during computer security incident analysis. - Ortho Flint, Asanka Wickramasinghe, Jason Brasse, Christopher Fowler:
Determining satisfiability of 3-SAT in polynomial time. - Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu:
Residual Non-local Attention Networks for Image Restoration. - Arya D. McCarthy, Tongfei Chen, Seth Ebner:
An Exact No Free Lunch Theorem for Community Detection. - Yuyang Zhou
A cost-effective shuffling method against DDoS attacks using Moving Target Defense. - Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen:
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search. - Xinyu Hua, Mitko Nikolov, Nikhil Badugu, Lu Wang:
Argument Mining for Understanding Peer Reviews. - Mansi Goel, Ayush Agarwal, Deepak Thukral, Tanmoy Chakraborty:
Fiducia: A Personalized Food Recommender System for Zomato. - Keisuke Hagiwara, Yusuke Mukuta, Tatsuya Harada:
End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations. - Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. - Peng Xu, Denilson Barbosa:
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction. - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Recurrent Back-Projection Network for Video Super-Resolution. - Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata:
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. - Dwarikanath Mahapatra, Zongyuan Ge:
Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration. - Chunyang Feng, Yufeng Sun, Xin Li:
Iris R-CNN: Accurate Iris Segmentation in Non-cooperative Environment. - Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, Xuequan Lu
Weakly-Supervised Unconstrained Action Unit Detection via Feature Disentanglement. - Raehyun Kim, Hyunjae Kim, Janghyuk Lee, Jaewoo Kang:
Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. - Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin:
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. - Sheng You, Ning You, Minxue Pan:
PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. - Tasfia Shermin, M. Manzur Murshed, Shyh Wei Teng, Guojun Lu:
Depth Augmented Networks with Optimal Fine-tuning. - Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Pheng-Ann Heng:
SAC-Net: Spatial Attenuation Context for Salient Object Detection. - Pengfei Yao, Zheng Fang, Fan Wu, Yao Feng, Jiwei Li:
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image. - Dongwon Park, Jisoo Kim, Se Young Chun:
Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring. - Jesus Zarzar, Silvio Giancola, Bernard Ghanem
Efficient Tracking Proposals using 2D-3D Siamese Networks on LIDAR. - Kangxue Yin, Zhiqin Chen
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space. - Takashi Ikegawa:
Effect of payload size on goodput when message segmentations occur for wireless networks: Case of packet corruptions recovered by stop-and-wait protocol. - Mason Liu, Menglong Zhu, Marie White, Yinxiao Li, Dmitry Kalenichenko:
Looking Fast and Slow: Memory-Guided Mobile Video Object Detection. - Yinlong Liu, Xuechen Li, Manning Wang, Guang Chen, Zhijian Song, Alois C. Knoll:
A Novel Method for the Absolute Pose Problem with Pairwise Constraints. - Gary Mataev, Michael Elad, Peyman Milanfar:
DeepRED: Deep Image Prior Powered by RED. - Christoph Gote, Ingo Scholtes, Frank Schweitzer:
git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories. - Andrew Adamatzky, Florian Huber, Joerg Schnauss
Computing on actin bundles network. - Christoph Benzmüller, Xavier Parent, Leendert W. N. van der Torre:
Designing Normative Theories of Ethical Reasoning: Formal Framework, Methodology, and Tool Support. - Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto:
Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. - Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He:
Dual Variational Generation for Low-Shot Heterogeneous Face Recognition. - Haohao Hu, Marc Sons, Christoph Stiller:
Accurate Global Trajectory Alignment using Poles and Road Markings. - Luping Liu, Xiaohai He, Liang Liu, Lingbo Qing, Yong Fang, Jiayong Liu:
Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with Machine learning. - Yunhao Ba, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi:
Physics-based Neural Networks for Shape from Polarization. - Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang:
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation. - Emanuele Bellini, Florian Caullery, Philippe Gaborit, Marc Manzano, Víctor Mateu:
Improved Veron Identification and Signature Schemes in the Rank Metric. - Sami Jantunen, U. Rex Dumdum, Donald C. Gause:
Towards New Requirements Engineering Competencies. - Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif:
Robust Neural Networks using Randomized Adversarial Training. - Akshi Kumar, Aditi Sharma, Anshika Arora:
Anxious Depression Prediction in Real-time Social Data. - Wei Shen, Ziqiang Shi, Jun Sun:
Learning from Adversarial Features for Few-Shot Classification. - Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg:
Aligning Vector-spaces with Noisy Supervised Lexicons. - Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang:
Knowledge Aware Conversation Generation with Reasoning on Augmented Graph. - Pierre-Yves Oudeyer, George Kachergis, William Schueller:
Computational and Robotic Models of Early Language Development: A Review. - Atreyee Kundu, Debasish Chatterjee:
Robust matrix commutator conditions for stability of switched linear systems under restricted switching. - Mohamad Bin Abdull Halim, Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
Fog-assisted Caching Employing Solar Renewable Energy for Delivering Video on Demand Service. - Cristina Jácome, Johan Ravn, Einar J. Holsbø, Juan Carlos Aviles Solis, Hasse Melbye, Lars Ailo Bongo:
Convolutional neural network for breathing phase detection in lung sounds. - Yuanquan Hong, Xiaojun Jing, Hui Gao, Yuan He:
Fixed Region Beamforming using Frequency Diverse Subarray for Secure Mmwave Wireless Communications. - Byungsoo Kim, Tobias Günther:
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks. - Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting (Tim) Cheng, Jian Sun:
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. - John Baillieul:
Perceptual Control with Large Feature and Actuator Networks. - Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder:
On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity. - Søren Kejser Jensen, Torben Bach Pedersen, Christian Thomsen:
Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB. - Alejandro Pequeño-Zurro, Danish Shaikh, Iñaki Rañó:
Temporal changes in stimulus perception improve bio-inspired source seeking. - Ioannis Mavromatis, Andrea Tassi, Robert J. Piechocki
A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed. - Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss. - Fang-I Hsiao, Jui-Hsuan Kuo, Min Sun:
Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors. - Yang Liu:
Fine-tune BERT for Extractive Summarization. - Gary H. Merrill:
Ontology, Ontologies, and Science. - Abdelmoneim Amer Desouki, Michael Röder, Axel-Cyrille Ngonga Ngomo:
topFiberM: Scalable and Efficient Boolean Matrix Factorization. - Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. - Yassir Jedra, Alexandre Proutière:
Sample Complexity Lower Bounds for Linear System Identification. - Hee-Jin Yu, Chang-Hwan Son:
Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural Network. - Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li:
Noise-Tolerant Paradigm for Training Face Recognition CNNs. - (Withdrawn) Structured 2D Representation of 3D Data for Shape Processing.
- Anna Bogomolnaia
A simple Online Fair Division problem. - Charles D. Murray, Tobias Weinzierl:
Dynamically Adaptive FAS for an Additively Damped AFAC Variant. - Greg Morrisett, Shwetak N. Patel, Jennifer Rexford, Benjamin G. Zorn:
Evolving Academia/Industry Relations in Computing Research: Interim Report. - Shiyang Cheng, Michael M. Bronstein, Yuxiang Zhou, Irene Kotsia, Maja Pantic, Stefanos Zafeiriou:
MeshGAN: Non-linear 3D Morphable Models of Faces. - Max Whitby, Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Mirco Tribastone, Max Tschaikowski:
PID Control of Biochemical Reaction Networks. - Xiang Wu, Ruiqi Guo, Sanjiv Kumar, David Simcha:
Local Orthogonal Decomposition for Maximum Inner Product Search. - Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman:
The LogBarrier adversarial attack: making effective use of decision boundary information. - Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil:
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. - Jordi Bataller Mascarell:
Two Mutual Exclusion Algorithms for Shared Memory. - Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin:
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning. - Kedar S. Namjoshi, Richard J. Trefler:
Symmetry Reduction for the Local Mu-Calculus. - David Shah, Eddie Hung, Clifford Wolf, Serge Bazanski, Dan Gisselquist, Miodrag Milanovic:
Yosys+nextpnr: an Open Source Framework from Verilog to Bitstream for Commercial FPGAs. - Sidney Pontes-Filho, Stefano Nichele:
Towards a framework for the evolution of artificial general intelligence. - Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis
ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views. - Siwei Feng, Marco F. Duarte:
Few-Shot Learning-Based Human Activity Recognition. - Achim Gerstenberg, Martin Steinert:
Development and verification of a simulation for leveraging results of a human subjects programming experiment. - Umer Azfar, Costanza Catalano, Ludovic Charlier, Raphaël M. Jungers:
A linear bound on the k-rendezvous time for primitive sets of NZ matrices. - Waseem Abbas, David Masip Rodo:
Locomotion and gesture tracking in mice and small animals for neurosceince applications: A survey. - Jaime Spencer, Richard Bowden, Simon Hadfield:
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation. - Debayan Ganguly, Kingshuk Chatterjee, Kumar Sankar Ray:
Parallel communicating one-way reversible finite automata system. - Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen:
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. - Yuta Sakai
Second-Order Asymptotics of the Continuous-Time Poisson Channel. - Marise J. E. Westbroek, Peter R. King, Dimitri D. Vvedensky, Ronnie L. Schwede:
Pressure and flow statistics of Darcy flow from simulated annealing. - Gregory Moille, Qing Li, Xiyuan Lu, Kartik Srinivasan:
pyLLE: a Fast and User Friendly Lugiato-Lefever Equation Solver. - Li Wang, Yongbo Li, Xiangyang Xue:
CODA: Counting Objects via Scale-aware Adversarial Density Adaption. - Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani:
Real-Time Robotic Search using Hierarchical Spatial Point Processes. - Nathaniel Lahn, Sharath Raghvendra:
A Weighted Approach to the Maximum Cardinality Bipartite Matching Problem with Applications in Geometric Settings. - Xuan-Son Vu, Son N. Tran, Lili Jiang:
dpUGC: Learn Differentially Private Representation for User Generated Contents. - Nikolaus Correll, Ray Baughman, Richard M. Voyles, Lining Yao, Dan Inman:
Robotic Materials. - Zhihui Guo, Junjie Bai, Yi Lu, Xin Wang, Kunlin Cao, Qi Song, Milan Sonka, Youbing Yin:
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction. - Alexander Botros, Stephen L. Smith:
Computing a Minimal Set of t-Spanning Motion Primitives for Lattice Planners. - Jörn-Henrik Jacobsen, Jens Behrmann, Nicholas Carlini, Florian Tramèr, Nicolas Papernot:
Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness. - Mojtaba Vaezi, Gayan Amarasuriya, Yuanwei Liu, Ahmed Arafa, Fang Fang, Zhiguo Ding:
Interplay Between NOMA and Other Emerging Technologies: A Survey. - Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, Yanning Zhang:
Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution. - Adrian Loch, Cristina Cano, Gek Hong Sim, Arash Asadi, Xavier Vilajosana:
A Channel Measurement Campaign for mmWave Communication in Industrial Settings. - Jason Shuo Zhang, Mike Gartrell, Richard Han, Qin Lv, Shivakant Mishra:
GEVR: An Event Venue Recommendation System for Groups of Mobile Users. - Siyuan Qiao, Huiyu Wang, Chenxi Liu, Wei Shen, Alan L. Yuille:
Weight Standardization. - Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor:
Inverse Optimal Planning for Air Traffic Control. - Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro:
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. - Francisco Afonso Raposo
Learning Embodied Semantics via Music and Dance Semiotic Correlations. - Luke N. Kumar, Russell Greiner:
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach. - Margaret Martonosi, Martin Roetteler:
Next Steps in Quantum Computing: Computer Science's Role. - Muhamad Risqi Utama Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning. - Yunqi Zhao, Igor Borovikov, Ahmad Beirami, Jason Rupert, Caedmon Somers, Jesse Harder, Fernando de Mesentier Silva, John Kolen, Jervis Pinto, Reza Pourabolghasem, Harold Chaput, James Pestrak, Mohsen Sardari, Long Lin, Navid Aghdaie, Kazi A. Zaman:
Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI. - Yao-Hung Hubert Tsai, Santosh Kumar Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi:
Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph. - Fahimeh Hosseini, Hosein Fooladi, Mohammad Reza Samsami:
Recognizing Arrow Of Time In The Short Stories. - Hanan Shabana, Mikhail V. Volkov:
Using Sat solvers for synchronization issues in partial deterministic automata. - Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo:
Deep Learning for Localization in the Lung. - Zenna Tavares, Xin Zhang, Edgar Minaysan, Javier Burroni, Rajesh Ranganath, Armando Solar-Lezama:
The Random Conditional Distribution for Higher-Order Probabilistic Inference. - Luis A. Pineda:
The Mode of Computing. - Aleieldin Salem, Sebastian Banescu, Alexander Pretschner:
Don't Pick the Cherry: An Evaluation Methodology for Android Malware Detection Methods. - Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, Rachel Rudinger:
On Measuring Social Biases in Sentence Encoders. - Wenying Ji:
Simulation-Based Analytics for Fabrication Quality-Associated Decision Support. - Dmitry Kopitkov, Vadim Indelman:
General Probabilistic Surface Optimization and Log Density Estimation. - Dongrui Wu, Chin-Teng Lin, Jian Huang, Zhigang Zeng:
On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression. - Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman:
Spike-based primitives for graph algorithms. - David Hachuel, Akshay Jha, Deborah Estrin, Alfonso Martinez, Kyle Staller, Christopher Velez:
Augmenting Gastrointestinal Health: A Deep Learning Approach to Human Stool Recognition and Characterization in Macroscopic Images. - Kristopher Brown, David I. Spivak, Ryan Wisnesky:
Categorical Data Integration for Computational Science. - Felipe A. Louza, Guilherme P. Telles, Simon Gog, Liang Zhao:
Algorithms to compute the Burrows-Wheeler Similarity Distribution. - Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi:
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks. - Yuchen Zhang, Percy Liang:
Defending against Whitebox Adversarial Attacks via Randomized Discretization. - Zonglin Yang, Xinggang Wang:
Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical solution. - Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos:
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. - Qian Wang, Penghui Bu, Toby P. Breckon:
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition. - Qian Wang, Khalid N. Ismail, Toby P. Breckon:
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening. - Riley Simmons-Edler, Ben Eisner, Eric Mitchell, H. Sebastian Seung, Daniel D. Lee:
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies. - Adam Stager, Herbert G. Tanner, Erin E. Sparks:
Design and Construction of Unmanned Ground Vehicles for Sub-Canopy Plant Phenotyping. - Qing Ke:
An analysis of the evolution of science-technology linkage in biomedicine. - Emil Björnson, Luca Sanguinetti:
Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation. - Tao Chen:
On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison. - Andrea Lincoln, Adam Yedidia:
Faster Random k-CNF Satisfiability. - David Rohr, Thomas Stastny, Sebastian Verling, Roland Siegwart:
Attitude- and Cruise Control of a VTOL Tiltwing UAV. - Felix Stahlberg, Christopher Bryant, Bill Byrne:
Neural Grammatical Error Correction with Finite State Transducers. - Cumhur Erkan Tuncali, Georgios Fainekos:
Rapidly-exploring Random Trees-based Test Generation for Autonomous Vehicles. - Budhaditya Deb, Peter Bailey, Milad Shokouhi:
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder. - Mingqing Chen, Rajiv Mathews, Tom Ouyang, Françoise Beaufays:
Federated Learning Of Out-Of-Vocabulary Words. - Novella Bartolini, Ting He, Viviana Arrigoni, Annalisa Massini, Hana Khamfroush:
On Fundamental Bounds of Failure Identifiability by Boolean Network Tomography. - Cumhur Erkan Tuncali:
A Tutorial on Sim-ATAV: Simulation-based Adversarial Testing Framework for Autonomous Vehicles. - Shashank Srikanth, Junaid Ahmed Ansari, Karnik Ram R., Sarthak Sharma, J. Krishna Murthy, K. Madhava Krishna:
INFER: INtermediate representations for FuturE pRediction. - Roberto B. Di Renna, Rodrigo C. de Lamare:
Study of Activity-Aware Multiple Feedback Successive Interference Cancellation for Massive Machine-Type Communications. - Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu:
An Alarm System For Segmentation Algorithm Based On Shape Model. - Christian Kroer:
First-Order Methods with Increasing Iterate Averaging for Solving Saddle-Point Problems. - Zhuojia Shen
Restricting Control Flow During Speculative Execution with Venkman. - Akifumi Wachi:
Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving. - Takumi Nakane, Takuya Akashi, Xuequan Lu, Chao Zhang:
A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation. - Jiuxiang Gu, Shafiq R. Joty, Jianfei Cai, Handong Zhao, Xu Yang, Gang Wang:
Unpaired Image Captioning via Scene Graph Alignments. - Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil Martin Robertson, Jinqiao Wang:
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection. - HeeJae Jun, ByungSoo Ko, Youngjoon Kim, Insik Kim, Jongtack Kim:
Combination of Multiple Global Descriptors for Image Retrieval. - Chunzhi Gu, Xuequan Lu
Kernel-Free Image Deblurring with a Pair of Blurred/Noisy Images. - Xiaoxi Chelsy Xie, Isaac Johnson, Anne Gomez:
Detecting and Gauging Impact on Wikipedia Page Views. - Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, Wen-Mei Hwu:
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. - Abhishek Murthy, Himel Das, Md. Ariful Islam:
Robustness of Neural Networks to Parameter Quantization. - Yonggen Ling, Kaixuan Wang, Shaojie Shen:
Probabilistic Dense Reconstruction from a Moving Camera. - Denny Kusuma Hendraningrat, Muhammad Basit Shahab
Virtual User Pairing Non-Orthogonal Multiple Access in Downlink Coordinated Multipoint Transmission. - Hongyu Gong, Tarek Sakakini, Suma Bhat, Jinjun Xiong:
Document Similarity for Texts of Varying Lengths via Hidden Topics. - Iz Beltagy, Arman Cohan, Kyle Lo:
SciBERT: Pretrained Contextualized Embeddings for Scientific Text. - Conal Elliott:
Generalized Convolution and Efficient Language Recognition. - Yayu Peng, Yishen Wang, Xiao Lu, Haifeng Li, Di Shi, Zhiwei Wang, Jie Li:
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis. - Ahlem Aboud, Raja Fdhila, Adel M. Alimi:
Dynamic Multi Objective Particle Swarm Optimization based on a New Environment Change Detection Strategy. - Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng:
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data. - Qicheng Chang, Yishen Wang, Xiao Lu, Di Shi, Haifeng Li, Jiajun Duan, Zhiwei Wang:
Probabilistic Load Forecasting via Point Forecast Feature Integration. - Artemy Kolchinsky, Bernat Corominas-Murtra:
Decomposing information into copying versus transformation. - Chang Fu, Zhe Yu, Di Shi, Haifeng Li, Caisheng Wang, Zhiwei Wang, Jie Li:
Bayesian Estimation Based Parameter Estimation for Composite Load. - Mostafa Haghir Chehreghani:
On the Theory of Dynamic Graph Regression Problem. - R. Dharmarajan, D. Ramachandran:
On the tractability of the maximum independent set problem. - Wojciech Rytter, Wiktor Zuba:
Syntactic View of Sigma-Tau Generation of Permutations. - Lonce Wyse, Muhammad Huzaifah:
Conditioning a Recurrent Neural Network to synthesize musical instrument transients. - Yonggen Ling, Shaojie Shen:
High-Precision Online Markerless Stereo Extrinsic Calibration. - Miika Hannula, Lauri Hella:
Complexity Thresholds in Inclusion Logic. - Peter Bürgisser, Felipe Cucker, Josué Tonelli-Cueto:
Computing the Homology of Semialgebraic Sets. II: General formulas. - Cunxiang Wang, Yue Zhang, Feiliang Ren, Chenxu Zhao, Zhichao Lin, Tian Xie:
Domain Representation for Knowledge Graph Embedding. - Jia Luo, Didier El Baz:
A Dual Heterogeneous Island Genetic Algorithm for Solving Large Size Flexible Flow Shop Scheduling Problems on Hybrid multi-core CPU and GPU Platforms. - Julian Berberich, Frank Allgöwer:
A trajectory-based framework for data-driven system analysis and control. - Diana F. Sousa
A Silver Standard Corpus of Human Phenotype-Gene Relations. - Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN. - Jacob Nilsson, Fredrik Sandin, Jerker Delsing:
Interoperability and machine-to-machine translation model with mappings to machine learning tasks. - Hou Ian, Biao Chen, Wei Zhao:
A practicable guide to the quantum computation architectures. - Stavros Konstantinidis, Mitja Mastnak, Juraj Sebej:
Partitioning a Symmetric Rational Relation into Two Asymmetric Rational Relations. - Jia Luo, Shigeru Fujimura, Didier El Baz:
GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem. - Zheng-Zhi Sun, Cheng Peng, Ding Liu, Shi-Ju Ran, Gang Su:
Generative Tensor Network Classification Model for Supervised Machine Learning. - Ebenezer R. H. P. Isaac, Susan Elias, Srinivasan Rajagopalan, K. S. Easwarakumar:
Trait of Gait: A Survey on Gait Biometrics. - Adrien Le Coënt, Laurent Fribourg:
Controlled Recurrence of a Biped with Torso. - Jie Zhou, Xuequan Lu, Xin Tan, Zhiwei Shao, Shouhong Ding, Lizhuang Ma:
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds. - Marco Livesu, Nico Pietroni
Loopy Cuts: Surface-Field Aware Block Decomposition for Hex-Meshing. - Talha Qaiser, Nasir M. Rajpoot:
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring. - Amir Atapour Abarghouei, Toby P. Breckon:
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach. - Michiel Verburg, Vlado Menkovski:
Micro-expression detection in long videos using optical flow and recurrent neural networks. - Sotirios Brotsis, Nicholas Kolokotronis, Konstantinos Limniotis, Stavros Shiaeles, Dimitris Kavallieros, Emanuele Bellini, Clément Pavué:
Blockchain Solutions for Forensic Evidence Preservation in IoT Environments. - Olga Gkotsopoulou, Elisavet Charalambous, Konstantinos Limniotis, Paul Quinn, Dimitris Kavallieros, Gohar Sargsyan, Stavros Shiaeles, Nicholas Kolokotronis:
Data Protection by Design for Cybersecurity Systems in a Smart Home Environment. - Stephen T. Mahon, Anthony Buchoux, Mohammed E. Sayed, Lijun Teng, Adam A. Stokes:
Soft Robots for Extreme Environments: Removing Electronic Control. - Dinh-Cuong Hoang, Todor Stoyanov, Achim J. Lilienthal:
High-quality Instance-aware Semantic 3D Map Using RGB-D Camera. - Zhengmin Kong, Shaoshi Yang, Die Wang, Lajos Hanzo:
Robust beamforming and jamming for enhancing the physical layer security of full duplex radios. - Cheng Wang, Mathias Niepert, Hui Li:
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. - Sabah Al-Fedaghi:
Existential Ontology and Thinging Modeling in Software Engineering. - Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
A geometry-inspired decision-based attack. - Boyi Liu, Zhuhua Hu, Yaochi Zhao, Yong Bai, Yu Wang:
Recognition of Pyralidae Insects Using Intelligent Monitoring Autonomous Robot Vehicle in Natural Farm Scene. - HyunJae Lee, Hyo-Eun Kim, Hyeonseob Nam:
SRM : A Style-based Recalibration Module for Convolutional Neural Networks. - Rodrigo Benenson, Stefan Popov, Vittorio Ferrari:
Large-scale interactive object segmentation with human annotators. - Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu:
Attention Based Glaucoma Detection: A Large-scale Database and CNN Model. - Jizhe Zhou, Chi-Man Pun, YingYu Wang:
Personal Privacy Filtering via Face Pixelation in Live Video Streaming. - Kuikui Li, Meixia Tao, Zhiyong Chen:
Exploiting Computation Replication for Mobile Edge Computing: A Fundamental Computation-Communication Tradeoff Study. - Hendrik Schreiber, Meinard Müller:
Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters. - Julian Lißner, Felix Fritzen:
Data-Driven Microstructure Property Relations. - Dongrui Wu, Feifei Liu, Chengyu Liu:
Active Stacking for Heart Rate Estimation. - Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian:
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. - Tran-Thai Dang, Tien-Lam Pham, Hiori Kino, Takashi Miyake, Hieu-Chi Dam:
Measuring the Similarity between Materials with an Emphasis on the Materials Distinctiveness. - Anh Nguyen, Thanh-Toan Do, Ian D. Reid, Darwin G. Caldwell, Nikos G. Tsagarakis:
V2CNet: A Deep Learning Framework to Translate Videos to Commands for Robotic Manipulation. - Ankit Sharma, Late C. A. Murthy:
Algorithms and Improved bounds for online learning under finite hypothesis class. - Flavio L. Duarte, Rodrigo C. de Lamare:
Switched Max-Link Relay Selection Algorithms for Buffer-Aided Relay Systems. - Anpei Chen, Zhang Chen, Guli Zhang, Ziheng Zhang, Kenny Mitchell, Jingyi Yu:
Photo-Realistic Facial Details Synthesis from Single Immage. - Zhiyuan Wang, Lin Gao, Jianwei Huang:
Duopoly Competition for Mobile Data Plans with Time Flexibility. - Mauricio Matamoros, Viktor Seib, Dietrich Paulus:
Trends, Challenges and Adopted Strategies in RoboCup@Home (2019 version). - Markus Oberweger, Paul Wohlhart, Vincent Lepetit:
Generalized Feedback Loop for Joint Hand-Object Pose Estimation. - Kripasindhu Sarkar, Kiran Varanasi, Didier Stricker:
Learning Quadrangulated Patches For 3D Shape Processing. - Pekka Abrahamsson:
Commitment to Software Process improvement Development of Diagnostic Tool to Facilitate Improvement1. - Pekka Abrahamsson, Karlheinz Kautz:
The Personal Software Process, Experiences from Denmark. - Jorge F. Schmidt, Udo Schilcher, Mahin K. Atiq, Christian Bettstetter:
Interference Prediction in Wireless Networks: Stochastic Geometry meets Recursive Filtering. - Kun Wang, Jun He, Lei Zhang:
Attention-based Convolutional Neural Network for Weakly Labeled Human Activities Recognition with Wearable Sensors. - Pekka Abrahamsson, Nilay V. Oza, Mikko T. Siponen:
Agile Software Development Method, A Comparative Review1. - Tommi Jauhiainen, Krister Lindén, Heidi Jauhiainen:
Language Model Adaptation for Language and Dialect Identification of Text. - Haoran Yu, George Iosifidis, Biying Shou, Jianwei Huang:
Pricing for Collaboration Between Online Apps and Offline Venues. - Amir Rosenfeld, Richard S. Zemel, John K. Tsotsos:
High-Level Perceptual Similarity is Enabled by Learning Diverse Tasks. - Adam Rambousek, Ales Horák, Vit Suchomel, Vít Baisa:
A New Approach for Semi-automatic Building and Extending a Multilingual Terminology Thesaurus. - Nguyen Q. Tran, Henrik Ambos, Alexander Jung:
Classifying Partially Labeled Networked Data via Logistic Network Lasso. - Andrea Romanoni, Matteo Matteucci:
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo. - Fabian Wolf, Philipp Oberdiek, Gernot A. Fink:
Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets. - Konstantinos Koufos, Carl P. Dettmann:
The Meta Distribution of the SIR in Linear Motorway VANETs. - Helene Svane, Andrew du Plessis:
Reconstruction of r-Regular Objects from Trinary Images. - Pankaj K. Agarwal, Ravid Cohen, Dan Halperin, Wolfgang Mulzer:
Maintaining the Union of Unit Discs under Insertions with Near-Optimal Overhead. - Felix Girke, Fabian Kurtz, Nils Dorsch, Christian Wietfeld:
Towards Resilient 5G: Lessons Learned from Experimental Evaluations of LTE Uplink Jamming. - Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
A Probabilistic Generative Model of Linguistic Typology. - Dongrui Wu, Ye Yuan, Yihua Tan:
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA). - Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang:
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. - Kun Yuan, Sulaiman A. Alghunaim, Bicheng Ying, Ali H. Sayed:
On the Performance of Exact Diffusion over Adaptive Networks. - Liyang Han, Thomas Morstyn, Constance Crozier, Malcolm McCulloch:
Improving the Scalability of a Prosumer Cooperative Game with K-Means Clustering. - Jesús Camacho-Rodríguez, Ashutosh Chauhan, Alan Gates, Eugene Koifman, Owen O'Malley, Vineet Garg, Zoltan Haindrich, Sergey Shelukhin, Prasanth Jayachandran, Siddharth Seth, Deepak Jaiswal, Slim Bouguerra, Nishant Bangarwa, Sankar Hariappan, Anishek Agarwal, Jason Dere, Daniel Dai, Thejas Nair, Nita Dembla, Gopal Vijayaraghavan, Günther Hagleitner:
Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing. - Wei Yang, Haotian Zhang, Jimmy Lin:
Simple Applications of BERT for Ad Hoc Document Retrieval. - Esra Ataer Cansizoglu, Michael Jones, Ziming Zhang, Alan Sullivan:
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network. - Dogan Corus, Pietro S. Oliveto:
On the Benefits of Populations on the Exploitation Speed of Standard Steady-State Genetic Algorithms. - Magda Gregorova:
Sparse Learning for Variable Selection with Structures and Nonlinearities. - Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Chunhong Pan, Jian Sun:
DetNAS: Neural Architecture Search on Object Detection. - Benjamin Doerr:
A Tight Runtime Analysis for the cGA on Jump Functions - EDAs Can Cross Fitness Valleys at No Extra Cost. - Julia Lieb, Raquel Pinto:
Constructions of MDS convolutional codes using superregular matrices. - Marco Ancona, Cengiz Öztireli, Markus H. Gross:
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation. - Simon Hecker, Dengxin Dai, Luc Van Gool:
Learning Accurate, Comfortable and Human-like Driving. - Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma:
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. - Dimitris Fotakis, Jannik Matuschke, Orestis Papadigenopoulos:
Malleable scheduling beyond identical machines. - Shuo Zhou, Wenwen Li, Christopher R. Cox, Haiping Lu:
Domain Independent SVM for Transfer Learning in Brain Decoding. - Reem AlRashdi, Simon O'Keefe:
Deep Learning and Word Embeddings for Tweet Classification for Crisis Response. - Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom:
nuScenes: A multimodal dataset for autonomous driving. - Noel Mizzi, Adrian Muscat:
Optimising the Input Image to Improve Visual Relationship Detection. - Pankaj Raj Roy, Guillaume-Alexandre Bilodeau:
Adversarially Learned Abnormal Trajectory Classifier. - Ilya Afanasyev, Alexander Kolotov, Ruslan Rezin, Konstantin Danilov, Alexey M. Kashevnik, Vladimir Jotsov:
Blockchain Solutions for Multi-Agent Robotic Systems: Related Work and Open Questions. - Liyang Han, Thomas Morstyn, Malcolm McCulloch:
Estimation of the Shapley Value of a Peer-to-Peer Energy Sharing Game using Coalitional Stratified Random Sampling. - Pietro De Lellis, Franco Garofalo, Francesco Lo Iudice:
Formation control on Jordan curves based on noisy proximity measurements. - Alexandros Liapis, Christos Katsanos, Michalis Xenos, Theofanis Orphanoudakis:
Effect of Personality Traits on UX Evaluation Metrics: A Study on Usability Issues, Valence-Arousal and Skin Conductance. - Onur Mutlu:
RowHammer and Beyond. - Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca:
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. - (Withdrawn) Testing isomorphism of circular-arc graphs in polynomial time.
- Eric Filiol:
BSEA-1 - A Stream Cipher Backdooring Technique. - TingTing Li, WeiYa Fan, YunSong Luo:
A method on selecting reliable samples based on fuzziness in positive and unlabeled learning. - Sibylle Schupp:
Tool Support of Formal Methods for Privacy by Design. - Adelya Sabirova, Maksim Rassabin, Roman Fedorenko, Ilya Afanasyev:
Ground Profile Recovery from Aerial 3D LiDAR-based Maps. - Jared Dunnmon, Alexander Ratner, Nishith Khandwala, Khaled Saab, Matthew Markert, Hersh Sagreiya, Roger E. Goldman, Christopher Lee-Messer, Matthew P. Lungren, Daniel L. Rubin, Christopher Ré:
Cross-Modal Data Programming Enables Rapid Medical Machine Learning. - Oluwaseyi Feyisetan, Thomas Drake, Borja Balle, Tom Diethe
Privacy-preserving Active Learning on Sensitive Data for User Intent Classification. - Felix M. Riese, Sina Keller
SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python. - Alonso Rodríguez-Navarro, Ricardo Brito:
Like-for-like bibliometric substitutes for peer review: advantages and limits of indicators calculated from the ep index. - Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing. - Ilia Shumailov, Laurent Simon, Jeff Yan, Ross Anderson:
Hearing your touch: A new acoustic side channel on smartphones. - Bernd Finkbeiner, Christopher Hahn, Tobias Hans:
MGHyper: Checking Satisfiability of HyperLTL Formulas Beyond the ∃*∀* Fragment. - Pedro Rocha
Robust NFP generation for Nesting problems. - Felix Petersen, Amit H. Bermano, Oliver Deussen, Daniel Cohen-Or:
Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer. - João Antunes, Alexandre Bernardino, Asim Smailagic, Daniel P. Siewiorek:
Weighted Multisource Tradaboost. - Anastasios K. Papazafeiropoulos
Nuts and Bolts of a Realistic Stochastic Geometric Analysis of mmWave HetNets: Hardware Impairments and Channel Aging. - Jaemin Lee, Efstathios Bakolas, Luis Sentis:
Efficient Trajectory Generation for Robotic Systems Constrained by Contact Forces. - Caleb Gannon, Rongguang Liang:
Using machine learning to create high-efficiency freeform illumination design tools. - Song-Kyoo Kim:
The Trailer of Strategic Alliance for Blockchain Governance Game. - Wenshan Wang, Aayush Ahuja, Yanfu Zhang, Rogerio Bonatti, Sebastian A. Scherer:
Improved Generalization of Heading Direction Estimation for Aerial Filming Using Semi-supervised Regression. - Alexander Jung, Nguyen Q. Tran:
Localized Linear Regression in Networked Data. - Fuxi Cai
Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. - Aaron D. Ames, Samuel Coogan, Magnus Egerstedt, Gennaro Notomista, Koushil Sreenath, Paulo Tabuada:
Control Barrier Functions: Theory and Applications. - Hongwei Dong, Liming Yang:
Iteratively reweighted least squares for robust regression via SVM and ELM. - Yingjun Wu, Jia Yu, Yuanyuan Tian, Richard Sidle, Ronald Barber:
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations. - Vera L. J. Somers, Ian R. Manchester:
Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. - Zahratu Shabrina, Elsa Arcaute, Michael Batty:
Airbnb's disruption of the housing structure in London. - Luca Luceri, Davide Andreoletti, Silvia Giordano:
Infringement of Tweets Geo-Location Privacy: an approach based on Graph Convolutional Neural Networks. - Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Information Maximizing Visual Question Generation. - Junaid Malik, Serkan Kiranyaz, Suchithra Kunhoth, Turker Ince, Somaya Al-Máadeed, Ridha Hamila, Moncef Gabbouj:
Colorectal cancer diagnosis from histology images: A comparative study. - Xingqin Lin, Björn Hofström, Y.-P. Eric Wang, Gino Masini, Helka-Liina Maattanen, Henrik Rydén, Jonas Sedin, Magnus Stattin, Olof Liberg, Sebastian Euler, Siva D. Muruganathan, Stefan G. Eriksson, Talha Khan:
5G New Radio Evolution Meets Satellite Communications: Opportunities, Challenges, and Solutions. - Xiao Zhang, Lingjie Duan:
Optimal deployment of sustainable UAV networks for providing wireless coverage. - Stephen Mayhew, Tatiana Tsygankova, Dan Roth:
ner and pos when nothing is capitalized. - Zhiqin Chen
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. - Jizong Peng, Guillermo Estrada, Marco Pedersoli, Christian Desrosiers:
Deep Co-Training for Semi-Supervised Image Segmentation. - Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Network with Auxiliary Gradient Module. - Fengyu Zhou, James Anderson, Steven H. Low:
Differential Privacy of Aggregated DC Optimal Power Flow Data. - Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, Thomas A. Funkhouser:
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics. - Neil D. Lawrence:
Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design. - Mohammad Jafar Mashhadi, Hadi Hemmati:
An Empirical Study on Practicality of Specification Mining Algorithms on a Real-world Application. - Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu:
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. - Hyo-Sung Ahn, Kevin L. Moore, Seong-Ho Kwon, Quoc Van Tran
Topological Controllability of Undirected Networks of Diffusively-Coupled Agents. - Jun Gao, Xiao Li, Liwei Wang, Sanja Fidler, Stephen Lin:
Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing. - Varun Kannadi Valloli, Kinal Mehta:
W-Net: Reinforced U-Net for Density Map Estimation. - Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. - Qun Liu, Supratik Mukhopadhyay, Yimin Zhu, Ravindra Gudishala, Sanaz Saeidi, Alimire Nabijiang:
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation. - Subutai Ahmad, Luiz Scheinkman:
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations. - Guo-Jun Qi, Jiebo Luo:
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods. - Jagadeesh Harshan, Yih-Chun Hu:
Convolution Attack on Frequency-Hopping by Full-Duplex Radios. - (Withdrawn) A Novel Hierarchical Circuit LUT Model for SOI Technology for Rapid Prototyping.
- Kyubyong Park, Thomas Mulc:
CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages. - Abhishek Sinha, Matthew Andrews, Prasanth Ananth:
Scheduling Algorithms for 5G Networks with Mid-haul Capacity Constraints. - Tetsuya Sakai:
Graded Relevance Assessments and Graded Relevance Measures of NTCIR: A Survey of the First Twenty Years. - Masataro Asai, Hiroshi Kajino:
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder. - Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao:
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents. - Elizaveta Korotkova, Agnes Luhtaru, Maksym Del, Krista Liin, Daiga Deksne, Mark Fishel:
Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation. - Beomjun Kim, Jean Ponce, Bumsub Ham:
Deformable kernel networks for guided depth map upsampling. - Dinghua Shi, Linyuan Lü, Guanrong Chen:
Totally Homogeneous Networks. - Grégoire Cattan
Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer. - Maxime Portaz, Hicham Randrianarivo, Adrien Nivaggioli, Estelle Maudet, Christophe Servan, Sylvain Peyronnet:
Image search using multilingual texts: a cross-modal learning approach between image and text Maxime Portaz Qwant Research. - Lei Li, Zhaoqiang Xia, Xiaoyue Jiang, Yupeng Ma, Fabio Roli, Xiaoyi Feng:
3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis. - Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang:
Linkage Based Face Clustering via Graph Convolution Network. - Ruben Mayer, Hans-Arno Jacobsen:
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools. - Thibault Godin:
Generic properties in some classes of automaton groups. - Johannes Klaus Fichte, Markus Hecher:
Treewidth and Counting Projected Answer Sets. - H. Murat Gursu, Mikhail Vilgelm, Alberto Martínez Alba, Matteo Berioli, Wolfgang Kellerer:
Admission Control based Traffic-Agnostic Delay-Constrained Random Access (AC/DC-RA) for M2M Communication. - Hamza Sharif, Rizwan Ahmed Khan
A novel framework for automatic detection of Autism: A study on Corpus Callosum and Intracranial Brain Volume. - Yining Li, Chen Huang, Chen Change Loy:
Dense Intrinsic Appearance Flow for Human Pose Transfer. - Mayu Otani
Rethinking the Evaluation of Video Summaries. - Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson:
Generalized Off-Policy Actor-Critic. - Mattia Rebato, Luca Rose, Michele Zorzi:
Performance Assessment of MIMO Precoding on Realistic mmWave Channels. - Alexandra Gessner, Javier Gonzalez, Maren Mahsereci:
Active Multi-Information Source Bayesian Quadrature. - Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit:
Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras. - Yuebing Zhang, Duoqian Miao, Jiaqi Wang:
Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification. - Tillmann Mühlpfordt, Line Roald, Veit Hagenmeyer, Timm Faulwasser, Sidhant Misra:
Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach. - Tatyana Ruzsics, Tanja Samardzic:
Multilevel Text Normalization with Sequence-to-Sequence Networks and Multisource Learning. - Nikita Dvornik, Cordelia Schmid, Julien Mairal:
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. - Francesco Croce, Jonas Rauber, Matthias Hein:
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks. - Tomer Ezra, Michal Feldman, Ophir Friedler:
A General Framework for Endowment Effects in Combinatorial Markets. - Xiaoyi Zhou, Tong Ye, Tony Tong Lee:
The Effect of Mobility on Delayed Data Offloading. - Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao:
Does My Rebuttal Matter? Insights from a Major NLP Conference. - Josip Dvornik, Damir Lazarevic, Antonia Jaguljnjak Lazarevic, Marija Demsic:
Non-recursive equivalent of the conjugate gradient method without the need to restart. - Peng Hu, Xiusheng Liu:
Binary LCD Codes from Z2Z2[u]. - Marijn J. H. Heule, Manuel Kauers, Martina Seidl:
Local Search for Fast Matrix Multiplication. - Danny Merkx, Stefan L. Frank:
Learning semantic sentence representations from visually grounded language without lexical knowledge. - Kuldeep Purohit, A. N. Rajagopalan:
Spatially-Adaptive Residual Networks for Efficient Image and Video Deblurring. - Kyriakos Georgiou, Zbigniew Chamski, Andrés Amaya García, David May, Kerstin Eder:
Lost in translation: Exposing hidden compiler optimization opportunities. - Piotr Bazydlo, Krzysztof Lasota, Adam Kozakiewicz:
Botnet fingerprinting method based on anomaly detection in SMTP conversations. - Ihor V. Rokach:
Smoothed finite element method for stress intensity factor estimation: benefits and limitations. - Hung Nghiep Tran, Atsuhiro Takasu:
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective. - Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. - Marco Damonte, Shay B. Cohen:
Structural Neural Encoders for AMR-to-text Generation. - Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy:
Self-Supervised Learning via Conditional Motion Propagation. - Xiang Yin:
Estimation and Verification of Partially-Observed Discrete-Event Systems. - Alicja Gosiewska, Przemyslaw Biecek
iBreakDown: Uncertainty of Model Explanations for Non-additive Predictive Models. - Ziping Jiang, Paul L. Chazot, M. Emre Celebi, Danny Crookes, Richard Jiang:
Social Behavioral Phenotyping of Drosophila with a2D-3D Hybrid CNN Framework. - Jan Hackfeld:
A lightweight BFT consensus protocol for blockchains. - Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla S. Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry A. Koroteev:
Real-time data-driven detection of the rock type alteration during a directional drilling. - Franck Burlot, François Yvon:
Using Monolingual Data in Neural Machine Translation: a Systematic Study. - Daniel Ahlin, Boris Bauermeister, Jan Conrad, Robert W. Gardner, Luca Grandi, Benedikt Riedel, Evan Shockley, Judith Stephen, Ragnar Sundblad, Suchandra Thapa, Christopher D. Tunnell
The XENON1T Data Distribution and Processing Scheme. - Xinzhu Ma, Zhihui Wang, Haojie Li, Wanli Ouyang, Pengbo Zhang:
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving. - Wouter Meulemans, Kevin Verbeek, Jules Wulms:
Stability analysis of kinetic orientation-based shape descriptors. - Xin-She Yang, Suash Deb, Sudhanshu K. Mishra:
Multi-Species Cuckoo Search Algorithm for Global Optimization. - Johannes Beck, Roberta Huang, David Lindner, Tian Guo, Ce Zhang, Dirk Helbing, Nino Antulov-Fantulin:
Sensing Social Media Signals for Cryptocurrency News. - Emanuele Brugnoli, Matteo Cinelli, Fabiana Zollo, Walter Quattrociocchi, Antonio Scala:
Lexical convergence inside and across echo chambers. - Minchae Jung, Walid Saad, Young Rok Jang, Gyuyeol Kong, Sooyong Choi:
Reliability Analysis of Large Intelligent Surfaces (LISs): Rate Distribution and Outage Probability. - Melvin Wevers, Jianbo Gao, Kristoffer L. Nielbo:
Tracking the Consumption Junction: Temporal Dependencies between Articles and Advertisements in Dutch Newspapers. - Jacopo Arpetti, Antonio Iovanella:
Towards hybrid price discrimination via neighbours properties in network-driven economy. - Anthony Palladino, Elisa J. Bienenstock, Bradley M. West, Jake R. Nelson, Tony H. Grubesic:
Information Fusion to Estimate Resilience of Dense Urban Neighborhoods. - Ingo Steinwart:
A Sober Look at Neural Network Initializations. - Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska:
Symbolic Regression for Constructing Analytic Models in Reinforcement Learning. - Riku Arakawa, Hiromu Yakura:
REsCUE: A framework for REal-time feedback on behavioral CUEs using multimodal anomaly detection. - Alexander V. Avvakumov, Valery F. Strizhov, Petr N. Vabishchevich, Alexander O. Vasilev:
Numerical modeling of neutron transport in SP3 approximation by finite element method. - Kamil Bortko, Patryk Pazura, Juho Hamari, Piotr Bartkow, Jaroslaw Jankowski:
From the Hands of an Early Adopter's Avatar to Virtual Junkyards: Analysis of Virtual Goods' Lifetime Survival. - Steffen Eger, Gözde Gül Sahin, Andreas Rücklé
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. - Majdoddin Esfandiari, Sergiy A. Vorobyov, Simin Alibani, Mahmood Karimi:
Non-Iterative Subspace-Based DOA Estimation in the Presence of Nonuniform Noise. - Timothy Verstraeten, Ann Nowé, Jonathan Keller, Yi Guo, Shuangwen Sheng, Jan Helsen:
Fleetwide data-enabled reliability improvement of wind turbines. - Carsten Uphoff, Michael Bader:
Yet Another Tensor Toolbox for discontinuous Galerkin methods and other applications. - Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra:
Autoregressive Policies for Continuous Control Deep Reinforcement Learning. - Hyo-Sang Shin, Shaoming He, Antonios Tsourdos:
Sample Greedy Gossip Distributed Kalman Filter. - Ries Uittenbogaard, Clint Sebastian, Julien A. Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H. N. de With:
Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery. - Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, Tijl De Bie:
Opinion Dynamics with Backfire Effect and Biased Assimilation. - Mattia Brambilla, Andrea Matera, Dario Tagliaferri, Monica Nicoli, Umberto Spagnolini:
RF-Assisted Free-Space Optics for 5G Vehicle-to-Vehicle Communications. - Lav Gupta, Raj Jain, Mohammed Samaka:
Analysis of Application Delivery Platform for Software Defined Infrastructures. - Tara Salman, Raj Jain:
A Survey of Protocols and Standards for Internet of Things. - Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta, H. Anthony Chan:
Optimal Virtual Network Function Placement and Resource Allocation in Multi-Cloud Service Function Chaining Architecture. - Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia, Mark Stamp:
Transfer Learning for Image-Based Malware Classification. - Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Martin Robertson:
GAN-based Pose-aware Regulation for Video-based Person Re-identification. - Felix G. Hamza-Lup, Benjamin Page:
Haptics-Augmented Physics Simulation: Coriolis Effect. - Noé Tits, Fengna Wang, Kevin El Haddad, Vincent Pagel, Thierry Dutoit:
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis. - Yelena Mejova, Kyriaki Kalimeri:
Effect of Values and Technology Use on Exercise: Implications for Personalized Behavior Change Interventions. - Hong Hu, Yue M. Lu:
Asymptotics and Optimal Designs of SLOPE for Sparse Linear Regression. - Victor Peña, Humberto Sarria:
Characteristic-Dependent Linear Rank Inequalities via Complementary Vector Spaces. - Gh. Miscoi, A. Costea, R. I. Ticu, C. Pomazan:
Algorithms of evaluation of the waiting time and the modelling of the terminal activity. - Johanne Cohen, Daniel Cordeiro, Loubna Echabbi:
Detecting service provider alliances. - Larry Bull:
A Simple Haploid-Diploid Evolutionary Algorithm. - Nunzia Palmieri, Xin-She Yang, Floriano De Rango, Amilcare Francesco Santamaria:
Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team. - Beomsu Kim, Junghoon Seo, Taegyun Jeon:
Bridging Adversarial Robustness and Gradient Interpretability. - Joseph P. Robinson, Yuncheng Li, Ning Zhang, Yun Fu, Sergey Tulyakov:
Laplace Landmark Localization. - Sourav Chakraborty, Sushrut Karmalkar, Srijita Kundu, Satyanarayana V. Lokam, Nitin Saurabh:
Fourier Entropy-Influence Conjecture for Random Linear Threshold Functions. - Ramin Soltani, Dennis Goeckel, Don Towsley, Amir Houmansadr:
Fundamental Limits of Covert Packet Insertion. - Samyak Datta, Karan Sikka, Anirban Roy, Karuna Ahuja, Devi Parikh, Ajay Divakaran:
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. - Mojtaba Ahmadi Almasi, Roohollah Amiri, Mojtaba Vaezi, Hani Mehrpouyan:
Lens-based Millimeter Wave Reconfigurable Antenna NOMA. - Sara Hassan, Rami Bahsoon, Rick Kazman:
Microservice Transition and its Granularity Problem: A Systematic Mapping Study. - Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara, Yuanhang Luo, Mihai Burzo, Rada Mihalcea, Emily Mower Provost:
MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations. - Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. - Dogan Corus, Pietro S. Oliveto, Donya Yazdani:
On Inversely Proportional Hypermutations with Mutation Potential. - Muhammad Samir Khan, Syed Shalan Naqvi, Nitin H. Vaidya:
Exact Byzantine Consensus on Undirected Graphs under Local Broadcast Model. - Debosmita Bhaumik, Ahmed Khalifa, Michael Cerny Green, Julian Togelius:
Tree Search vs Optimization Approaches for Map Generation. - Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak:
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. - Fakhri Momeni, Nicholas Fraser
From closed to open access: A case study of flipped journals. - Joseph Clements, Yuzhe Yang, Ankur A Sharma, Hongxin Hu, Yingjie Lao:
Rallying Adversarial Techniques against Deep Learning for Network Security. - Pietro Verzelli, Cesare Alippi, Lorenzo Livi:
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere. - Wolfgang Otto, Behnam Ghavimi, Philipp Mayr
Highly cited references in PLOS ONE and their in-text usage over time. - Joshua Hoke Davis, Tao Gao, Sunita Chandrasekaran, Michela Taufer:
Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures. - Giuseppe D'Acquisto, Maurizio Naldi:
A Conceptual Framework for Assessing Anonymization-Utility Trade-Offs Based on Principal Component Analysis. - Debasmit Das, C. S. George Lee:
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration. - Vishal Vaibhav:
Efficient Nonlinear Fourier Transform Algorithms of Order Four on Equispaced Grid. - Tarik A. Rashid, Dosti K. Abbas, Yalin Kiliç Türel:
A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer. - Kun Yang, Yi-Fan Chen, George Roumpos, Chris Colby, John R. Anderson:
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters. - Aria Khademi, Sanghack Lee, David Foley, Vasant G. Honavar:
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality. - Murad Murad, Ahmed M. Eltawil
Performance Analysis and Enhancements for In-Band Full-Duplex Wireless Local Area Networks. - Abbas Soltanian, Diala Naboulsi, Roch H. Glitho, Halima Elbiaze:
Resource Allocation Mechanism for Media Handling Services in Cloud Multimedia Conferencing. - Abba Lawan, Abdur Rakib:
The Semantic Web Rule Language Expressiveness Extensions-A Survey. - Harish Ravichandar, Seyed Reza Ahmadzadeh, Muhammad Asif Rana, Sonia Chernova:
Skill Acquisition via Automated Multi-Coordinate Cost Balancing. - Jiahui Yu, Thomas S. Huang:
Network Slimming by Slimmable Networks: Towards One-Shot Architecture Search for Channel Numbers. - Chao Shang, Fengqi You:
Posteriori Probabilistic Bounds of Convex Scenario Programs with Validation Tests. - Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio:
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. - Lei Lin, Beilei Xu
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis. - Wenqing Lin:
Distributed Algorithms for Fully Personalized PageRank on Large Graphs. - Marios Xanthidis, Nare Karapetyan, Hunter Damron
Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle. - Xiaoyan Lu, Boleslaw K. Szymanski:
Regularized Stochastic Block Model for robust community detection in complex networks. - Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, Yuxing Peng, Jian Sun:
ThunderNet: Towards Real-time Generic Object Detection. - Lingying Huang, Alex S. Leong, Daniel E. Quevedo, Ling Shi:
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost. - Chengqing Li:
When an attacker meets a cipher-image in 2018: A Year in Review. - ThanhVu Nguyen, Westley Weimer, Deepak Kapur, Stephanie Forrest:
Connecting Program Synthesis and Reachability: Automatic Program Repair using Test-Input Generation. - ThanhVu Nguyen, Matthew B. Dwyer, Willem Visser:
SymInfer: Inferring Program Invariants using Symbolic States. - Austin Blodgett, Nathan Schneider:
An Improved Approach for Semantic Graph Composition with CCG. - Yuta Hitomi, Yuya Taguchi, Hideaki Tamori, Ko Kikuta, Jiro Nishitoba, Naoaki Okazaki, Kentaro Inui, Manabu Okumura:
A Large-Scale Multi-Length Headline Corpus for Improving Length-Constrained Headline Generation Model Evaluation. - Quan Vuong, Sharad Vikram, Hao Su, Sicun Gao, Henrik I. Christensen:
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? - Sara Ross-Howe, Hamid R. Tizhoosh:
Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. - Guang Hu, Tim Miller, Nir Lipovetzky:
What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS. - Brent A. Griffin, Jason J. Corso:
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames. - Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet:
Wasserstein Dependency Measure for Representation Learning. - Hamed Pezeshki, Masoumeh Sadeghi, Martin Haenggi, J. Nicholas Laneman:
Anywhere Decoding: Low-Overhead Uplink Interference Management for Wireless Networks. - Michael Regan, Pushpendre Rastogi, Arpit Gupta, Lambert Mathias:
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR). - Jun Chen, Ryosuke Watanabe, Keisuke Nonaka, Tomoaki Konno, Hiroshi Sankoh, Sei Naito:
A Fast Free-viewpoint Video Synthesis Algorithm for Sports Scenes. - Jun Muramatsu:
Successive-Cancellation Decoding of Linear Source Code. - Evan N. Feinberg, Robert P. Sheridan, Elizabeth Joshi, Vijay S. Pande, Alan C. Cheng:
Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization. - Ke-Xin He, Yu-Han Shen, Wei-Qiang Zhang:
Hierarchical Pooling Structure for Weakly Labeled Sound Event Detection. - Jingchao Liu, Xuebo Liu, Jie Sheng, Ding Liang, Xin Li, Qingjie Liu:
Pyramid Mask Text Detector. - Atchutaram K. Kocharlakota, Karthik Upadhya, Sergiy A. Vorobyov:
On the Spectral Efficiency for Massive MIMO Systems With Imperfect Spacial Covariance Information. - Te Wei, Wei Feng, Jue Wang, Ning Ge, Jianhua Lu:
Exploiting the Shipping Lane Information for Energy-Efficient Maritime Communications. - Arash Kalatian, Anae Sobhani, Bilal Farooq:
Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application. - Te Wei, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge, Jianhua Lu:
Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges. - Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu:
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. - Jingwei Guan, Cheng Pan, Songnan Li, Dahai Yu:
SRDGAN: learning the noise prior for Super Resolution with Dual Generative Adversarial Networks. - Andrés Ferraro
Skip prediction using boosting trees based on acoustic features of tracks in sessions. - Xueying Chen, Rong Zhang, Pingkun Yan:
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation. - Nils M. Kriege, Fredrik D. Johansson, Christopher Morris:
A Survey on Graph Kernels. - Jing Chen, Xiangyan Tang, Jieren Cheng, Fengkai Wang, Ruomeng Xu:
DDoS Attack Detection Method Based on Network Abnormal Behavior in Big Data Environment. - Jindou Wu, Yunlun Yang, Chao Deng, Hongyi Tang, Bingning Wang, Haoze Sun, Ting Yao, Qi Zhang:
Sogou Machine Reading Comprehension Toolkit. - Damien Sileo
Mining Discourse Markers for Unsupervised Sentence Representation Learning. - Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang:
Feature Intertwiner for Object Detection. - Torgeir Dingsøyr:
Knowledge Management in Medium-Sized Software Consulting Companies: An investigation of Intranet-based Knowledge Management Tools for Knowledge Cartography and Knowledge Repositories for Learning Software Organisations. - Lianmeng Jiao, Xiaojiao Geng:
Analysis and Extension of the Evidential Reasoning Algorithm for Multiple Attribute Decision Analysis with Uncertainty. - (Withdrawn) Complete Disjoint coNP-Pairs but no Complete Total Polynomial Search Problems Relative to an Oracle.
- Hanwei Zhang, Yannis Avrithis, Teddy Furon, Laurent Amsaleg:
Smooth Adversarial Examples. - Yuanxin Wu, Chao He, Gang Liu:
On Inertial Navigation and Attitude Initialization in Polar Areas. - Konrad Kulakowski, Dawid Talaga:
Inconsistency indices for incomplete pairwise comparisons matrices. - Yushan Gao, Ander Biguri
Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network. - Antonio Costanzo, Valeria Loscrí, Mauro Biagi:
A Noise Mitigation Approach for VLC Systems. - Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi:
AED-Net: An Abnormal Event Detection Network. - Adnan Qayyum, Junaid Qadir, Muhammad Umar Janjua, Falak Sher:
Using Blockchain to Rein in The New Post-Truth World and Check The Spread of Fake News. - Riccardo Volpi, Vittorio Murino:
Model Vulnerability to Distributional Shifts over Image Transformation Sets. - Yang Liu:
Intelligent Processing in Vehicular Ad hoc Networks: a Survey. - Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu:
Imbalanced Sentiment Classification Enhanced with Discourse Marker. - Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto:
Evolving Boolean Functions with Conjunctions and Disjunctions via Genetic Programming. - Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting. - Mubashar Iqbal:
Taxonomies in DUI Design Patterns: A Systematic Approach for Removing Overlaps Among Design Patterns and Creating a Clear Hierarchy. - Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He:
Learning Discrete Structures for Graph Neural Networks. - Ming Su, Qiang Wang:
On the stability of periodic binary sequences with zone restriction. - Stefan Klootwijk, Bodo Manthey:
Probabilistic Analysis of Facility Location on Random Shortest Path Metrics. - Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. - Ilhan Tarimer, Adil Çoban, Arif Emre Kocaman:
Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques. - Junxin Chen, Lei Chen, Yicong Zhou:
Universal chosen-ciphertext attack for a family of image encryption schemes. - Maximus Mutschler, Andreas Zell:
PAL: A fast DNN optimization method based on curvature information. - Lav Gupta, Mohammed Samaka, Raj Jain, Aiman Erbad, Deval Bhamare, H. Anthony Chan:
Fault and Performance Management in Multi-Cloud Based NFV using Shallow and Deep Predictive Structures. - Deval Bhamare, Aiman Erbad, Raj Jain, Maede Zolanvari, Mohammed Samaka:
Efficient Virtual Network Function Placement Strategies for Cloud Radio Access Networks. - Jaroslaw Jankowski, Juho Hamari, Jaroslaw Watróbski:
A gradual approach for maximising user conversion without compromising experience with high visual intensity website elements. - Ahmed Khalifa, Mohamed Fanni:
Experimental Implementation of a New Non-redundant 6-DOF Quadrotor Manipulation System. - Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He:
High Fidelity Face Manipulation with Extreme Pose and Expression. - Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. - Satish Gajawada, Hassan Mustafa:
Novel Artificial Human Optimization Field Algorithms - The Beginning. - Robert Schwarzenberg, David Harbecke, Vivien Macketanz, Eleftherios Avramidis, Sebastian Möller:
Train, Sort, Explain: Learning to Diagnose Translation Models. - Mohammad Afshari, Aditya Mahajan:
Team Optimal Decentralized State Estimation. - Conghui Zheng, Li Pan, Peng Wu:
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information. - Qingzhong Wang, Antoni B. Chan:
Describing like humans: on diversity in image captioning. - Vitor Lamela, Helder Fontes
Repeatable and Reproducible Wireless Networking Experimentation through Trace-based Simulation. - Ashley Colley, Jacob Thebault-Spieker, Allen Yilun Lin, Donald Degraen, Benjamin Fischman, Jonna Häkkilä, Kate Kuehl, Valentina Nisi, Nuno Jardim Nunes, Nina Wenig, Dirk Wenig, Brent J. Hecht, Johannes Schöning:
The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and Movement. - Hughes Perreault, Guillaume-Alexandre Bilodeau, Nicolas Saunier, Pierre Gravel:
Road User Detection in Videos. - Dizhong Zhu, William A. P. Smith:
Depth from a polarisation + RGB stereo pair. - Johannes Lotz
Robust, fast and accurate: a 3-step method for automatic histological image registration. - Nicolas Tempelmeier, Yannick Rietz, Iryna V. Lishchuk, Tina Kruegel, Olaf Mumm, Vanessa Miriam Carlow, Stefan Dietze, Elena Demidova:
Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions. - Srikanta Tirthapura, David P. Woodruff:
Optimal Random Sampling from Distributed Streams Revisited. - Sebastian Spänig, Agnes Emberger-Klein, Jan-Peter Sowa, Ali Canbay, Klaus Menrad, Dominik Heider:
The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes. - Snehanshu Banerjee, Mansoureh Jeihani, Danny D. Brown, Samira Ahangari:
Comprehensive Analysis of Dynamic Message Sign Impact on Driver Behavior: A Random Forest Approach. - Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong, Nykan Mirchi, Timothe Langlois-Therrien, Colleen Rollins, Myriam Tanguay-Sela, Joseph Mehltretter, Robert Fratila, Sonia Israel, Emily Snook, Kelly Perlman, Akiva Kleinerman, Bechara Saab, Mark Thoburn, Cheryl Gabbay, Amit Yaniv-Rosenfeld:
Big Data Analytics and AI in Mental Healthcare. - Vishakha A. Metre, Mr Pramod B. Deshmukh:
Scope of Research on Particle Swarm Optimization Based Data Clustering. - William G. La Cava, Christopher R. Bauer, Jason H. Moore, Sarah A. Pendergrass:
Interpretation of machine learning predictions for patient outcomes in electronic health records. - Eduard Paul Enoiu:
An Empirical Exploration on the Supervision of PhD Students Closely Collaborating with Industry. - Rogier van de Wetering, Rik Bos:
Toward a fitness landscape model of firms' IT-enabled dynamic capabilities. - Nader Sohrabi Safa, Carsten Maple, Steven M. Furnell, Muhammad Ajmal Azad, Charith Perera, Mohammad Dabbagh, Mehdi Sookhak:
Deterrence and Prevention-based Model to Mitigate Information Security Insider Threats in Organisations. - Carl Chalmers, Paul Fergus, Casimiro Aday Curbelo Montañez, Sudip Sikdar, Freya Ball, Bryony Kendall:
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. - Petar Radanliev, David Charles De Roure, Jason R. C. Nurse, Pete Burnap, Eirini Anthi, Uchenna Ani
Definition of Internet of Things (IoT) Cyber Risk Discussion on a Transformation Roadmap for Standardisation of Regulations Risk Maturity Strategy Design and Impact Assessment. - Michael Kainer, Jesper Larsson Träff:
More Parallelism in Dijkstra's Single-Source Shortest Path Algorithm. - Salar Safarkhani, Ilias Bilionis, Jitesh H. Panchal:
Towards a Theory of Systems Engineering Processes: A Principal-Agent Model of a One-Shot, Shallow Process. - Suiyi Ling, Jing Li, Junle Wang, Patrick Le Callet:
GANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views. - Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Learning to Weight for Text Classification. - Alexander Katriniok, Pantelis Sopasakis, Mathijs Schuurmans, Panagiotis Patrinos:
Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. - John Gideon, Melvin G. McInnis, Emily Mower Provost:
Barking up the Right Tree: Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG). - Alan Menk, Laura Sebastia, Rebeca Ferreira:
Recommendation Systems for Tourism Based on Social Networks: A Survey. - Ashwinkumar Ganesan, Pooja Parameshwarappa, Akshay Peshave, Zhiyuan Chen, Tim Oates:
Extending Signature-based Intrusion Detection Systems WithBayesian Abductive Reasoning. - Suiyi Ling, Jing Li, Zhaohui Che, Xiongkuo Min, Guangtao Zhai, Patrick Le Callet:
Quality Assessment of Free-viewpoint Videos by Quantifying the Elastic Changes of Multi-Scale Motion Trajectories. - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Building Automated Survey Coders via Interactive Machine Learning. - ThanhVu Nguyen, Timos Antonopoulos, Andrew Ruef, Michael Hicks:
A Counterexample-guided Approach to Finding Numerical Invariants. - Gjorgji Strezoski, Nanne van Noord, Marcel Worring:
Many Task Learning with Task Routing. - Maria Santos, Magnus Egerstedt:
From Motions to Emotions: Can the Fundamental Emotions be Expressed in a Robot Swarm? - Tony Wang, Tim Tschampel, Emilia Apostolova, Tom Velez:
Using Latent Class Analysis to Identify ARDS Sub-phenotypes for Enhanced Machine Learning Predictive Performance. - Daniel McDuff, Kael Rowan, Piali Choudhury, Jessica Wolk, ThuVan Pham, Mary Czerwinski:
A Multimodal Emotion Sensing Platform for Building Emotion-Aware Applications. - Jaroslaw Blasiok, Patrick Lopatto, Kyle Luh, Jake Marcinek:
Sparse Reconstruction from Hadamard Matrices: A Lower Bound. - Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin:
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. - Sze-Teng Liong, Yee Siang Gan, Yen-Chang Huang, Chang-Ann Yuan, Hsiu-Chi Chang:
Automatic Defect Segmentation on Leather with Deep Learning. - Xinshao Wang, Elyor Kodirov, Yang Hua, Neil Martin Robertson:
Improving MAE against CCE under Label Noise. - Shravas Rao:
Improved Lower Bounds for the Restricted Isometry Property of Subsampled Fourier Matrices. - Michael Kapralov, Navid Nouri, Aaron Sidford, Jakab Tardos:
Dynamic Streaming Spectral Sparsification in Nearly Linear Time and Space. - Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles. - Athanasios Giannakopoulos, Maxime Coriou, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling. - Sergi Caelles, Albert Pumarola, Francesc Moreno-Noguer, Alberto Sanfeliu, Luc Van Gool:
Fast video object segmentation with Spatio-Temporal GANs. - Archana Sasikumar, Tao Zhao, I-Hong Hou, Srinivas Shakkottai:
Cache-Version Selection and Content Placement for Adaptive Video Streaming in Wireless Edge Networks. - Michael Kapralov, Aida Mousavifar, Cameron Musco, Christopher Musco, Navid Nouri:
Faster Spectral Sparsification in Dynamic Streams. - Xinlei Chen, Ross B. Girshick, Kaiming He, Piotr Dollár:
TensorMask: A Foundation for Dense Object Segmentation. - Takashi Ikegami, Yasuhiro Hashimoto, Mizuki Oka:
Open-ended Evolution and a Mechanism of Novelties in Web Services. - Emmanuel Godard, Damien Imbs, Michel Raynal, Gadi Taubenfeld:
Mutex-based Desanonymization of an Anonymous Read/Write Memory. - Zenglin Shi, Pascal Mettes, Cees G. M. Snoek:
Counting with Focus for Free. - Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica:
Privacy of trajectory micro-data : a survey. - Wei-Lun Chang, Hui-Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu:
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation. - Marco Giordani, Michele Polese, Marco Mezzavilla, Sundeep Rangan, Michele Zorzi:
Towards 6G Networks: Use Cases and Technologies. - Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan:
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. - Ping-Min Lin, Alex Glikson:
Mitigating Cold Starts in Serverless Platforms: A Pool-Based Approach. - Jørgen Bang-Jensen, Gregory Z. Gutin, Anders Yeo:
Arc-disjoint Strong Spanning Subdigraphs of Semicomplete Compositions. - Daniel Bittman
Co-evolving Tracing and Fault Injection with Box of Pain. - Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. - Ozan Özdenizci, Deniz Erdogmus:
Information Theoretic Feature Transformation Learning for Brain Interfaces. - Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth:
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues. - Nicholas Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Sean McPherson, Jacob Shermeyer, Varun Kumar Vijay, Hanlin Tang:
SpaceNet MVOI: a Multi-View Overhead Imagery Dataset. - Eli Ben-Sasson, Lior Goldberg, Swastik Kopparty, Shubhangi Saraf:
DEEP-FRI: Sampling outside the box improves soundness. - ThanhVu Nguyen, Ugur Koc, Javran Cheng, Jeffrey S. Foster, Adam A. Porter:
iGen: Dynamic Interaction Inference for Configurable Software. - Yuxin Wang, Zeyu Ding, Guanhong Wang, Daniel Kifer, Danfeng Zhang:
Proving Differential Privacy with Shadow Execution. - Zeyi Huang, Wei Ke, Dong Huang:
Improving Object Detection with Inverted Attention. - Dan Hendrycks, Thomas G. Dietterich:
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. - Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee:
Towards Standardization of Data Licenses: The Montreal Data License. - Timur Osadchiy, Ivan Poliakov, Patrick Olivier, Maisie Rowland, Emma Foster:
Validation of a recommender system for prompting omitted foods in online dietary assessment surveys. - Maciej Zamorski, Adrian Zdobylak, Maciej Zieba, Jerzy Swiatek:
Generative Adversarial Networks: recent developments. - Adnan Siraj Rakin, Zhezhi He, Deliang Fan:
Bit-Flip Attack: Crushing Neural Network withProgressive Bit Search. - Matias Valdenegro-Toro, Hector Pincheira:
Implementing Noise with Hash functions for Graphics Processing Units. - Mahmoud El-Haj, Paul Rayson, Martin Walker, Steven Young, Vasiliki Simaki:
In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse. - Ruthvik Vaila, John N. Chiasson, Vishal Saxena:
Deep Convolutional Spiking Neural Networks for Image Classification. - Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, Ahmed E. Hassan:
An Empirical Study of Obsolete Answers on Stack Overflow. - Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alexander Peysakhovich:
PyTorch-BigGraph: A Large-scale Graph Embedding System. - Elad Romanov, Or Ordentlich:
Above the Nyquist Rate, Modulo Folding Does Not Hurt. - Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo:
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. - Franz Sauer, Kwan-Liu Ma:
Multifaceted 4D Feature Segmentation and Extraction in Point and Field-based Datasets. - Hao Tang, Dan Xu, Nicu Sebe, Yan Yan:
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. - Muslum Ozgur Ozmen, Attila A. Yavuz:
Dronecrypt - An Efficient Cryptographic Framework for Small Aerial Drones. - Ferenc Balint-Benczedi, Michael Beetz:
Amortized Object and Scene Perception for Long-term Robot Manipulation. - Maria Cruz Varona, Nico Schneucker, Boris Lohmann:
Nonlinear Moment Matching for the Simulation-Free Reduction of Structural Systems. - Jingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas:
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image. - Shane Settle, Kartik Audhkhasi, Karen Livescu, Michael Picheny:
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition. - William M. Mellette, Rajdeep Das, Yibo Guo, Rob McGuinness, Alex C. Snoeren, George Porter:
Expanding across time to deliver bandwidth efficiency and low latency. - Nihar Talele, Katie Byl:
Mesh-based Tools to Analyze Deep Reinforcement Learning Policies for Underactuated Biped Locomotion. - Rayan Chikhi, Jan Holub, Paul Medvedev:
Data structures to represent sets of k-long DNA sequences. - Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu:
Relation-aware Graph Attention Network for Visual Question Answering. - Yawei Lu, Wei Chen, H. Vincent Poor:
User Preference Aware Lossless Data Compression at the Edge. - Joseph West, Frédéric Maire, Cameron Browne, Simon Denman:
Improved Reinforcement Learning with Curriculum. - Mengran Xue, Sandip Roy:
Averager-copier-voter models for hybrid opinion dynamics in complex networks. - Pratik Kumar, Abhishek Ramdas Nair, Oindrila Chatterjee, Tathagata Paul, Arindam Ghosh, Shantanu Chakrabartty, Chetan Singh Thakur:
Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines. - Weiwei Zong, Joon Lee, Chang Liu, Eric Nathan Carver, Aharon Feldman, Branislava Janic, Mohamed Elshaikh, Milan Pantelic, David Hearshen, Indrin J. Chetty, Benjamin Movsas, Ning Wen:
A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network. - Jingbo Lin, Houbing Song, Weipeng Jing:
ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images. - Song-Kyoo Kim, Chan Yeob Yeun, Ernesto Damiani, Nai-Wei Lo:
A Machine Learning Framework for Biometric Authentication using Electrocardiogram. - Liang Zhao, Wei Xu:
Learning Good Representation via Continuous Attention. - Neil C. Borle, Edmond A. Ryan, Russell Greiner:
The Challenge of Predicting Meal-to-meal Blood Glucose Concentrations for Patients with Type I Diabetes. - Wentao Chen, Tehuan Chen, Guang Lin:
Reinforcement Learning for Traffic Control with Adaptive Horizon. - Yucong Ye, Franz Sauer, Kwan-Liu Ma, Aditya Konduri, Jacqueline Chen:
A User-centered Design Study in Scientific Visualization Targeting Domain Experts. - Liu Liu, Hongdong Li:
Lending Orientation to Neural Networks for Cross-view Geo-localization. - Ivan Vankov, Jeffrey S. Bowers:
Out-of-the box neural networks can support combinatorial generalization. - Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins:
Local Aggregation for Unsupervised Learning of Visual Embeddings. - Dekun Wu, Nana Nosirova, Hui Jiang, Mingbin Xu:
A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases. - Gary P. T. Choi, Yusan Leung-Liu, Xianfeng Gu, Lok Ming Lui:
Parallelizable global conformal parameterization of simply-connected surfaces via partial welding. - Xuezhi Yang:
Capacity of Fading Channels without Channel Side Information. - Xiaohui Zhao, Zhuo Wu, Xiaoguang Wang:
CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor. - Andre Ivan, Williem, In Kyu Park:
Synthesizing a 4D Spatio-Angular Consistent Light Field from a Single Image. - Katsusuke Nabeshima, Shinichi Tajima:
Testing zero-dimensionality of varieties at a point. - Zehra Sura, Tong Chen, Hyojin Sung:
Using Structured Input and Modularity for Improved Learning. - Zihao Bo, Hang Zhang, Jun-Hai Yong, Feng Xu:
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input. - Mohammadreza Doostmohammadian, Hamid R. Rabiee, Usman A. Khan:
Cyber-Social Systems: Modeling, Inference, and Optimal Design. - Andreas Heinecke, Wen-Liang Hwang:
Deep Representation with ReLU Neural Networks. - Zarko Stanisavljevic, Bartosz Walter, Maja Vukasovic, Andrijana Todosijevic, Maciej Labedzki, Marcin Wolski:
GÉANT Software Maturity Model. - Lin Wu, Yang Wang, Hongzhi Yin, Meng Wang, Ling Shao, Brian C. Lovell:
Few-Shot Deep Adversarial Learning for Video-based Person Re-identification. - Chao Zhai, Gaoxi Xiao, Hehong Zhang:
Identification and Analysis of Cascading Failures in Power Grids with Protective Actions. - Zhuang Chen, Qian He, Zhifei Mao, Hwei-Ming Chung, Sabita Maharjan:
A Study on the Characteristics of Douyin Short Videos and Implications for Edge Caching. - Efstratios Rappos, Stephan Robert, Philippe Cudré-Mauroux:
A Force-Directed Approach for Offline GPS Trajectory Map Matching. - Pedro Quaresma, Walther Neuper:
Proceedings 7th International Workshop on Theorem proving components for Educational software, ThEdu@FLoC 2018, Oxford, United Kingdom, 18 july 2018. EPTCS 290, 2019 [contents] - Cédric L. R. Buron, Zahia Guessoum, Sylvain Ductor:
MCTS-based Automated Negotiation Agent (Extended Abstract). - Zalán Borsos, Sebastian Curi, Kfir Y. Levy, Andreas Krause:
Online Variance Reduction with Mixtures. - Zixing Zhang, Jing Han, Kun Qian, Christoph Janott, Yanan Guo, Björn W. Schuller:
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data. - Zixing Zhang, Bingwen Wu, Björn W. Schuller:
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech. - Bernard Parisse:
Computing huge Groebner basis like cyclic10 over $\Q$ with Giac. - Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi:
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. - Jan Böker
Color Refinement, Homomorphisms, and Hypergraphs. - Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari, Michael J. Black, Bernhard Schölkopf:
From Variational to Deterministic Autoencoders. - Igor Nesiolovskiy, Artem Nesiolovskiy:
Multiplication method for factoring natural numbers. - Fatemah S. Behbehani, Mohamed O. I. Musa, Taisir Elgorashi, Jaafar M. H. Elmirghani:
Energy-Efficient Distributed Processing in Vehicular Cloud Architecture. - Rodrigo Barbado, Oscar Araque, Carlos Angel Iglesias:
A framework for fake review detection in online consumer electronics retailers. - Evgeny Kim, Roman Klinger:
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters. - Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Towards Knowledge-Based Personalized Product Description Generation in E-commerce. - Andrew Cullen, Pietro Ferraro, Christopher K. King, Robert Shorten:
Distributed Ledger Technology for Smart Mobility: Variable Delay Models. - Daniel Bauer, Lars Kuhnert, Lutz Eckstein:
Deep, spatially coherent Occupancy Maps based on Radar Measurements. - Ezio Bartocci, Niveditha Manjunath, Leonardo Mariani, Cristinel Mateis, Dejan Nickovic:
Automatic Failure Explanation in CPS Models. - Jef Wijsen:
Corrigendum to "Counting Database Repairs that Satisfy Conjunctive Queries with Self-Joins". - Jayant Gupchup, Yasaman Hosseinkashi, Pavel A. Dmitriev, Daniel Schneider, Ross Cutler, Andrei Jefremov, Martin Ellis:
Trustworthy Experimentation Under Telemetry Loss. - Kang Huang, Wanchun Liu, Mahyar Shirvanimoghaddam, Yonghui Li, Branka Vucetic:
Real-Time Remote Estimation with Hybrid ARQ in Wireless Networked Control. - Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao
Shape Robust Text Detection with Progressive Scale Expansion Network. - Yun Liu, Deng-Ping Fan, Guang-Yu Nie, Xinyu Zhang, Vahan Petrosyan, Ming-Ming Cheng:
DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection. - Daniel Dylewsky, Molei Tao, J. Nathan Kutz:
Data-driven multiscale decompositions for forecasting and model discovery. - Georgios Doulis
COFFEE - An MPI-parallelized Python package for the numerical evolution of differential equations. - Saulo Martiello Mastelini, Sylvio Barbon Jr., André Carlos Ponce de Leon Ferreira de Carvalho:
Online Multi-target regression trees with stacked leaf models. - Thomas L. Carroll, Louis M. Pecora:
Network Structure Effects in Reservoir Computers. - Elnaz Soleimani, Ehsan Nazerfard:
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks. - Zhan Yang, Osolo Ian Raymond, Wuqing Sun, Jun Long:
Asymmetric Deep Semantic Quantization for Image Retrieval. - Deepak Thukral, Darvesh Punia:
Crowd Sourced Data Analysis: Mapping of Programming Concepts to Syntactical Patterns. - Ronny Chevalier, Stefano Cristalli, Christophe Hauser, Yan Shoshitaishvili, Ruoyu Wang, Christopher Kruegel, Giovanni Vigna, Danilo Bruschi, Andrea Lanzi:
BootKeeper: Validating Software Integrity Properties on Boot Firmware Images. - Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse:
A Local Approach to Forward Model Learning: Results on the Game of Life Game. - Deval Bhamare, Mohammed Samaka, Aiman Erbad, Raj Jain, Lav Gupta:
Exploring Micro-Services for Enhancing Internet QoS. - Richard Taupe
Degrees of Laziness in Grounding: Effects of Lazy-Grounding Strategies on ASP Solving. - Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman:
Evaluating Built-in ECC of FPGA on-chip Memories for the Mitigation of Undervolting Faults. - Patrick Schnider:
Ham-Sandwich cuts and center transversals in subspaces. - Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu:
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent. - Matthew Mirman, Gagandeep Singh, Martin T. Vechev:
A Provable Defense for Deep Residual Networks. - Anurag Illendula, Amit P. Sheth:
Multimodal Emotion Classification. - Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain:
Shed More Light on Bloom Filter's Variants. - Hashem Ezzati, Mahmood Amintoosi, Hashem Tabasi:
An Upper Bound for Minimum True Matches in Graph Isomorphism with Simulated Annealing. - Kai Zhang, Wangmeng Zuo, Lei Zhang:
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels. - Zhe He, Adrian Spurr, Xucong Zhang, Otmar Hilliges:
Photo-realistic Monocular Gaze Redirection using Generative Adversarial Networks. - Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. - Areej Alokaili, Nikolaos Aletras, Mark Stevenson:
Re-Ranking Words to Improve Interpretability of Automatically Generated Topics. - Alireza Koochali, Peter Schichtel, Sheraz Ahmed, Andreas Dengel:
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN. - Aboobucker Ilmudeen, Yukun Bao:
What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators. - Lukas Holzbaur, Ragnar Freij-Hollanti, Camilla Hollanti:
On the Capacity of Private Information Retrieval from Coded, Colluding, and Adversarial Servers. - Bruno Tavares, Filipe Figueiredo Correia, André Restivo
A survey of blockchain frameworks and applications. - Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam, Omar Alqawasmeh, Claudia d'Amato, Amina Annane, Amr Azzam, Andrew Berezovskyi, Russa Biswas, Mathias Bonduel, Quentin Brabant, Cristina-Iulia Bucur, Elena Camossi, Valentina Anita Carriero, Shruthi Chari, David Chaves-Fraga, Fiorela Ciroku, Michael Cochez, Hubert Curien, Vincenzo Cutrona, Rahma Dandan, Danilo Dessì, Valerio Di Carlo, Ahmed El Amine Djebri, Marieke van Erp, Faiq Miftakhul Falakh, Alba Fernndez Izquierdo, Giuseppe Futia, Aldo Gangemi, Simone Gasperoni, Arnaud Grall, Lars Heling, Pierre Henri, Noura Herradi, Subhi Issa, Samaneh Jozashoori, Nyoman Juniarta, Lucie-Aimée Kaffee, Ilkcan Keles, Prashant Khare, Viktor Kovtun, Valentina Leone, Siying Li
Linked Open Data Validity - A Technical Report from ISWS 2018. - Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin:
Second Rethinking of Network Pruning in the Adversarial Setting. - Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi:
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. - Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri:
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. - Michael Luttenberger, Philipp J. Meyer, Salomon Sickert:
Practical Synthesis of Reactive Systems from LTL Specifications via Parity Games. - Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel:
Learning Relational Representations with Auto-encoding Logic Programs. - Casey Doyle, Zala Herga, Stephen Dipple, Boleslaw K. Szymanski, György Korniss, Dunja Mladenic:
Predicting complex user behavior from CDR based social networks. - Nikola Banic, Karlo Koscevic, Marko Subasic, Sven Loncaric:
CroP: Color Constancy Benchmark Dataset Generator. - Petar Radanliev
Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies. - Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt:
Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. - Emily J. Huang, Jukka-Pekka Onnela:
Activity Classification Using Smartphone Gyroscope and Accelerometer Data. - Wei Qionghua, Wang Hui, Wei Qiang:
Some Experimental Results of Relieving Discomfort in Virtual Reality by Disturbing Feedback Loop in Human Brain. - Laure Daviaud, Marcin Jurdzinski, Karoliina Lehtinen
Alternating Weak Automata from Universal Trees. - Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo:
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. - Brahim Chaourar:
Connected max cut is polynomial for graphs without $K_5\backslash e$ as a minor. - Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. - Masafumi Yamazaki, Akihiko Kasagi, Akihiro Tabuchi, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima:
Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds. - Jean Goubault-Larrecq:
Fooling the Parallel Or Tester with Probability $8/27$. - Maciej Skorski:
Bounds on Bayes Factors for Binomial A/B Testing. - Vejdi Hasanov:
Perturbation bounds for the matrix equation $X + A^* \widehat{X}^{-1} A = Q$. - Sebastiano Barbieri, Oliver J. Gurney-Champion, Remy Klaassen, Harriet C. Thoeny:
Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI. - Clement Lee
A Review of Stochastic Block Models and Extensions for Graph Clustering. - Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone:
GuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming. - Yu Bai, John C. Duchi, Song Mei:
Proximal algorithms for constrained composite optimization, with applications to solving low-rank SDPs. - Denis S. Krotov, Evgeny V. Gorkunov, Vladimir N. Potapov:
On the number of autotopies of an n-ary qusigroup of order 4. - Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li:
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention. - Julien M. Hendrickx, Balázs Gerencsér, Baris Fidan:
Trajectory convergence from coordinate-wise decrease of quadratic energy functions, and applications to platoons. - Katharina Kormann, Klaus Reuter, Markus Rampp:
A massively parallel semi-Lagrangian solver for the six-dimensional Vlasov-Poisson equation. - Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, Xin Gao:
Deep learning in bioinformatics: introduction, application, and perspective in big data era. - A. Roosing, O. T. Strickson, N. Nikiforakis:
Fast Distance Fields for Fluid Dynamics Mesh Generation on Graphics Hardware. - Hiva Ghanbari, Minhan Li, Katya Scheinberg:
Novel and Efficient Approximations for Zero-One Loss of Linear Classifiers. - Alena Kopanicáková, Rolf Krause:
Recursive multilevel trust region method with application to fully monolithic phase-field models of brittle fracture. - Nathaniel Trask, Benjamin Huntington, David J. Littlewood:
Asymptotically compatible meshfree discretization of state-based peridynamics for linearly elastic composite materials. - Nicola Bulso, Matteo Marsili, Yasser Roudi:
On the complexity of logistic regression models. - Noemi Kreif, Karla DiazOrdaz:
Machine learning in policy evaluation: new tools for causal inference. - Stanislav S. Borysov, Jeppe Rich:
Introducing Super Pseudo Panels: Application to Transport Preference Dynamics. - Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang:
Variational Quantum Circuit Model for Knowledge Graphs Embedding. - Shachar Lovett, Noam Solomon, Jiapeng Zhang:
From DNF compression to sunflower theorems via regularity. - Yulun Tian, Kasra Khosoussi
Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints. - Reza Hajargasht
Approximation Properties of Variational Bayes for Vector Autoregressions. - Yi Guo, Tyler H. Summers:
A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia. - Gafurjan I. Ibragimov, Bakh Khoussainov, Arno Pauly:
Computability Aspects of Differential Games in Euclidian Spaces. - P. Christopher Staecker:
Strong homotopy of digitally continuous functions. - Igor G. Vladimirov, Ian R. Petersen, Matthew R. James:
Lie-algebraic connections between two classes of risk-sensitive performance criteria for linear quantum stochastic systems. - Xiang Li, Wenhao Yang, Zhihua Zhang:
A Unified Framework for Regularized Reinforcement Learning. - Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein:
Lexicographically Ordered Multi-Objective Clustering. - Anne Greenbaum, Ren-Cang Li, Michael L. Overton:
First-order Perturbation Theory for Eigenvalues and Eigenvectors. - Kelvin Hsu, Fabio Ramos:
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference. - Huilan Zeng, Chensong Zhang, Shuo Zhang:
Optimal quadratic element on rectangular grids for H1 problems. - Mustapha Oudani:
Modelling the Incomplete Intermodal Terminal Location Problem. - Jonas Rothfuss, Fábio Ferreira, Simon Walther, Maxim Ulrich:
Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks. - Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley:
Artificial Counselor System for Stock Investment. - Ashok Cutkosky:
Anytime Online-to-Batch Conversions, Optimism, and Acceleration. - Sarthak Chatterjee
Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints. - Sarthak Chatterjee, Orlando Romero, Sérgio Pequito:
A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and its Implications to Closed-loop Neurotechnology. - Didong Li
Classification via local manifold approximation. - Shuo Han:
Systematic Design of Decentralized Algorithms for Consensus Optimization. - Sathishkumar Murugesan, Yen-Chen Liu:
Mixed-Triggered Reliable Control for Singular Networked Cascade Control Systems with Randomly Occurring Cyber Attack. - David Zeitlyn, Daniel W. Hook:
Perception, Prestige and PageRank. - Benedikt Ahrens, Dan Frumin
Bicategories in Univalent Foundations. - Frederik Bous, Axel Roebel:
Analysing Deep Learning-Spectral Envelope Prediction Methods for Singing Synthesis. - Chong-Jun Li, Yi-Jun Zhong:
Piecewise Sparse Recovery in Unions of Bases. - Yuma Kinoshita, Hitoshi Kiya:
Deep Inverse Tone Mapping Using LDR Based Learning for Estimating HDR Images with Absolute Luminance. - Mahyar Fazlyab, Manfred Morari, George J. Pappas:
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming. - Arvind Prasadan, Raj Rao Nadakuditi:
Time Series Source Separation using Dynamic Mode Decomposition. - Leif Bergerhoff, Joachim Weickert, Yehuda Dar:
Algorithms for Piecewise Constant Signal Approximations. - David Castro Piñol
Automatic Handgun Detection in X-ray Images using Bag of Words Model with Selective Search. - Florian Dumpert:
Quantitative Robustness of Localized Support Vector Machines. - Vaidy Sivaraman:
An application of the Gyárfás path argument. - Thomas Sauerwald, Luca Zanetti:
Random Walks on Dynamic Graphs: Mixing Times, HittingTimes, and Return Probabilities. - Sai Pushpak Nandanoori, Indrasis Chakraborty, Thiagarajan Ramachandran, Soumya Kundu:
Identification and Validation of Virtual Battery Model for Heterogeneous Devices. - Osman Emre Dai, Daniel Cullina, Negar Kiyavash:
Database Alignment with Gaussian Features. - Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai:
Interference Avoidance Position Planning in UAV-assisted Wireless Communication. - Yi Hao, Alon Orlitsky:
Data Amplification: Instance-Optimal Property Estimation. - Jun-Kun Wang, Xiaoyun Li, Ping Li:
Optimistic Adaptive Acceleration for Optimization. - Katherine R. Storrs, Nikolaus Kriegeskorte:
Deep Learning for Cognitive Neuroscience. - Tomás Masarík
Flexibility of planar graphs without 4-cycles. - Philipp Holl, L. Hauertmann, Béla Majorovits, Oliver Schulz, Maria Schuster, A. J. Zsigmond
Deep learning based pulse shape discrimination for germanium detectors. - Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli:
SGD without Replacement: Sharper Rates for General Smooth Convex Functions. - Adam Glos, Nikolajs Nahimovs, Konstantin Balakirev, Kamil Khadiev:
Upperbounds on the probability of finding marked connected components using quantum walks. - Abdelkerim Amari, Xiang Lin, Octavia A. Dobre, Ramachandran Venkatesan, Alex Alvarado:
A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation. - Dawei Gao, Qinghua Guo:
Extreme Learning Machine-Based Receiver for MIMO LED Communications. - Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz, Simo Särkkä, Moncef Gabbouj:
1D Convolutional Neural Network Models for Sleep Arousal Detection. - Johannes Müller, Michael Gabb, Michael Buchholz:
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety. - Bryse Flowers, R. Michael Buehrer, William C. Headley:
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications. - Hossein Nourkhiz Mahjoub, Behrad Toghi, S. M. Osman Gani, Yaser P. Fallah:
V2X System Architecture Utilizing Hybrid Gaussian Process-based Model Structures. - Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra:
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future. - Behnam Malmir, Shing I Chang, Malgorzata Rys, Dylan Darter:
Quantifying Gait Changes Using Microsoft Kinect and Sample Entropy. - Belinda Tzen, Maxim Raginsky:
Theoretical guarantees for sampling and inference in generative models with latent diffusions. - Zhaocheng Yang, Rodrigo C. de Lamare:
Study of Sparsity-Aware Reduced-Dimension Beam-Doppler Space-Time Adaptive Processing. - Huan Gao, Yongqiang Wang:
On the Global Synchronization of Pulse-coupled Oscillators Interacting on Chain and Directed Tree Graphs. - Sinan G. Aksoy, Kathleen E. Nowak, Stephen J. Young:
A linear-time algorithm and analysis of graph Relative Hausdorff distance. - Igor G. Vladimirov
Anisotropy-based robust performance criteria for statistically uncertain linear continuous time invariant stochastic systems. - Lu Zhong, Qingpeng Zhang, Dong Yang, Guanrong Chen, Shi Yu:
Analysing Motifs in Multilayer Networks. - Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa:
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage. - Afzal Ahmad, Muhammad Adeel Pasha:
Towards Design Space Exploration and Optimization of Fast Algorithms for Convolutional Neural Networks (CNNs) on FPGAs. - Markus Chimani, Martina Juhnke-Kubitzke, Alexander Nover, Tim Römer:
Cut Polytopes of Minor-free Graphs. - Célestin Coquidé
Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data. - Madeline Crews, Brant Jones, Kaitlyn Myers, Laura Taalman, Michael Urbanski, Breeann Wilson:
Opportunity costs in the game of best choice. - Gregor Gantner, Dirk Praetorius, Stefan Schimanko:
Adaptive isogeometric boundary element methods with local smoothness control. - Yingda Cheng, Jing Huang, Xiaozhou Li, Liwei Xu:
An interior penalty discontinuous Galerkin method for the time-domain acoustic-elastic wave interaction problem. - Sepideh Shamsizadeh, Sama Goliaei, Zahra Razaghi-Moghadam:
CAMIRADA: Cancer microRNA association discovery algorithm, a case study on breast cancer. - Péter Vrana:
Probabilistic refinement of the asymptotic spectrum of graphs. - Marit Hinnosaar, Toomas Hinnosaar, Michael E. Kummer, Olga Slivko:
Externalities in Knowledge Production: Evidence from a Randomized Field Experiment. - Fabio Durastante, Isabella Furci:
Spectral Analysis of Saddle-point Matrices from Optimization problems with Elliptic PDE Constraints. - Rogers Mathew, Ritabrata Ray, Shashank Srivastava:
Fractional cross intersecting families. - Gerhard Kitzler, Joachim Schöberl:
A spatial discontinuous Galerkin method with rescaled velocities for the Boltzmann equation. - Yang Li, Xueping Gu:
Feature Selection for Transient Stability Assessment Based on Improved Maximal Relevance and Minimal Redundancy Criterion. - Cristina Butucea, Amandine Dubois, Martin Kroll, Adrien Saumard:
Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids. - Yongli Zhu, Renchang Dai, Guangyi Liu, Chengxi Liu, Yiran Xu:
Optimal Battery Energy Storage Placement for Transient Voltage Stability Enhancement. - Hongyu Shen, Eliu A. Huerta, Zhizhen Zhao:
Deep Learning at Scale for Gravitational Wave Parameter Estimation of Binary Black Hole Mergers. - Grant Haskins, Uwe Kruger, Pingkun Yan:
Deep Learning in Medical Image Registration: A Survey. - Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler:
Size of Interventional Markov Equivalence Classes in Random DAG Models. - Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Limitations of Pinned AUC for Measuring Unintended Bias. - Ryan M. Corey, Naoki Tsuda, Andrew C. Singer:
Acoustic Impulse Responses for Wearable Audio Devices. - Verónica Becher, Olivier Carton, Ignacio Mollo Cunningham:
Low discrepancy sequences failing Poissonian pair correlations. - Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya:
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach. - Daniele Bartoli, Matteo Bonini:
Planar Polynomials arising from Linearized polynomials. - Sangwoo Park, Hyeryung Jang, Osvaldo Simeone, Joonhyuk Kang:
Learning How to Demodulate from Few Pilots via Meta-Learning. - Seungkyu Shin, Juyong Park:
Evolutionary Dynamics of Cultural Memes and Application to Massive Movie Data. - Bar Light, Gabriel Y. Weintraub:
Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics. - Antoine Paris, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe:
Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce. - Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
DeepTurbo: Deep Turbo Decoder. - Jonad Pulaj:
Characterizing 3-sets in Union-Closed Families. - Urtats Etxegarai, Eva Portillo, Jon Irazusta, Lucien Koefoed, Nikola K. Kasabov:
A heuristic approach for lactate threshold estimation for training decision-making: An accessible and easy to use solution for recreational runners. - Saeed Saremi, Aapo Hyvärinen:
Neural Empirical Bayes. - Daniel Kressner, Patrick Kürschner, Stefano Massei:
Low-rank updates and divide-and-conquer methods for quadratic matrix equations. - (Withdrawn) Orthogonal Structure Search for Efficient Causal Discovery from Observational Data.
- Roshan Gopalakrishnan:
RRAM based neuromorphic algorithms. - Mariah Schrum, Amanda Canezin, Sumana Chakravarty, Michelle Laskowski, Suat Coemert, Yunuscan Sevimli, Gregory S. Chirikjian, Stephen L. Hoffman, Russell H. Taylor:
An Efficient Production Process for Extracting Salivary Glands from Mosquitoes. - H. Sebastian Seung:
Convergence of gradient descent-ascent analyzed as a Newtonian dynamical system with dissipation. - Helena Mihaljevic, Marie-Françoise Roy:
A data analysis of women's trails among ICM speakers. - Andrew R. Romano, Lacra Pavel
Dynamic NE Seeking for Multi-Integrator Networked Agents with Disturbance Rejection. - Gabriel Loaiza-Ganem, John P. Cunningham:
Deep Random Splines for Point Process Intensity Estimation. - Tobias Weber, Robert Georgii, Peter Böni:
Takin: An open-source software for experiment planning, visualisation, and data analysis. - Shihao Ju, Syed Hashim Ali Shah, Muhammad Affan Javed, Jun Li, Girish Palteru, Jyotish Robin, Yunchou Xing, Ojas Kanhere, Theodore S. Rappaport:
Scattering Mechanisms and Modeling for Terahertz Wireless Communications. - Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal:
Adversarial Mixup Resynthesizers. - Soma Yokoi, Takuma Otsuka, Issei Sato:
On Transformations in Stochastic Gradient MCMC. - Yanfei Kang, Rob J. Hyndman, Feng Li:
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics. - Niklas Christoffer Petersen, Filipe Rodrigues, Francisco Câmara Pereira:
Multi-output Bus Travel Time Prediction with Convolutional LSTM Neural Network. - Silvia Zaoli, Piero Mazzarisi, Fabrizio Lillo:
Trip Centrality: walking on a temporal multiplex with non-instantaneous link travel time. - Srinivasan Arunachalam, Alex Bredariol Grilo, Aarthi Sundaram:
Quantum hardness of learning shallow classical circuits. - Gorka Muñoz-Gil, Miguel Ángel García-March, Carlo Manzo, José David Martín-Guerrero, Maciej Lewenstein:
Machine learning method for single trajectory characterization. - Daniel Tenbrinck, Fjedor Gaede, Martin Burger:
Variational Graph Methods for Efficient Point Cloud Sparsification. - Marcelo Garlet Millani, Raphael Steiner, Sebastian Wiederrecht:
Colouring Non-Even Digraphs. - Luca Falorsi, Pim de Haan, Tim R. Davidson, Patrick Forré:
Reparameterizing Distributions on Lie Groups. - Paul Anthony Haigh, Izzat Darwazeh:
Real-Time Experimental Demonstration of Multi-band CAP Modulation in a VLC System with Off-the-Shelf LEDs. - Marie-Agathe Charpagne, Florian Strub, Tresa M. Pollock:
Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm. - Kjetil O. Lye, Siddhartha Mishra, Deep Ray:
Deep learning observables in computational fluid dynamics. - Olivier Debeir, Justine Allard, Christine Decaestecker, Jean-Pierre Hermand:
Characterization of Posidonia Oceanica Seagrass Aerenchyma through Whole Slide Imaging: A Pilot Study. - Liuhui Zhao, A. M. Ishtiaque Mahbub, Andreas A. Malikopoulos:
Optimal Vehicle Dynamics and Powertrain Control for Connected and Automated Vehicles. - Hongyu Shen, Daniel George, Eliu A. Huerta, Zhizhen Zhao:
Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-Encoders. - Antonino Leonardis:
Hybrid Continued Fractions and n-adic algorithms, with applications to cryptography and "unimaginable' numbers. - (Withdrawn) Nowcasting Recessions using the SVM Machine Learning Algorithm.
- Christian Pieringer, Karim Pichara, Márcio Catelán
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves. - Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi:
Active learning for enumerating local minima based on Gaussian process derivatives. - Dominique Gay
Should we Reload Time Series Classification Performance Evaluation ? (a position paper). - Marco Landoni
Application of Google Cloud Platform in Astrophysics. - Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst Th. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken:
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system. - María J. Palazzi, Jordi Cabot, Javier Luis Cánovas Izquierdo, Albert Solé-Ribalta, Javier Borge-Holthoefer:
Online division of labour: emergent structures in Open Source Software. - Marcel Kvassay:
The meta-problem and the transfer of knowledge between theories of consciousness: a software engineer's take. - Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein:
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. - Malik Tiomoko, Romain Couillet:
Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions. - Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath:
Support and Invertibility in Domain-Invariant Representations. - Chenguang Zhang, Yuexian Hou, Dawei Song:
A Quantum Observation Scheme Can Universally Identify Causalities from Correlations. - Dorian Gorgan, Ovidiu Vaduvescu, Teodor Stefanut, Victor Bacu, Adrian Sabou, Denisa Copandean Balazs, Constantin Nandra, Costin Boldea, Afrodita Boldea, Marian Predatu, Viktoria Pinter, Adrian Stanica:
NEARBY Platform for Automatic Asteroids Detection and EURONEAR Surveys. - Leif Bergerhoff, Marcelo Cárdenas, Joachim Weickert, Martin Welk:
Stable Backward Diffusion Models that Minimise Convex Energies. - Victor Cohen, Axel Parmentier:
Two generalizations of Markov blankets. - David R. Burt, Carl E. Rasmussen, Mark van der Wilk:
Rates of Convergence for Sparse Variational Gaussian Process Regression. - Kristóf Bérczi, Tamás Schwarcz:
Complexity of packing common bases in matroids. - Mateusz Solinski, Michal Lepek, Lukasz Koltowski:
Automatic cough detection for portable spirometry system trained on large database. - Meena Jagadeesan:
Understanding Sparse JL for Feature Hashing. - Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim:
Imputation estimators for unnormalized models with missing data. - Mohit K. Sharma, Alessio Zappone, Mérouane Debbah, Mohamad Assaad:
Deep Learning Based Online Power Control for Large Energy Harvesting Networks. - Fande Kong, Yaqi Wang, Derek R. Gaston, Cody J. Permann, Andrew E. Slaughter, Alexander D. Lindsay, Richard C. Martineau:
A highly parallel multilevel Newton-Krylov-Schwarz method with subspace-based coarsening and partition-based balancing for the multigroup neutron transport equations on 3D unstructured meshes. - Kiril Solovey, Mauro Salazar
Scalable and Congestion-aware Routing for Autonomous Mobility-on-Demand via Frank-Wolfe Optimization. - Ye Wang, Toshiaki Koike-Akino
Learning to Modulate for Non-coherent MIMO. - Vishal Sharma
Control over Skies: Survivability, Coverage and Mobility Laws for Hierarchical Aerial Base Stations. - Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller:
Orthogonal Estimation of Wasserstein Distances. - Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz:
Interpolation Consistency Training for Semi-Supervised Learning. - Xubo Yue, Raed Kontar:
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes. - Seokhyun Chung, Raed Kontar:
Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data. - Ousmane Amadou Dia, Elnaz Barshan, Reza Babanezhad:
Manifold Preserving Adversarial Learning. - Xuhui Fan, Bin Li, Scott Anthony Sisson:
Rectangular Bounding Process. - Daquan Feng, Changyang She, Kai Ying, Lifeng Lai, Zhanwei Hou, Tony Q. S. Quek, Yonghui Li, Branka Vucetic:
Towards Ultra-Reliable Low-Latency Communications: Typical Scenarios, Possible Solutions, and Open Issues. - Bas Peters, Felix J. Herrmann:
Generalized Minkowski sets for the regularization of inverse problems. - Astrid Dahl, Edwin V. Bonilla:
Sparse Grouped Gaussian Processes for Solar Power Forecasting. - Weiqi Ji, Zhuyin Ren, Chung K. Law:
Uncertainty Propagation in Deep Neural Network Using Active Subspace. - Yu Chen, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio, Tom Diethe
β3-IRT: A New Item Response Model and its Applications. - Joeri Hermans
Likelihood-free MCMC with Approximate Likelihood Ratios. - Xin Chen, Wei Chu, Jinxi Guo, Ning Xu:
Singing voice conversion with non-parallel data. - Wouter M. Kouw, Silas N. Ørting, Jens Petersen, Kim Steenstrup Pedersen, Marleen de Bruijne:
A cross-center smoothness prior for variational Bayesian brain tissue segmentation. - Yong Sheng Soh, Venkat Chandrasekaran:
Fitting Tractable Convex Sets to Support Function Evaluations. - Andreas Joseph:
Shapley regressions: A framework for statistical inference on machine learning models. - Vladimir Edemskiy:
Note about the linear complexity of new generalized cyclotomic binary sequences of period 2pn. - Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang:
Adaptive Sample-Efficient Blackbox Optimization via ES-active Subspaces. - Klas Markström, Carsten Thomassen:
Partite Turán-densities for complete r-uniform hypergraphs on r+1 vertices. - Xinlei Yi, Xiuxian Li, Lihua Xie, Karl Henrik Johansson:
Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints. - Hongmei Wang, Zhenzhen Wu, Shuai Ma, Songtao Lu, Han Zhang, Guoru Ding, Shiyin Li:
Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics. - Eszter Bokányi, Dániel Kondor, Gábor Vattay:
Scaling in Words on Twitter. - Xiaohui Chen, Yun Yang:
Diffusion K-means clustering on manifolds: provable exact recovery via semidefinite relaxations. - Gayane Vardoyan, Saikat Guha, Philippe Nain, Don Towsley:
Performance Evaluation of a Quantum Entanglement Switch. - (Withdrawn) Augmenting expert detection of early coronary artery occlusion from 12 lead electrocardiograms using deep learning.
- Kanat S. Abdukhalikov:
Equivalence classes of Niho bent functions. - Selen Gecgel, Caner Goztepe, Gunes Karabulut-Kurt:
Transmit Antenna Selection for Massive MIMO-GSM with Machine Learning. - Ali Taylan Cemgil, Mehmet Burak Kurutmaz, Sinan Yildirim
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns. - Xin Wang, Mark M. Wilde, Yuan Su:
Quantifying the magic of quantum channels. - Iman Niazazari, Reza Jalilzadeh Hamidi, Hanif Livani, Reza Arghandeh:
Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning. - Anthony Bonato, Huda Chuangpishit, Sean English, Bill Kay, Erin Meger:
The Iterated Local Model for Social Networks. - Richard Galvez, David F. Fouhey, Meng Jin, Alexandre Szenicer, Andrés Muñoz-Jaramillo, Mark C. M. Cheung, Paul J. Wright
A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission. - Shaoyan Li, Xueping Gu, Guangqi Zhou, Yang Li:
Optimisation and Comprehensive Evaluation of Alternative Energising Paths for Power System Restoration. - Peidong Wang, Ke Tan, DeLiang Wang:
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling. - Ian A. D. Williamson, Tyler W. Hughes, Momchil Minkov, Ben Bartlett
Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks. - DianChao Lin, Li Li, Saif Eddin Jabari:
Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving. - Asad Haris, Noah Simon, Ali Shojaie:
Wavelet regression and additive models for irregularly spaced data. - Richa Tripathi, Amit Reza:
A subset selection based approach to finding important structure of complex networks. - Ruven Pillay, Jon Yngve Hardeberg, Sony George:
Hyperspectral Calibration of Art: Acquisition and Calibration Workflows. - Ian Colbert, Kenneth Kreutz-Delgado, Srinjoy Das:
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks. - Joseph E. Gaudio, Travis E. Gibson, Anuradha M. Annaswamy, Michael A. Bolender:
Accelerated Learning in the Presence of Time Varying Features with Applications to Machine Learning and Adaptive Control. - Takashi Minoshima, Takahiro Miyoshi, Yosuke Matsumoto:
A high-order weighted finite difference scheme with a multi-state approximate Riemann solver for divergence-free magnetohydrodynamic simulations. - Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön:
Elements of Sequential Monte Carlo. - Antoine Oustry, Matteo Tacchi, Didier Henrion
Inner approximations of the maximal positively invariant set for polynomial dynamical systems. - Sudhir K. Routray, Pallavi Mishra, Sutapa Sarkar, Abhishek Javali, Swathi Ramnath:
Communication Bandwidth for Emerging Networks: Trends and Prospects. - Alexander Marx
Testing Conditional Independence on Discrete Data using Stochastic Complexity. - Sudhir K. Routray, Abhishek Javali, Laxmi Sharma, Richa Tengshe, Sutapa Sarkar, Aritri Ghosh:
Satellite Based IoT for MC Applications. - Sudhir K. Routray, Habib Mohammed Hussein:
Narrowband IoT: An Appropriate Solution for Developing Countries. - Lotte Geck, Andre Kruth, Hendrik Bluhm, Stefan van Waasen, Stefan Heinen:
Control Electronics For Semiconductor Spin Qubits. - Mimi Chen, Jiajun Chen, Xiaojing Chen, Shunqing Zhang, Shugong Xu:
A Deep Learning Based Resource Allocation Scheme in Vehicular Communication Systems. - Angana Chakraborty, Sanghamitra Bandyopadhyay:
conLSH: Context based Locality Sensitive Hashing for Mapping of noisy SMRT Reads. - Aivar Sootla, Yang Zheng, Antonis Papachristodoulou:
Block Factor-Width-Two Matrices in Semidefinite Programming. - Robert L. Axtell, Omar A. Guerrero, Eduardo López:
Frictional Unemployment on Labor Flow Networks. - Zengde Deng, Anthony Man-Cho So:
An Efficient Augmented Lagrangian Based Method for Constrained Lasso. - Felix Poege, Dietmar Harhoff, Fabian Gaessler, Stefano Baruffaldi:
Science Quality and the Value of Inventions. - Galen Reeves, Jiaming Xu, Ilias Zadik:
The All-or-Nothing Phenomenon in Sparse Linear Regression. - Martin Burger, Yury Korolev
A total variation based regularizer promoting piecewise-Lipschitz reconstructions. - Michela Paganini:
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production. - Rustem Takhanov
Dimension reduction as an optimization problem over a set of generalized functions. - Zhengze Zhou, Giles Hooker:
Unbiased Measurement of Feature Importance in Tree-Based Methods. - Tom Diethe
Continual Learning in Practice. - Sadra Sadraddini, Russ Tedrake:
Linear Encodings for Polytope Containment Problems. - Congmei Jiang
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach. - Yong Zeng, Qingqing Wu, Rui Zhang:
Accessing From The Sky: A Tutorial on UAV Communications for 5G and Beyond. - Minhua Wu, Ken'ichi Kumatani, Shiva Sundaram, Nikko Strom, Björn Hoffmeister:
Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition. - Zhaohui Wei:
Analytic Semi-device-independent Entanglement Quantification for Bipartite Quantum States. - Yuval Dagan, Gil Kur:
The Log-Concave Maximum Likelihood Estimator is Optimal in High Dimensions. - Daniele Ancora, Luca Leuzzi:
Transmission Matrix Inference via Pseudolikelihood Decimation. - Hadrien Godard, Sourour Elloumi
Novel Approach Towards Global Optimality of Optimal Power Flow Using Quadratic Convex Optimization. - Sreeraj Rajendran, Vincent Lenders, Wannes Meert, Sofie Pollin:
Crowdsourced wireless spectrum anomaly detection. - Karim T. Abou-Moustafa, Csaba Szepesvári:
An Exponential Efron-Stein Inequality for Lq Stable Learning Rules. - Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah D. Goodman:
Variational Estimators for Bayesian Optimal Experimental Design. - Zsolt Adam Wagner:
Refuting conjectures in extremal combinatorics via linear programming. - Yuanbo Nie, Eric C. Kerrigan:
Efficient Implementation of Rate Constraints for Nonlinear Optimal Control. - Yan Wang, Xuelei Sherry Ni:
Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms. - Daniele Calandriello, Luigi Carratino
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. - Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa:
Phase-aware Harmonic/Percussive Source Separation via Convex Optimization. - Yoshiki Masuyama, Kohei Yatabe, Yasuhiro Oikawa:
Low-rankness of Complex-valued Spectrogram and Its Application to Phase-aware Audio Processing. - Guanyang Wang
A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior. - Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama:
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. - Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher Ré:
Learning Dependency Structures for Weak Supervision Models. - Stefano Baratella, Andrea Masini:
A two-dimensional metric temporal logic. - Michael Dymond, Vojtech Kaluza
Highly irregular separated nets. - Tim C. Kietzmann, Courtney J. Spoerer
Recurrence required to capture the dynamic computations of the human ventral visual stream. - Bajibabu Bollepalli, Lauri Juvela, Paavo Alku:
Generative adversarial network-based glottal waveform model for statistical parametric speech synthesis. - Hai-Jun Zhou:
The Rock-Paper-Scissors Game. - Issei Sato:
On Learning from Ghost Imaging without Imaging. - Rui Li, Howard D. Bondell, Brian J. Reich:
Deep Distribution Regression. - Grégoire Sergeant-Perthuis:
Bayesian/Graphoid intersection property for factorisation models. - Mark He, Joseph Glasser, Nathaniel Pritchard, Shankar Bhamidi, Nikhil Kaza:
Demarcating Geographic Regions using Community Detection in Commuting Networks. - Emmanuel Jeandel, Simon Perdrix, Renaud Vilmart:
Completeness of the ZX-Calculus. - Kuang Huang, Xuan Di, Qiang Du, Xi Chen:
A Game-Theoretic Framework for Autonomous Vehicles Velocity Control: Bridging Microscopic Differential Games and Macroscopic Mean Field Games. - Mary Cryan, Heng Guo, Giorgos Mousa:
Modified log-Sobolev inequalities for strongly log-concave distributions. - Bridget Eileen Tenner, Gregory S. Warrington:
Accumulation charts for instant-runoff elections. - Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. - Alok Kumar Bharati, Venkataramana Ajjarapu, Zhaoyu Wang:
Analysis of CVR Impact on Voltage Stability Margin using T&D Co-Simulation. - Eustrat Zhupa, Monika K. Polak:
Keyed hash function from large girth expander graphs. - Meng Li, Ron Goldman:
Limits of Sums for Binomial and Eulerian Numbers and their Associated Distributions. - Hirotaka Irie, Goragot Wongpaisarnsin, Masayoshi Terabe, Akira Miki, Shinichirou Taguchi:
Quantum Annealing of Vehicle Routing Problem with Time, State and Capacity. - Yitong Li, Michael Murias, Samantha Major, Geraldine Dawson, David E. Carlson:
On Target Shift in Adversarial Domain Adaptation. - Shailesh Chaudhari, Danijela Cabric:
Power Control and Frequency Band Selection Policies for Underlay MIMO Cognitive Radio. - Shailesh Chaudhari, Danijela Cabric:
QoS Aware Power Allocation and User Selection in Massive MIMO Underlay Cognitive Radio Networks. - Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. - Xuehua Yin, Xiuyan Sha, Chuancun Yin:
The CI-index: a new index to characterize the scientific output of researchers. - Sang Il Lee, Seong Joon Yoo:
Multimodal Deep Learning for Finance: Integrating and Forecasting International Stock Markets. - Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. - Ganna Platonova, Dalibor Stys, Pavel Soucek, Petr Machácek, Vladimir Kotal, Renata Rychtáriková:
Technically correct visualization of biological microscopic experiments. - Ken'ichi Kumatani, Minhua Wu, Shiva Sundaram, Nikko Strom, Björn Hoffmeister:
Multi-Geometry Spatial Acoustic Modeling for Distant Speech Recognition. - Victor-Emmanuel Brunel, Arnak S. Dalalyan, Nicolas Schreuder:
A nonasymptotic law of iterated logarithm for robust online estimators. - Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen:
Learning Latent Representations of Bank Customers With The Variational Autoencoder. - Manlio De Domenico, Eduardo G. Altmann
Unraveling the Origin of Social Bursts in Collective Attention. - Péter L. Erdös, Catherine S. Greenhill, Tamás Róbert Mezei, István Miklós, Daniel Soltész, Lajos Soukup:
The mixing time of the swap (switch) Markov chains: a unified approach. - Christoph Reisinger, Yufei Zhang:
Rectified deep neural networks overcome the curse of dimensionality for nonsmooth value functions in zero-sum games of nonlinear stiff systems. - Ekaterina Abramova, Derek W. Bunn:
Estimating Dynamic Conditional Spread Densities to Optimise Daily Storage Trading of Electricity. - Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubaga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations. - Balázs Dobi, András Zempléni:
Markov Chain-based Cost-Optimal Control Charts for Healthcare Data. - Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabás Póczos, Eric P. Xing:
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly. - Lu Lu, Yeonjong Shin, Yanhui Su, George E. Karniadakis:
Dying ReLU and Initialization: Theory and Numerical Examples. - Dario Paccagnan, Marco C. Campi:
The scenario approach meets uncertain variational inequalities and game theory. - P. Wesley Ryan, Alice Allen
Availability of Hyperlinked Resources in Astrophysics Papers. - Pranav Sharma, Bowen Huang, Umesh Vaidya, Venkataramana Ajjarapu:
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators. - Jineng Ren, Jarvis D. Haupt:
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems. - Anderson R. Avila, Hannes Gamper, Chandan K. A. Reddy, Ross Cutler, Ivan Tashev, Johannes Gehrke:
Non-intrusive speech quality assessment using neural networks. - Elahe Mousavi, Rahele Kafieh, Hossein Rabbani:
Classification of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography images using dictionary learning. - Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry A. Wasserman:
Nerve Theorem on a Positive Reach set. - Yang Wang, Benjamin F. Jones, Dashun Wang:
Early-career setback and future career impact. - Tom Leinster:
Entropy modulo a prime. - Kunal Garg, Dimitra Panagou:
Control-Lyapunov and Control-Barrier Functions based Quadratic Program for Spatio-temporal Specifications. - Pablo Arrighi, Cédric Bény
A quantum cellular automaton for one-dimensional QED. - Morteza Babaie, Hamid R. Tizhoosh:
Deep Features for Tissue-Fold Detection in Histopathology Images. - Wafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh:
Patch Clustering for Representation of Histopathology Images. - Arunselvan Ramaswamy:
DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme. - Maryam Aziz, Emilie Kaufmann, Marie-Karelle Riviere:
On Multi-Armed Bandit Designs for Phase I Clinical Trials. - Daryl R. DeFord, Daniel N. Rockmore:
On the Spectrum of Finite Rooted Homogeneous Trees. - Cheng-Yu Hung, Mostafa Kaveh:
Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid DoA Estimation. - Cheng-Yu Hung, Mostafa Kaveh:
Linearly Constrained Smoothing Group Sparsity Solvers in Off-grid Model. - Alastair Maxwell, Konrad J. Swanepoel:
Shortest directed networks in the plane. - Alok Shukla, Prakash Vedula:
A novel quantum grid search algorithm and its application. - Brahim Chaourar:
The facets of the spanning trees polytope. - Kurt Cutajar, Mark Pullin, Andreas C. Damianou, Neil D. Lawrence
Deep Gaussian Processes for Multi-fidelity Modeling. - Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer:
On Deep Set Learning and the Choice of Aggregations. - Jihwan Moon, Osvaldo Simeone, Seok-Hwan Park, Inkyu Lee:
Online Reinforcement Learning of X-Haul Content Delivery Mode in Fog Radio Access Networks. - Nupur Patanker, Sanjay Kumar Singh:
A Short Note on Self-Duality of Goppa Codes on Elliptic and Hyperelliptic Function Fields. - Mehran Makhtoumi:
Active Vibration Control of Launch Vehicle on Satellite Using Piezoelectric Stack Actuator. - Larry Bull:
Sex and Coevolution. - Carlos Gershenson, Vito Trianni, Justin Werfel, Hiroki Sayama:
Self-Organization and Artificial Life. - David Jones, Anja Schroeder, Geoff Nitschke:
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance. - Jan Hubicka, Colin Jahel, Matej Konecný, Marcin Sabok:
Extending partial automorphisms of n-partite tournaments. - Andris Ambainis, András Gilyén, Stacey Jeffery, Martins Kokainis:
Quadratic speedup for finding marked vertices by quantum walks. - Sean R. Bittner, John P. Cunningham:
Approximating exponential family models (not single distributions) with a two-network architecture. - Miguel Ibáñez-Berganza, Ambra Amico, Vittorio Loreto:
Subjectivity and complexity of facial attractiveness. - Ioannis E. Polykretis, Vladimir A. Ivanov, Konstantinos P. Michmizos:
Computational Astrocyence: Astrocytes encode inhibitory activity into the frequency and spatial extent of their calcium elevations. - Hossein A. Rahmani, Ali Reza Khanteymoori, Mohammad Hossein Olyaee:
Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters. - Pedro Hespanhol, Anil Aswani:
Surrogate Optimal Control for Strategic Multi-Agent Systems. - Yian Yin, Yang Wang, James A. Evans, Dashun Wang:
Quantifying dynamics of failure across science, startups, and security. - Aditya A. Ghodgaonkar, Ivan C. Christov:
Solving Nonlinear Parabolic Equations by a Strongly Implicit Finite-Difference Scheme. - Aliaksandr Hubin, Geir Storvik:
Combining Model and Parameter Uncertainty in Bayesian Neural Networks. - Roja Eini, Sherif Abdelwahed:
Indirect Adaptive Fuzzy Model Predictive Control of a Rotational Inverted Pendulum. - Matthew F. Dixon, Nicholas G. Polson:
Deep Fundamental Factor Models. - Rodrigo Iza-Teran, Jochen Garcke:
A Geometrical Method for Low-Dimensional Representations of Simulations. - Thomas Uriot:
Learning with Sets in Multiple Instance Regression Applied to Remote Sensing. - Lucas Maystre, Victor Kristof, Matthias Grossglauser:
Linear-Time Inference for Pairwise Comparisons with Gaussian-Process Dynamics. - Aleke Nolte, Lingyu Wang, Maciej Bilicki, Benne Holwerda, Michael Biehl:
Galaxy classification: A machine learning analysis of GAMA catalogue data. - James Allen Fill, Wei-Chun Hung:
QuickSort: Improved right-tail asymptotics for the limiting distribution, and large deviations. - Koki Nagao, Daichi Yanagisawa, Katsuhiro Nishinari:
Estimation of crowd density applying wavelet transform and machine learning. - Kunhee Ryu, Juhoon Back:
Distributed Kalman-filtering: Distributed optimization viewpoint. - Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. - Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang:
Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses. - Dimitris Kousoulidis, Fulvio Forni:
Finding cones for K-cooperative systems. - Nicolas Loizou, Peter Richtárik
Convergence Analysis of Inexact Randomized Iterative Methods. - Endre Grøvik, Darvin Yi, Michael Iv, Elisabeth Tong, Daniel L. Rubin, Greg Zaharchuk:
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI. - Andrea Santoro, Vincenzo Nicosia:
Algorithmic complexity of multiplex networks. - Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero, Isabelle Bloch, Jesús Angulo:
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks. - Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet:
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. - Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour:
Actuator Placement for Optimizing Network Performance under Controllability Constraints. - Corinne Jones, Vincent Roulet, Zaïd Harchaoui:
Kernel-based Translations of Convolutional Networks. - Vincent Huang, James Unwin:
Markov Chain Models of Refugee Migration Data. - Emma Fitzgerald, Michal Pióro, Fredrik Tufvesson:
Massive MIMO Optimization with Compatible Sets. - Raouf Dridi, Hedayat Alghassi, Sridhar R. Tayur:
Minimizing polynomial functions on quantum computers. - Wenbin Wan, Hunmin Kim, Naira Hovakimyan, Petros G. Voulgaris:
Attack-resilient Estimation for Linear Discrete-time Stochastic Systems with Input and State Constraints. - Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier:
Local Versus Global Distances for Zigzag Persistence Modules. - Bei Niu, Xin Zhang, Yuping Gao:
Equitable partition of plane graphs with independent crossings into induced forests. - Gábor Damásdi, Dániel Gerbner, Gyula O. H. Katona, Balázs Keszegh, Dániel Lenger, Abhishek Methuku, Dániel T. Nagy, Dömötör Pálvölgyi, Balázs Patkós, Máté Vizer, Gábor Wiener:
Adaptive Majority Problems for Restricted Query Graphs and for Weighted Sets. - José Gómez-Torrecillas, Erik Hieta-aho
Some remarks on non projective Frobenius algebras and linear codes. - Sunae So, Junsuk Rho:
Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks. - Yao-Li Chuang, Maria R. D'Orsogna:
Mathematical Models of Radicalization and Terrorism. - Juan Luis Gonzalez Bello, Munchurl Kim:
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning. - Peng Bao, Wenjun Xia, Kang Yang, Weiyan Chen, Mianyi Chen, Yan Xi, Shanzhou Niu, Jiliu Zhou, He Zhang, Huaiqiang Sun, Zhangyang Wang, Yi Zhang:
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction. - Dominic Kafka, Daniel N. Wilke
Visual interpretation of the robustness of Non-Negative Associative Gradient Projection Points over function minimizers in mini-batch sampled loss functions. - Trevor Hastie, Andrea Montanari, Saharon Rosset, Ryan J. Tibshirani:
Surprises in High-Dimensional Ridgeless Least Squares Interpolation. - Radoslav Fulek, Jan Kyncl:
Z_2-genus of graphs and minimum rank of partial symmetric matrices. - Frederik Heber, Zofia Trstanova, Benedict J. Leimkuhler:
TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications. - Pedro Hespanhol, Rien Quirynen:
Adjoint-based SQP Method with Block-wise quasi-Newton Jacobian Updates for Nonlinear Optimal Control. - Vien V. Mai, Mikael Johansson:
Noisy Accelerated Power Method for Eigenproblems with Applications. - Giulio Cerbai
Permutation patterns in genome rearrangement problems: the reversal model. - Maksim Kitsak, Ivan Voitalov, Dmitri V. Krioukov:
Link prediction with hyperbolic geometry. - Arash A. Amini, Marina S. Paez, Lizhen Lin, Zahra S. Razaee:
Exact slice sampler for Hierarchical Dirichlet Processes. - Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon:
Stochastic Optimization of Sorting Networks via Continuous Relaxations. - Tomas Iesmantas, Robertas Alzbutas:
Convolutional neural network for detection and classification of seizures in clinical data. - Xiwei Tang, Xuan Bi, Annie Qu:
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis. - Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Data-driven design of perfect reconstruction filterbank for DNN-based sound source enhancement. - Martin Burger, Lea Föcke, Lukas Nickel, Peter Jung, Sven Augustin:
Reconstruction Methods in THz Single-pixel Imaging. - Zofia Trstanova, Anton Martinsson, Charles Matthews, Sergio Jimenez, Benedict J. Leimkuhler, T. Van Delft, Michael Wilkinson:
Transferability of Operational Status Classification Models Among Different Wind Turbine Types. - Martin Keller-Ressel, Stephanie Nargang:
Hydra: A method for strain-minimizing hyperbolic embedding. - Antoine Aspeel, Damien Dasnoy, Raphaël M. Jungers, Benoît Macq:
Optimal Intermittent Measurements for Tumor Tracking in X-ray Guided Radiotherapy. - Jean Daunizeau:
Variational Bayesian modelling of mixed-effects. - Leo L. Duan:
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification. - Taiyao Wang, Ioannis Ch. Paschalidis:
Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions. - Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated deeply supervised networks for hippocampus segmentation in MRI. - Pedro Hespanhol, Rien Quirynen, Stefano Di Cairano:
A Structure Exploiting Branch-and-Bound Algorithm for Mixed-Integer Model Predictive Control. - Eike Petersen, Christian Hoffmann, Philipp Rostalski:
On Approximate Nonlinear Gaussian Message Passing On Factor Graphs. - Matthew Fickus, Courtney A. Schmitt:
Harmonic equiangular tight frames comprised of regular simplices. - Chris Finlay, Adam M. Oberman:
Empirical confidence estimates for classification by deep neural networks. - Taiyao Wang, Ioannis Ch. Paschalidis:
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models. - Alice Schoenauer Sebag, Louise Heinrich, Marc Schoenauer, Michèle Sebag, Lani F. Wu, Steven J. Altschuler:
Multi-Domain Adversarial Learning. - Chandan Pradhan, Ang Li
Hybrid Precoder and Combiner for Imperfect Beam Alignment in mmWave MIMO Systems. - Edgar Dobriban, Yue Sheng:
One-shot distributed ridge regression in high dimensions. - Xuhui Fan, Bin Li, Scott Anthony Sisson:
The Binary Space Partitioning-Tree Process. - Xuhui Fan, Bin Li, Scott Anthony Sisson:
Binary Space Partitioning Forests. - Simon Couch, Zeki Kazan, Kaiyan Shi, Andrew Bray, Adam Groce:
Differentially Private Nonparametric Hypothesis Testing. - Ruimeng Hu:
Deep Fictitious Play for Stochastic Differential Games. - Dominic Kafka, Daniel N. Wilke
Gradient-only line searches: An Alternative to Probabilistic Line Searches. - Yuriria Cortes-Poza, J. Rogelio Perez-Buendia:
Forest structure in epigenetic landscapes. - Kurt Izak Cabanilla, Kevin Thomas Go:
Impulse Response and Granger Causality in Dynamical Systems with Autoencoder Nonlinear Vector Autoregressions. - Régis Blache, Alain Couvreur, Emmanuel Hallouin, David Madore, Jade Nardi, Matthieu Rambaud, Hugues Randriam:
Anticanonical codes from del Pezzo surfaces with Picard rank one. - Simon Wein, Ana Maria Tomé, Markus Goldhacker, Mark W. Greenlee, Elmar Wolfgang Lang:
A constrained ICA-EMD Model for Group Level fMRI Analysis. - Luis Roque, Cristina A. C. Fernandes
Optimal Combination Forecasts on Retail Multi-Dimensional Sales Data. - Hiroaki Adachi, Yoko Kawamura, Keiji Nakagawa, Ryoichi Horisaki, Issei Sato, Satoko Yamaguchi, Katsuhito Fujiu, Kayo Waki, Hiroyuki Noji, Sadao Ota:
Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics. - Manuel Baltieri, Christopher L. Buckley:
Nonmodular architectures of cognitive systems based on active inference. - Martin Geier
Cost-effective Energy Monitoring of a Zynq-based Real-time System including dual Gigabit Ethernet. - Yujie Tang, Guannan Qu, Na Li:
Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. - Ming Tu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou:
Towards adversarial learning of speaker-invariant representation for speech emotion recognition. - Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher:
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. - Stefano Carrazza, Frédéric A. Dreyer:
Jet grooming through reinforcement learning. - Yuexi Wang, Nicholas G. Polson, Vadim O. Sokolov:
Scalable Data Augmentation for Deep Learning. - Ahmed S. Zamzam, Nicholas D. Sidiropoulos:
Physics-Aware Neural Networks for Distribution System State Estimation. - Vladimir A. Ivanov, Ioannis E. Polykretis, Konstantinos P. Michmizos:
Axonal Conduction Velocity Impacts Neuronal Network Oscillations. - Keaton Hamm, Longxiu Huang:
CUR Decompositions, Approximations, and Perturbations. - Bryan C. Daniels, Pawel Romanczuk:
Quantifying the impact of network structure on speed and accuracy in collective decision-making. - Efstathios D. Gennatas, Jerome H. Friedman, Lyle H. Ungar, Romain Pirracchio, Eric Eaton, L. Reichman, Yannet Interian, Charles B. Simone II, A. Auerbach, E. Delgado, Mark J. van der Laan, Timothy D. Solberg, Gilmer Valdes:
Expert-Augmented Machine Learning. - Balázs Csanád Csáji, Ambrus Tamás:
Semi-Parametric Uncertainty Bounds for Binary Classification. - Renato Luís Garrido Cavalcante, Qi Liao, Slawomir Stanczak:
Connections between spectral properties of asymptotic mappings and solutions to wireless network problems. - Pawel Lorek, Grzegorz Los, Karol Gotfryd, Filip Zagórski:
On testing pseudorandom generators via statistical tests based on the arcsine law. - Jan Hubicka, Jaroslav Nesetril, Pablo Oviedo:
Density and Fractal Property of the Class of Oriented Trees. - Jingwen Bai, Shu-Ping Yeh, Feng Xue, Yang-Seok Choi, Ping Wang, Shilpa Talwar:
Full-duplex in 5G Small Cell Access: SystemDesign and Performance Aspects. - Chenglin Xu, Wei Rao, Eng Siong Chng, Haizhou Li:
Optimization of Speaker Extraction Neural Network with Magnitude and Temporal Spectrum Approximation Loss. - Sudhir K. Routray, Habib H. Mohammed:
Core Access Hybridization in 5G. - Saptarshi Chakraborty, Swagatam Das:
A Strongly Consistent Sparse k-means Clustering with Direct l1 Penalization on Variable Weights. - Kenta Oono, Taiji Suzuki:
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks. - Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani:
A Higher-Order Kolmogorov-Smirnov Test. - Anthony Bonato, Jane Breen, Boris Brimkov, Joshua Carlson, Sean English, Jesse Geneson, Leslie Hogben, K. E. Perry, Carolyn Reinhart:
Cop throttling number: Bounds, values, and variants. - Nobuki Takayama, Lin Jiu, Satoshi Kuriki, Yi Zhang:
Computations of the Expected Euler Characteristic for the Largest Eigenvalue of a Real Wishart Matrix. - Tomohiro Nishiyama
Inequalities between Lp-norms for log-concave distributions. - Oliver Knill:
A Reeb sphere theorem in graph theory. - Seunghoan Song, Masahito Hayashi:
Capacity of Quantum Private Information Retrieval with Multiple Servers. - Evgeniy O. Kiktenko, Aleksei O. Malyshev, Maxim A. Gavreev, Anton A. Bozhedarov, Nikolay O. Pozhar, Maxim N. Anufriev, Aleksey K. Fedorov:
Lightweight authentication for quantum key distribution. - Benjamin F. Dribus, A. Sumner, K. Bist, N. Regmi, J. Sircar, S. Upreti:
Network Horizon Dynamics I: Qualitative Aspects. - Sergey P. Shary:
Numerical computation of formal solutions to interval linear systems of equations. - Huy N. Chau, Miklós Rásonyi:
Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Learning in the Big Data Regime. - Yao Qin, Nicholas Carlini, Ian J. Goodfellow, Garrison W. Cottrell, Colin Raffel:
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition. - Filiberto Fele
Probabilistic sensitivity of Nash equilibria in multi-agent games: a wait-and-judge approach. - Sushrut Thorat, Marcel van Gerven, Marius V. Peelen:
The functional role of cue-driven feature-based feedback in object recognition. - Iasson Karafyllis, Miroslav Krstic:
Global Stabilization of a Class of Nonlinear Reaction-Diffusion PDEs by Boundary Feedback. - Kjersti Aas, Martin Jullum, Anders Løland:
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values. - Tara Brough, Alan J. Cain, Markus Pfeiffer:
Context-free word problem semigroups. - Xusheng Luo, Miroslav Pajic, Michael M. Zavlanos:
A Scalable and Optimal Graph-Search Method for Secure State Estimation. - Nengkun Yu, Ching-Yi Lai
Protocols for Packet Quantum Network Intercommunication. - Yuki Yamanaka, Tomoharu Iwata, Hiroshi Takahashi, Masanori Yamada, Sekitoshi Kanai:
Autoencoding Binary Classifiers for Supervised Anomaly Detection. - Anshul Thakur, Daksh Thapar, Padmanabhan Rajan, Aditya Nigam:
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss. - Sourav Mishra
Improving image classifiers for small datasets by learning rate adaptations. - Roland Ritt
Simultaneous Approximation of Measurement Values and Derivative Data using Discrete Orthogonal Polynomials. - Tiago P. Peixoto:
Network reconstruction and community detection from dynamics. - Yuchi Zhang, Yongliang Wang, Liping Zhang, Zhiqiang Zhang, Kun Gai:
Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder. - Anupama Govinda Raj, James H. McClellan:
Super-Resolution DOA Estimation for Arbitrary Array Geometries Using a Single Noisy Snapshot. - Daryus Chandra, Zunaira Babar, Soon Xin Ng, Lajos Hanzo:
Near-Hashing-Bound Multiple-Rate Quantum Turbo Short-Block Codes. - Shin Nishio, Yulu Pan, Takahiko Satoh, Hideharu Amano, Rodney Van Meter:
Extracting Success from IBM's 20-Qubit Machines Using Error-Aware Compilation. - Alexander Russkov, Lev N. Shchur:
Matrix multiplication and universal scalability of the time on the Intel Scalable processors. - Sriramkrishnan Muralikrishnan, Tan Bui-Thanh, John N. Shadid:
A Multilevel Approach for Trace System in HDG Discretizations. - Kim Nicoli
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. - Sarah Hojjatinia, Constantino M. Lagoa:
Identification of Markov Jump Autoregressive Processes from Large Noisy Data Sets. - Hassnaa El-Derhalli, Sébastien Le Beux, Sofiène Tahar:
Stochastic Computing with Integrated Optics. - Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos:
Energy Storage Management via Deep Q-Networks. - Franz-Erich Wolter, Benjamin Berger:
Differential Geometric Foundations for Power Flow Computations. - Taruna Agrawal, Rahul Gupta, Shrikanth S. Narayanan:
On evaluating CNN representations for low resource medical image classification. - Curtis Atkisson, Piotr J. Górski, Matthew O. Jackson, Janusz A. Holyst, Raissa M. D'Souza:
Why understanding multiplex social network structuring processes will help us better understand the evolution of human behavior. - Bas Peters, Eldad Haber, Justin Granek:
Neural-networks for geophysicists and their application to seismic data interpretation. - Erhan Bayraktar, Lifeng Lai:
On the Adversarial Robustness of Multivariate Robust Estimation. - Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Eigenvalue and Generalized Eigenvalue Problems: Tutorial. - James Anderson, Nikolai Matni, Yuxiao Chen:
Sparsity Preserving Discretization With Error Bounds. - Shenwei Huang, T. Karthick:
On graphs with no induced five-vertex path or paraglider. - Alexander Engelmann, Yuning Jiang, Boris Houska, Timm Faulwasser:
Decomposition of non-convex optimization via bi-level distributed ALADIN. - Mateusz Skomra
Convexly independent subsets of Minkowski sums of convex polygons. - Naresh Sharma:
Comment on "Conditional Decoupling of Quantum Information". - Marco Mancastroppa
Burstiness in activity-driven networks and the epidemic threshold. - Mario Alonzo, Stefano Buzzi, Alessio Zappone, Ciro D'Elia:
Energy-Efficient Power Control in Cell-Free and User-Centric Massive MIMO at Millimeter Wave. - Dalit Engelhardt:
Dynamic Control of Stochastic Evolution: A Deep Reinforcement Learning Approach to Adaptively Targeting Emergent Drug Resistance. - Shuai Ma, Jiahui Dai, Songtao Lu, Hang Li, Han Zhang, Chun Du, Shiyin Li:
Signal Demodulation with Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset and Algorithms. - Iikka Virkkunen, Tuomas Koskinen, Oskari Jessen-Juhler, Jari Rinta-Aho:
Augmented Ultrasonic Data for Machine Learning. - Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. - Milena B. Cukic Radenkovic:
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study. - Peipei Tang, Chengjing Wang, Defeng Sun, Kim-Chuan Toh:
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems. - Vaidy Sivaraman, Stephen Testa:
Cop number of 2K2-free graphs. - Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou:
An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. - Stephen Baek, Yusen He, Bryan G. Allen, John M. Buatti, Brian J. Smith, Kristin A. Plichta, Steven N. Seyedin, Maggie Gannon, Katherine R. Cabel, Yusung Kim, Xiaodong Wu:
What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival. - Tomás M. Coronado, Francesc Rosselló:
The minimum value of the Colless index. - Vasileios Tzoumas, Pasquale Antonante, Luca Carlone:
Outlier-Robust Spatial Perception: Hardness, General-Purpose Algorithms, and Guarantees. - Emanuel Laude, Tao Wu, Daniel Cremers:
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems. - Carel F. W. Peeters, Caroline Übelhör, Steven W. Mes, Roland Martens, Thomas Koopman
Stable prediction with radiomics data. - Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy:
Recurrent Neural Networks For Accurate RSSI Indoor Localization. - Zhenwei Zhang, Ervin Sejdic:
Radiological images and machine learning: trends, perspectives, and prospects. - Jim Madge, Giovanni Colavizza, James Hetherington, Weisi Guo, Alan Wilson:
Simulating Imperial Dynamics and Conflict in the Ancient World. - Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova:
Cherenkov Detectors Fast Simulation Using Neural Networks. - Mattia Brambilla, Monica Nicoli, Sergio M. Savaresi, Umberto Spagnolini:
Inertial Sensor Aided mmWave Beam Tracking to Support Cooperative Autonomous Driving. - Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh:
Meta-Learning surrogate models for sequential decision making. - Kristoffer Arnsfelt Hansen
A Stay-in-a-Set Game without a Stationary Equilibrium. 83-90 - Si Chen, Guo-Hua Peng, Xingshi He, Xin-She Yang:
The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory. - Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini:
On the Stability and Generalization of Learning with Kernel Activation Functions. - Nasir Saeed, Mohamed-Slim Alouini
To boldly go where no sensor has gone before: The movement to place IoT in radical new spaces. - Xiangyan Tang, Liang Wang, Jieren Cheng, Jing Chen:
Forecasting model based on information-granulated GA-SVR and ARIMA for producer price index. - Pietro Rotondo
Counting the learnable functions of structured data. - Miklós Z. Rácz, Benjamin Schiffer:
Finding a planted clique by adaptive probing. - Lanhua You, Wu Guo, Lirong Dai, Jun Du:
Deep Neural Network Embedding Learning with High-Order Statistics for Text-Independent Speaker Verification. - Lais Baroni, Reinaldo Mozart Da Gama e Silva, Rodrigo S. Ferreira, Daniel Civitarese, Daniela Szwarcman, Emilio Vital Brazil:
Penobscot Dataset: Fostering Machine Learning Development for Seismic Interpretation. - Jean-Marc Valin, Jan Skoglund:
A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet. - Lanhua You, Wu Guo, Lirong Dai, Jun Du:
Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification. - Haoyu Wang, Yawen Guan, Brian J. Reich:
Nearest-Neighbor Neural Networks for Geostatistics. - Prathosh A. P., Varun Srivastava, Mayank Mishra:
Adversarial Approximate Inference for Speech to Electroglottograph Conversion. - Rosdyana Mangir Irawan Kusuma, Trang-Thi Ho, Wei-Chun Kao, Yu-Yen Ou, Kai-Lung Hua:
Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market. - Mohammadreza Mousaei:
Efficient Use of Spectral Resources in Wireless Communication Using Training Data Optimization. - Dario Pilori
Digital Signal Processing Techniques for High-Speed Optical Communications Links. - Maciej Mikulski, Jaroslaw Duda:
Toroidal AutoEncoder. - Jean Feng, Noah Simon:
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression. - Yi Zhao, Atsushi Ando, Shinji Takaki, Junichi Yamagishi, Satoshi Kobashikawa:
Does the Lombard Effect Improve Emotional Communication in Noise? - Analysis of Emotional Speech Acted in Noise -. - Liam Hodgkinson, Robert Salomone, Fred (Farbod) Roosta:
Implicit Langevin Algorithms for Sampling From Log-concave Densities. - Michael C. H. Choi, Chihoon Lee, Jian Song:
Entropy flow and De Bruijn's identity for a class of stochastic differential equations driven by fractional Brownian motion. - Erik Nijkamp, Mitch Hill, Tian Han, Song-Chun Zhu, Ying Nian Wu:
On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models. - Antje Klopp, Eckhard Steffen:
Fractional matchings and component-factors of (edge-chromatic critical) graphs. - Peng Zhang, Leyang Xue, An Zeng:
Predictability of diffusion-based recommender systems. - Mingyang Zhang, Xin Wang, Fuming Fang, Haizhou Li, Junichi Yamagishi:
Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet. - Shinji Takaki, Hirokazu Kameoka, Junichi Yamagishi:
Training a Neural Speech Waveform Model using Spectral Losses of Short-Time Fourier Transform and Continuous Wavelet Transform. - Laura von Rüden, Sebastian Mayer, Jochen Garcke, Christian Bauckhage, Jannis Schücker:
Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. - François Dubois:
Nonlinear fourth order Taylor expansion of lattice Boltzmann schemes. - Vasilios Mavroudis:
Market Manipulation as a Security Problem. - Alexander Katriniok, Stefan Kojchev, Erjen Lefeber, Henk Nijmeijer:
A Stochastic Model Predictive Control Approach for Driver-Aided Intersection Crossing With Uncertain Driver Time Delay. - Yo-Seb Jeon, Namyoon Lee, H. Vincent Poor:
Robust Data Detection for MIMO Systems with One-Bit ADCs: A Reinforcement Learning Approach. - Seunghoan Song, Masahito Hayashi:
Capacity of Quantum Private Information Retrieval with Collusion of All But One of Servers. - Daniel W. Cranston, Matthew P. Yancey:
Sparse graphs are near-bipartite. - Luana Ruiz, Fernando Gama, Antonio G. Marques, Alejandro Ribeiro:
Invariance-Preserving Localized Activation Functions for Graph Neural Networks. - Erik Drysdale, Yingwei Peng, Timothy P. Hanna, Paul Nguyen, Anna Goldenberg:
The False Positive Control Lasso. - Flavio Maschietti, David Gesbert, Paul de Kerret:
Coordinated Beam Selection in Millimeter Wave Multi-User MIMO Using Out-of-Band Information. - Marek Rychlik:
A proof of convergence of multi-class logistic regression network. - Erkki Jantunen, Urko Zurutuza, Luis Lino Ferreira, Pál Varga:
Optimising maintenance: What are the expectations for Cyber Physical Systems. - Joaquim Dias Garcia
Modelling power markets with multi-stage stochastic Nash equilibria. - Adriana Coutinho, Rodrigo Lambert, Jérôme Rousseau:
Matching strings in encoded sequences. - Laurent Lyaudet:
On finite width questionable representations of orders.
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