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CoRR, July 2018
- Eun-Young Kang
, Dongrui Mu, Li Huang:
Probabilistic Analysis of Weakly-Hard Real-Time Systems. - Serhiy O. Semerikov, Illia O. Teplytskyi, Yuliia V. Yechkalo:
Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. - Hanshen Xiao, Guoqiang Xiao:
On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers. - Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You:
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. - Matthew P. Johnson:
Deciding the Closure of Inconsistent Rooted Triples is NP-Complete. - Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
An Efficient Data Warehouse for Crop Yield Prediction. - Julián Vicens, Josep Perelló, Jordi Duch:
Citizen Social Lab: A digital platform for human behaviour experimentation within a citizen science framework. - Jelena Milosevic, Dexmont Peña, Andrew Forembsky, David Moloney, Miroslaw Malek:
It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems. - Matt Luckcuck, Marie Farrell, Louise A. Dennis, Clare Dixon, Michael Fisher:
Formal Specification and Verification of Autonomous Robotic Systems: A Survey. - Anand Venkatesan, Atishay Jain, Rakesh Grewal:
AI in Game Playing: Sokoban Solver. - Sanja Krakan, Luka Humski, Zoran Skocir:
Determination of Friendship Intensity between Online Social Network Users Based on Their Interaction. - Wenqi Wei, Ling Liu, Stacey Truex, Lei Yu, Mehmet Emre Gursoy:
Adversarial Examples in Deep Learning: Characterization and Divergence. - Kai Wan, Daniela Tuninetti
Fundamental Limits of Distributed Data Shuffling. - Pushpak Jagtap, Sadegh Soudjani, Majid Zamani:
Temporal Logic Verification of Stochastic Systems Using Barrier Certificates. - Alan Jeffrey:
Josephine: Using JavaScript to safely manage the lifetimes of Rust data. - Nadine Kroher, Aggelos Pikrakis:
Exploratory Analysis of a Large Flamenco Corpus using an Ensemble of Convolutional Neural Networks as a Structural Annotation Backend. - Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Lexing Xie:
GOTO Rankings Considered Helpful. - Joo-Kyung Kim, Young-Bum Kim:
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. - Ralf-Peter Mundani, Jérôme Frisch, Vasco Varduhn, Ernst Rank:
A sliding window technique for interactive high-performance computing scenarios. - Braden Hancock, Hongrae Lee, Cong Yu:
Title Generation for Web Tables. - Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa, Massimiliano Di Ventra:
Stress-testing memcomputing on hard combinatorial optimization problems. - Tianyuan Sun, Yongcai Wang, Deying Li, Wenping Chen, Zhaoquan Gu:
Robust Component-based Network Localization with Noisy Range Measurements. - Piotr Indyk, Tal Wagner:
Approximate Nearest Neighbors in Limited Space. - Junyeong Seo, Youngchul Sung, Hamid Jafarkhani:
A High-Diversity Transceiver Design for K-User MISO Broadcast Channels. - Yong Liu, Ruiping Wang, Shiguang Shan, Xilin Chen:
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships. - Koji M. Kobayashi:
An optimal algorithm for 2-bounded delay buffer management with lookahead. - Sanaz Bahargam, Evangelos E. Papalexakis:
A Constrained Coupled Matrix-Tensor Factorization for Learning Time-evolving and Emerging Topics. - Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Modeling Mistrust in End-of-Life Care. - Abigail Paradise, Dvir Cohen, Asaf Shabtai, Rami Puzis:
Generation of Automatic and Realistic Artificial Profiles. - Jason Ramapuram, Russ Webb:
A New Benchmark and Progress Toward Improved Weakly Supervised Learning. - Andrei-Alexandru Agape, Madalin Claudiu Danceanu, René Rydhof Hansen, Stefan Schmid:
Charting the Security Landscape of Programmable Dataplanes. - Sharath Adavanne, Archontis Politis, Joonas Nikunen, Tuomas Virtanen:
Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks. - Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola:
Game-Theoretic Interpretability for Temporal Modeling. - Kannan Balakrishnan, Divya Sindhu Lekha:
Generalized Vertex Transitivity in Graphs. - Paola Giannini, Marco Servetto, Elena Zucca, James Cone:
Flexible recovery of uniqueness and immutability (Extended Version). - Chun-Hung Cheng, Iyiola E. Olatunji:
Harnessing constrained resources in service industry via video analytics. - Li Liu, Jiasong Wu, Dengwang Li, Lotfi Senhadji, Huazhong Shu:
Fractional Wavelet Scattering Network and Applications. - Jérôme Frisch, Ralf-Peter Mundani:
Measuring and comparing the scaling behaviour of a high-performance CFD code on different supercomputing infrastructures. - Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang:
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria. - Nevena Perovic, Jérôme Frisch, Ralf-Peter Mundani, Ernst Rank:
Interactive data exploration for high-performance fluid flow computations through porous media. - Cyril Grunspan, Ricardo Pérez-Marco:
Ant routing algorithm for the Lightning Network. - Cristina Conati, Kaska Porayska-Pomsta, Manolis Mavrikis:
AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling. - Artur Poplawski:
Self-consistency of voting implies majority vote. - Ted Underwood:
The Historical Significance of Textual Distances. - Yuanliang Chen, Yu Jiang, Jie Liang, Mingzhe Wang, Xun Jiao:
EnFuzz: From Ensemble Learning to Ensemble Fuzzing. - S. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman:
Benchmarking the Hill-Valley Evolutionary Algorithm for the GECCO 2018 Competition on Niching Methods Multimodal Optimization. - Pedro A. Ortega, Shane Legg:
Modeling Friends and Foes. - Christina Wadsworth, Francesca Vera, Chris Piech:
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction. - Yu Liu, Guanlong Zhao, Boyuan Gong, Yang Li, Ritu Raj, Niraj Goel, Satya Kesav, Sandeep Gottimukkala, Zhangyang Wang, Wenqi Ren, Dacheng Tao:
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study. - Ibrahim Numanagic, Alim S. Gökkaya, Lillian Zhang, Bonnie Berger, Can Alkan, Faraz Hach:
Fast Characterization of Segmental Duplications in Genome Assemblies. - Elahe Rezaei, Hafez Eslami Manoochehri, Babak Hossein Khalaj:
Multi-agent Learning for Cooperative Large-scale Caching Networks. - Luka Humski, Damir Pintar, Mihaela Vranic:
Exploratory Analysis of Pairwise Interactions in Online Social Networks. - Serhiy O. Semerikov, Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko:
Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. - Kamel Abdelouahab, François Berry, Maxime Pelcat:
The Challenge of Multi-Operand Adders in CNNs on FPGAs: How not to solve it! - Nitish Mital, Katina Kralevska, Deniz Gündüz, Cong Ling:
Storage-Repair Bandwidth Trade-off for Wireless Caching with Partial Failure and Broadcast Repair. - Farshid Alambeigi, Mahsan Bakhtiarinejad, Armina Azizi, Rachel Hegeman, Iulian Iordachita, Harpal Khanuja, Mehran Armand:
Inroads Toward Robot-Assisted Internal Fixation of Bone Fractures Using a Bendable Medical Screw and the Curved Drilling Technique. - Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding Models for Episodic Memory. - Bruno Korbar, Du Tran, Lorenzo Torresani:
Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization. - Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems. - Hayoung Choi, Hosoo Lee, Yifei Shen, Yuanming Shi:
Comparing large-scale graphs based on quantum probability theory. - Chaojing Duan, Siheng Chen, Jelena Kovacevic:
Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes. - Jochen L. Leidner:
Information Retrieval in the Cloud. - Dongdong Jiang, Ying Cui:
Analysis and Optimization of Caching and Multicasting for Multi-Quality Videos in Large-Scale Wireless Networks. - Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon:
Accurate Uncertainties for Deep Learning Using Calibrated Regression. - Raghav Gupta, Abhinav Rastogi, Dilek Hakkani-Tür:
An Efficient Approach to Encoding Context for Spoken Language Understanding. - Michael Honke, Rahul Iyer, Dishant Mittal:
Photorealistic Style Transfer for Videos. - Fangchang Ma, Guilherme Venturelli Cavalheiro, Sertac Karaman:
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera. - Andrii Striuk, Maryna Rassovytska, Svitlana V. Shokaliuk:
Using Blippar Augmented Reality Browser in the Practical Training of Mechanical Engineers. - Shahriar Sefati, Ryan J. Murphy, Farshid Alambeigi, Michael Pozin, Iulian Iordachita, Russell H. Taylor, Mehran Armand:
FBG-Based Control of a Continuum Manipulator Interacting With Obstacles. - Benteng Ma, Yong Xia:
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification. - Manuel Mager, Elisabeth Mager, Alfonso Medina Urrea, Iván Meza, Katharina Kann:
Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages. - Weinan E, Qingcan Wang:
Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions. - Junping Wang, Wensheng Zhang, Ian Thomas, Shihui Duan, Youkang Shi:
Multi-Task Generative Adversarial Nets with Shared Memory for Cross-Domain Coordination Control. - Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong:
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks. - Vinicius Woloszyn, Guilherme Medeiros Machado, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
Modeling, comprehending and summarizing textual content by graphs. - Daniel Lehmann:
Local Equilibria. - Milan Broz
Practical Cryptographic Data Integrity Protection with Full Disk Encryption Extended Version. - Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. - Christoph Ertl, Ralf-Peter Mundani, Ernst Rank:
Ensuring domain consistency in an adaptive framework with distributed topology for fluid flow simulations. - Maryna Rassovytska, Andrii Striuk:
Mechanical Engineers Training in Using Cloud and Mobile Services in Professional Activity. - Andrii Striuk:
Using Elements Of Semantic Parsing In E-Learning Environments. - Georgios Amanatidis, George Christodoulou, John Fearnley, Evangelos Markakis, Christos-Alexandros Psomas, Eftychia Vakaliou:
An Improved Envy-Free Cake Cutting Protocol for Four Agents. - Mohammad Mahdi Tajiki, Mohammad Shojafar, Behzad Akbari, Stefano Salsano, Mauro Conti, Mukesh Singhal:
Joint Failure Recovery, Fault Prevention, and Energy-efficient Resource Management for Real-time SFC in Fog-supported SDN. - Dan Li, Deli Qiao, Lei Zhang, Geoffrey Ye Li:
Performance Analysis of Indoor THz Communications with One-Bit Precoding. - Michael Blondin, Javier Esparza, Antonín Kucera:
Automatic Analysis of Expected Termination Time for Population Protocols. - Xinhan Di, Pengqian Yu, Meng Tian:
Towards Adversarial Training with Moderate Performance Improvement for Neural Network Classification. - Amogh Agrawal, Akhilesh Jaiswal, Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Saad Kriouile, Maialen Larrañaga, Mohamad Assaad:
Asymptotically optimal delay-aware scheduling in wireless networks. - Wanran Xu, Suzhi Bi, Xiaohui Lin, Juan Wang:
Reusing Wireless Power Transfer for Backscatter-assisted Cooperation in WPCN. - Baoxiang Wang, Tongfang Sun, Xianjun Sam Zheng:
Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning. - Francesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi:
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters. - Dekel Tsur:
Representation of ordered trees with a given degree distribution. - Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Domain Adaptation. - Chaya Levinger, Amos Azaria, Noam Hazon:
Human Satisfaction as the Ultimate Goal in Ridesharing. - Fatemeh Riahi, Oliver Schulte:
Model-based Exception Mining for Object-Relational Data. - Tim Hegeman, Alexandru Iosup:
Survey of Graph Analysis Applications. - Ralf-Peter Mundani, Marko Ljucovic, Ernst Rank:
Framework for the hybrid parallelisation of simulation codes. - Konstantinos Zampogiannis, Cornelia Fermüller, Yiannis Aloimonos:
cilantro: a lean, versatile, and efficient library for point cloud data processing. - James Max Kanter, Benjamin Schreck, Kalyan Veeramachaneni:
Machine learning 2.0 : Engineering Data Driven AI Products. - Surya Bhupatiraju, Kumar Krishna Agrawal, Rishabh Singh:
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis. - David Koerner, Jamie Portsmouth, Wenzel Jakob:
PN-Method for Multiple Scattering in Participating Media. - Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah:
Learning to Drive in a Day. - Mark Harmon, Diego Klabjan:
Dynamic Prediction Length for Time Series with Sequence to Sequence Networks. - John R. Zech, Marcus A. Badgeley, Manway Liu, Anthony B. Costa, Joseph J. Titano, Eric K. Oermann:
Confounding variables can degrade generalization performance of radiological deep learning models. - Gaurav Choudhary, Vishal Sharma, Ilsun You, Kangbin Yim, Ing-Ray Chen, Jin-Hee Cho:
Intrusion Detection Systems for Networked Unmanned Aerial Vehicles: A Survey. - Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon:
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. - Anvar Bahrampour, Omid Mohamad Nezami:
Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO). - Aslam Abdullah:
Influence of the Forward Difference Scheme for the Time Derivative on the Stability of Wave Equation Numerical Solution. - Xiangxiang Chu:
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization. - Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan:
Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN. - Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design. - Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen:
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision. - Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
Evenly Cascaded Convolutional Networks. - Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, Ananthram Swami:
Adversarial Perturbations Against Real-Time Video Classification Systems. - Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov:
How To Backdoor Federated Learning. - Amanda Bower
Debiasing representations by removing unwanted variation due to protected attributes. - Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy:
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. - Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. - Sakshi Udeshi, Pryanshu Arora, Sudipta Chattopadhyay:
Automated Directed Fairness Testing. - Yuwei Xie, Hongwei Zhang, Pengfei Ren:
Unified Scheduling for Predictable Communication Reliability in Cellular Networks with D2D Links. - Masahiko Ueda, Toshiyuki Tanaka:
Zero-determinant strategies in repeated incomplete-information games: Consistency of payoff relations. - Yunhao Sun:
Information theoretic limits of state-dependent networks. - Shweta Shinde, Shengyi Wang, Pinghai Yuan, Aquinas Hobor, Abhik Roychoudhury, Prateek Saxena:
BesFS: Mechanized Proof of an Iago-Safe Filesystem for Enclaves. - Shaobin Cao, Zhijian Ji, Hai Lin, Haisheng Yu:
Perfectly Controllable Multi-Agent Networks. - Jeff Zhang, Siddharth Garg:
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design. - Toan Nguyen, Nasir D. Memon:
Tap-based User Authentication for Smartwatches. - Sunil Arya, Guilherme Dias da Fonseca, David M. Mount:
Approximate Convex Intersection Detection with Applications to Width and Minkowski Sums. - G. D. Illeperuma:
An initial study on estimating area of a leaf using image processing. - Zhu Kaili, Chuan Wang, Ruobing Li, Yang Liu, Tianlei Hu, Hui Lin:
A Simple but Effective Classification Model for Grammatical Error Correction. - Rémi Bonnefoi, Lilian Besson, Christophe Moy, Emilie Kaufmann, Jacques Palicot:
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings. - Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Active Testing: An Efficient and Robust Framework for Estimating Accuracy. - Javier Ribera, Fangning He, Yuhao Chen, Ayman F. Habib, Edward J. Delp:
Estimating Phenotypic Traits From UAV Based RGB Imagery. - Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis E. Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern H. Menze:
Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Terrance DeVries, Graham W. Taylor:
Leveraging Uncertainty Estimates for Predicting Segmentation Quality. - Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. - Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. - Michael Codish:
A SAT Encoding for the n-Fractions Problem. - Ilker Bozcan, Sinan Kalkan:
COSMO: Contextualized Scene Modeling with Boltzmann Machines. - Martin Monperrus:
Automatic Software Repair: a Bibliography. - Jindong Wang, Yiqiang Chen, Shuji Hao, Wenjie Feng
Balanced Distribution Adaptation for Transfer Learning. - Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach:
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract). - María Gómez, Bram Adams, Walid Maalej, Martin Monperrus, Romain Rouvoy:
App Store 2.0: From Crowd Information to Actionable Feedback in Mobile Ecosystems. - Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, Patrick Vinck, Yves-Alexandre de Montjoye, Xiaowen Dong, Özge Dagdelen:
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey. - Xing Fan, Wei Jiang, Hao Luo, Mengjuan Fei:
SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification. - Piotr Zelasko, Piotr Szymanski, Jan Mizgajski, Adrian Szymczak, Yishay Carmiel, Najim Dehak:
Punctuation Prediction Model for Conversational Speech. - Yunlong Wang, Björn Sommer, Falk Schreiber, Harald Reiterer:
Clustering with Temporal Constraints on Spatio-Temporal Data of Human Mobility. - Roel Dobbe, Sarah Dean, Thomas Krendl Gilbert, Nitin Kohli:
A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics. - Julia Lasserre, Katharina Rasch, Roland Vollgraf:
Studio2Shop: from studio photo shoots to fashion articles. - Jiajun Pan, Hoel Le Capitaine, Philippe Leray:
Relational Constraints for Metric Learning on Relational Data. - Sihao Xue, Zhenyi Ying, Fan Mo, Min Wang, Jue Sun:
Weight-importance sparse training in keyword spotting. - Manfred Jaeger, Oliver Schulte:
Inference, Learning, and Population Size: Projectivity for SRL Models. - Sergio Consoli, Jan H. M. Korst, Gijs Geleijnse, Steffen Pauws:
On the minimum quartet tree cost problem. - Atanas Atanasov, Hans-Joachim Bungartz, Jérôme Frisch, Miriam Mehl, Ralf-Peter Mundani, Ernst Rank, Christoph van Treeck:
Computational steering of complex flow simulations. - José Andrés Moreno-Pérez, Sergio Consoli:
Minimum Labelling bi-Connectivity. - José Camacho-Collados, Luis Espinosa Anke, Mohammad Taher Pilehvar:
The Interplay between Lexical Resources and Natural Language Processing. - Shiqi Shen, Soundarya Ramesh, Shweta Shinde, Abhik Roychoudhury, Prateek Saxena:
Neuro-Symbolic Execution: The Feasibility of an Inductive Approach to Symbolic Execution. - Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer:
Classifying neuromorphic data using a deep learning framework for image classification. - Ralf-Peter Mundani, Alexander Düster, Jovana Knezevic, Andreas Niggl, Ernst Rank:
Dynamic load balancing strategies for hierarchical p-FEM solvers. - Jasper Linmans, Jim Winkens, Bastiaan S. Veeling, Taco S. Cohen, Max Welling:
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks. - Vishal Sharma, Noman Ahmed Sheikh, Happy Mittal, Vibhav Gogate, Parag Singla:
Lifted Marginal MAP Inference. - Jacob Focke, Leslie Ann Goldberg, Stanislav Zivný:
The Complexity of Approximately Counting Retractions. - Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Neural Lattice Decoders. - Ashwin Srinivasan, Lovekesh Vig, Michael Bain:
Logical Explanations for Deep Relational Machines Using Relevance Information. - Junjie Zhang, Yong Xia, Yanning Zhang:
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency. - Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin:
Crowd Counting using Deep Recurrent Spatial-Aware Network. - Evgeniy Gryaznov:
Semantic Query Language for Temporal Genealogical Trees. - Martin Grohe, Peter Lindner:
Probabilistic Databases with an Infinite Open-World Assumption. - Mehmet Ali Arabaci, Fatih Özkan, Elif Sürer
Multi-modal Egocentric Activity Recognition using Audio-Visual Features. - Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt:
Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming. - Selwa Elfirdoussi:
Using mobile service for supply chain management : a survey and challenges. - Yaman Kumar
Speech Reconstitution using Multi-view Silent Videos. - Tobias Sommer Thune, Yevgeny Seldin:
Adaptation to Easy Data in Prediction with Limited Advice. - Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Mammography Dual View Mass Correspondence. - Ricardo Nobre
Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption. - Gagan Madan, Ankit Anand, Mausam, Parag Singla:
Block-Value Symmetries in Probabilistic Graphical Models. - Nicholas Coxon:
Fast Hermite interpolation and evaluation over finite fields of characteristic two. - Pietro Ferraro, Christopher K. King, Robert Shorten:
Distributed Ledger Technology, Cyber-Physical Systems, and Social Compliance. - Marta R. Costa-jussà, Marcos Zampieri, Santanu Pal:
A Neural Approach to Language Variety Translation. - Mingyang Jiang, Yiran Wu, Cewu Lu:
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation. - Richard Roberts, Stefan Marr, Michael Homer, James Noble:
Shallow Types for Insightful Programs: Grace is Optional, Performance is Not. - Pascal Caron, Edwin Hamel-De le Court, Jean-Gabriel Luque, Bruno Patrou:
New tools for state complexity. - Erik Lindén, Jonas Sjöstrand, Alexandre Proutière:
Appearance-Based 3D Gaze Estimation with Personal Calibration. - Yan Xiong, Cheng Su, Wenchao Huang:
Verifying Security Protocols using Dynamic Strategies. - Fabrice Zaoui:
A GPU-enabled finite volume solver for large shallow water simulations. - Tanja M. Kneiske, Martin Braun:
Flexibility potentials of a combined use of heat storages and batteries in PV-CHP hybrid systems. - Anis Kacem, Mohamed Daoudi, Boulbaba Ben Amor, Stefano Berretti, Juan Carlos Álvarez Paiva:
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding. - Haiqiang Wang, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
Analysis and prediction of JND-based video quality model. - Ting Yao, Xue Li:
YH Technologies at ActivityNet Challenge 2018. - Tom Kelly, Niloy J. Mitra:
Simplifying Urban Data Fusion with BigSUR. - Richard Diehl Martinez, Geoffrey Angus, Rooz Mahdavian:
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods. - Boris Galkin, Jacek Kibilda, Luiz A. DaSilva:
Impact of UAV Antenna Configuration on Wireless Connectivity in Urban Environments. - Kirill P. Kalinin, Natalia G. Berloff:
Global optimization of spin Hamiltonians with gain-dissipative systems. - Fábio Ferreira, Jonas Rothfuss, Eren Erdal Aksoy, You Zhou, Tamim Asfour:
Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets. - Mark-Christoph Müller, Michael Strube:
Transparent, Efficient, and Robust Word Embedding Access with WOMBAT. - Shihao Yan, Yirui Cong, Stephen V. Hanly, Xiangyun Zhou:
Gaussian Signalling for Covert Communications. - Alexia Jolicoeur-Martineau:
The relativistic discriminator: a key element missing from standard GAN. - Yang-Hui He, Vishnu Jejjala, Brent D. Nelson:
hep-th. - Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin:
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors. - Rui Zhao, Volker Tresp:
Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. - Mudasar Bacha, Marco Di Renzo, Bruno Clerckx:
Treating Interference as Noise in Cellular Networks: A Stochastic Geometry Approach. - Tanya Braun, Ralf Möller:
Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm. - Marcel Gehrke, Tanya Braun, Ralf Möller:
Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm. - Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. - Stefan Schibisch, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink:
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes. - Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu:
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. - André Mateus, Omar Tahri, Pedro Miraldo:
Active Structure-from-Motion for 3D Straight Lines. - Gellért Weisz, András György, Csaba Szepesvári:
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration. - Bernd Finkbeiner, Christopher Hahn, Marvin Stenger, Leander Tentrup:
Monitoring Hyperproperties. - Jovana Knezevic, Ralf-Peter Mundani, Ernst Rank:
A high-performance interactive computing framework for engineering applications. - Anton Andreychuk, Konstantin S. Yakovlev:
Path Finding for the Coalition of Co-operative Agents Acting in the Environment with Destructible Obstacles. - Sven Buechel, Udo Hahn:
Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons. - Xinhan Di, Pengqian Yu, Meng Tian:
Ambient Hidden Space of Generative Adversarial Networks. - Nicolas Behr, Pawel Sobocinski:
Rule Algebras for Adhesive Categories. - Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar:
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices. - Peter M. C. Harrison, Marcus T. Pearce:
An energy-based generative sequence model for testing sensory theories of Western harmony. - Aliaksei Vertsel, Mikhail Rumiantsau:
Pragmatic approach to structured data querying via natural language interface. - Forrest Laine, Claire J. Tomlin:
Efficient Computation of Feedback Control for Constrained Systems. - Oksana M. Markova, Serhiy Semerikov, Maiia Popel:
CoCalc as a Learning Tool for Neural Network Simulation in the Special Course "Foundations of Mathematic Informatics". - Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Deepcode: Feedback Codes via Deep Learning. - Yevhenii O. Modlo, Serhiy O. Semerikov:
Modernization of Professional Training of Electromechanics Bachelors: ICT-based Competence Approach. - Vladimir S. Morkun, Serhiy O. Semerikov, Nataliya V. Morkun, Svitlana M. Hryshchenko:
Defining the Structure of Environmental Competence of Future Mining Engineers: ICT Approach. - Daniil Anastasyev, Ilya Gusev
Improving part-of-speech tagging via multi-task learning and character-level word representations. - Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor:
Mining Bad Credit Card Accounts from OLAP and OLTP. - Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling. - Shervin Rahimzadeh Arashloo, Josef Kittler:
Client-Specific Anomaly Detection for Face Presentation Attack Detection. - Konstantinos Psychas
On Non-Preemptive VM Scheduling in the Cloud. - Yongqiang Huang, Yu Sun:
A Dataset of Daily Interactive Manipulation. - Athma Narayanan, Yi-Ting Chen, Srikanth Malla:
Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection. - Silvia Sellán, Herng Yi Cheng, Yuming Ma, Mitchell Dembowski, Alec Jacobson:
Solid Geometry Processing on Deconstructed Domains. - Meghana Bande, Venugopal V. Veeravalli:
Multi-User Multi-Armed Bandits for Uncoordinated Spectrum Access. - Vladimir Bataev, Maxim Korenevsky, Ivan Medennikov, Alexander Zatvornitskiy:
Exploring End-to-End Techniques for Low-Resource Speech Recognition. - David P. Woodruff, Qin Zhang:
Distributed Statistical Estimation of Matrix Products with Applications. - Aarthy Shivram Arun, Sai Vikneshwar Mani Jayaraman, Christopher Ré, Atri Rudra:
Hypertree Decompositions Revisited for PGMs. - Nathalie Bertrand, Miheer Dewaskar, Blaise Genest, Hugo Gimbert, Adwait Amit Godbole:
Controlling a population. - Jan Wöhlke, Shile Li, Dongheui Lee:
Model-based Hand Pose Estimation for Generalized Hand Shape with Appearance Normalization. - Eneldo Loza Mencía, Patryk Hopner:
Analysis and Optimization of Deep CounterfactualValue Networks. - Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova:
Learning under selective labels in the presence of expert consistency. - Alexander A. Alemi, Ian Fischer, Joshua V. Dillon:
Uncertainty in the Variational Information Bottleneck. - Isay Katsman, Rohun Tripathi, Andreas Veit, Serge J. Belongie:
Semantic Segmentation with Scarce Data. - Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, Anna Korhonen:
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. - Haiqiang Wang, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
A JND-based Video Quality Assessment Model and Its Application. - Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett:
Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data. - Nima Anari, Shayan Oveis Gharan, Cynthia Vinzant:
Log-concave polynomials, entropy, and a deterministic approximation algorithm for counting bases of matroids. - Davide Nunes
Neural Random Projections for Language Modelling. - Youhong Feng, Shihao Yan, Zhen Yang:
Secure Transmission to the Strong User with Optimal Power Allocation in NOMA. - Pasin Manurangsi:
A Note on Degree vs Gap of Min-Rep Label Cover and Improved Inapproximability for Connectivity Problems. - Gibran Fuentes Pineda, Iván Vladimir Meza Ruíz:
Topic Discovery in Massive Text Corpora Based on Min-Hashing. - Takahito Aoto, Yoshihito Toyama:
Automated Proofs of Unique Normal Forms w.r.t. Conversion for Term Rewriting Systems. - Griffin Lacey, Graham W. Taylor, Shawki Areibi:
Stochastic Layer-Wise Precision in Deep Neural Networks. - Duhyeon Bang, Hyunjung Shim:
Resembled Generative Adversarial Networks: Two Domains with Similar Attributes. - Tobi Ogunyale, De'Aira G. Bryant, Ayanna M. Howard:
Does Removing Stereotype Priming Remove Bias? A Pilot Human-Robot Interaction Study. - Michael Zargham, Zixuan Zhang, Victor M. Preciado:
A State-Space Modeling Framework for Engineering Blockchain-Enabled Economic Systems. - Di Feng:
Leveraging Robotic Prior Tactile Exploratory Action Experiences For Learning New Objects's Physical Properties. - Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang:
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. - Ang Li, Zejian Yuan:
SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detection. - Olga Krestinskaya, Alex Pappachen James, Leon O. Chua:
Neuro-memristive Circuits for Edge Computing: A review. - Xuanyi Dong, Shoou-I Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, Yaser Sheikh:
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors. - Zhongshu Gu, Heqing Huang, Jialong Zhang, Dong Su, Ankita Lamba, Dimitrios Pendarakis, Ian M. Molloy:
Securing Input Data of Deep Learning Inference Systems via Partitioned Enclave Execution. - Eugene Siow, Thanassis Tiropanis, Wendy Hall:
Analytics for the Internet of Things: A Survey. - Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor:
Scalable Structure Learning for Probabilistic Soft Logic. - Jie Liu, Cheng Sun, Xiang Xu, Baomin Xu, Shuangyuan Yu:
A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification. - Ranesh Kumar Naha, Saurabh Kumar Garg, Dimitrios Georgakopoulos, Prem Prakash Jayaraman, Longxiang Gao, Yong Xiang, Rajiv Ranjan:
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions. - Tong Yang, Xiangyu Zhang, Wenqiang Zhang, Jian Sun:
MetaAnchor: Learning to Detect Objects with Customized Anchors. - William G. La Cava, Tilak Raj Singh, James Taggart, Srinivas Suri, Jason H. Moore:
Stochastic optimization approaches to learning concise representations. - Ahmad Babaeian Jelodar, David Paulius, Yu Sun:
Long Activity Video Understanding using Functional Object-Oriented Network. - Manuel Bodirsky, Barnaby Martin, Marcello Mamino, Antoine Mottet:
The complexity of disjunctive linear Diophantine constraints. - Bin Wang, Zhijian Ou:
Improved training of neural trans-dimensional random field language models with dynamic noise-contrastive estimation. - Boris Galkin, Luiz A. DaSilva:
UAVs as Mobile Infrastructure: Addressing Battery Lifetime. - Meng Wu
Building a Controlled Vocabulary for Standardizing Precision Medicine Terms. - Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé:
Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs. - Luca Aceto, Ian Cassar, Adrian Francalanza, Anna Ingólfsdóttir:
On Runtime Enforcement via Suppressions. - Martin Zaefferer, Daniel Horn:
A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces. - Weinan Chen, Lei Zhu, Yisheng Guan, C. Ronald Kube, Hong Zhang:
Submap-based Pose-graph Visual SLAM: A Robust Visual Exploration and Localization System. - Laxmi R. Iyer, Yansong Chua, Haizhou Li:
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain. - Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, Alois C. Knoll:
A Survey on Agent-based Simulation using Hardware Accelerators. - Junping Wang, Wensheng Zhang, Youkang Shi, Shihui Duan, Jin Liu:
Industrial Big Data Analytics: Challenges, Methodologies, and Applications. - Martin Zaefferer, Jörg Stork, Oliver Flasch, Thomas Bartz-Beielstein
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming. - Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick:
Coopetitive Soft Gating Ensemble. - DaeHee Jang, Jongwhan Kim, Minjoon Park, Yunjong Jung, Minsu Kim, Hojoon Lee, Brent ByungHoon Kang:
RUMA: On the Analysis of Defenses based on Misaligned Accesses. - Eng-Jon Ong, Sameed Husain, Mikel Bober-Irizar, Miroslaw Bober:
Deep Architectures and Ensembles for Semantic Video Classification. - Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci, Patric Jensfelt, Barbara Caputo:
Kitting in the Wild through Online Domain Adaptation. - Manfred Eppe, Matthias Kerzel, Erik Strahl, Stefan Wermter:
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot. - Benjamin Sliwa, Johannes Pillmann, Maximilian Klaß, Christian Wietfeld:
Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication. - Domingo Docampo, Jean-Jacques Bessoule:
An approach based on the geometric mean of basic quantitative and qualitative bibliometric indicators to evaluate and analyse the research performance of countries and institutions. - Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Mats Sjöberg, Bogdan Ionescu, Thanh-Toan Do, France Rennes:
MediaEval 2018: Predicting Media Memorability Task. - Sergey Goncharov, Julian Jakob, Renato Neves:
A Semantics for Hybrid Iteration. - Venkatesan Guruswami, Chaoping Xing, Chen Yuan:
How long can optimal locally repairable codes be? - Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill:
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. - Marco Reisert, Volker A. Coenen, Christoph P. Kaller, Karl Egger, Henrik Skibbe:
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI. - Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards:
Adversarial Robustness Toolbox v0.2.2. - Artur Czumaj, Christian Konrad:
Detecting cliques in CONGEST networks. - Anna L. D. Latour, Behrouz Babaki, Siegfried Nijssen:
Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams. - Carlos Cancino Chacón, Maarten Grachten:
A Computational Study of the Role of Tonal Tension in Expressive Piano Performance. - Sergio Hernandez Cerezo
Solving Atari Games Using Fractals And Entropy. - Happy Mittal, Ayush Bhardwaj, Vibhav Gogate, Parag Singla:
Domain Aware Markov Logic Networks. - Shervin Rahimzadeh Arashloo, Josef Kittler:
One-Class Kernel Spectral Regression for Outlier Detection. - Abbas Kiani, Nirwan Ansari, Abdallah Khreishah:
Hierarchical Capacity Provisioning for Fog Computing. - Kai Mindermann, Stefan Wagner:
Usability and Security Effects of Code Examples on Crypto APIs - CryptoExamples: A platform for free, minimal, complete and secure crypto examples. - Leon Sering, Martin Skutella:
Multi-Source Multi-Sink Nash Flows Over Time. - Mariya Shyshkina, Ulyana Kohut, Maiia Popel:
The Design and Evaluation of the Cloud-based Learning Components with the Use of the Systems of Computer Mathematics. - Jie Guo, Tingfa Xu, Shenwang Jiang, Ziyi Shen:
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking. - Rodrigo Martín, Michael Weinmann
Evaluating the Effects of Material Sonification in Tactile Devices. - Ágnes Cseh, Telikepalli Kavitha:
Popular Matchings in Complete Graphs. - Mohammadreza Ashouri:
Design of a New Stream Cipher: PARS. - Maiia Popel, Svitlana V. Shokalyuk, Mariya Shyshkina:
The Learning Technique of the SageMathCloud Use for Students Collaboration Support. - Nathaniel Blanchard, Daniel Moreira, Aparna Bharati
Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities. - Peter Beelen:
A note on the generalized Hamming weights of Reed-Muller codes. - Nelson Yalta, Shinji Watanabe, Kazuhiro Nakadai, Tetsuya Ogata:
Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation. - Maiia Popel:
The Methodical Aspects of the Algebra and the Mathematical Analysis Study Using the Sagemath Cloud. - Xin Liu, Hui-Min Cheng, Zhongyuan Zhang:
Evaluation of Community Structures using Kappa Index and F-Score instead of Normalized Mutual Information. - Lily Hu, Yiling Chen:
Welfare and Distributional Impacts of Fair Classification. - Masanari Kimura, Takashi Yanagihara:
Semi-supervised Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data. - Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Robin Chen:
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems. - Paul Waddell, Ignacio Garcia-Dorado, Samuel M. Maurer, Geoff Boeing, Max Gardner, Emily Porter, Daniel G. Aliaga:
Architecture for Modular Microsimulation of Real Estate Markets and Transportation. - Milana Grbic, Aleksandar Kartelj, Savka Jankovic, Dragan Matic, Vladimir Filipovic:
Variable neighborhood search for partitioning sparse biological networks into the maximum edge-weighted k-plexes. - Michael Simpson, Venkatesh Srinivasan, Alex Thomo:
Scalable Misinformation Prevention in Social Networks. - Ramy Amer, M. Majid Butt, Mehdi Bennis, Nicola Marchetti:
Inter-cluster Cooperation for Wireless D2D Caching Networks. - Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty:
A Decoupled Data Based Approach to Stochastic Optimal Control Problems. - Venkatesan Guruswami, Satyanarayana V. Lokam, Sai Vikneshwar Mani Jayaraman:
ε-MSR Codes: Contacting Fewer Code Blocks for Exact Repair. - Minchul Kim, Heecheol Yang, Jungwoo Lee:
Private Information Retrieval in Asynchronous Coded Computation. - Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. - Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor:
Credit Default Mining Using Combined Machine Learning and Heuristic Approach. - Ayushi Dalmia, Sachindra Joshi, Raghavendra Singh, Vikas Raykar:
Styling with Attention to Details. - Víctor Gutiérrez-Basulto, Jean Christoph Jung, Ondrej Kuzelka:
Markov Logic Networks with Statistical Quantifiers. - Iman Valiulahi, Farzan Haddadi, Arash Amini:
Robustness of Two-Dimensional Line Spectral Estimation Against Spiky Noise. - Fragkiskos Papadopoulos, Kaj-Kolja Kleineberg:
Link persistence and conditional distances in multiplex networks. - Kai Han:
Approximation Algorithms for Probabilistic Graphs. - Hans-Peter Beise, Steve Dias Da Cruz
On decision regions of narrow deep neural networks. - Chang Gao, Derun Gu, Fangjun Zhang, Yizhou Yu:
ReCoNet: Real-time Coherent Video Style Transfer Network. - Muzammal Naseer, Salman H. Khan, Fatih Porikli:
Local Gradients Smoothing: Defense against localized adversarial attacks. - Henri Riihimäki, Wojciech Chachólski:
Generalized persistence analysis based on stable rank invariant. - Donghyun Kim, Jaemin Lee, Orion Campbell, Hochul Hwang, Luis Sentis:
Computationally-Robust and Efficient Prioritized Whole-Body Controller with Contact Constraints. - Ricardo Brito, Alonso Rodríguez-Navarro:
The USA is an indisputable world leader in medical and biotechnological research. - David Kozhaya, Jérémie Decouchant, Paulo Jorge Esteves Veríssimo:
RT-ByzCast: Byzantine-Resilient Real-Time Reliable Broadcast. - Akiva Kleinerman, Ariel Rosenfeld, Sarit Kraus:
Providing Explanations for Recommendations in Reciprocal Environments. - Adam Van Etten, Dave Lindenbaum, Todd M. Bacastow:
SpaceNet: A Remote Sensing Dataset and Challenge Series. - Pablo Cañones, Boris Köpf, Jan Reineke:
On the Incomparability of Cache Algorithms in Terms of Timing Leakage. - Martino Borello, Cem Güneri, Elif Saçikara, Patrick Solé:
The Concatenated Structure of Quasi-Abelian Codes. - Giuseppe Liotta, Fabrizio Montecchiani, Alessandra Tappini:
Ortho-polygon Visibility Representations of 3-connected 1-plane Graphs. - Zhi-Qin John Xu
Training behavior of deep neural network in frequency domain. - Wenbo Li, Ming-Ching Chang, Siwei Lyu:
Who did What at Where and When: Simultaneous Multi-Person Tracking and Activity Recognition. - Samer El Zant, Katia Jaffrès-Runser, Klaus M. Frahm, Dima Shepelyansky:
Interactions and influence of world painters from the reduced Google matrix of Wikipedia networks. - Bo Zhou, Yuemeng Li, Jiangcong Wang:
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities. - Davide Bilò, Kleitos Papadopoulos
A Novel Algorithm for the All-Best-Swap-Edge Problem on Tree Spanners. - Piotr Franciszek Orzechowski, Annika Meyer, Martin Lauer:
Tackling Occlusions & Limited Sensor Range with Set-based Safety Verification. - Mauricio Gonzalez-Soto
Playing against Nature: causal discovery for decision making under uncertainty. - Tao Ge, Furu Wei, Ming Zhou:
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study. - David Lucas, Vincent Neiger, Clément Pernet, Daniel S. Roche, Johan Rosenkilde:
Interactive Certificates for Polynomial Matrices with Sub-Linear Communication. - Vaggos Chatziafratis, Tim Roughgarden, Joshua R. Wang:
On the Computational Power of Online Gradient Descent. - Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel:
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. - Umutcan Simsek, Dieter Fensel:
Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations. - John N. Jomo, Nils Zander, Mohamed Elhaddad, Ali Özcan, Stefan Kollmannsberger, Ralf-Peter Mundani, Ernst Rank:
Parallelization of the multi-level hp-adaptive finite cell method. - Sobhan Soleymani, Amirsina Torfi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification. - Gilad Divon, Ayellet Tal:
Viewpoint Estimation-Insights & Model. - Sobhan Soleymani, Ali Dabouei, Hadi Kazemi, Jeremy M. Dawson, Nasser M. Nasrabadi:
Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification. - Dario Paccagnan, Rahul Chandan, Jason R. Marden:
Distributed resource allocation through utility design - Part I: optimizing the performance certificates via the price of anarchy. - Piero Molino, Huaixiu Zheng, Yi-Chia Wang:
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. - Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. - Josh Borrow, Richard G. Bower, Peter W. Draper, Pedro Gonnet, Matthieu Schaller
SWIFT: Maintaining weak-scalability with a dynamic range of 104 in time-step size to harness extreme adaptivity. - Dario Paccagnan, Jason R. Marden:
Distributed resource allocation through utility design - Part II: applications to submodular, supermodular and set covering problems. - Brook Roberts, Sebastian Kaltwang, Sina Samangooei, Mark Pender-Bare, Konstantinos Tertikas, John Redford:
A Dataset for Lane Instance Segmentation in Urban Environments. - Yuchen Lu, Peng Xu:
Anomaly Detection for Skin Disease Images Using Variational Autoencoder. - Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang, Evangelos E. Papalexakis:
OCTen: Online Compression-based Tensor Decomposition. - Frédéric Blanqui, Giselle Reis:
Proceedings of the 13th International Workshop on Logical Frameworks and Meta-Languages: Theory and Practice, LFMTP@FSCD 2018, Oxford, UK, 7th July 2018. EPTCS 274, 2018 [contents] - Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch:
Efficient ConvNets for Analog Arrays. - Michael Behrisch, Robert Krüger, Fritz Lekschas, Tobias Schreck, Nils Gehlenborg, Hanspeter Pfister:
Visual Pattern-Driven Exploration of Big Data. - Phuc Nguyen, Khai Nguyen, Ryutaro Ichise, Hideaki Takeda:
EmbNum: Semantic labeling for numerical values with deep metric learning. - Michael Stephen Fiske:
Quantum Random Self-Modifiable Computation. - Rusheng Zhang, Bo Yu, Hariharan Krishnan:
Simulation Study on Collaborative Content Distribution in Delay Tolerant Vehicular Networks. - Rusheng Zhang, Frank Schmutz, Kyle Gerard, Aurélien Pomini, Louis Basseto, Sami Ben Hassen, Adhishree Jaiprakash, Inci Ozgunes, Abdulrahman Alarifi, Hussam Aldossary, Issa Alkurtass, Omar Talabay, Areej Almohanna, Shaha Alotaibi, Mansour Alsaleh, A. Ahmed Biyabani, Khaled Almohanna, Ozan K. Tonguz:
Increasing Traffic Flows with DSRC Technology: Field Trials and Performance Evaluation. - Jing Chen, Samuel McCauley, Shikha Singh:
Efficient Rational Proofs with Strong Utility-Gap Guarantees. - Christian Schulz:
Visualizing spreading phenomena on complex networks. - Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu:
ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations. - Madhumita Sushil, Simon Suster, Kim Luyckx, Walter Daelemans:
Patient representation learning and interpretable evaluation using clinical notes. - Timothy Dozat, Christopher D. Manning:
Simpler but More Accurate Semantic Dependency Parsing. - Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson:
Endmember Extraction on the Grassmannian. - Mohammadhafez Bazrafshan, Nikolaos Gatsis, Marcio Giacomoni, Ahmad F. Taha:
A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks. - Guillaume Rabusseau, Tianyu Li, Doina Precup:
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning. - Lucie Tvrznikova
Case for the double-blind peer review. - Chantana Chantrapornchai, Chidchanok Choksuchat:
TripleID-Q: RDF Query Processing Framework using GPU. - Tomás Feder, Pavol Hell, Carlos S. Subi:
Distance-Two Colorings of Barnette Graphs. - Christopher T. Lee, John B. Moody, Rommie E. Amaro, James Andrew McCammon, Michael J. Holst:
The Implementation of the Colored Abstract Simplicial Complex and its Application to Mesh Generation. - (Withdrawn) Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification.
- Hyun-Chul Choi, Minseong Kim:
Unbiased Image Style Transfer. - Artem Molchanov, Karol Hausman, Stan Birchfield, Gaurav S. Sukhatme:
Region Growing Curriculum Generation for Reinforcement Learning. - Zhisheng Wang, Fangxuan Sun, Jun Lin, Zhongfeng Wang, Bo Yuan:
SGAD: Soft-Guided Adaptively-Dropped Neural Network. - Naveen Kumar Macha, Sandeep Geedipally, Bhavana Tejaswini Repalle, Md Arif Iqbal, Wafi Danesh, Mostafizur Rahman:
Crosstalk based Fine-Grained Reconfiguration Techniques for Polymorphic Circuits. - Youlong Cao, Meixia Tao:
Treating Content Delivery in Multi-Antenna Coded Caching as General Message Sets Transmission: A DoF Region Perspective. - Naveen Kumar Macha, Bhavana Tejaswini Repalle, Sandeep Geedipally, Rafael Rios, Mostafizur Rahman:
A New Paradigm for Fault-Tolerant Computing with Interconnect Crosstalks. - Tao Song, Leiyu Sun, Di Xie, Haiming Sun, Shiliang Pu:
Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation. - Sarathkumar Rangarajan:
Qos-Based Web Service Discovery And Selection Using Machine Learning. - Shan Lin
Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification. - Karuna Ahuja, Karan Sikka, Anirban Roy, Ajay Divakaran:
Understanding Visual Ads by Aligning Symbols and Objects using Co-Attention. - Xiaocheng Liu, Qifan Zhang, Pengcheng Qiu, Jiajie Tong, Huazi Zhang, Changyong Zhao, Jun Wang:
A 5.16Gbps decoder ASIC for Polar Code in 16nm FinFET. - Trung-Nghia Le, Akihiro Sugimoto:
Video Semantic Salient Instance Segmentation: Benchmark Dataset and Baseline. - Sanping Zhou, Jinjun Wang, Deyu Meng, Yudong Liang, Yihong Gong, Nanning Zheng:
Discriminative Feature Learning with Foreground Attention for Person Re-Identification. - Hiromi Ishii:
A Purely Functional Computer Algebra System Embedded in Haskell. - Sheng Jin:
Deep Saliency Hashing. - Anh-Duc Nguyen, Woojae Kim, Jongyoo Kim, Sanghoon Lee:
Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding. - Marco Giordani, Andrea Zanella, Takamasa Higuchi, Onur Altintas, Michele Zorzi:
On the Feasibility of Integrating mmWave and IEEE 802.11p for V2V Communications. - Leimin Tian, Catherine Lai, Johanna D. Moore:
Polarity and Intensity: the Two Aspects of Sentiment Analysis. - Yu Huang, Miaowen Wen, Lie-Liang Yang, Chan-Byoung Chae, Fei Ji:
Spatial Modulation for Molecular Communication. - Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. - Zhiqiang Gong, Ping Zhong, Weidong Hu:
Diversity in Machine Learning. - Hsien-Chih Chang, Pawel Gawrychowski, Shay Mozes, Oren Weimann:
Near-Optimal Distance Emulator for Planar Graphs. - Julian Zimmert, Yevgeny Seldin:
Factored Bandits. - Minseong Kim, Jongju Shin, Myung-Cheol Roh, Hyun-Chul Choi:
Uncorrelated Feature Encoding for Faster Image Style Transfer. - Desmond J. Higham:
Centrality-Friendship Paradoxes: When Our Friends Are More Important Than Us. - Matthew Trumble, Andrew Gilbert, Adrian Hilton, John P. Collomosse:
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling. - Felix Beierle, Vinh Thuy Tran, Mathias Allemand, Patrick Neff, Winfried Schlee, Thomas Probst, Rüdiger Pryss, Johannes Zimmermann:
Context Data Categories and Privacy Model for Mobile Data Collection Apps. - Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, Leonidas J. Guibas:
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces. - Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer:
Curiosity Driven Exploration of Learned Disentangled Goal Spaces. - Jie Xu:
Distributed super point cardinality estimation under sliding time window for high speed network. - Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida:
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness. - Lucas Balthazar, João Xavier, Bruno Sinopoli:
Distributed Estimation Via a Roaming Token. - Shangbang Long, Jiaqiang Ruan, Wenjie Zhang, Xin He, Wenhao Wu, Cong Yao:
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes. - Christian Häger, Henry D. Pfister:
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. - Yutai Hou, Yijia Liu, Wanxiang Che, Ting Liu:
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding. - Waqas Aman
Secure Routing in OFDM based Multi-Hop Underwater Acoustic Sensor Networks. - Umberto Ferraro Petrillo, Mara Sorella, Giuseppe Cattaneo, Raffaele Giancarlo, Simona E. Rombo:
Analyzing Big Datasets of Genomic Sequences: Fast and Scalable Collection of k-mer Statistics. - Michael Schmitt, Lloyd Haydn Hughes, Xiao Xiang Zhu:
The SEN1-2 Dataset for Deep Learning in SAR-Optical Data Fusion. - Mario Corsolini, Andrea Carta:
VideoKifu, or the automatic transcription of a Go game. - Arne Schmidt, Sheryl Manzoor, Li Huang, Aaron T. Becker, Sándor P. Fekete:
Efficient Parallel Self-Assembly Under Uniform Control Inputs. - Marcel Gehrke, Tanya Braun, Ralf Möller:
Answering Hindsight Queries with Lifted Dynamic Junction Trees. - Longhao Yuan, Jianting Cao, Qiang Wu, Qibin Zhao:
Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition. - Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The role of robot design in decoding error-related information from EEG signals of a human observer. - Satoshi Takabe, Tadashi Wadayama, Masahito Hayashi:
Asymptotic Analysis of Spatial Coupling Coding for Compute-and-Forward Relaying. - Javier Ferrer, Enrique Alba:
BIN-CT: Urban Waste Collection based in Predicting the Container Fill Level. - Mubariz Zaffar, Shoaib Ehsan, Rustam Stolkin, Klaus D. McDonald-Maier:
Sensors, SLAM and Long-term Autonomy: A Review. - Anthony Savidis, Yannis Apostolidis, Yannis Lilis:
Multi-Stage JavaScript. - Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami:
Conditional Neural Processes. - Telma Pereira, Sandra Cardoso, Dina Silva, Manuela Guerreiro, Alexandre de Mendonça, Sara C. Madeira:
Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease. - Dominique Duval:
Logical rules as fractions and logics as sketches. - Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh:
Neural Processes. - Vladimir Kiriansky, Haoran Xu, Martin C. Rinard, Saman P. Amarasinghe:
Cimple: Instruction and Memory Level Parallelism. - Rusheng Zhang, Akihiro Ishikawa, Wenli Wang, Benjamin Striner, Ozan K. Tonguz:
Partially Observable Reinforcement Learning for Intelligent Transportation Systems. - Ghada Zamzmi, Dmitry B. Goldgof, Rangachar Kasturi, Yu Sun:
Neonatal Pain Expression Recognition Using Transfer Learning. - Manuel Mazzara, Alexandr Naumchev, Larisa Safina, Alberto Sillitti, Konstantin Urysov:
Teaching DevOps in Corporate Environments: An experience report. - Rusheng Zhang, Frank Schmutz, Kyle Gerard, Aurélien Pomini, Louis Basseto, Sami Ben Hassen, Akihiro Ishikawa, Inci Ozgunes, Ozan K. Tonguz:
Virtual Traffic Lights: System Design and Implementation. - Philipp H. Kindt, Sangyoung Park, Samarjit Chakraborty:
Fast Collision Simulation for Cyclic Wireless Protocols. - Borja Balle, Gilles Barthe, Marco Gaboardi:
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. - Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
AND: Autoregressive Novelty Detectors. - Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng:
MIXGAN: Learning Concepts from Different Domains for Mixture Generation. - Diego Armando Díaz Vargas, Rui Xue, Claude Baron
Implementing SCRUM to develop a connected robot. - Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann:
Encoding Spatial Relations from Natural Language. - Alexandre Laterre, Yunguan Fu
Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization. - Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee:
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. - Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi:
Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu). - Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi:
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations. - Heng Guo, Kun He:
Tight bounds for popping algorithms. - Weidong Yuan, Alan W. Black:
Generating Mandarin and Cantonese F0 Contours with Decision Trees and BLSTMs. - Quoc Dung Cao, Youngjun Choe:
Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery. - Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan:
Localization Recall Precision (LRP): A New Performance Metric for Object Detection. - Dan Hendrycks, Thomas G. Dietterich:
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations. - Daejin Jung, Wonkyung Jung, Byeongho Kim, Sunjung Lee, Wonjong Rhee, Jung Ho Ahn:
Restructuring Batch Normalization to Accelerate CNN Training. - Xin Zhang, Hong Xiang, Tao Xiang, Li Fu, Jun Sang:
An efficient quantum circuits optimizing scheme compared with QISKit. - Yongping Xing, Chuangbai Xiao, Yifei Wu, Ziming Ding:
A Convolutional Neural Network for Aspect Sentiment Classification. - Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks. - Esther Galbrun, Peggy Cellier, Nikolaj Tatti, Alexandre Termier, Bruno Crémilleux:
Mining Periodic Patterns with a MDL Criterion. - Ze Wang, Weiqiang Ren, Qiang Qiu:
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. - Gal Bahar, Rann Smorodinsky, Moshe Tennenholtz:
Recommendation Systems and Self Motivated Users. - Lucas Lehnert, Michael L. Littman:
Transfer with Model Features in Reinforcement Learning. - Carlos Gómez-Rodríguez, Tianze Shi, Lillian Lee:
Global Transition-based Non-projective Dependency Parsing. - Vasile Patrascu:
Shannon entropy for intuitionistic fuzzy information. - Pablo Fernandez Carmona, Michael Eichin, Alexandre Mayor, Harald Regele, Martin Grossmann, Damien Charles Weber:
Significant acceleration of development by automating quality assurance of a medical particle accelerator safety system using a formal language driven test stand. - Malte von Mehren, Fabian Gieseke, Jan Verbesselt, Sabina Rosca, Stéphanie Horion, Achim Zeileis:
Massively-Parallel Break Detection for Satellite Data. - Kuang Gong, Kyung Sang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network. - Yue Liu, Tongtao Zhang, Zhicheng Liang, Heng Ji, Deborah L. McGuinness:
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text. - Ashwin Vishnu Mohanan, Cyrille Bonamy, Miguel Calpe Linares, Pierre Augier:
FluidSim: modular, object-oriented Python package for high-performance CFD simulations. - Mariya Shyshkina, Uliana Kohut, Maiia Popel:
The Systems of Computer Mathematics in the Cloud-Based Learning Environment of Educational Institutions. - Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg:
Direct Uncertainty Prediction with Applications to Healthcare. - Stephan Druskat, Daniel S. Katz:
Mapping the research software sustainability space. - Stefan Falkner, Aaron Klein, Frank Hutter:
BOHB: Robust and Efficient Hyperparameter Optimization at Scale. - Ashwin Vishnu Mohanan, Cyrille Bonamy, Pierre Augier:
FluidFFT: common API (C++ and Python) for Fast Fourier Transform HPC libraries. - Chunfeng Cui, Zheng Zhang:
Uncertainty Quantification of Electronic and Photonic ICs with Non-Gaussian Correlated Process Variations. - Gianmarco Santini, Lorena M. Zumbo, Nicola Martini
Synthetic contrast enhancement in cardiac CT with Deep Learning. - Mehdi Drissi, Olivia Watkins, Aditya Khant
Program Language Translation Using a Grammar-Driven Tree-to-Tree Model. - Siddhant Rao:
MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks. - Sepideh Avizheh, Reihaneh Safavi-Naini, Siamak F. Shahandashti:
A New Look at the Refund Mechanism in the Bitcoin Payment Protocol. - Giovanni Colavizza:
A diachronic study of historiography. - Duc Minh Nguyen, Evaggelia Tsiligianni, A. Robert Calderbank, Nikos Deligiannis:
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning. - Amar Viswanathan, Geeth de Mel, James A. Hendler:
Feature-based reformulation of entities in triple pattern queries. - Michael A. Bender, Jake Christensen, Alexander Conway, Martin Farach-Colton, Rob Johnson, Meng-Tsung Tsai:
Optimal Ball Recycling. - Jiaxin Chen, Yi Fang:
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval. - Alkis Gotovos, S. Hamed Hassani, Andreas Krause, Stefanie Jegelka:
Discrete Sampling using Semigradient-based Product Mixtures. - Jiali Duan, Xiaoyuan Guo, Yuhang Song, Chao Yang, C.-C. Jay Kuo:
PortraitGAN for Flexible Portrait Manipulation. - Yin Yang:
LinBFT: Linear-Communication Byzantine Fault Tolerance for Public Blockchains. - Kristopher De Asis, Richard S. Sutton:
Per-decision Multi-step Temporal Difference Learning with Control Variates. - Vikas Yadav, Rebecca Sharp, Mihai Surdeanu:
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering. - Maksim O. Shudrak, Vyacheslav Zolotarev:
Improving Fuzzing Using Software Complexity Metrics. - Qi Zhang, Ling Liu, Calton Pu, Qiwei Dou, Liren Wu, Wei Zhou:
A Comparative Study of Containers and Virtual Machines in Big Data Environment. - Benyamin Ghojogh, Saeed Sharifian:
Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm. - He Kong, Salah Sukkarieh:
Metamorphic Moving Horizon Estimation. - Thierry Denoeux:
Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective. - Mohammad Masudur Rahman, Chanchal K. Roy:
An Insight into the Unresolved Questions at Stack Overflow. - Mohammad Masudur Rahman, Chanchal K. Roy:
Impact of Continuous Integration on Code Reviews. - Mohammad Masudur Rahman, Chanchal K. Roy:
An Insight into the Pull Requests of GitHub. - Jakub Szefer
Practical and Scalable Security Verification of Secure Architectures. - Shuiyuan Yu, Chunshan Xu, Haitao Liu:
Zipf's law in 50 languages: its structural pattern, linguistic interpretation, and cognitive motivation. - Mohammad Masudur Rahman, Shamima Yeasmin, Chanchal K. Roy:
An IDE-Based Context-Aware Meta Search Engine. - Sihem Mesnager, Kwang Ho Kim, Junyop Choe, Chunming Tang:
On the Menezes-Teske-Weng's conjecture. - Tianwei Zhang, Zecheng He, Ruby B. Lee:
Privacy-preserving Machine Learning through Data Obfuscation. - Wei Ao, Yanwei Fu, Feng Xu:
Detecting Tiny Moving Vehicles in Satellite Videos. - Thien-Minh Nguyen, Zhirong Qiu, Muqing Cao, Thien Hoang Nguyen, Lihua Xie:
An integrated localization-navigation scheme for distance-based docking of UAVs. - Harold Soh, Pan Shu, Min Chen, David Hsu:
The Transfer of Human Trust in Robot Capabilities across Tasks. - TonTon Hsien-De Huang:
Hunting the Ethereum Smart Contract: Color-inspired Inspection of Potential Attacks. - Carlo Angiuli
The RedPRL Proof Assistant (Invited Paper). 1-10 - Ernesto Copello, Nora Szasz
Formalisation in Constructive Type Theory of Barendregt's Variable Convention for Generic Structures with Binders. 11-26 - Martín Copes, Nora Szasz
Formalization in Constructive Type Theory of the Standardization Theorem for the Lambda Calculus using Multiple Substitution. 27-41 - Rodolphe Lepigre, Christophe Raffalli:
Abstract Representation of Binders in OCaml using the Bindlib Library. 42-56 - François Thiré:
Sharing a Library between Proof Assistants: Reaching out to the HOL Family. 57-71 - Rui Fan, Xiao Ai, Naim Dahnoun:
Road surface 3d reconstruction based on dense subpixel disparity map estimation. - Marie-Liesse Cauwet, Olivier Teytaud:
Surprising strategies obtained by stochastic optimization in partially observable games. - Zhenyu Jiao, Shuqi Sun, Ke Sun:
Chinese Lexical Analysis with Deep Bi-GRU-CRF Network. - Qi Yuan, Bingwang Zhang, Haojie Li, Zhihui Wang, Zhongxuan Luo:
A Single Shot Text Detector with Scale-adaptive Anchors. - Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò:
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. - Jen-Yu Liu, Yi-Hsuan Yang:
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation. - Anton Andreychuk, Konstantin S. Yakovlev:
Multi-robot Path Planning in Well-formed Infrastructures: Prioritized Planning vs. Prioritized Wait Adjustment (Preliminary Results). - Zuxing Li, Tobias J. Oechtering, Deniz Gündüz:
Smart Meter Privacy: Adversarial Hypothesis Testing Models. - Okan Koc, Guilherme Maeda, Jan Peters:
Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. - Marc Roth, Johannes Schmitt:
Counting Induced Subgraphs: A Topological Approach to #W[1]-hardness. - Anna Zamansky, Maria Spichkova, Guillermo Rodríguez-Navas, Peter Herrmann, Jan Olaf Blech:
Towards Classification of Lightweight Formal Methods. - Xiao Zhou, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo:
Evaluating the impact of the 2012 Olympic Games policy on the regeneration of East London using spatio-temporal big data. - Maria Spichkova, Radhika Bhat:
FocusST Solution for Analysis of Cryptographic Properties. - Tawfeeq Alsanoosy, Maria Spichkova, James Harland:
Cultural Influences on Requirements Engineering Process in the Context of Saudi Arabia. - Rudi Horn, Roly Perera, James Cheney
Incremental Relational Lenses. - Andrew Gilbert, Marco Volino, John P. Collomosse, Adrian Hilton:
Volumetric performance capture from minimal camera viewpoints. - Tobias Böttger, Markus Ulrich, Carsten Steger:
Subpixel-Precise Tracking of Rigid Objects in Real-time. - M. S. Ishwarya, Aswani Kumar Cherukuri:
Lattice based Conceptual Spaces to Explore Cognitive Functionalities for Prosthetic Arm. - Markus Müller, Sebastian Stüker, Alex Waibel:
Neural Language Codes for Multilingual Acoustic Models. - Abdelrahman A. H. Anis, Bassant Abdelhamid, Salwa Elramly:
Low Overhead Weighted-Graph-Coloring-Based Two-Layer Precoding for FDD Massive MIMO Systems. - Georgios Papoudakis, Kyriakos C. Chatzidimitriou, Pericles A. Mitkas:
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks. - Ondrej Bajgar
A Boo(n) for Evaluating Architecture Performance. - Annette M. C. Ficker, Thomas Erlebach, Matús Mihalák, Frits C. R. Spieksma:
Partitioning Vectors into Quadruples: Worst-Case Analysis of a Matching-Based Algorithm. - Thomas Probst, Ajad Chhatkuli, Danda Pani Paudel, Luc Van Gool:
Model-free Consensus Maximization for Non-Rigid Shapes. - Hang Su, Xiatian Zhu, Shaogang Gong:
Open Logo Detection Challenge. - Maiia Popel:
The Cloud Technologies and Augmented Reality: the Prospects of Use. - Alexis Brenon, François Portet
Arcades: A deep model for adaptive decision making in voice controlled smart-home. - Aram Ter-Sarkisov, Robert J. Ross, John D. Kelleher, Bernadette Earley, Michael Keane:
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. - Ralf Teusner, Christoph Matthies, Thomas Staubitz:
What Stays in Mind? - Retention Rates in Programming MOOCs. - Regio A. Michelin, Ali Dorri, Roben Castagna Lunardi, Marco Steger, Salil S. Kanhere, Raja Jurdak, Avelino F. Zorzo:
SpeedyChain: A framework for decoupling data from blockchain for smart cities. - Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima:
BayesGrad: Explaining Predictions of Graph Convolutional Networks. - Miaojing Shi, Zhaohui Yang, Chao Xu, Qijun Chen:
Perspective-Aware CNN For Crowd Counting. - Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta:
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection. - Sreekavitha Parupalli, Navjyoti Singh:
A Formal Ontology-Based Classification of Lexemes and its Applications. - Patrick Follmann, Bertram Drost, Tobias Böttger:
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. - Christoph Wick, Christian Reul
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. - Sanaa Sharafeddine, Rania Islambouli:
On-Demand Deployment of Multiple Aerial Base Stations for Traffic Offloading and Network Recovery. - Chuan Zhang, Lulu Ge, Yuchen Zhuang, Ziyuan Shen, Zhiwei Zhong, Zaichen Zhang, Xiaohu You:
DNA Computing for Combinational Logic. - Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger:
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. - Amy LaViers:
Expressivity in Natural and Artificial Systems. - Moritz Lode, Michael Örtl, Christian Koch, Amr Rizk, Ralf Steinmetz:
Detection and Analysis of Content Creator Collaborations in YouTube Videos using Face- and Speaker-Recognition. - Nicholas H. Crisp, Sabrina Livadiotti, Peter C. E. Roberts:
A Semi-Analytical Method for Calculating Revisit Time for Satellite Constellations with Discontinuous Coverage. - Andrea Marrella, Massimo Mecella, Mahmoud Sharf, Tiziana Catarci:
The TESTMED Project Experience. Process-aware Enactment of Clinical Guidelines through Multimodal Interfaces. - Clemens Seibold, Anna Hilsmann, Peter Eisert:
Reflection Analysis for Face Morphing Attack Detection. - Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan:
Consistent Generative Query Networks. - Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya:
TFLMS: Large Model Support in TensorFlow by Graph Rewriting. - Aliasgar Kutiyanawala, Prateek Verma, Zheng Yan:
Towards a simplified ontology for better e-commerce search. - Rui Fan, Yanan Liu, Mohammud Junaid Bocus, Ming Liu:
Real-Time Subpixel Fast Bilateral Stereo. - Marius Buliga
The em-convex rewrite system. - Peiliang Li, Tong Qin, Shaojie Shen:
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving. - Anton Kolonin:
Representing scenarios for process evolution management. - Zhengjun Cao, Zhen Chen, Lihua Liu:
Analysis of Nederlof's algorithm for subset sum. - Fabio Pardo, Vitaly Levdik, Petar Kormushev:
Goal-oriented Trajectories for Efficient Exploration. - Dongdong Zeng, Ming Zhu, Arjan Kuijper:
Combining Background Subtraction Algorithms with Convolutional Neural Network. - Luca Aceto, Ignacio Fábregas, Álvaro García-Pérez, Anna Ingólfsdóttir, Yolanda Ortega-Mallén:
Rule Formats for Nominal Process Calculi. - Henning Tjaden, Ulrich Schwanecke, Elmar Schömer, Daniel Cremers:
A Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking. - Somdip Dey, Grigorios Kalliatakis, Sangeet Saha, Amit Kumar Singh, Shoaib Ehsan, Klaus D. McDonald-Maier:
MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip. - Tobias Kappé
Equivalence checking for weak bi-Kleene algebra. - Yash Patel, Lluís Gómez i Bigorda, Raul Gomez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces. - Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi:
Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems. - Seyma Yucer, Yusuf Sinan Akgul:
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning. - Niki Vazou, Éric Tanter, David Van Horn:
Gradual Liquid Type Inference. - I Gede Pasek Suta Wijaya:
Face Recognition Using Map Discriminant on YCbCr Color Space. - Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari:
Detecting Visual Relationships Using Box Attention. - Huynh Manh, Gita Alaghband:
Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking. - Elias Tragas, Calvin Luo, Maxime Gazeau, Kevin Luk, David Duvenaud:
Scalable Recommender Systems through Recursive Evidence Chains. - Sha Hu:
On Ergodic Capacity and Optimal Number of Tiers in UAV-Assisted Communication Systems. - Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski:
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. - Shweta Yadav, Ankit Kumar, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts. - Mao Yang, Bo Li, Guanxiong Feng, Zhongjiang Yan:
V-CNN: When Convolutional Neural Network encounters Data Visualization. - Mehdi Imani, Abolfazl Qiasi Moghadam, Nasrin Zarif, Omekolsoom Noshiri, Kimia Faramarzi, Hamid R. Arabnia, Majid Joudaki:
A Comprehensive Survey on Addressing Methods in the Internet of Things. - Hamed Rezaei, Mojtaba MalekpourShahraki, Balajee Vamanan:
Slytherin: Dynamic, Network-assisted Prioritization of Tail Packets in Datacenter Networks. - Mogens Graf Plessen:
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling. - Priyadarshini Panda, Kaushik Roy:
Explainable Learning: Implicit Generative Modelling during Training for Adversarial Robustness. - David Paulius, Ahmad Babaeian Jelodar, Yu Sun:
Functional Object-Oriented Network: Construction & Expansion. - David Paulius, Yu Sun:
A Survey of Knowledge Representation and Retrieval for Learning in Service Robotics. - Sergio Oramas, Luis Espinosa Anke, Francisco Gómez, Xavier Serra:
Natural Language Processing for Music Knowledge Discovery. - Arun Tejasvi Chaganty, Stephen Mussmann, Percy Liang:
The price of debiasing automatic metrics in natural language evaluation. - Douglas Comer, Adib Rastegarnia:
OSDF: An Intent-based Software Defined Network Programming Framework. - Marco Del Vecchio, Alexander Kharlamov, Glenn C. Parry, Ganna Pogrebna:
The Data Science of Hollywood: Using Emotional Arcs of Movies to Drive Business Model Innovation in Entertainment Industries. - Li Chen, David Coeurjolly:
Digital Geometry, a Survey. - Siyuan Gong, Anye Zhou, Jian Wang, Tao Li, Srinivas Peeta:
Cooperative Adaptive Cruise Control for a Platoon of Connected and Autonomous Vehicles Considering Dynamic Information Flow Topology. - Patrick Connor:
Addressing the Barriers to Interlingual Rule-based Machine Translation with a Concept Specification and Abstraction Semantic Representation. - Yueyu Hu, Wenhan Yang, Mading Li, Jiaying Liu:
Progressive Spatial Recurrent Neural Network for Intra Prediction. - Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu:
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. - Zirui Wang, Jaime G. Carbonell:
Towards more Reliable Transfer Learning. - Changle Li, Yao Zhang, Tom H. Luan, Yuchuan Fu:
Building Transmission Backbone for Highway Vehicular Networks: Framework and Analysis. - Pengyuan Lyu, Minghui Liao, Cong Yao, Wenhao Wu, Xiang Bai:
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes. - Kevin Lin, Fan Yang, Qiaosong Wang, Robinson Piramuthu:
Adversarial Learning for Fine-grained Image Search. - Omid Mohamad Nezami, Mark Dras, Peter Anderson, Len Hamey:
Face-Cap: Image Captioning using Facial Expression Analysis. - Wajih Ullah Baig, Umar Munir, Waqas Ellahi, Adeel Ejaz, Kashif Sardar:
Minutia Texture Cylinder Codes for fingerprint matching. - Avishek Ghosh, Kannan Ramchandran:
Faster Data-access in Large-scale Systems: Network-scale Latency Analysis under General Service-time Distributions. - Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks. - Mohammad Masudur Rahman, Shamima Yeasmin, Chanchal K. Roy:
Towards a Context-Aware IDE-Based Meta Search Engine for Recommendation about Programming Errors and Exceptions. - Mohammad Masudur Rahman, Chanchal K. Roy:
SurfClipse: Context-Aware Meta Search in the IDE. - Edgar Margffoy-Tuay, Juan C. Pérez, Emilio Botero, Pablo Arbeláez:
Dynamic Multimodal Instance Segmentation guided by natural language queries. - Raghavendra Kumar Chunduri, Aswani Kumar Cherukuri:
Scalable Formal Concept Analysis algorithm for large datasets using Spark. - Mohammad Masudur Rahman, Chanchal K. Roy:
On the Use of Context in Recommending Exception Handling Code Examples. - Charini Nanayakkara, Peter Christen, Thilina Ranbaduge
Temporal graph-based clustering for historical record linkage. - Mohammad Masudur Rahman, Chanchal K. Roy:
TextRank Based Search Term Identification for Software Change Tasks. - Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh:
Variance Reduction for Reinforcement Learning in Input-Driven Environments. - Shiqi Yang, Gang Peng:
Parallel Convolutional Networks for Image Recognition via a Discriminator. - Guohao Lan, Weitao Xu, Dong Ma, Sara Khalifa, Mahbub Hassan, Wen Hu:
EnTrans: Leveraging Kinetic Energy Harvesting Signal for Transportation Mode Detection. - Mohammad Masudur Rahman, Chanchal K. Roy:
Recommending Relevant Sections from a Webpage about Programming Errors and Exceptions. - Mohammad Masudur Rahman, Chanchal K. Roy, Iman Keivanloo:
Recommending Insightful Comments for Source Code using Crowdsourced Knowledge. - Yi Qin, Tao Xie, Chang Xu, Angello Astorga, Jian Lu:
CoMID: Context-based Multi-Invariant Detection for Monitoring Cyber-Physical Software. - Wei Li, Kai Bai, Xiaopei Liu:
Continuous-Scale Kinetic Fluid Simulation. - Adrian Rivera Cardoso, Rachel Cummings:
Differentially Private Online Submodular Optimization. - Zeping Yu, Gongshen Liu:
Sliced Recurrent Neural Networks. - Yuanhong Xu, Pei Dong, Junyu Dong, Lin Qi:
Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction. - Tanner Fiez, Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff:
Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences. - Shihao Zou, Guanyu Tao, Jun Wang, Weinan Zhang, Dell Zhang:
On the Equilibrium of Query Reformulation and Document Retrieval. - Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Sequential Copying Networks. - Konstantinos I. Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp, Sylvain Calinon, Jean-Baptiste Mouret:
A survey on policy search algorithms for learning robot controllers in a handful of trials. - Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao:
Neural Document Summarization by Jointly Learning to Score and Select Sentences. - Vincenzo Sciancalepore, Faqir Zarrar Yousaf, Xavier Costa-Pérez:
z-TORCH: An Automated NFV Orchestration and Monitoring Solution. - Jingjing Zhao, Lifeng Wang, Kai-Kit Wong, Meixia Tao, Toktam Mahmoodi:
Energy and Latency Control for Edge Computing in Dense V2X Networks. - Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
JUMPER: Learning When to Make Classification Decisions in Reading. - Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao:
Memory Augmented Policy Optimization for Program Synthesis with Generalization. - Andreas Pfeuffer, Klaus Dietmayer:
Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions. - Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Sum-Product Networks for Sequence Labeling. - Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Tao Xie:
Oracle-free Detection of Translation Issue for Neural Machine Translation. - Maxime Chaveroche, Adrien Malaisé, Francis Colas, François Charpillet, Serena Ivaldi:
A Variational Time Series Feature Extractor for Action Prediction. - Beniamino Accattoli, Stéphane Graham-Lengrand, Delia Kesner:
Tight Typings and Split Bounds. - Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau, Hartmut Schmeck:
The Influence of Differential Privacy on Short Term Electric Load Forecasting. - Maximilian Jaritz, Raoul de Charette, Marin Toromanoff, Etienne Perot, Fawzi Nashashibi:
End-to-End Race Driving with Deep Reinforcement Learning. - Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes. - Sonit Singh:
Natural Language Processing for Information Extraction. - Holger Schnädelbach, Tom Lodge, Tim Coughlan, Alex S. Taylor:
Photo Screen: Shaping Perceptions of Residential Communities. - Ákos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Nico Gürtler, Luziwei Leng, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Maurice Güttler, Dan Husmann de Oliveira, Kai Husmann, Joscha Ilmberger, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Generative models on accelerated neuromorphic hardware. - Sudha Subramani, Manjula O'Connor:
Extracting Actionable Knowledge from Domestic Violence Discourses on Social Media. - Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis:
Quality Diversity Through Surprise. - Christoph Matthies, Ralf Teusner, Guenter Hesse:
Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts. - Kaixin Hu, Peter O'Connor:
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder. - Songguang Ho, Ramesh Ramasamy Pandi, Sarat Chandra Nagavarapu, Justin Dauwels:
Multi-atomic Annealing Heuristic for Static Dial-a-ride Problem. - Yongchang Hu:
Comments on Cooperative Density Estimation in Random Wireless Ad Hoc Networks. - Enrique Fernández-Macías
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. - Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu:
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification. - Cody Scarborough, Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath Jr.:
Beamforming in Millimeter Wave Systems: Prototyping and Measurement Results. - Alexey A. Novikov, David Major, Maria Wimmer, Dimitrios Lenis, Katja Bühler:
Deep Sequential Segmentation of Organs in Volumetric Medical Scans. - Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou:
Tangent Convolutions for Dense Prediction in 3D. - Andre Beckus, Alexandru Tamasan, George K. Atia:
Multi-modal Non-line-of-sight Passive Imaging. - Samuel Chevalier, Petr Vorobev, Konstantin S. Turitsyn:
A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters. - Lovrenc Svegl, Igor Grabec:
Evolution of natural patterns from random fields. - Antonino Sabetta, Michele Bezzi:
A Practical Approach to the Automatic Classification of Security-Relevant Commits. - Debadri Dutta:
A Review of Different Word Embeddings for Sentiment Classification using Deep Learning. - Kleomenis Katevas, Ioannis Arapakis, Martin Pielot:
Typical Phone Use Habits: Intense Use Does Not Predict Negative Well-Being. - Igor Grabec, Eva Svegl, Mihael Sok:
Development of a sensory-neural network for medical diagnosing. - Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Yansong Feng, Xianpei Han, Zhen Hu, Heng Wang, Jianfeng Xu:
CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction. - Yang Hu, Andrea Soltoggio, Russell Lock, Steve Carter:
A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation. - Rami Klaimi, Charbel Abdel Nour, Catherine Douillard, Joumana Farah:
Design of Low-Complexity Convolutional Codes over GF(q). - Shuang Qiu, David Gesbert, Tao Jiang:
Enabling Covariance-Based Feedback in Massive MIMO: A User Classification Approach. - Shabnam Ghaffarzadegan:
Deep Multiple Instance Feature Learning via Variational Autoencoder. - Keke Zhai, Tania Banerjee, David Zwick, Jason Hackl, Sanjay Ranka:
Dynamic Load Balancing for Compressible Multiphase Turbulence. - Peng Sun, Zhongyong Wang, Robert W. Heath Jr., Philip Schniter:
Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs. - Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan:
EPIC: Welfare Maximization under Economically Postulated Independent Cascade Model. - Zhiyuan Zha, Xin Yuan, Tao Yue, Jiaotao Zhou:
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Denoising. - Gihan J. Mendis, Moein Sabounchi, Jin Wei, Rigoberto Roche':
Blockchain as a Service: An Autonomous, Privacy Preserving, Decentralized Architecture for Deep Learning. - Xin Yu, Sagar Chaturvedi, Chen Feng, Yuichi Taguchi, Teng-Yok Lee, Clinton Fernandes, Srikumar Ramalingam:
VLASE: Vehicle Localization by Aggregating Semantic Edges. - Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco Cohen:
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data. - Emre Ozfatura, Thomas Rarris, Deniz Gündüz, Özgür Erçetin:
Delay-Aware Coded Caching for Mobile Users. - Yuri Faenza, Gonzalo Muñoz, Sebastian Pokutta:
Limits of Treewidth-based tractability in Optimization. - Issam H. Laradji, Reza Babanezhad:
M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning. - Janardhan Kulkarni, Shi Li:
Flow-time Optimization For Concurrent Open-Shop and Precedence Constrained Scheduling Models. - Serhiy O. Semerikov, O. P. Polishchuk:
Methodic of joint using the tools of automation of lexical and parsing analysis in the process of teaching the programming theory of future informatics teachers. - Ali Shahini, Abbas Kiani, Nirwan Ansari:
Energy Efficient Resource Allocation in EH-enabled CR Networks for IoT. - Steven Wei Der Chien, Stefano Markidis, Rami Karim, Erwin Laure, Sai Narasimhamurthy:
Exploring Scientific Application Performance Using Large Scale Object Storage. - Mohammed G. H. al Zamil, Samer Samarah:
Applications of Data Mining Techniques for Vehicular Ad hoc Networks. - Rabe Arshad, Hesham ElSawy, Lutz Lampe, Md. Jahangir Hossain:
Handover Rate Characterization in 3D Ultra-Dense Heterogeneous Networks. - Benjamin Cabrera, Tobias Heindel, Reiko Heckel, Barbara König:
Updating Probabilistic Knowledge on Condition/Event Nets using Bayesian Networks. - Tugba Erpek, Yalin E. Sagduyu, Yi Shi:
Deep Learning for Launching and Mitigating Wireless Jamming Attacks. - Geoffrey H. Tison, Jeffrey Zhang, Francesca N. Delling, Rahul C. Deo:
Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery. - Nan Yang, Rui Wang, Jörg Stückler, Daniel Cremers:
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry. - Graham Cormode, Charlie Dickens, David P. Woodruff:
Leveraging Well-Conditioned Bases: Streaming \& Distributed Summaries in Minkowski p-Norms. - Daniel Kasenberg, Vasanth Sarathy, Thomas Arnold, Matthias Scheutz, Tom Williams:
Quasi-Dilemmas for Artificial Moral Agents. - Hyejin Han, Ricardo G. Sanfelice:
Sufficient Conditions for Temporal Logic Specifications in Hybrid Dynamical Systems. - Ilke Demir, Daniel G. Aliaga:
Guided Proceduralization: Optimizing Geometry Processing and Grammar Extraction for Architectural Models. - Stanislav Fort, Adam Scherlis:
The Goldilocks zone: Towards better understanding of neural network loss landscapes. - Marius Agasse-Duval, Steve Lawford:
Subgraphs and motifs in a dynamic airline network. - Benjamin Eckart, Kihwan Kim, Jan Kautz:
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures. - Stanislav Pidhorskyi, Ranya Almohsen, Donald A. Adjeroh, Gianfranco Doretto:
Generative Probabilistic Novelty Detection with Adversarial Autoencoders. - Arash Shaghaghi, Salil S. Kanhere, Mohamed Ali Kâafar, Elisa Bertino, Sanjay Jha:
Gargoyle: A Network-based Insider Attack Resilient Framework for Organizations. - M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology. - Hélio M. de Oliveira
A Note on the Shannon Entropy of Short Sequences. - Chenyang Lv, Shouling Ji, Yuwei Li
SmartSeed: Smart Seed Generation for Efficient Fuzzing. - Matthew Yung, Eli T. Brown, Alexander Rasin, Jacob D. Furst, Daniela Stan Raicu:
Synthetic Sampling for Multi-Class Malignancy Prediction. - Hankook Lee, Jinwoo Shin:
Anytime Neural Prediction via Slicing Networks Vertically. - Zhengjun Cao, Lihua Liu:
New Algorithms for Subset Sum Problem. - Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang:
Gradient Hyperalignment for multi-subject fMRI data alignment. - Ronny Hans, Björn Richerzhagen, Amr Rizk, Ulrich Lampe, Ralf Steinmetz, Sabrina Klos, Anja Klein:
Little Boxes: A Dynamic Optimization Approach for Enhanced Cloud Infrastructures. - David Goodfellow, Ruoyu Zhi, Rebecca Funke, José Carlos Pulido, Maja J. Mataric, Beth A. Smith:
Predicting Infant Motor Development Status using Day Long Movement Data from Wearable Sensors. - Lukas Gonon, Juan-Pablo Ortega:
Reservoir Computing Universality With Stochastic Inputs. - Olivier Rioul:
Rényi Entropy Power Inequalities via Normal Transport and Rotation. - Soumya Sarkar, Aditya Bhagwat, Animesh Mukherjee:
Core2Vec: A core-preserving feature learning framework for networks. - Panayotis Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras:
Mirror descent in saddle-point problems: Going the extra (gradient) mile. - Ryosuke Kimura, Akihiko Sayo, Fabian Lorenzo Dayrit, Yuta Nakashima, Hiroshi Kawasaki, Ambrosio Blanco, Katsushi Ikeuchi:
Representing a Partially Observed Non-Rigid 3D Human Using Eigen-Texture and Eigen-Deformation. - Yunseok Jang, Gunhee Kim, Yale Song:
Video Prediction with Appearance and Motion Conditions. - Dejan Lavbic, Tadej Matek, Aljaz Zrnec:
Recommender system for learning SQL using hints. - Chairi Kiourt, Dimitris Kalles, Panagiotis Kanellopoulos:
How game complexity affects the playing behavior of synthetic agents. - Wenting Zhao, Chunyan Xu, Zhen Cui, Tong Zhang, Jiatao Jiang, Zhenyu Zhang, Jian Yang:
When Work Matters: Transforming Classical Network Structures to Graph CNN. - Ivan Ustyuzhaninov, Claudio Michaelis, Wieland Brendel, Matthias Bethge:
One-shot Texture Segmentation. - Dohyeun Kim, Tae Joon Jun, Daeyoung Kim, Youngsub Eom:
Tournament Based Ranking CNN for the Cataract grading. - Jörg Franke, Jan Niehues
Robust and Scalable Differentiable Neural Computer for Question Answering. - Ramanarayan Mohanty, S. L. Happy, Aurobinda Routray:
A Supervised Geometry-Aware Mapping Approach for Classification of Hyperspectral Images. - Mohammad Zoofaghari, Hamidreza Arjmandi:
Diffusive Molecular Communication in Biological Cylindrical Environment. - Nabil Ibtehaz, Mohammad Saifur Rahman, M. Sohel Rahman:
VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals. - Shaojie Tang:
Stochastic Coupon Probing in Social Networks. - Soheil Abbasloo, Tong Li, Yang Xu, H. Jonathan Chao:
Cellular Controlled Delay TCP (C2TCP). - Hamid Noroozi, Mohammad Khodaei, Panos Papadimitratos:
VPKIaaS: A Highly-Available and Dynamically-Scalable Vehicular Public-Key Infrastructure. - Pranav A. Bhounsule, Ali Zamani
Switching between Limit Cycles in a Model of Running Using Exponentially Stabilizing Discrete Control Lyapunov Function. - Seyed Majid Azimi, Eleonora Vig, Reza Bahmanyar, Marco Körner, Peter Reinartz:
Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery. - Mohammad Khodaei, Panos Papadimitratos:
Efficient, Scalable, and Resilient Vehicle-Centric Certificate Revocation List Distribution in VANETs. - Joachim Muth, Stefan Uhlich, Nathanaël Perraudin, Thomas Kemp, Fabien Cardinaux, Yuki Mitsufuji:
Improving DNN-based Music Source Separation using Phase Features. - Mikhail Andreev, Avi Klausner, Trishita Tiwari, Ari Trachtenberg, Arkady Yerukhimovich:
Nothing But Net: Invading Android User Privacy Using Only Network Access Patterns. - Ahmed Alkhateeb, Iz Beltagy:
Machine Learning for Reliable mmWave Systems: Blockage Prediction and Proactive Handoff. - Neeraj Varshney, Adarsh Patel, Yansha Deng, Werner Haselmayr, Pramod K. Varshney, Arumugam Nallanathan:
Abnormality Detection inside Blood Vessels with Mobile Nanomachines. - Dexter Kozen, Matvey Soloviev:
Coalgebraic Tools for Randomness-Conserving Protocols. - Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister:
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. - Wentai Zhang, Haoliang Jiang, Zhangsihao Yang, Soji Yamakawa, Kenji Shimada, Levent Burak Kara:
Data-driven Upsampling of Point Clouds. - Ryan Cotterell, Jason Eisner:
A Deep Generative Model of Vowel Formant Typology. - Ryan Cotterell, Christo Kirov, Mans Hulden, Jason Eisner:
On the Complexity and Typology of Inflectional Morphological Systems. - Kamal Al-Sabahi, Zuping Zhang, Kang Yang:
Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings. - Rui Fan, Naim Dahnoun:
Real-time stereo vision-based lane detection system. - Ameer Tamoor Khan, Shuai Li, Predrag S. Stanimirovic, Yinyan Zhang:
Model-Free Optimization Using Eagle Perching Optimizer. - Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu:
Image Super-Resolution Using Very Deep Residual Channel Attention Networks. - Sreejith Sreekumar, Asaf Cohen, Deniz Gündüz:
Distributed Hypothesis Testing Under Privacy Constraints. - Eitan Tiktinsky, Shai Gul, Slava Shamshanov, Reuven Cohen:
Online exploration outside a convex obstacle. - Thomas Pellegrini:
Densely Connected CNNs for Bird Audio Detection. - Max S. New, Amal Ahmed:
Graduality from Embedding-projection Pairs (Extended Version). - Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. - Marcin Szlenk:
Formal Semantics of Architectural Decision Models. - Haseeb Shah
Distillation Techniques for Pseudo-rehearsal Based Incremental Learning. - Pascal Mettes, Cees G. M. Snoek:
Spatio-Temporal Instance Learning: Action Tubes from Class Supervision. - Khurram Javed, Faisal Shafait:
Revisiting Distillation and Incremental Classifier Learning. - Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. - Mitchell Wand, Ryan Culpepper, Theophilos Giannakopoulos, Andrew Cobb:
Contextual Equivalence for a Probabilistic Language with Continuous Random Variables and Recursion. - The-Hien Dang-Ha:
Improving Deep Learning through Automatic Programming. - Wei Yin, Peizhao Hu, Jadwiga Indulska, Marius Portmann, Ying Mao:
MAC-Layer Rate Control for 802.11 Networks: Lesson Learned and Looking Forward. - Aljaz Zrnec, Dejan Lavbic:
Social network aided plagiarism detection: Social network aided plagiarism detection. - Anjan Dutta, Pau Riba, Josep Lladós, Alicia Fornés:
Hierarchical Stochastic Graphlet Embedding for Graph-based Pattern Recognition. - Bo Li, Tianfu Wu, Lun Zhang, Rufeng Chu:
Auto-Context R-CNN. - Paolo Missier, Shaimaa Bajoudah, Angelo Capossele, Andrea Gaglione, Michele Nati:
Mind My Value: a decentralized infrastructure for fair and trusted IoT data trading. - Francisco Barranco, Cornelia Fermüller, Eduardo Ros:
Real-time clustering and multi-target tracking using event-based sensors. - Pankaj Gupta, Bernt Andrassy, Hinrich Schütze:
Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts. - Karim Iskakov:
Semi-parametric Image Inpainting. - Rohollah Moghadam, Aquib Mustafa, Hamidreza Modares, Tamer Basar:
Resilient Output Synchronization of Heterogeneous Multi-agent Systems under Cyber-Physical Attacks. - Pushparaja Murugan:
Learning The Sequential Temporal Information with Recurrent Neural Networks. - Fuhui Zhou, Xiongjian Zhang, Rose Qingyang Hu, Apostolos Papathanassiou, Weixiao Meng:
Resource Allocation Based on Deep Neural Networks for Cognitive Radio Networks. - Stéphane Chrétien, Hemant Tyagi:
Multi-kernel unmixing and super-resolution using the Modified Matrix Pencil method. - Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters II:
QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential. - Yong Wang, Xiao-Ming Wu
Large Margin Few-Shot Learning. - Wlodzislaw Duch:
Separability is not the best goal for machine learning. - Andreas Lenz, Niklas Jünger, Antonia Wachter-Zeh:
Bounds and Constructions for Multi-Symbol Duplication Error Correcting Codes. - Laura Giordano, Valentina Gliozzi:
Reasoning about exceptions in ontologies: from the lexicographic closure to the skeptical closure. - Volodymyr Lyubinets, Taras Boiko, Deon Nicholas:
Automated labeling of bugs and tickets using attention-based mechanisms in recurrent neural networks. - Sergiu Deitsch, Vincent Christlein, Stephan Berger, Claudia Buerhop-Lutz, Andreas K. Maier, Florian Gallwitz, Christian Riess:
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images. - Jun Long, Qunfeng Liu, Xinpan Yuan, Chengyuan Zhang, Junfeng Liu:
A Filter of Minhash for Image Similarity Measures. - Nikola Ljubesic, Darja Fiser, Anita Peti-Stantic:
Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings. - Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh:
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. - Walid Abdullah Al, Il Dong Yun:
Partial Policy-based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images. - Gregory Plumb, Denali Molitor, Ameet Talwalkar:
Supervised Local Modeling for Interpretability. - Abdulaziz M. Alayba, Vasile Palade, Matthew England, Rahat Iqbal:
A Combined CNN and LSTM Model for Arabic Sentiment Analysis. - Mohammad-Reza Sadeghi, Farzane Amirzade, Daniel Panario, Amin Sakzad:
A Neural Network Lattice Decoding Algorithm. - Shiqi Yang, Gang Peng:
Attention to Refine through Multi-Scales for Semantic Segmentation. - Aniket Anand Deshmukh, Ankit Bansal, Akash Rastogi:
Domain2Vec: Deep Domain Generalization. - Paul Rosen, Mustafa Hajij, Junyi Tu, Tanvirul Arafin, Les A. Piegl:
Inferring Quality in Point Cloud-based 3D Printed Objects using Topological Data Analysis. - Yizhi Zhao:
Active Secure Coding Based on Eavesdropper Behavior Learning. - Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak:
Generating objects going well with the surroundings. - Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li:
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector. - Chi-Ning Chou, Yu-Jing Lin, Ren Chen, Hsiu-Yao Chang, I-Ping Tu, Shih-wei Liao:
Personalized Difficulty Adjustment for Countering the Double-Spending Attack in Proof-of-Work Consensus Protocols. - Chen Avin, Stefan Schmid:
Toward Demand-Aware Networking: A Theory for Self-Adjusting Networks. - Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn:
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence. - Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. - Snehasis Mukherjee, Leburu Anvitha, T. Mohana Lahari:
Human Activity Recognition in RGB-D Videos by Dynamic Images. - Nripesh Parajuli, Allen Lu, Kevinminh Ta, John C. Stendahl, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis. - Mohammad Masudur Rahman, Chanchal K. Roy, David Lo:
RACK: Automatic API Recommendation using Crowdsourced Knowledge. - Tyson Condie, Ariyam Das, Matteo Interlandi, Alexander Shkapsky, Mohan Yang, Carlo Zaniolo:
Scaling-Up Reasoning and Advanced Analytics on BigData. - Chih-Yi Chiu, Amorntip Prayoonwong, Yin-Chih Liao:
Learning to Index for Nearest Neighbor Search. - Ryo Shirakawa, Yusei Yokoyama, Fumiya Okazaki, Ichigaku Takigawa:
Jointly learning relevant subgraph patterns and nonlinear models of their indicators. - Mohammad Masudur Rahman, Chanchal K. Roy:
QUICKAR: Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge. - Mohammad Masudur Rahman, Chanchal K. Roy, Jason A. Collins:
CORRECT: Code Reviewer Recommendation in GitHub Based on Cross-Project and Technology Experience. - Davide Fucci, Simone Romano, Maria Teresa Baldassarre, Danilo Caivano, Giuseppe Scanniello, Burak Thuran, Natalia Juristo:
A Longitudinal Cohort Study on the Retainment of Test-Driven Development. - Bernard Berthomieu, Didier Le Botlan, Silvano Dal-Zilio:
Petri Net Reductions for Counting Markings. - Yan Shao, Christian Hardmeier, Joakim Nivre:
Universal Word Segmentation: Implementation and Interpretation. - Xu Liu, Licheng Jiao, Xu Tang, Qigong Sun, Dan Zhang:
Polarimetric Convolutional Network for PolSAR Image Classification. - Fuat Basik, Bugra Gedik, Hakan Ferhatosmanoglu, Kun-Lung Wu:
Fair Task Allocation in Crowdsourced Delivery. - Marcos A. C. Oliveira, Eraldo Ribeiro, Carmelo J. A. Bastos Filho, Ronaldo Menezes:
Spatio-temporal variations in the urban rhythm: the travelling waves of crime. - Guoxiang Zhou, Berta Bescós, Marcin Dymczyk, Mark Pfeiffer, José Neira, Roland Siegwart:
Dynamic Objects Segmentation for Visual Localization in Urban Environments. - Yohei Saito, Takuya Kato:
Decreasing the size of the Restricted Boltzmann machine. - Chao-Han Huck Yang, Rise Ooi, Tom Hiscock, Víctor M. Eguíluz, Jesper Tegnér:
Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics. - Chiara Bodei, Linda Brodo, Roberto Bruni:
A Formal Approach to Open Multiparty Interactions. - Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi:
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis. - Angel Daza, Anette Frank:
A Sequence-to-Sequence Model for Semantic Role Labeling. - Francesco Conti, Pasquale Davide Schiavone, Luca Benini:
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference. - Miguel Feria, Juan Paolo Balbin, Francis Michael Bautista:
Constructing a Word Similarity Graph from Vector based Word Representation for Named Entity Recognition. - Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
External Patch-Based Image Restoration Using Importance Sampling. - Fangneng Zhan, Shijian Lu, Chuhui Xue:
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes. - Ari Heljakka, Arno Solin, Juho Kannala:
Pioneer Networks: Progressively Growing Generative Autoencoder. - Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image Restoration Using Conditional Random Fields and Scale Mixtures of Gaussians. - Fabio Luporini, Michael Lange, Mathias Louboutin, Navjot Kukreja, Jan Hückelheim, Charles Yount, Philipp A. Witte, Paul H. J. Kelly, Gerard J. Gorman, Felix J. Herrmann:
Architecture and performance of Devito, a system for automated stencil computation. - Suman Roy, Srinivasan Krishnaswamy:
Analysis of Statistical Properties of Nonlinear Feedforward Generators Over Finite Fields. - Dan Boneh, Darren B. Glass, Daniel Krashen, Kristin E. Lauter, Shahed Sharif, Alice Silverberg, Mehdi Tibouchi, Mark Zhandry:
Multiparty Non-Interactive Key Exchange and More From Isogenies on Elliptic Curves. - Kezhi Li, John Daniels, Pau Herrero Viñas, Chengyuan Liu, Pantelis Georgiou:
Convolutional Recurrent Neural Networks for Blood Glucose Prediction. - Emilia Gómez, Merlijn Blaauw, Jordi Bonada, Pritish Chandna, Helena Cuesta:
Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners. - Abel Gawel, Yukai Lin, Théodore Koutros, Roland Siegwart, Cesar Cadena:
Aerial-Ground collaborative sensing: Third-Person view for teleoperation. - Ivan Bilan, Benjamin Roth:
Position-aware Self-attention with Relative Positional Encodings for Slot Filling. - Pedro Henrique Martins, Luís Custódio, Rodrigo Ventura:
A deep learning approach for understanding natural language commands for mobile service robots. - Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier:
Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion. - Hongyu Wang, Yong Xia:
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. - Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A. Mann, André Barreto:
Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem. - Hamed Rahimi, Ali Zibaeenejad, Ali Akbar Safavi:
A Novel IoT Architecture based on 5G-IoT and Next Generation Technologies. - Patrick Rodler, Wolfgang Schmid:
Evaluating Active Learning Heuristics for Sequential Diagnosis. - Zibi Xiao, Xiangyong Zeng, Chunlei Li, Tor Helleseth:
Corrigendum to New Generalized Cyclotomic Binary Sequences of Period p2. - Kaiyang Zhou, Tao Xiang, Andrea Cavallaro:
Video Summarisation by Classification with Deep Reinforcement Learning. - Babak Fotouhi, Naghmeh Momeni, Benjamin Allen, Martin A. Nowak:
Evolution of Cooperation on Stochastic Block Models. - Di Hu, Feiping Nie, Xuelong Li:
Deep Co-Clustering for Unsupervised Audiovisual Learning. - Ulzee An, Khader Shameer, Lakshmi Subramanian:
Mammography Assessment using Multi-Scale Deep Classifiers. - Álvaro Peris, Francisco Casacuberta:
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning. - Ayse Ipek Akin, Nafiseh Janatian, Ivan Stupia, Luc Vandendorpe:
SWIPT-based Real-Time Mobile Computing Systems: A Stochastic Geometry Perspective. - Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh:
Execution-Guided Neural Program Decoding. - Arezoo Khatibi, Omid Khatibi:
Criteria for the CloudSim Environment. - Keith D. Cooper, Xiaoran Xu:
Efficient Characterization of Hidden Processor Memory Hierarchies. - Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi, Santanu Pal, Liviu P. Dinu:
Discriminating between Indo-Aryan Languages Using SVM Ensembles. - Gowri Sankar Ramachandran, Kwame-Lante Wright, Bhaskar Krishnamachari:
Trinity: A Distributed Publish/Subscribe Broker with Blockchain-based Immutability. - Egon Kidmose, Emad Ebeid, Rune Hylsberg Jacobsen:
A Framework for Detecting and Translating User Behavior from Smart Meter Data. - Florina M. Ciorba
The importance and need for system monitoring and analysis in HPC operations and research. - Zhi Chen, Pin-Han Ho:
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning. - Miguel Martin-Abadal, Eric Guerrero-Font, Francisco Bonin-Font, Yolanda González Cid:
Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows indentification. - Nicholas Tan Jerome, Z. Ateyev, S. Schmelzle, Suren Chilingaryan, Andreas Kopmann:
Real-time Local Noise Filter in 3D Visualization of CT Data. - Mrinal Haloi, K. Raja Rajalakshmi, Pradeep Walia:
Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening. - Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu:
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation. - Taro Langner, Anders Hedström, Håkan Ahlström, Joel Kullberg, Katharina Paulmichl, Daniel Weghuber, Anders Forslund, Peter Bergsten:
Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI. - Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser:
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. - Ho Seok Ahn, Feras Dayoub, Marija Popovic, Bruce A. MacDonald, Roland Siegwart, Inkyu Sa:
An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest. - Kranthi Kumar Rachavarapu, Moneish Kumar, Vineet Gandhi
Watch to Edit: Video Retargeting using Gaze. - Vít Ruzicka:
Estimating Bicycle Route Attractivity from Image Data. - Diederik Paul Moeys, Daniel Neil, Federico Corradi
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing. - Dov Danon, Hadar Averbuch-Elor, Ohad Fried, Daniel Cohen-Or:
Unsupervised Natural Image Patch Learning. - Zhiyan Cui, Na Lu:
Fast Dynamic Convolutional Neural Networks for Visual Tracking. - Takuma Nakamura, Ryosuke Goto:
Outfit Generation and Style Extraction via Bidirectional LSTM and Autoencoder. - Mohammad Tofighi, Tiantong Guo, Jairam K. P. Vanamala, Vishal Monga:
Deep Networks with Shape Priors for Nucleus Detection. - Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun:
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. - Will Nash, Tom Drummond, Nick Birbilis:
Quantity beats quality for semantic segmentation of corrosion in images. - Vikram Garg, Girish Sathyanarayana, Sumit Borar, Aruna Rajan:
Utility in Fashion with implicit feedback. - Bishwo Adhikari, Jukka Peltomäki, Jussi Puura, Heikki Huttunen:
Faster Bounding Box Annotation for Object Detection in Indoor Scenes. - Lisbeth Fajstrup:
Cut-off Theorems for the PV-model. - Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson, Mohammad Norouzi:
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning. - Siddhartha Chandra, Camille Couprie, Iasonas Kokkinos:
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation. - Dan Rosenbaum, Frederic Besse, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami:
Learning models for visual 3D localization with implicit mapping. - Marie-Morgane Paumard, David Picard, Hedi Tabia:
Jigsaw Puzzle Solving Using Local Feature Co-Occurrences in Deep Neural Networks. - Hamid Reza Shahdoosti:
A new ultrasound despeckling method through adaptive threshold. - Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
Sparse Deep Neural Network Exact Solutions. - Gaojun Luo, Xiwang Cao:
MDS codes with arbitrary dimensional hull and their applications. - Arthur C. Costa, Helder Cesar Rodigues de Oliveira, Juliana H. Catani, Nestor de Barros, Carlos F. E. Melo, Marcelo Andrade da Costa Vieira:
Data Augmentation for Detection of Architectural Distortion in Digital Mammography using Deep Learning Approach. - Maksym Zavershynskyi, Alexander Skidanov, Illia Polosukhin:
NAPS: Natural Program Synthesis Dataset. - Mehdi Tavan, Kamel Sabahi:
Input Current Sensorless Control for a AC-DC Converter with Unknown Load and Source Voltage Amplitude. - Kilian Hett, Vinh-Thong Ta, José Vicente Manjón, Pierrick Coupé
Graph of brain structures grading for early detection of Alzheimer's disease. - Xiao Liu, Bin Zhang, Anjana Susarla, Rema Padman:
YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos. - Andreas Hauptmann, Ben T. Cox, Felix Lucka, Nam Huynh, Marta M. Betcke, Paul C. Beard, Simon R. Arridge:
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction. - Daniel Ritter, Stefanie Rinderle-Ma, Marco Montali, Andrey Rivkin, Aman Sinha:
Catalog of Formalized Application Integration Patterns. - Zimin Chen, Martin Monperrus:
The CodRep Machine Learning on Source Code Competition. - Bingcong Li, Tianyi Chen, Georgios B. Giannakis:
Delayed Bandit Online Learning with Unknown Delays. - Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
Efficient Decentralized Deep Learning by Dynamic Model Averaging. - Soroush M. Sohi, Fatemeh Ganji, Jean-Pierre Seifert:
Recurrent Neural Networks for Enhancement of Signature-based Network Intrusion Detection Systems. - Fenglei Fan, Ge Wang
Fuzzy Logic Interpretation of Artificial Neural Networks. - Ravi Kokku, Aditya Vempaty, Tamer Abuelsaad, Prasenjit Dey, Tammy Humphrey, Akimi Gibson, Jennifer Kotler:
Design and Evaluation of a Tutor Platform for Personalized Vocabulary Learning. - Peng Zhang, Jules White, Douglas C. Schmidt, Gunther Lenz, S. Trent Rosenbloom:
FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data. - Mengxin Sun, KunHong Liu, Qingqi Hong, Beizhan Wang:
A New ECOC Algorithm for Multiclass Microarray Data Classification. - Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz:
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. - Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang:
Automatic multi-objective based feature selection for classification. - Asim Iqbal, Asfandyar Sheikh, Theofanis Karayannis:
Exploring Brain-wide Development of Inhibition through Deep Learning. - Junaid Ahsenali Chaudhry, Kashif Saleem, Paul S. Haskell-Dowland, Mahdi H. Miraz:
A Survey of Distributed Certificate Authorities in MANETs. - Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski:
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. - Daniel Sýkora, Ondrej Jamriska, Jingwan Lu, Eli Shechtman:
StyleBlit: Fast Example-Based Stylization with Local Guidance. - Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan:
Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection. - Shengjian Guo, Meng Wu, Chao Wang:
Adversarial Symbolic Execution for Detecting Concurrency-Related Cache Timing Leaks. - Ahmed I. Taloba, Dalia A. Eisa, Safaa S. I. Ismail:
A Comparative Study on using Principle Component Analysis with Different Text Classifiers. - Pengchong Jin, Vivek Rathod, Xiangxin Zhu:
Pooling Pyramid Network for Object Detection. - Nicolò Cesa-Bianchi, Tommaso Cesari
Dynamic Pricing with Finitely Many Unknown Valuations. - Faezeh Alavi, Kanapathippillai Cumanan, Zhiguo Ding, Alister G. Burr:
Beamforming Techniques for Non-Orthogonal Multiple Access in 5G Cellular Networks. - Jan Kretínský, Tobias Meggendorfer, Salomon Sickert:
LTL Store: Repository of LTL formulae from literature and case studies. - Grégoire Jauvion, Nicolas Grislain, Pascal Dkengne Sielenou, Aurélien Garivier, Sébastien Gerchinovitz:
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling. - Qinqin Long, Winfried Kurth, Christophe Pradal, Vincent Migault, Benoît Pallas:
An Architecture for the Integration of Different Functional and Structural Plant Models. - Xiaoyong Yuan, Pan He, Xiaolin Andy Li:
Adaptive Adversarial Attack on Scene Text Recognition. - Chungha Sung, Brandon Paulsen, Chao Wang:
CANAL: A Cache Timing Analysis Framework via LLVM Transformation. - Davide Bilò, Kleitos Papadopoulos
An Interesting Structural Property Related to the Problem of Computing All the Best Swap Edges of a Tree Spanner in Unweighted Graphs. - Behrooz Tahmasebi, Mohammad Ali Maddah-Ali, Saeedeh Parsaeefard, Babak Hossein Khalaj:
Optimum Transmission Delay for Function Computation in NFV-based Networks: the role of Network Coding and Redundant Computing. - Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. - Muneer Ahmad Dedmari, Sailesh Conjeti, Santiago Estrada, Phillip Ehses, Tony Stöcker, Martin Reuter:
Complex Fully Convolutional Neural Networks for MR Image Reconstruction. - Maisa Daoud, Michael Mayo:
Using Swarm Optimization To Enhance Autoencoders Images. - Rupesh Chinta, Shuai D. Han, Jingjin Yu:
Coordinating the Motion of Labeled Discs with Optimality Guarantees under Extreme Density. - Xiao Zhou, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo:
Detecting Socio-Economic Impact of Cultural Investment Through Geo-Social Network Analysis. - David Fiedler, Michal Certický, Javier Alonso-Mora, Michal Cáp:
The Impact of Ridesharing in Mobility-on-Demand Systems: Simulation Case Study in Prague. - Olesya Mryglod, Yurij Holovatch, Ralph Kenna:
Data Mining in Scientometrics: usage analysis for academic publications. - Gareth Andrews, Sam Endean, Roberto Dyke
HDFD - A High Deformation Facial Dynamics Benchmark for Evaluation of Non-Rigid Surface Registration and Classification. - Dmytro V. Lande, C. V. Prishchepa:
The automatic detection of the information operations event basis. - Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. - Anirudh Paranjothi, Mohammad S. Khan, Mohammed Atiquzzaman:
Hybrid-Vehcloud: An Obstacle Shadowing Approach for VANETs in Urban Environment. - Harm de Vries, Kurt Shuster, Dhruv Batra, Devi Parikh, Jason Weston, Douwe Kiela:
Talk the Walk: Navigating New York City through Grounded Dialogue. - Sam Safavi, José Bento:
n-metrics for multiple graph alignment. - Aparna Bharati, Daniel Moreira, Joel Brogan, Patricia Hale, Kevin W. Bowyer
Beyond Pixels: Image Provenance Analysis Leveraging Metadata. - Avishek Ghosh, Kannan Ramchandran:
Online Scoring with Delayed Information: A Convex Optimization Viewpoint. - Aarush Gupta, Dakshit Agrawal, Hardik Chauhan, Jose Dolz, Marco Pedersoli:
An Attention Model for group-level emotion recognition. - Alvaro Tzul:
Multicore architecture and cache optimization techniques for solving graph problems. - Joost Huizinga, Jeff Clune:
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm. - Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia:
Towards Non-Parametric Learning to Rank. - Hao Tang, James R. Glass:
On Training Recurrent Networks with Truncated Backpropagation Through Time in Speech Recognition. - Ashwath Kumar Salimath, Robin K. Thomas, Sethuram Ramalinga Reddy, Yuhao Qiao:
Detecting Levels of Depression in Text Based on Metrics. - Denis Newman-Griffis, Albert M. Lai, Eric Fosler-Lussier:
Jointly Embedding Entities and Text with Distant Supervision. - Dimitrios Korkinof, Tobias Rijken, Michael O'Neill, Joseph Yearsley, Hugh Harvey
High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks. - Vsevolod Sourkov:
IGLOO: Slicing the Features Space to Represent Long Sequences. - Benjamin Doerr, Carola Doerr, Jing Yang:
Optimal Parameter Choices via Precise Black-Box Analysis. - Swaminathan Gurumurthy, Shubham Agrawal:
High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization. - Minh Nguyen, Thien Huu Nguyen:
Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs. - Junhyeok Ahn, Orion Campbell, Donghyun Kim, Luis Sentis:
Fast Kinodynamic Bipedal Locomotion Planning with Moving Obstacles. - Sören Becker, Marcel Ackermann, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek:
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. - Jian-Jia Weng, Lin Song, Fady Alajaji, Tamás Linder:
Capacity of Two-Way Channels with Symmetry Properties. - Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson:
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. - Carlos David Brito Pacheco, Carlos Francisco Brito Loeza:
A New Variational Model for Binary Classification in the Supervised Learning Context. - Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. - Hedyeh Beyhaghi, Negin Golrezaei, Renato Paes Leme, Martin Pal, Balasubramanian Sivan:
Improved Approximations for Free-Order Prophets and Second-Price Auctions. - Asim Iqbal, Romesa Khan, Theofanis Karayannis:
Developing Brain Atlas through Deep Learning. - Jinfa Wang, Hai Zhao, Shuai-Zong Si, Hao Yu, Shuai Chao, Xuan He:
Using Complex Network Theory for Temporal Locality in Network Traffic Flows. - Ravi Kumar Thakur, Snehasis Mukherjee:
SceneEDNet: A Deep Learning Approach for Scene Flow Estimation. - Jianrui Cai, Zisheng Cao, Lei Zhang:
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates. - Shinnosuke Takamichi, Yuki Saito, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari:
Phase reconstruction from amplitude spectrograms based on von-Mises-distribution deep neural network. - Shin Kamada, Takumi Ichimura:
An Adaptive Learning Method of Restricted Boltzmann Machine by Neuron Generation and Annihilation Algorithm. - Assaf J. Kfoury, Benjamin Sisson:
Efficient Reassembling of Three-Regular Planar Graphs. - De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration. - Shin Kamada, Takumi Ichimura:
An Adaptive Learning Method of Deep Belief Network by Layer Generation Algorithm. - Shin Kamada, Takumi Ichimura:
Fine Tuning Method by using Knowledge Acquisition from Deep Belief Network. - Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han:
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. - Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond:
Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme. - Takumi Ichimura, Takuya Uemoto, Shin Kamada:
The Recommendation System to SNS Community for Tourists by Using Altruistic Behaviors. - Shin Kamada, Takumi Ichimura, Takanobu Watanabe:
A Recommendation System of Grants to Acquire External Funds. - Benjamin Doerr, Martin S. Krejca:
Significance-based Estimation-of-Distribution Algorithms. - Daniel Barath:
Recovering affine features from orientation- and scale-invariant ones. - Juan Cao, Junbo Guo, Xirong Li, Zhiwei Jin, Han Guo, Jintao Li:
Automatic Rumor Detection on Microblogs: A Survey. - Ali Ghanbari, Lingming Zhang:
Practical Program Repair via Bytecode Mutation. - Zhihao Zhu, Zhan Xue, Zejian Yuan:
Topic-Guided Attention for Image Captioning. - Mayank K. Pal, Rupali Bhati, Anil Sharma, Sanjit K. Kaul, Saket Anand, P. B. Sujit:
A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving. - Michael Dikshtein, Ruchen Duan, Yingbin Liang, Shlomo Shamai:
Parallel Gaussian Channels Corrupted by Independent States With a State-Cognitive Helper. - Matheus Gadelha, Rui Wang, Subhransu Maji:
Multiresolution Tree Networks for 3D Point Cloud Processing. - Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom:
Privacy-Adversarial User Representations in Recommender Systems. - Andrés Camero
DLOPT: Deep Learning Optimization Library. - Saeed Anwar, Chongyi Li, Fatih Porikli:
Deep Underwater Image Enhancement. - Jasper Goseling, Osvaldo Simeone:
Soft-TTL: Time-Varying Fractional Caching. - Hossein Sabzian, Hossein Gharib, Seyyed Mostafa Seyyed Hashemi, Ali Maleki:
A strategic framework for identifying the critical factors of 4G technology diffusion in I.R. Iran - A Fuzzy DEMATEL approach. - Oskar Schirmer
Parallel Architecture Hardware and General Purpose Operating System Co-design. - Chuhui Xue, Shijian Lu, Fangneng Zhan:
Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping. - Mingjie Shao, Qiang Li, Yatao Liu, Wing-Kin Ma:
Multiuser One-Bit Massive MIMO Precoding Under MPSK Signaling. - Martin Zaefferer, Thomas Bartz-Beielstein, Günter Rudolph:
An Empirical Approach For Probing the Definiteness of Kernels. - Liyang Liu, Teng Zhang, Yi Liu, Brenton Leighton, Liang Zhao, Shoudong Huang
Parallax Bundle Adjustment on Manifold with Convexified Initialization. - Rémy Degenne, Evrard Garcelon, Vianney Perchet:
Bandits with Side Observations: Bounded vs. Logarithmic Regret. - Kevin Beineke, Stefan Nothaas, Michael Schöttner:
DXRAM's Fault-Tolerance Mechanisms Meet High Speed I/O Devices. - Irene Córdoba
A modelling language for the effective design of Java annotations. - Min Wu, Matthew Wicker, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska:
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees. - Ali Mohammed, Florina M. Ciorba
SiL: An Approach for Adjusting Applications to Heterogeneous Systems Under Perturbations. - Rajkumar Buyya, Maria Alejandra Rodriguez, Adel Nadjaran Toosi, Jaeman Park:
Cost-Efficient Orchestration of Containers in Clouds: A Vision, Architectural Elements, and Future Directions. - András Dobó:
Multi-D Kneser-Ney Smoothing Preserving the Original Marginal Distributions. - Martin Sulzmann, Kai Stadtmüller:
Two-Phase Dynamic Analysis of Message-Passing Go Programs based on Vector Clocks. - Yifan Gao, Jianan Wang, Lidong Bing, Irwin King, Michael R. Lyu:
Difficulty Controllable Question Generation for Reading Comprehension. - Richeng Tan, Jing Li:
Two-stage iterative Procrustes match algorithm and its application for VQ-based speaker verification. - Qinghe Du, Houbing Song, Xuejie Zhu:
Social-Feature Enabled Communications among Devices towards Smart IoT Community. - Christoph Dalitz
Paired Comparison Sentiment Scores. - Sylvie Le Hégarat-Mascle, Emanuel Aldea, Jennifer Vandoni:
Efficient Evaluation of the Number of False Alarm Criterion. - Ákos Kádár, Marc-Alexandre Côté, Grzegorz Chrupala, Afra Alishahi:
Revisiting the Hierarchical Multiscale LSTM. - Tobias Prinz, Peihong Yuan:
Successive Cancellation List Decoding of BMERA Codes with Application to Higher-Order Modulation. - Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Essential Tensor Learning for Multi-view Spectral Clustering. - Max Bannach, Till Tantau:
Computing Kernels in Parallel: Lower and Upper Bounds. - Romana Markovic, Eva Grintal, Daniel Wölki, Jérôme Frisch, Christoph van Treeck:
Window Opening Model using Deep Learning Methods. - Martin Hora, Václav Koncický, Jakub Tetek:
Theoretical Model of Computation and Algorithms for FPGA-based Hardware Accelerators. - Shenghua He, Jie Zheng, Akiko Maehara, Gary S. Mintz, Dalin Tang, Mark A. Anastasio, Hua Li:
Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images. - Amin Salehi, Hasan Davulcu:
Detecting Antagonistic and Allied Communities on Social Media. - Fedor Kitashov, Elizaveta Svitanko, Debojyoti Dutta:
Foreign English Accent Adjustment by Learning Phonetic Patterns. - Klaus Jansen, Lars Rohwedder:
A note on the integrality gap of the configuration LP for restricted Santa Claus. - Jürgen Dölz, Stefan Kurz, Sebastian Schöps, Felix Wolf:
A Numerical Comparison of an Isogeometric and a Classical Higher-Order Approach to the Electric Field Integral Equation. - Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Steven Wei Der Chien, Sergio Rivas-Gomez, Ivy Bo Peng, Erwin Laure, Shaun De Witt, Dirk Pleiter, Stefano Markidis:
The SAGE Project: a Storage Centric Approach for Exascale Computing. - Tong Wang, Veerajalandhar Allareddy, Sankeerth Rampa, Veerasathpurush Allareddy:
Interpretable Patient Mortality Prediction with Multi-value Rule Sets. - Flavio L. Duarte, Rodrigo C. de Lamare:
Study of Switched Max-Link Buffer-Aided Relay Selection for Cooperative MIMO Systems. - Dejan Lavbic, Olegas Vasilecas, Rok Rupnik:
Ontology-based multi-agent system to support business users and management. - Olegas Vasilecas, Diana Kalibatiene, Dejan Lavbic:
Rule- and context-based dynamic business process modelling and simulation. - Bo Jiang, Philippe Nain, Don Towsley, Saikat Guha:
On a Class of Stochastic Multilayer Networks. - Omer Rajput, Nils Gessert
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks. - Alfredo Nazábal, Pablo M. Olmos
Handling Incomplete Heterogeneous Data using VAEs. - Kei Yin Ng, Anna Feldman
Linguistic Characteristics of Censorable Language on SinaWeibo. - Tamal K. Dey:
Computing Height Persistence and Homology Generators in ℝ3 Efficiently. - Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum:
Enriching Knowledge Bases with Counting Quantifiers. - Xiangxi Shi, Jianfei Cai, Jiuxiang Gu, Shafiq R. Joty:
Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction. - Hao Dai, H. Patrick Young
TrialChain: A Blockchain-Based Platform to Validate Data Integrity in Large, Biomedical Research Studies. - Pascal Koiran, Nicolas Ressayre:
Orbits of monomials and factorization into products of linear forms. - Guido Novati, Lakshminarayanan Mahadevan, Petros Koumoutsakos:
Deep-Reinforcement-Learning for Gliding and Perching Bodies. - Sébastien Cossin, Vianney Jouhet, Fleur Mougin, Gayo Diallo, Frantz Thiessard:
IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates. - Manos Schinas, Symeon Papadopoulos, Yiannis Kompatsiaris, Pericles A. Mitkas:
Event Detection and Retrieval on Social Media. - Michal Pilipczuk, Sebastian Siebertz:
Polynomial bounds for centered colorings on proper minor-closed graph classes. - Lucas Lima, Julio C. S. Reis, Philipe F. Melo, Fabricio Murai, Leandro Araújo, Pantelis Vikatos, Fabrício Benevenuto:
Inside the Right-Leaning Echo Chambers: Characterizing Gab, an Unmoderated Social System. - R. M. Farouk, M. E. Abd El-aziz, A. M. Adam:
Sparse Representation and Non-Negative Matrix Factorization for image denoise. - Veronica Morfi, Dan Stowell:
Deep Learning for Audio Transcription on Low-Resource Datasets. - Stefan K. Muller, Umut A. Acar, Robert Harper:
Competitive Parallelism: Getting Your Priorities Right. - Qingpeng Cai, Ling Pan, Pingzhong Tang:
Generalized deterministic policy gradient algorithms. - Timothy Wong, Zhiyuan Luo:
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis. - Rajesh Chidambaram, Michael Kampffmeyer, Willie Neiswanger, Xiaodan Liang, Thomas Lachmann, Eric P. Xing:
Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful. - Heiko Drewes, Mohamed Khamis, Florian Alt:
DialPlate: Enhancing the Detection of Smooth Pursuits Eye Movements Using Linear Regression. - Isaac Goldstein, Moshe Lewenstein, Ely Porat:
Improved Space-Time Tradeoffs for kSUM. - Robin Brochier, Adrien Guille, Julien Velcin
Peerus Review: a tool for scientific experts finding. - Soumya Basu, Dahlia Malkhi, Mike Reiter, Alin Tomescu:
Asynchronous Verifiable Secret-Sharing Protocols on a Good Day. - Maximilian Probst
On the complexity of the (approximate) nearest colored node problem. - Nabil Simaan, Rashid M. Yasin, Long Wang:
Medical Technologies and Challenges of Robot Assisted Minimally Invasive Intervention and Diagnostics. - Robert Atkey, Sam Lindley:
Proceedings of the 7th Workshop on Mathematically Structured Functional Programming, MSFP@FSCD 2018, Oxford, UK, 8th July 2018. EPTCS 275, 2018 [contents] - Kun Tu, Jian Li, Don Towsley, Dave Braines, Liam D. Turner:
Network Classification in Temporal Networks Using Motifs. - Naoto Shiraishi, Jun Takahashi:
Constructing Concrete Hard Instances of the Maximum Independent Set Problem. - Donghong Cai, Zhiguo Ding, Pingzhi Fan, Zheng Yang:
On the Performance of NOMA with Hybrid ARQ. - Aäron van den Oord, Yazhe Li, Oriol Vinyals:
Representation Learning with Contrastive Predictive Coding. - Yehia Elkhatib:
Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice. - Duarte Pinto, João Pedro Dias, Hugo Sereno Ferreira:
Dynamic Allocation of Serverless Functions in IoT Environments. - Vladimir Kiriansky, Carl A. Waldspurger:
Speculative Buffer Overflows: Attacks and Defenses. - Yen-Chia Hsu:
SimArch: A Multi-agent System For Human Path Simulation In Architecture Design. - Jinfeng Du, Dmitry Chizhik, Rodolfo Feick, Mauricio Rodríguez, Guillermo Castro, Reinaldo A. Valenzuela:
Suburban Fixed Wireless Access Channel Measurements and Models at 28 GHz for 90% Outdoor Coverage. - Chi Jin, Zeyuan Allen-Zhu, Sébastien Bubeck, Michael I. Jordan:
Is Q-learning Provably Efficient? - Peihong Yuan, Fabian Steiner:
Efficient Decoding Algorithms for Polar Codes based on 2×2 Non-Binary Kernels. - Robert Rudolph, Katja Herzog, Reinhard Töpfer, Volker Steinhage:
Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks. - Jinyao Xia, Bingjia Xiao, Fei Yang, Dan Li:
EAST Real-Time VOD System Based on MDSplus. - Milos Fidler, Dejan Lavbic:
Improving information quality of Wikipedia articles with cooperative principle. - Xiaodan Liang, Tairui Wang, Luona Yang, Eric P. Xing:
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving. - Chungha Sung, Shuvendu K. Lahiri, Constantin Enea, Chao Wang:
Datalog-based Scalable Semantic Diffing of Concurrent Programs. - Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser:
Universal Transformers. - Mohamadreza Ahmadi, Murat Cubuktepe, Nils Jansen, Ufuk Topcu:
Verification of Uncertain POMDPs Using Barrier Certificates. - Hicham El-Zein, Meng He, J. Ian Munro, Bryce Sandlund:
Improved Time and Space Bounds for Dynamic Range Mode. - Matteo Signorini, Matteo Pontecorvi, Wael Kanoun, Roberto Di Pietro:
BAD: Blockchain Anomaly Detection. - Jens Meinicke, Chu-Pan Wong, Christian Kästner, Gunter Saake:
Understanding Differences among Executions with Variational Traces. - Marek Cygan, Artur Czumaj, Marcin Mucha, Piotr Sankowski:
Online Facility Location with Deletions. - Sampurna Biswas, Hemant Kumar Aggarwal, Sunrita Poddar, Mathews Jacob:
Model-based free-breathing cardiac MRI reconstruction using deep learned & STORM priors: MoDL-STORM. - Alexander van der Grinten, Elisabetta Bergamini, Oded Green, David A. Bader, Henning Meyerhenke:
Scalable Katz Ranking Computation in Large Static and Dynamic Graphs. - Chun-Fu Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris:
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition. - Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma:
Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees. - Guilherme Vieira Pinto, João Pedro Dias
Blockchain-based PKI for Crowdsourced IoT Sensor Information. - Rajeev Alur, Dana Fisman, Konstantinos Mamouras, Mukund Raghothaman, Caleb Stanford:
Streamable Regular Transductions. - Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang:
Learning Implicit Generative Models by Teaching Explicit Ones. - Tianlang Chen, Zhongping Zhang, Quanzeng You, Chen Fang, Zhaowen Wang, Hailin Jin, Jiebo Luo:
"Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention. - Jinming Wen, Chao Tong, Shi Bai:
Effects of Some Lattice Reductions on the Success Probability of the Zero-Forcing Decoder. - Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh:
Using deep learning for comprehensive, personalized forecasting of Alzheimer's Disease progression. - Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang:
Deep Structured Generative Models. - Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi:
DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications. - Alexey Potapov, Sergey Rodionov, Maxim Peterson, Oleg Shcherbakov, Innokentii Zhdanov, Nikolai Skorobogatko:
Vision System for AGI: Problems and Directions. - Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris:
Deep Imbalanced Attribute Classification using Visual Attention Aggregation. - Andre Paulino de Lima
Limits to Surprise in Recommender Systems. - Constantinos Daskalakis, Ioannis Panageas:
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization. - Md. Kamruzzaman Sarker, Kazi Md. Rokibul Alam, Md. Arifuzzaman:
Emotion Recognition from Speech based on Relevant Feature and Majority Voting. - Seyyed Ali Hashemi, Nghia Doan, Marco Mondelli, Warren J. Gross:
Decoding Reed-Muller and Polar Codes by Successive Factor Graph Permutations. - Hai Pham, Thomas Manzini, Paul Pu Liang, Barnabás Póczos:
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis. - Matthew Nero, Chuanhe Jay Shan, Li-C. Wang, Nik Sumikawa:
Discovering Interesting Plots in Production Yield Data Analytics. - Salvatore Talarico, Matthew C. Valenti, Marco Di Renzo:
Outage Correlation in Finite and Clustered Wireless Networks. - Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang:
Generative Adversarial Networks with Decoder-Encoder Output Noise. - Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis Gopal Banerjee:
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation. - Bo Jiang, Ye Liu, W. K. Chan:
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection. - Poongjin Cho, Minhyuk Lee, Woojin Chang:
Instance-based entropy fuzzy support vector machine for imbalanced data. - Ramesh R. Manuvinakurike, Sumanth Bharadwaj, Kallirroi Georgila:
A Dialogue Annotation Scheme for Weight Management Chat using the Trans-Theoretical Model of Health Behavior Change. - Deepthi Karkada, Ramesh R. Manuvinakurike, Kallirroi Georgila:
Towards Understanding End-of-trip Instructions in a Taxi Ride Scenario. - Shin Kamada, Takumi Ichimura:
Shortening Time Required for Adaptive Structural Learning Method of Deep Belief Network with Multi-Modal Data Arrangement. - Takumi Ichimura, Shin Kamada:
Adaptive Learning Method of Recurrent Temporal Deep Belief Network to Analyze Time Series Data. - Shin Kamada, Takumi Ichimura:
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control. - Dat Quoc Nguyen, Karin Verspoor:
An improved neural network model for joint POS tagging and dependency parsing. - Ruibo Li, Ke Xian, Chunhua Shen, Zhiguo Cao, Hao Lu, Lingxiao Hang:
Deep attention-based classification network for robust depth prediction. - Aurélie Massart, Valentin Rombouts, Pierre Schaus:
Testing Global Constraints. - Lutz Bornmann, Robin Haunschild, Jonathan Adams:
Do altmetrics assess societal impact in the same way as case studies? An empirical analysis testing the convergent validity of altmetrics based on data from the UK Research Excellence Framework (REF). - Yakov Babichenko, Oren Dean, Moshe Tennenholtz:
Sequential Voting with Confirmation Network. 19-34 - Oren Dean, Yakov Babichenko, Moshe Tennenholtz:
Paradoxes in Sequential Voting. - Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann:
Learning Neural Models for End-to-End Clustering. - Ruibo Tu, Cheng Zhang, Paul Ackermann, Hedvig Kjellström, Kun Zhang:
Causal discovery in the presence of missing data. - Yongming Shen, Tianchu Ji, Michael Ferdman, Peter A. Milder:
Medusa: A Scalable Interconnect for Many-Port DNN Accelerators and Wide DRAM Controller Interfaces. - Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
On catastrophic forgetting and mode collapse in Generative Adversarial Networks. - Atif Muhammad Syed, Sameer Qazi, Nicolas Gillis:
Improved SVD-based Initialization for Nonnegative Matrix Factorization using Low-Rank Correction. - Iuri D. Nogueira, Maram Romdhane, Jérôme Darmont
Modeling Data Lake Metadata with a Data Vault. - Jeevan Manavalan, Yuchen Zhao, Matthew Howard:
Learning Singularity Avoidance. - René Bødker Christensen, Olav Geil:
On nested code pairs from the Hermitian curve. - Hongyu Li, Fan Zhu, Junhua Qiu:
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
DCNN-based Human-Interpretable Post-mortem Iris Recognition. - Roberto Annunziata, Christos Sagonas, Jacques Calì:
DeSTNet: Densely Fused Spatial Transformer Networks. - Daniel Varab, Natalie Schluter:
UniParse: A universal graph-based parsing toolkit. - Nicoló Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana:
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Presentation Attack Detection for Cadaver Iris. - Mateusz Trokielewicz, Ewelina Bartuzi:
Cross-spectral Iris Recognition for Mobile Applications using High-quality Color Images. - Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini:
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions. - Muhammed Kocabas, Salih Karagoz, Emre Akbas:
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network. - Jezdimir Milosevic, Henrik Sandberg, Karl Henrik Johansson:
A Security Index for Actuators Based on Perfect Undetectability: Properties and Approximation. - Jeremy Cohen, Daniel S. Katz, Michelle Barker, Robert Haines, Neil P. Chue Hong:
Building a Sustainable Structure for Research Software Engineering Activities. - (Withdrawn) A punishment voting algorithm based on super categories construction for acoustic scene classification.
- Jeremy Pope:
Formalizing Constructive Quantifier Elimination in Agda. 2-17 - Exequiel Rivas
Relating Idioms, Arrows and Monads from Monoidal Adjunctions. 18-33 - Conor McBride:
Everybody's Got To Be Somewhere. 53-69 - Zainab Alansari, Nor Badrul Anuar, Amirrudin Kamsin, Mohammad Riyaz Belgaum, Jawdat Alshaer, Safeeullah Soomro, Mahdi H. Miraz:
Internet of Things: Infrastructure, Architecture, Security and Privacy. - Dejan Lavbic, Marjan Krisper:
Facilitating Ontology Development with Continuous Evaluation. - Vladimir Rybalkin, Alessandro Pappalardo, Muhammad Mohsin Ghaffar, Giulio Gambardella, Norbert Wehn, Michaela Blott:
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs. - Georg L. Grob, Ângelo Cardoso, C. H. Bryan Liu, Duncan A. Little, Benjamin Paul Chamberlain:
A Recurrent Neural Network Survival Model: Predicting Web User Return Time. - Huaibo Huang, Lingxiao Song, Ran He, Zhenan Sun, Tieniu Tan:
Variational Capsules for Image Analysis and Synthesis. - Simone Romano, Giuseppe Scanniello, Davide Fucci, Natalia Juristo, Burak Turhan:
The Effect of Noise on Sofware Engineers' Performance. - Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed:
VFunc: a Deep Generative Model for Functions. - Rudy Arthur, Hywel T. P. Williams:
The Human Geography of Twitter. - Samy Nascimento, Matias Valdenegro-Toro:
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks. - Meng Wang, Javier Santillan, Fernando Kuipers:
ThingPot: an interactive Internet-of-Things honeypot. - Loet Leydesdorff, Caroline S. Wagner, Lutz Bornmann:
Interdisciplinarity as Diversity in Citation Patterns among Journals: Rao-Stirling Diversity, Relative Variety, and the Gini coefficient. - Takumi Ichimura, Takuya Uemoto, Akira Hara:
Emergence of Altruism Behavior for Multi Feeding Areas in Army Ant Social Evolutionary System. - Jarek Duda:
Exploiting statistical dependencies of time series with hierarchical correlation reconstruction. - Mohammad Masudur Rahman, Chanchal K. Roy, Jesse Redl, Jason A. Collins:
CORRECT: Code Reviewer Recommendation at GitHub for Vendasta Technologies. - Johannes Hellrich, Sven Buechel, Udo Hahn:
JeSemE: A Website for Exploring Diachronic Changes in Word Meaning and Emotion. - Hui Sun, Wei Liu, Jianzhong Huang, Weisong Shi:
Co-KV: A Collaborative Key-Value Store Using Near-Data Processing to Improve Compaction for the LSM-tree. - Siu-Wing Cheng, Yuchen Mao:
Integrality Gap of the Configuration LP for the Restricted Max-Min Fair Allocation. - Mateusz Trokielewicz, Adam Czajka:
Data-Driven Segmentation of Post-mortem Iris Images. - Alexander A. Alemi, Ian Fischer:
TherML: Thermodynamics of Machine Learning. - Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi:
Fully Polynomial-Time Approximation Schemes for Fair Rent Division. - Tomasz Luczynski, Andreas Birk:
Underwater Image Haze Removal and Color Correction with an Underwater-ready Dark Channel Prior. - Stéphane Perrin
Decision method choice in a human posture recognition context. - Tomás Brychcín:
Linear Transformations for Cross-lingual Semantic Textual Similarity. - Tomás Brychcín, Stephen Eugene Taylor, Lukás Svoboda:
Cross-lingual Word Analogies using Linear Transformations between Semantic Spaces. - Luca Viganò, Daniele Magazzeni:
Explainable Security. - Martin Wilhelm:
On error representation in exact-decisions number types. - Arnaud Mas, Idriss Ismaël, Nicolas Filliard:
Indy: a virtual reality multi-player game for navigation skills training. - Assaf J. Kfoury:
A Fixed-Parameter Linear-Time Algorithm for Maximum Flow in Planar Flow Networks. - Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy:
VTA: An Open Hardware-Software Stack for Deep Learning. - Bardia Doosti, Tao Dong, Biplab Deka, Jeffrey Nichols:
A Computational Method for Evaluating UI Patterns. - Aykut Özgün Önol, Philip Long, Taskin Padir:
Using Contact to Increase Robot Performance for Glovebox D&D Tasks. - Saumya Jetley, Nicholas A. Lord, Philip H. S. Torr:
With Friends Like These, Who Needs Adversaries? - Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
Time and Local Popularity in top-N Recommendation. - Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone:
The importance of being dissimilar in Recommendation. - Ranveer Singh, Swarup Kumar Panda, Naomi Shaked-Monderer, Abraham Berman:
Rank of weighted digraphs with blocks. - Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion. - Seyyedali Hosseinalipour, Huaiyu Dai:
A Two-Stage Auction Mechanism for Cloud Resource Allocation. - Yandong Li, Liqiang Wang, Tianbao Yang, Boqing Gong:
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization. - Xiaodong Jia, Liang Zhao, Lian Zhang, Juncai He, Jinchao Xu:
Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks. - David G. T. Barrett, Felix Hill, Adam Santoro, Ari S. Morcos, Timothy P. Lillicrap:
Measuring abstract reasoning in neural networks. - Hossein K. Mousavi, Christoforos Somarakis, Nader Motee:
Koopman Performance Analysis of Nonlinear Consensus Networks. - Sourya Dey, Keith M. Chugg, Peter A. Beerel:
Morse Code Datasets for Machine Learning. - Yang Zhou, Yan Huang:
DeepMove: Learning Place Representations through Large Scale Movement Data. - Adel M. Elmahdy, Soheil Mohajer:
On the Fundamental Limits of Coded Data Shuffling for Distributed Learning Systems. - Paul Hand, Oscar Leong, Vladislav Voroninski:
Phase Retrieval Under a Generative Prior. - Florent Capelli, Stefan Mengel:
Knowledge Compilation, Width and Quantification. - Ewin Tang:
A quantum-inspired classical algorithm for recommendation systems. - Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Chandrasekhar:
Manifold regularization with GANs for semi-supervised learning. - Amariah Becker, Alice Paul:
A PTAS for Minimum Makespan Vehicle Routing in Trees. - Enrique Amigó, Fernando Giner, Stefano Mizzaro, Damiano Spina:
A Formal Account of Effectiveness Evaluation and Ranking Fusion. - Rebecca L. Russell, Louis Y. Kim, Lei H. Hamilton, Tomo Lazovich, Jacob A. Harer, Onur Ozdemir, Paul M. Ellingwood, Marc W. McConley:
Automated Vulnerability Detection in Source Code Using Deep Representation Learning. - Awais Mansoor, Juan J. Cerrolaza, Geovanny F. Perez, Elijah Biggs, Kazunori Okada, Gustavo Nino, Marius George Linguraru:
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning. - Yanxia Zhang, Hayley Hung:
Using Topic Models to Mine Everyday Object Usage Routines Through Connected IoT Sensors. - Brenton Lessley:
Data-Parallel Hashing Techniques for GPU Architectures. - Sri Kalyan Yarlagadda, Fengqing Zhu:
A Reflectance Based Method For Shadow Detection and Removal. - Varun N. Shenoy, Elizabeth Foster, Lauren Aalami, Bakar Majeed, Oliver O. Aalami:
Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks. - Bo Zhou, Walid Saad:
Joint Status Sampling and Updating for Minimizing Age of Information in the Internet of Things. - Jun Xu, Lei Zhang, David Zhang:
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising. - Vasyl Pihur, Aleksandra Korolova, Frederick Liu, Subhash Sankuratripati, Moti Yung, Dachuan Huang, Ruogu Zeng:
Differentially-Private "Draw and Discard" Machine Learning. - Michael Cerny Green
AtDelfi: Automatically Designing Legible, Full Instructions For Games. - Yunchou Xing, Ojas Kanhere, Shihao Ju, Theodore S. Rappaport, George R. MacCartney Jr.:
Verification and Calibration of Antenna Cross-Polarization Discrimination and Penetration Loss for Millimeter Wave Communications. - Yihuang Kang, Keng-Pei Lin, I-Ling Cheng:
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization. - Shihao Ju, Theodore S. Rappaport:
Simulating Motion - Incorporating Spatial Consistency into the NYUSIM Channel Model. - Lin Xiao, Yu Xu, Dingcheng Yang, Yong Zeng:
Secrecy Energy Efficiency Maximization for UAV-Enabled Mobile Relaying. - Dhruv Rohatgi:
Sliding window order statistics in sublinear space. - Sébastien Bubeck, Michael B. Cohen, James R. Lee, Yin Tat Lee:
Metrical task systems on trees via mirror descent and unfair gluing. - Hyo-Sung Ahn, Quoc Van Tran
Cooperative opinion dynamics on multiple interdependent topics: Modeling and some observations. - Anoop Cherian, Alan Sullivan:
Sem-GAN: Semantically-Consistent Image-to-Image Translation. - Wai Ho Chak, Chun Pong Lau
Subsampled Turbulence Removal Network. - Aaron Potechin:
On the Approximation Resistance of Balanced Linear Threshold Functions. - Shree M. Prasad, Trilochan Panigrahi, Mahbub Hassan:
Direction of Arrival Estimation for Nanoscale Sensor Networks. - Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Will it Blend? Composing Value Functions in Reinforcement Learning. - Roberto Camacho Barranco, Raimundo F. Dos Santos, Mahmud Shahriar Hossain:
Tracking the Evolution of Words with Time-reflective Text Representations. - Pengfei Zhang, Jianru Xue, Cuiling Lan, Wenjun Zeng, Zhanning Gao, Nanning Zheng:
Adding Attentiveness to the Neurons in Recurrent Neural Networks. - Pablo Aragón, Yago Bermejo, Vicenç Gómez, Andreas Kaltenbrunner:
Interactive Discovery System for Direct Democracy. - Steffen Bondorf, Binbin Chen, Jonathan Scarlett, Haifeng Yu, Yuda Zhao:
Cross-Sender Bit-Mixing Coding. - Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh:
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. - Magnus Gedda, Mikael Z. Lagerkvist, Martin Butler:
Monte Carlo Methods for the Game Kingdomino. - Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Xiaoying Tang:
W-net: Bridged U-net for 2D Medical Image Segmentation. - Miguel Campo, Cheng-Kang Hsieh, Matt Nickens, J. J. Espinoza, Abhinav Taliyan, Julie Rieger, Jean Ho, Bettina Sherick:
Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation. - Peter Müller, Jan-Hendrik Passoth:
Engineering Collaborative Social Science Toolkits. STS Methods and Concepts as Devices for Interdisciplinary Diplomacy. - Ansuman Adhikary, Alexei E. Ashikhmin:
Uplink Massive MIMO for Channels with Spatial Correlation. - Mohammad Masudur Rahman, Chanchal K. Roy:
STRICT: Information Retrieval Based Search Term Identification for Concept Location. - Mohammad Masudur Rahman, Chanchal K. Roy, David Lo:
RACK: Code Search in the IDE using Crowdsourced Knowledge. - Mohammad Masudur Rahman, Chanchal K. Roy, Raula Gaikovina Kula:
Predicting Usefulness of Code Review Comments using Textual Features and Developer Experience. - Haidar Osman, Mohammad Ghafari, Oscar Nierstrasz:
The Impact of Feature Selection on Predicting the Number of Bugs. - Mohammad Masudur Rahman, Chanchal K. Roy:
Improved Query Reformulation for Concept Location using CodeRank and Document Structures. - Vikraman Arvind, Abhranil Chatterjee, Rajit Datta, Partha Mukhopadhyay:
Fast Exact Algorithms Using Hadamard Product of Polynomials. - Erik Aaron Hansen, Stefano Nichele, Anis Yazidi, Hårek Haugerud, Asieh Abolpour Mofrad, Alex Alcocer:
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution. - Zhouyuan Huo, Bin Gu, Heng Huang:
Training Neural Networks Using Features Replay. - Guanqun Ding, Yuming Fang:
Video Saliency Detection by 3D Convolutional Neural Networks. - Dan Feldman, Melanie Schmidt, Christian Sohler:
Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering. - Theo Ungerer, Paul Carpenter:
Eurolab-4-HPC Long-Term Vision on High-Performance Computing. - Stéfi Nouleho, Dominique Barth, Franck Quessette, Marc-Antoine Weisser, Dimitri Watel, Olivier David:
A new graph modelisation for molecule similarity. - Daniel Torres-Salinas, Nicolás Robinson-García, Henk F. Moed:
Disentangling Gold Open Access. - Bertrand Lebichot, Guillaume Guex, Ilkka Kivimäki, Marco Saerens:
A Constrained Randomized Shortest-Paths Framework for Optimal Exploration. - Mnacho Echenim, Nicolas Peltier, Yanis Sellami:
A Generic Framework for Implicate Generation Modulo Theories. - Jaideep Mulherkar:
Shannon and Rényi entropy rates of stationary vector valued Gaussian random processes. - Giuseppe De Giacomo, Brian Logan, Paolo Felli, Fabio Patrizi, Sebastian Sardiña:
Situation Calculus for Synthesis of Manufacturing Controllers. - Yuming Fang, Guanqun Ding, Yuan Yuan, Weisi Lin, Haiwen Liu:
Robustness Analysis of Pedestrian Detectors for Surveillance. - Achim Blumensath:
Branch-Continuous Tree Algebras. - Zeqi Lai, Yong Cui, Ziyi Wang, Xiaoyu Hu:
Immersion on the Edge: A Cooperative Framework for Mobile Immersive Computing. - Masakazu Ishihata, Takanori Maehara, Tomas Rigaux:
Algorithmic Meta-Theorems for Monotone Submodular Maximization. - Ferdi Kara, Hakan Kaya:
Derivation of the closed-form BER expressions for DL-NOMA over Nakagami-m fading channels. - Ezgi Sanli, Ferdi Kara, Hakan Kaya:
Effect of the Error Propagation on the Error Performance of Cooperative Communications with the Best Relay Selection Schemes. - Fanny, Tjeng Wawan Cenggoro:
Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network. - Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy P. Lillicrap:
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. - Flavio V. D. de Figueiredo, Guilherme Resende Borges, Pedro O. S. Vaz de Melo, Renato M. Assunção:
Fast Estimation of Causal Interactions using Wold Processes. - Matías Toro, Elizabeth Labrada, Éric Tanter:
Gradual Parametricity, Revisited. - Eugene F. Dumitrescu, Allison L. Fisher, Timothy D. Goodrich, Travis S. Humble, Blair D. Sullivan, Andrew L. Wright:
Benchmarking treewidth as a practical component of tensor-network-based quantum simulation. - Carmine Abate, Roberto Blanco, Deepak Garg, Catalin Hritcu, Marco Patrignani, Jérémy Thibault:
Exploring Robust Property Preservation for Secure Compilation. - Mateusz Dubiel, Martin Halvey, Leif Azzopardi:
A Survey Investigating Usage of Virtual Personal Assistants. - Chen Avin, Kaushik Mondal, Stefan Schmid:
Push-Down Trees: Optimal Self-Adjusting Complete Trees. - W. Cyrus Proctor, Mike Packard, Anagha Jamthe, Richard Cardone, Joseph Stubbs:
Virtualizing the Stampede2 Supercomputer with Applications to HPC in the Cloud. - Niels Karowski, Konstantin Miller:
Proofs and Performance Evaluation of Greedy Multi-Channel Neighbor Discovery Approaches. - David Mateo, Nikolaj Horsevad, Vahid Hassani, Mohammadreza Chamanbaz, Roland Bouffanais:
Optimal Network Topology for Effective Collective Response. - Monica Hernandez:
PDE-constrained LDDMM via geodesic shooting and inexact Gauss-Newton-Krylov optimization using the incremental adjoint Jacobi equations. - Harris V. Georgiou, Sophia Karagiorgou, Yannis Kontoulis, Nikos Pelekis, Petros Petrou, David Scarlatti, Yannis Theodoridis:
Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods. - Michael Chang, Abhishek Gupta, Sergey Levine, Thomas L. Griffiths:
Automatically Composing Representation Transformations as a Means for Generalization. - Jinming Wen, Zhengchun Zhou, Jian Wang, Xiaohu Tang, Qun Mo:
A Sharp Condition for Exact Support Recovery of Sparse Signals With Orthogonal Matching Pursuit. - Michael Veale, Reuben Binns, Lilian Edwards:
Algorithms that Remember: Model Inversion Attacks and Data Protection Law. - Nikolaos Pappas, Marios Kountouris:
Stable Throughput Region of the Two-User Interference Channel. - Pavel Praks, Dejan Brkic:
One-Log Call Iterative Solution of the Colebrook Equation for Flow Friction Based on Pade Polynomials. - Christian S. Perone, Julien Cohen-Adad:
Deep semi-supervised segmentation with weight-averaged consistency targets. - Michiel de Bondt:
Subset synchronization of DFAs and PFAs, and some other results. - Jacob Montiel, Jesse Read, Albert Bifet, Talel Abdessalem:
Scikit-Multiflow: A Multi-output Streaming Framework. - Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner:
Learning to Segment Medical Images with Scribble-Supervision Alone. - Robin Haunschild, Werner Marx, Andreas Thor, Lutz Bornmann:
How to identify the roots of broad research topics and fields? The introduction of RPYS sampling using the example of climate change research. - Yuchen Zhao, Hsiu-Chin Lin, Matthew Howard:
A Library for Constraint Consistent Learning. - Yuan Zhang:
Unseeded low-rank graph matching by transform-based unsupervised point registration. - Erik D. Demaine, Jacob Hendricks, Meagan Olsen, Matthew J. Patitz, Trent A. Rogers, Nicolas Schabanel, Shinnosuke Seki, Hadley Thomas:
Know When to Fold 'Em: Self-Assembly of Shapes by Folding in Oritatami. - Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang:
Toward Convolutional Blind Denoising of Real Photographs. - Linara Adilova, Sven Giesselbach, Stefan Rüping:
Making Efficient Use of a Domain Expert's Time in Relation Extraction. - Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer:
The Importance of Song Context and Song Order in Automated Music Playlist Generation. - Nikita Basov, Ju-Sung Lee, Artem Antonyuk:
Social Networks and Construction of Culture: A Socio-Semantic Analysis of Art Groups. - Sudipta Chattopadhyay, Abhik Roychoudhury:
Symbolic Verification of Cache Side-channel Freedom. - Marcin Dymczyk, Igor Gilitschenski, Juan I. Nieto, Simon Lynen, Bernhard Zeisl, Roland Siegwart:
LandmarkBoost: Efficient Visual Context Classifiers for Robust Localization. - Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang:
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data. - Christian Schulz, Brian Uzzi, Dirk Helbing, Olivia Woolley-Meza:
A network-based citation indicator of scientific performance. - Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Orthogonal Matching Pursuit for Text Classification. - Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly:
The GAN Landscape: Losses, Architectures, Regularization, and Normalization. - Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio:
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach. - Diogo M. Costa:
Computational Complexity of Games and Puzzles. - Alex Withers, Brian Bockelman, Derek Weitzel, Duncan A. Brown, Jeff Gaynor, Jim Basney, Todd Tannenbaum, Zach Miller:
SciTokens: Capability-Based Secure Access to Remote Scientific Data. - Bahareh Tolooshams, Sourav Dey, Demba E. Ba:
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders. - Maksims Dimitrijevs, Abuzer Yakaryilmaz:
Probabilistic verification of all languages. - Majd Latah:
When deep learning meets security. - Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Rémi Le Priol, Simon Lacoste-Julien, Ioannis Mitliagkas:
Negative Momentum for Improved Game Dynamics. - Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine:
Visual Reinforcement Learning with Imagined Goals. - Erik Partridge, Jack Sklar, Omar El-lakany:
Improving on Q & A Recurrent Neural Networks Using Noun-Tagging. - Himanshu Sharma, Anthony D. Fontanini, Umesh Vaidya, Baskar Ganapathysubramanian:
Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions. - Christo Kirov, Ryan Cotterell:
Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate. - Florian Dubost, Gerda Bortsova, Hieab Adams, Mohammad Arfan Ikram, Wiro J. Niessen, Meike W. Vernooij, Marleen de Bruijne:
Hydranet: Data Augmentation for Regression Neural Networks. - Adil Çoban, Ilhan Tarimer:
Feature Selection for Gender Classification in TUIK Life Satisfaction Survey. - David Lowell, Zachary C. Lipton, Byron C. Wallace:
How transferable are the datasets collected by active learners? - Nathaniel Lahn, Sharath Raghvendra:
A Faster Algorithm for Minimum-Cost Bipartite Matching in Minor-Free Graphs. - Yifan Jing, Akbar Rafiey:
Counting maximal near perfect matchings in quasirandom and dense graphs. - Matthew Jenssen, Peter Keevash, Will Perkins:
Algorithms for #BIS-hard problems on expander graphs. - Allen Lu, Nripesh Parajuli, Maria Zontak, John C. Stendahl, Kevinminh Ta, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Imran Alkhalil, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation. - Sangpil Kim, Nick Winovich, Guang Lin, Karthik Ramani:
CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification. - Xianchao Long, Philip Long, Aykut Özgün Önol, Taskin Padir:
Integrating Risk in Humanoid Robot Control for Applications in the Nuclear Industry. - Jérôme Durand-Lose, Jacob Hendricks, Matthew J. Patitz, Ian Perkins, Michael Sharp:
Self-Assembly of 3-D Structures Using 2-D Folding Tiles. - Jiyang Gao, Kan Chen, Ram Nevatia:
CTAP: Complementary Temporal Action Proposal Generation. - Wei Zhao, Borzoo Bonakdarpour:
Decentralized Multi-UAV Routing in the Presence of Disturbances. - Kyriakos Axiotis, Arturs Backurs, Christos Tzamos:
Fast Modular Subset Sum using Linear Sketching. - Jacob Hendricks, Joseph Opseth, Matthew J. Patitz, Scott M. Summers:
Hierarchical Growth is Necessary and (Sometimes) Sufficient to Self-Assemble Discrete Self-Similar Fractals. - Yandong Wen, Mahmoud Al Ismail, Bhiksha Raj, Rita Singh:
Optimal Strategies for Matching and Retrieval Problems by Comparing Covariates. - Jiali Teddy Zhai, Sobhan Niknam, Todor P. Stefanov:
Modeling, Analysis, and Hard Real-time Scheduling of Adaptive Streaming Applications. - Yandong Wen, Mahmoud Al Ismail, Weiyang Liu, Bhiksha Raj, Rita Singh:
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces. - Nicola Gigante, Angelo Montanari, Marta Cialdea Mayer, Andrea Orlandini, Mark Reynolds:
A game-theoretic approach to timeline-based planning with uncertainty. - Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell:
An Approximate Message Passing Framework for Side Information. - Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan:
Modeling and Analysis of D2D Millimeter-Wave Networks with Poisson Cluster Processes. - Mojtaba Ahmadi Almasi, Roohollah Amiri, Hani Mehrpouyan:
A New Millimeter Wave MIMO System for 5G Networks. - Wenqiang Yi, Yuanwei Liu, Arumugam Nallanathan:
Cache-enabled HetNets With Millimeter Wave Small Cells. - Hassan M. Navazi, Md. Jahangir Hossain:
Novel Method for Multi-Dimensional Mapping of Higher Order Modulations for BICM-ID Over Rayleigh Fading Channels. - Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Rahil Garvani:
A feature agnostic approach for glaucoma detection in OCT volumes. - Arturo Gomez Chavez, Andrea Ranieri, Davide Chiarella, Enrica Zereik, Anja Babic, Andreas Birk:
CADDY Underwater Stereo-Vision Dataset for Human-Robot Interaction (HRI) in the Context of Diver Activities. - Vitaliy Batusov, Giuseppe De Giacomo, Mikhail Soutchanski:
Hybrid Temporal Situation Calculus. - Suhad Faisal Behadili, Cyrille Bertelle, Loay Edwar George:
Adaptive modeling of urban dynamics during ephemeral event via mobile phone traces. - Suhad Faisal Behadili:
Robot human interface for housekepeer with wireless capabilities. - Suhad Faisal Behadili, Cyrille Bertelle, Loay Edwar George:
Human Mobility Patterns Modelling using CDRs. - Konstantinos Zampogiannis, Kanishka Ganguly, Cornelia Fermüller, Yiannis Aloimonos:
Extracting Contact and Motion from Manipulation Videos. - Akond Rahman, Rezvan Mahdavi-Hezaveh, Laurie A. Williams:
Where Are The Gaps? A Systematic Mapping Study of Infrastructure as Code Research. - Christoforos Somarakis, Yaser Ghaedsharaf, Nader Motee:
Analysis of Consensus Networks Driven by Symmetric-Alpha-Stable Motion (Extended Version). - Zheng Zhang, Yang Li, Jinwei Ren, Jianke Zhu:
Effective Occlusion Handling for Fast Correlation Filter-based Trackers. - Diego Ihara Centurion, Neshat Mohammadi, Anastasios Sidiropoulos:
Algorithms for metric learning via contrastive embeddings. - Varun N. Shenoy, Oliver O. Aalami:
Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition. - Lilian Kawakami Carvalho, Yi-Chin Wu, Raymond H. Kwong, Stéphane Lafortune:
Detection and Mitigation of Classes of Attacks in Supervisory Control Systems. - Junjie Huang, Wei Zou, Jiagang Zhu, Zheng Zhu:
Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes. - Fan Wei, Yuan Li, Lior Shamir:
Computer Analysis of Architecture Using Automatic Image Understanding. - Joshua Peter Ebenezer, Jagath C. Rajapakse:
Automatic segmentation of skin lesions using deep learning. - Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. - Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai:
Analysis Dictionary Learning based Classification: Structure for Robustness. - Ran Ben-Basat, Ken-ichi Kawarabayashi, Gregory Schwartzman:
Parameterized Distributed Algorithms. - Yangyu Hu, Haoyu Wang, Yajin Zhou, Yao Guo, Li Li, Bingxuan Luo, Fangren Xu:
Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications. - Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer:
Ultra-Fine Entity Typing. - Chen Luo, Anshumali Shrivastava:
Want to bring a community together? Create more sub-communities. - Francisco Silva, Mikel Sanz, João Seixas, Enrique Solano, Yasser Omar:
Perceptrons from Memristors. - Sanjit Bhowmick, Satya Bagchi, Ramakrishna Bandi:
Self-dual cyclic codes over M2(ℤ4). - Abdullah Nazib, James Galloway, Clinton Fookes, Dimitri Perrin:
Performance of Image Registration Tools on High-Resolution 3D Brain Images. - Rafael Valle, Wilson Cai, Anish Doshi:
TequilaGAN: How to easily identify GAN samples. - Nikhil Balaji, Stefan Kiefer, Petr Novotný, Guillermo A. Pérez, Mahsa Shirmohammadi:
On the Complexity of Iterative Tropical Computation with Applications to Markov Decision Processes. - Suhas Ranganath:
Leveraging Catalog Knowledge Graphs for Query Attribute Identification in E-Commerce Sites. - Ivona Bezáková, Andreas Galanis, Leslie Ann Goldberg, Daniel Stefankovic:
The complexity of approximating the matching polynomial in the complex plane. - Jin Wu
Convexity Analysis of Optimization Framework of Attitude Determination from Vector Observations. - Navin Goyal, Abhishek Shetty:
Non-Gaussian Component Analysis using Entropy Methods. - Ethan Buchman, Jae Kwon, Zarko Milosevic:
The latest gossip on BFT consensus. - Soh Kumabe, Takanori Maehara, Ryoma Sin'ya:
Linear Pseudo-Polynomial Factor Algorithm for Automaton Constrained Tree Knapsack Problem. - Zainalabedin Samadi, Vahid Tabataba Vakili, Farzan Haddadi:
Strong Interference Alignment. - Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener:
Deep Learning in the Wild. - Lige Zhang, Xiaolin Qin, Qing Li, Haoyue Peng, Yu Hou:
Single Bitmap Block Truncation Coding of Color Images Using Hill Climbing Algorithm. - Raquel Andrade Barros Ouriques, Krzysztof Wnuk, Tony Gorschek, Richard Berntsson-Svensson:
Knowledge Management Strategies and Processes in Agile Software Development: A Systematic Literature Review. - Tasuku Soma:
No-regret algorithms for online k-submodular maximization. - Ricardo Antunes, Mani Poshdar:
Envision of an integrated information system for project-driven production in construction. - Sangwook Park, Seongkyu Mun, Younglo Lee, David K. Han, Hanseok Ko:
Analysis Acoustic Features for Acoustic Scene Classification and Score fusion of multi-classification systems applied to DCASE 2016 challenge. - Tasuku Soma, Yuichi Yoshida:
Spectral Sparsification of Hypergraphs. - Sara Beery, Grant Van Horn, Pietro Perona:
Recognition in Terra Incognita. - Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy:
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition. - Julian M. Kunkel, Eugen Betke, Matt Bryson, Philip H. Carns, Rosemary Francis, Wolfgang Frings, Roland Laifer, Sandra Méndez:
Tools for Analyzing Parallel I/O. - Zeyang Lei, Yujiu Yang, Min Yang, Yi Liu:
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification. - Dejan Lavbic, Iztok Lajovic, Marjan Krisper:
Facilitating information system development with Panoramic view on data. - N. Asokan, Thomas Nyman, Norrathep Rattanavipanon, Ahmad-Reza Sadeghi, Gene Tsudik:
ASSURED: Architecture for Secure Software Update of Realistic Embedded Devices. - Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Computing recommendations via a Knowledge Graph-aware Autoencoder. - Kitti Gelle, Szabolcs Iván:
Maintaning maximal matching with lookahead. - Christophe Cerisara, Somayeh Jafaritazehjani, Adedayo Oluokun, Hoa T. Le:
Multi-task dialog act and sentiment recognition on Mastodon. - Mark Braverman, Klim Efremenko, Ran Gelles, Michael A. Yitayew:
Optimal Short-Circuit Resilient Formulas. - Vít Skvára
Are generative deep models for novelty detection truly better? - Oscar Luis Vera-Pérez, Benjamin Danglot, Martin Monperrus, Benoit Baudry:
A Comprehensive Study of Pseudo-tested Methods. - Chris Cundy, Daniel Filan:
Exploring Hierarchy-Aware Inverse Reinforcement Learning. - Elias N. Zois, Dimitrios Tsourounis, Ilias Theodorakopoulos, Anastasios L. Kesidis, George Economou:
A comprehensive study of sparse representation techniques for offline signature verification. - Michael T. Schaub, Austin R. Benson, Paul Horn, Gabor Lippner, Ali Jadbabaie:
Random Walks on Simplicial Complexes and the normalized Hodge Laplacian. - Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis:
CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. - Jeffrey Cheng:
AI Reasoning Systems: PAC and Applied Methods. - Mischa Schmidt, Anett Schülke, Alberto Venturi, Roman Kurpatov, Enrique Blanco Henriquez:
Cyber-Physical System for Energy-Efficient Stadium Operation: Methodology and Experimental Validation. - Akshay Raman:
Routing and Forwarding in nTorrent using ndnSIM. - Juan I. Mulero, Javier Molina-Vilaplana:
Quantum Pontryagin Principle under Continuous Measurements and Feedback. - Armin Küper, Robert Dürr, Steffen Waldherr:
Dynamic Density Estimation in Heterogeneous Cell Populations. - Jesse Beisegel:
Characterising AT-free Graphs with BFS. - Xingyu Liao, Lingxiao He, Zhouwang Yang:
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention. - Tsendsuren Munkhdalai, Adam Trischler:
Metalearning with Hebbian Fast Weights. - Thomas Bonald, Bertrand Charpentier:
Learning Graph Representations by Dendrograms. - Arthur Azevedo de Amorim, Marco Gaboardi, Justin Hsu, Shin-ya Katsumata:
Metric Semantics for Probabilistic Relational Reasoning. - Paul Muntean, Martin Monperrus, Hao Sun, Jens Grossklags, Claudia Eckert:
IntRepair: Informed Fixing of Integer Overflows. - Francis Bloch, Matthew Olckers:
Friend-based Ranking. - Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu:
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. - Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Johannes Rauh:
Unique Informations and Deficiencies. - Susanne Albers, Jens Quedenfeld:
Optimal Algorithms for Right-Sizing Data Centers - Extended Version. - Lutz Bornmann, Julian N. Marewski:
Heuristics as conceptual lens for understanding and studying the usage of bibliometrics in research evaluation. - Monica Hernandez:
Newton-Krylov PDE-constrained LDDMM in the space of band-limited vector fields. - Richard Liaw, Eric Liang, Robert Nishihara, Philipp Moritz, Joseph E. Gonzalez, Ion Stoica:
Tune: A Research Platform for Distributed Model Selection and Training. - Yifang Xu, Tianli Liao, Jing Chen:
Learning-based Natural Geometric Matching with Homography Prior. - Morteza Alimi, Amir Daneshgar, Mohammad-Hadi Foroughmand-Araabi:
An O(log1.5n log log n) Approximation Algorithm for Mean Isoperimetry and Robust k-means. - Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, Andrew McCallum:
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. - Melika Payvand, Manu V. Nair, Lorenz K. Müller, Giacomo Indiveri:
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation. - Jelani Nelson, Huacheng Yu:
Optimal Lower Bounds for Distributed and Streaming Spanning Forest Computation. - Reginald Frank, Jennifer L. Welch:
A Tight Lower Bound for Clock Synchronization in Odd-Ary M-Toroids. - Yixin Luo, Saugata Ghose, Yu Cai, Erich F. Haratsch, Onur Mutlu:
Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation. - Chao Shang, Fengqi You:
A data-driven robust optimization approach to scenario-based stochastic model predictive control. - Maël Le Treust, Tristan Tomala:
Information-Theoretic Limits of Strategic Communication. - Gregor Wiedemann, Seid Muhie Yimam, Chris Biemann:
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism. - Hongwei Li, Jianguo Zhang, Mark Mühlau, Jan Kirschke, Bjoern H. Menze:
Multi-Scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation. - Hongxiao Bai, Hai Zhao:
Deep Enhanced Representation for Implicit Discourse Relation Recognition. - Brendan Shillingford, Yannis M. Assael, Matthew W. Hoffman, Thomas Paine, Cían Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Ben Coppin, Ben Laurie, Andrew W. Senior, Nando de Freitas:
Large-Scale Visual Speech Recognition. - Rohit Gurjar, Nisheeth K. Vishnoi:
On the Number of Circuits in Regular Matroids (with Connections to Lattices and Codes). - Maksims Dimitrijevs, Abuzer Yakaryilmaz:
Postselecting probabilistic finite state recognizers and verifiers. - Clément Maria, Hannah Schreiber:
Discrete Morse Theory for Computing Zigzag Persistence. - Emmanuel Gunther, Miguel Pagano, Pedro Sánchez Terraf:
First steps towards a formalization of Forcing. - Joshua Brakensiek, Venkatesan Guruswami:
An Algorithmic Blend of LPs and Ring Equations for Promise CSPs. - Daniel Grießhaber, Ngoc Thang Vu, Johannes Maucher:
Low-Resource Text Classification using Domain-Adversarial Learning. - Lars Kunze, Nick Hawes, Tom Duckett, Marc Hanheide, Tomás Krajník:
Artificial Intelligence for Long-Term Robot Autonomy: A Survey. - Abdulkareem Alsudais:
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations. - Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford:
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. - Niels Karowski, Konstantin Miller, Adam Wolisz:
Greedy Multi-Channel Neighbor Discovery. - Ferdinando Cicalese, Eduardo Sany Laber:
Approximation Algorithms for Clustering via Weighted Impurity Measures. - Ramakrishnan Durairajan, Paul Barford, Joel Sommers, Walter Willinger:
GreyFiber: A System for Providing Flexible Access to Wide-Area Connectivity. - John E. Dorband:
Extending the D-Wave with support for Higher Precision Coefficients. - Daniel Moreira, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer
Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-driven Verification. - Christoph Studer, Saïd Medjkouh, Emre Gönültas, Tom Goldstein, Olav Tirkkonen:
Channel Charting: Locating Users within the Radio Environment using Channel State Information. - Adam Czajka, Daniel Moreira, Kevin W. Bowyer
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition. - Andreas Dedner, Martin Nolte:
The Dune Python Module. - Yeshwanth D. Gunasekaran, Abolfazl Asudeh, Sona Hasani, Nan Zhang, Ali Jaoua, Gautam Das:
QR2: A Third-party Query Reranking Service Over Web Databases. - Brandon Wagstaff, Jonathan Kelly:
LSTM-Based Zero-Velocity Detection for Robust Inertial Navigation. - Krzysztof R. Apt, Davide Grossi, Wiebe van der Hoek:
When Are Two Gossips the Same? Types of Communication in Epistemic Gossip Protocols. - Bahram Lavi, Mehdi Fatan Serj, Ihsan Ullah:
Survey on Deep Learning Techniques for Person Re-Identification Task. - Karime Pereida, Dave Kooijman, Rikky R. P. R. Duivenvoorden, Angela P. Schoellig:
Transfer Learning for High-Precision Trajectory Tracking Through L1 Adaptive Feedback and Iterative Learning. - Karime Pereida, Angela P. Schoellig:
Adaptive Model Predictive Control for High-Accuracy Trajectory Tracking in Changing Conditions. - Soufiane Belharbi:
Neural Networks Regularization Through Representation Learning. - Ashish Goel, Reyna Hulett, Benjamin Plaut:
Markets Beyond Nash Welfare for Leontief Utilities. - Artur Elezi, Tony Shaska:
Weight distributions, zeta functions and Riemann hypothesis for linear and algebraic geometry codes. - He Zhong, Hui Liu, Lihua Shen, Bo Yang, Ruijian He, Zhangxin Chen:
Numerical Simulations of Polymer Flooding Process in Porous Media on Distributed-memory Parallel Computers. - Chong Huang, Peter Kairouz, Xiao Chen, Lalitha Sankar, Ram Rajagopal:
Generative Adversarial Privacy. - Jon M. Kleinberg, Manish Raghavan:
How Do Classifiers Induce Agents To Invest Effort Strategically? - Jeremy Kepner, Ron Brightwell, Alan Edelman, Vijay Gadepally, Hayden Jananthan, Michael Jones, Sam Madden, Peter Michaleas, Hamed Okhravi, Kevin T. Pedretti, Albert Reuther, Thomas L. Sterling, Mike Stonebraker:
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines. - Ali Shafahi, Zhongxiang Wang, Ali Haghani:
A matching-based heuristic algorithm for school bus routing problems. - Matilde Marcolli:
Gamma Spaces and Information. - Daniel H. Noronha, Bahar Salehpour, Steven J. E. Wilton:
LeFlow: Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks. - Rémy Belmonte, Eun Jung Kim, Michael Lampis, Valia Mitsou, Yota Otachi, Florian Sikora:
Token Sliding on Split Graphs. - Bichuan Guo, Xinyao Chen, Jiawen Gu, Yuxing Han, Jiangtao Wen:
A Bayesian Approach to Block Structure Inference in AV1-based Multi-rate Video Encoding. - Heng Ding, Krisztian Balog:
Generating Synthetic Data for Neural Keyword-to-Question Models. - Bin Cheng, Zhongkui Li:
Fully Distributed Event-Triggered Protocols for Linear Multi-Agent Networks. - Maria Glenski, Tim Weninger, Svitlana Volkova:
How Humans versus Bots React to Deceptive and Trusted News Sources: A Case Study of Active Users. - Jie Liu, Yu Rong, Martin Takác, Junzhou Huang:
On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches. - Hyungjoon Kim, Hyeonwoo Kim, Eenjun Hwang:
Real-Time Shape Tracking of Facial Landmarks. - Tianping Chen:
Another Approach to Consensus of Multi-agents. - Giovanni Bellettini, Alessandro Betti, Marco Gori:
Generalization in quasi-periodic environments. - Hiroshi Hirai, Ryunosuke Oshiro, Ken'ichiro Tanaka:
Counting Integral Points in Polytopes via Numerical Analysis of Contour Integration. - Gustavo Correa Publio, Diego Esteves, Agnieszka Lawrynowicz, Pance Panov, Larisa N. Soldatova, Tommaso Soru, Joaquin Vanschoren, Hamid Zafar:
ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies. - Ibraheem Kasim Ibraheem, Fatin Hassan Ajeil:
Path Planning of an Autonomous Mobile Robot in a Dynamic Environment using Modified Bat Swarm Optimization. - Raj Dabre, Atsushi Fujita:
Recurrent Stacking of Layers for Compact Neural Machine Translation Models. - Sagar Uprety, Dawei Song:
Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs. - Lei Wang, Xiaodong Wang:
A Simple and Space Efficient Segment Tree Implementation. - Zhihao Jia, Matei Zaharia, Alex Aiken:
Beyond Data and Model Parallelism for Deep Neural Networks. - Shou-Yao Roy Tseng, Hwann-Tzong Chen, Shao-Heng Tai, Tyng-Luh Liu:
Non-local RoIs for Instance Segmentation. - Bichuan Guo, Yuxing Han, Jiangtao Wen:
Convex Optimization Based Bit Allocation for Light Field Compression under Weighting and Consistency Constraints. - Bichuan Guo, Yuxing Han, Jiangtao Wen:
Fast Block Structure Determination in AV1-based Multiple Resolutions Video Encoding. - Yuan Zheng, Suzhi Bi, Xiaohui Lin:
Backscatter-assisted Relaying in Wireless Powered Communications Network. - Sebastian Brandt, Manuela Fischer, Jara Uitto:
Matching and MIS for Uniformly Sparse Graphs in the Low-Memory MPC Model. - José A. R. Fonollosa:
SAT encodings for sorting networks, single-exception sorting networks and ε-halvers. - Masoud Abdi, Ehsan Abbasnejad, Chee Peng Lim, Saeid Nahavandi:
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space. - Vasilios Mavroudis, Michael Veale:
Eavesdropping Whilst You're Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces. - Alejandro Díaz-Caro, Marcos Villagra:
Classically Time-Controlled Quantum Automata. - Manuel J. Marín-Jiménez, Francisco José Romero-Ramírez, Rafael Muñoz-Salinas, Rafael Medina Carnicer:
3D human pose estimation from depth maps using a deep combination of poses. - Stefano Dafarra, Gabriele Nava, Marie Charbonneau, Nuno Guedelha
A Control Architecture with Online Predictive Planning for Position and Torque Controlled Walking of Humanoid Robots. - Gabriel Istrate:
Stochastic Stability in Schelling's Segregation Model with Markovian Asynchronous Update. - Wenhao Ding, Shuaijun Li, Huihuan Qian:
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation. - Israela Solomon, Dan Halperin:
Motion Planning for Multiple Unit-Ball Robots in ℝd. - Duc A. Tran, Quynh Vo:
A Geo-Aware Server Assignment Problem for Mobile Edge Computing. - Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-Or, Ron Kimmel, Matthias Zwicker:
Specular-to-Diffuse Translation for Multi-View Reconstruction. - Tobias Strauch:
Deriving AOC C-Models from D&V Languages for Single- or Multi-Threaded Execution Using C or C++. - Zachary Friggstad, Kamyar Khodamoradi, Mohammad R. Salavatipour:
Exact Algorithms and Lower Bounds for Stable Instances of Euclidean k-Means. - Tobias Strauch:
Timing Driven C-Slow Retiming on RTL for MultiCores on FPGAs. - Ming-Yao Wang, Alexandros A. Kogkas, Ara Darzi, George P. Mylonas:
Free-View, 3D Gaze-Guided, Assistive Robotic System for Activities of Daily Living. - Sakshi Mishra, Praveen Palanisamy:
Multi-time-horizon Solar Forecasting Using Recurrent Neural Network. - Andreas C. Bueff, Stefanie Speichert, Vaishak Belle:
Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks. - Sean Ballentine, Alexander Barg, Serge G. Vladut:
Codes with hierarchical locality from covering maps of curves. - Nima Anari, Rad Niazadeh, Amin Saberi, Ali Shameli:
Nearly Optimal Pricing Algorithms for Production Constrained and Laminar Bayesian Selection. - Bo Fu, Xiao-Yang Zhao, Yong-Gong Ren, Ximing Li, Xiang-Hai Wang:
A salt and pepper noise image denoising method based on the generative classification. - Zhongliu Xie, Duncan Gillies:
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network. - Thomas W. Mitchel, Sipu Ruan, Yixin Gao, Gregory S. Chirikjian:
The Globally Optimal Reparameterization Algorithm: an Alternative to Fast Dynamic Time Warping for Action Recognition in Video Sequences. - Shiming Chen, Yisong Wang, Chin-Teng Lin
Semi-Supervised Feature Learning for Off-Line Writer Identifications. - Manik Goyal, Jagath C. Rajapakse:
Deep neural network ensemble by data augmentation and bagging for skin lesion classification. - Ziyan Gao, Yong Wang, Yifan Gao, Xingtian Ren:
Multi-objective Non-cooperative Game Model for Cost-based Task Scheduling in Computational Grid. - Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, Xindong Wu:
Object Detection with Deep Learning: A Review. - Haris Aziz, Edward Lee:
The Temporary Exchange Problem. - Shuai Jiang, Kan Li, Richard Yi Da Xu:
Magnitude Bounded Matrix Factorisation for Recommender Systems. - Özlem Salehi, Ahmet Celal Cem Say:
Extended finite automata and decision problems for matrix semigroups. - Michele Lombardi, Michela Milano:
Boosting Combinatorial Problem Modeling with Machine Learning. - Jacob Krantz, Maxwell Dulin, Paul De Palma, Mark VanDam:
Syllabification by Phone Categorization. - Yukun Ma, Erik Cambria:
Concept-Based Embeddings for Natural Language Processing. - Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs Douze:
Deep Clustering for Unsupervised Learning of Visual Features. - Dheryta Jaisinghani, Vinayak Naik, Sanjit K. Kaul, Rajesh Balan, Sumit Roy:
Improving the Performance of WLANs by Reducing Unnecessary Active Scans. - Youngwook Ko:
A Tight Upper Bound on Bit Error Rate of Joint OFDM and Multi-Carrier Index Keying. - Stefanie Speichert, Vaishak Belle:
Learning Probabilistic Logic Programs in Continuous Domains. - Niv Buchbinder, Moran Feldman, Mohit Garg:
Online Submodular Maximization: Beating 1/2 Made Simple. - Niv Buchbinder, Moran Feldman, Mohit Garg:
Deterministic (1/2 + ε)-Approximation for Submodular Maximization over a Matroid. - Yaping Sun, Zhiyong Chen, Meixia Tao, Hui Liu:
Modeling and Trade-off for Mobile Communication, Computing and Caching Networks. - Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong:
A Survey on Expert Recommendation in Community Question Answering. - Arman Ahmadian, Hyuncheol Park:
Maximizing Ergodic Throughput in Wireless Powered Communication Networks. - Fan Wei, Yongpeng Wu, Wen Chen, Wei Yang, Giuseppe Caire:
On the Fundamental Limits of MIMO Massive Multiple Access Channels. - János Balogh, József Békési, György Dósa, Leah Epstein, Asaf Levin:
A new lower bound for classic online bin packing. - Paola Quaglia:
Briefly on Bottom-up. - Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. - Aravind Sesagiri Raamkumar, Mojisola Erdt, Harsha Vijayakumar, Edie Rasmussen, Yin-Leng Theng:
Understanding the Twitter Usage of Humanities and Social Sciences Academic Journals. - Vuong M. Ngo, Tru Hoang Cao, Tuan M. V. Le:
WordNet-Based Information Retrieval Using Common Hypernyms and Combined Features. - Tru Hoang Cao, Vuong M. Ngo:
Semantic Search by Latent Ontological Features. - Vuong M. Ngo, Tru Hoang Cao:
Discovering Latent Concepts and Exploiting Ontological Features for Semantic Text Search. - Vuong M. Ngo, Tru Hoang Cao:
Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search. - Song-Kyoo Kim:
The Trailer of Blockchain Governance Game. - Rodrigo Rebouças de Almeida, Uirá Kulesza, Christoph Treude, D'angellys Cavalcanti Feitosa, Aliandro Higino Guedes Lima:
Aligning Technical Debt Prioritization with Business Objectives: A Multiple-Case Study. - Bernard Vau, Henri Bourlès:
Pseudo-linear regression identification based on generalized orthonormal transfer functions: Convergence conditions and bias distribution. - Francisco Gomes de Oliveira Neto, Robert Feldt, Linda Erlenhov, José Benardi de Souza Nunes:
Visualizing test diversity to support test optimisation. - Sander G. van Dijk, Marcus M. Scheunemann
Deep Learning for Semantic Segmentation on Minimal Hardware. - Amin Azari, Guowang Miao, Cedomir Stefanovic, Petar Popovski:
Latency-Energy Tradeoff based on Channel Scheduling and Repetitions in NB-IoT Systems. - Bart Jacobs:
A Mathematical Account of Soft Evidence, and of Jeffrey's 'destructive' versus Pearl's 'constructive' updating. - Martin Aumüller, Erik Bernhardsson, Alexander John Faithfull:
ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms. - Rodolfo Quispe, Hélio Pedrini:
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models. - Estefania Recayte, Francisco Lázaro, Gianluigi Liva:
Caching at the Edge with Fountain Codes. - Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana:
NEUZZ: Efficient Fuzzing with Neural Program Learning. - Andrea Clementi, Luciano Gualà, Emanuele Natale, Francesco Pasquale, Giacomo Scornavacca, Luca Trevisan:
Consensus Needs Broadcast in Noiseless Models but can be Exponentially Easier in the Presence of Noise. - Hamed Zamani, W. Bruce Croft:
Joint Modeling and Optimization of Search and Recommendation. - Aravindh Mahendran, James Thewlis, Andrea Vedaldi:
Cross Pixel Optical Flow Similarity for Self-Supervised Learning. - Kanstantsin Pashkovich, Laurent Poirrier:
Three-dimensional Stable Matching with Cyclic Preferences. - Willow Ahrens
LATE Ain'T Earley: A Faster Parallel Earley Parser. - Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. - Amir Asiaee T., Hardik Goel, Shalini Ghosh, Vinod Yegneswaran, Arindam Banerjee:
Time Series Deinterleaving of DNS Traffic. - Hao Wu, Hsu-Chun Hsiao, Daniele Enrico Asoni, Simon Scherrer, Adrian Perrig, Yih-Chun Hu:
CLEF: Limiting the Damage Caused by Large Flows in the Internet Core (Technical Report). - Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen, Tian Fang, Long Quan:
Learning and Matching Multi-View Descriptors for Registration of Point Clouds. - Zihan Tang, Jun Wang, Jintao Wang, Jian Song:
A High-Accuracy Adaptive Beam Training Algorithm for MmWave Communication. - Ali Bibak, Charles Carlson, Karthekeyan Chandrasekaran:
Improving the smoothed complexity of FLIP for max cut problems. - Ruiguo Yu, Zhiqiang Liu, Xuewei Li, Wenhuan Lu, Mei Yu, Jianrong Wang, Bin Li:
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space. - Arman Ahmadian, Hyuncheol Park:
Wireless Powered Communication Networks: TDD or FDD? - Sayaka Kamei, Hirotsugu Kakugawa:
An asynchronous message-passing distributed algorithm for the global critical section problem. - Mic Bowman, Andrea Miele, Michael Steiner, Bruno Vavala:
Private Data Objects: an Overview. - Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang:
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification. - Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Teaching machines to understand data science code by semantic enrichment of dataflow graphs. - Dun Liang, Yuanchen Guo, Shao-Kui Zhang, Song-Hai Zhang, Peter M. Hall, Min Zhang, Shi-Min Hu:
LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments. - Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha:
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. - Thanuja Dharmasiri, Andrew Spek, Tom Drummond:
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs. - Suhita Ray:
Disease Classification within Dermascopic Images Using features extracted by ResNet50 and classification through Deep Forest. - Xin-Yi Tong, Gui-Song Xia, Qikai Lu, Huanfeng Shen, Shengyang Li, Shucheng You, Liangpei Zhang:
Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images. - Francesco Bortolussi, Zeger Hoogeboom, Frank W. Takes:
Computing Minimum Weight Cycles to Leverage Mispricings in Cryptocurrency Market Networks. - Yuxuan Sun, Jinhui Song, Sheng Zhou, Xueying Guo, Zhisheng Niu:
Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach. - Araz Taeihagh, Hazel Si Min Lim:
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks. - Hatem Hajri, Emmanuel Doucet, Marc Revilloud, Lynda Halit, Benoît Lusetti, Mohamed-Cherif Rahal:
Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques. - Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang:
Backward Reduction of CNN Models with Information Flow Analysis. - Clovis Anicet Ouedraogo, Samir Medjiah, Christophe Chassot, Khalil Drira:
Enhancing Middleware-based IoT Applications through Run-Time Pluggable QoS Management Mechanisms. Application to a oneM2M compliant IoT Middleware. - Yifan Chen, Maarten de Rijke:
A Collective Variational Autoencoder for Top-N Recommendation with Side Information. - Yassine Banouar, Clovis Anicet Ouedraogo, Christophe Chassot, Abdellah Zyane:
QoS management mechanisms for Enhanced Living Environments in IoT. - Sofiane Abbar, Tahar Zanouda, Noora Al Emadi, Rachida Zegour:
City of the People, for the People: Sensing Urban Dynamics via Social Media Interactions. - Meredydd Williams, Jason R. C. Nurse:
Optional Data Disclosure and the Online Privacy Paradox: A UK Perspective. - Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang:
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation. - Jinhong Liu, Lin Zhou, Marta Molinas:
Impact of Digital Time Delay on the Stable Grid Hosting Capacity of Large-scale Centralized Photovoltaic Plant. - Meredydd Williams, Louise Axon, Jason R. C. Nurse, Sadie Creese:
Future Scenarios and Challenges for Security and Privacy. - Meredydd Williams, Jason R. C. Nurse, Sadie Creese:
The Perfect Storm: The Privacy Paradox and the Internet-of-Things. - Meredydd Williams, Jason R. C. Nurse, Sadie Creese:
Privacy Salience: Taxonomies and Research Opportunities. - Meredydd Williams, Kelvin K. K. Yao, Jason R. C. Nurse:
ToARist: An Augmented Reality Tourism App created through User-Centred Design. - Meredydd Williams, Jason R. C. Nurse, Sadie Creese:
"Privacy is the Boring Bit": User Perceptions and Behaviour in the Internet-of-Things. - Michiel Van Beirendonck, Pascal Giard, Alexios Balatsoukas-Stimming:
A Lyra2 FPGA Implementation for Lyra2REv2-Based Cryptocurrencies. - Rumaisah Munir, Rizwan Ahmed Khan
An Extensive Review on Spectral Imaging in Biometric Systems: Challenges and Advancements. - Peter Chini, Rehab Massoud, Roland Meyer, Prakash Saivasan:
Fast Witness Counting. - Xue Lyu, Youwei Jia, Zhao Xu, Jacob Østergaard:
Mileage-responsive Wind Power Smoothing. - (Withdrawn) Determining the Optimal Random-padding Size for Rabin Cryptosystems.
- Vladimir V. Arlazarov, Konstantin B. Bulatov, Timofey S. Chernov:
MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream. - Alesia A. Zuccala, Nicolás Robinson-García:
Reviewing, indicating, and counting books for modern research evaluation systems. - Pilar León Araúz, Antonio San Martín, Arianne Reimerink:
The EcoLexicon English Corpus as an open corpus in Sketch Engine. - Jimmy Lin, Peilin Yang:
Repeatability Corner Cases in Document Ranking: The Impact of Score Ties. - Xinxing Su, Yingtian Zou, Yu Cheng, Shuangjie Xu, Mo Yu, Pan Zhou:
Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification. - Takashi Matsubara, Ryosuke Tachibana, Kuniaki Uehara:
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score. - Amir Abboud, Loukas Georgiadis, Daniel Graf, Giuseppe F. Italiano, Robert Krauthgamer, Nikos Parotsidis, Ohad Trabelsi, Przemyslaw Uznanski:
Faster Algorithms for All-Pairs Bounded Min-Cuts. - Ageliki Tsioliaridou, Christos Liaskos, Sotiris Ioannidis:
BitSurfing: Wireless Communications with Outsourced Symbol Generation. - Derrik E. Asher, Erin G. Zaroukian, Sean L. Barton:
Adapting the Predator-Prey Game Theoretic Environment to Army Tactical Edge Scenarios with Computational Multiagent Systems. - Dan Stowell, Yannis Stylianou, Mike Wood, Hanna Pamula, Hervé Glotin:
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge. - A. Madhavaraj, T. V. Ananthapadmanabha, A. G. Ramakrishnan:
Subjective and objective experiments on the influence of speaker's gender on the unvoiced segments. - Jaroslaw Pykacz, Pawel Bytner, Piotr Frackiewicz:
Example of a finite game with no Berge equilibria at all. - Camelia-Mihaela Pintea, Andreea Camelia Tripon, Anca Avram, Gloria Cerasela Crisan:
Multi-agents features on Android platforms. - Guido Novati, Petros Koumoutsakos:
Remember and Forget for Experience Replay. - Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu:
Manifold Adversarial Learning. - Ranju Mandal, Rod M. Connolly, Thomas A. Schlacher, Bela Stantic:
Assessing fish abundance from underwater video using deep neural networks. - Guanhua Wang, Sudipta Chattopadhyay, Ivan Gotovchits, Tulika Mitra, Abhik Roychoudhury:
oo7: Low-overhead Defense against Spectre Attacks via Binary Analysis. - Andrei Snarskii, Dmytro Lande, Dmytro Manko:
K-method of calculating the mutual influence of nodes in a directed weight complex networks. - Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Dictionary Knowledge. - Mohamed Reda Bouadjenek
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. - Jacob Shermeyer:
Assessment of electrical and infrastructure recovery in Puerto Rico following hurricane Maria using a multisource time series of satellite imagery. - Hosung Park, Donghyun Lee, Minkyu Lim, Yoseb Kang, Juneseok Oh, Ji-Hwan Kim:
A Fast-Converged Acoustic Modeling for Korean Speech Recognition: A Preliminary Study on Time Delay Neural Network. - Li Zhou, Jian Zhao, Jianshu Li, Li Yuan, Jiashi Feng:
Object Relation Detection Based on One-shot Learning. - Andreu Vall, Gerhard Widmer:
Machine Learning Approaches to Hybrid Music Recommender Systems. - Leon Sering, Laura Vargas Koch:
Nash Flows over Time with Spillback. - Liesbet Van der Perre, Liang Liu, Erik G. Larsson:
Efficient DSP and Circuit Architectures for Massive MIMO: State-of-the-Art and Future Directions. - Guiliang Liu, Oliver Schulte, Wang Zhu
Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. - Nalin Chhibber, Rohail Syed, Mengqiu Teng, Joslin Goh, Kevyn Collins-Thompson, Edith Law:
Human Perception of Surprise: A User Study. - Andrej Bauer:
What is algebraic about algebraic effects and handlers? - Arun Kumar, Navneet Paul, S. N. Omkar:
Bipedal Walking Robot using Deep Deterministic Policy Gradient. - Ram Krishna Pandey, Samarjit Karmakar, A. G. Ramakrishnan:
Computationally Efficient Approaches for Image Style Transfer. - Paul Gay, Stuart James
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning. - Anton Nemchenko, Trent Kyono, Mihaela van der Schaar:
Siamese Survival Analysis with Competing Risks. - Jianlin Su:
Variational Inference: A Unified Framework of Generative Models and Some Revelations. - Dennis G. Wilson, Kyle Ira Harrington, Sylvain Cussat-Blanc, Hervé Luga:
Evolving Differentiable Gene Regulatory Networks. - Mayank Meghawat, Satyendra Yadav, Debanjan Mahata, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
A Multimodal Approach to Predict Social Media Popularity. - Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell:
Meta-Learning with Latent Embedding Optimization. - Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann, John R. Talburt:
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings. - Panagiotis Charalampopoulos, Shay Mozes, Benjamin Tebeka:
Exact Distance Oracles for Planar Graphs with Failing Vertices. - Zhongliu Xie:
Towards Single-phase Single-stage Detection of Pulmonary Nodules in Chest CT Imaging. - Zhenyue Qin, Robert I. McKay, Tom Gedeon:
Why don't the modules dominate - Investigating the Structure of a Well-Known Modularity-Inducing Problem Domain. - Amir Soleimani, Nasser M. Nasrabadi:
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection. - Svitlana Lytvynova, Oksana Melnyk:
Professional Development of Teachers Using Cloud Services During Non-formal Education. - Svitlana Lytvynova, Olga Pinchuk:
The Evolution of Teaching Methods of Students in Electronic Social Networks. - Karim A. Banawan, Sennur Ulukus:
Noisy Private Information Retrieval: On Separability of Channel Coding and Information Retrieval. - Szymon Wasik, Maciej Antczak, Jan Badura, Artur Laskowski:
Evaluation as a Service architecture and crowdsourced problems solving implemented in Optil.io platform. - Jose Berengueres:
Using smartphones for low-cost robotics. - Tolunay Seyfi, Yasemin Karacora, Aly El Gamal:
Fundamental Limits of Dynamic Interference Management with Flexible Message Assignments. - Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui:
An Efficient Technique for Protecting Location Privacy of Cooperative Spectrum Sensing Users. - Christos Liaskos, Ageliki Tsioliaridou, Sotiris Ioannidis:
Towards a Circular Economy via Intelligent Metamaterials. - Kittipitch Kuptavanich:
Using Textual Summaries to Describe a Set of Products. - Yinda Zhang, Sameh Khamis, Christoph Rhemann, Julien P. C. Valentin, Adarsh Kowdle, Vladimir Tankovich, Michael Schoenberg, Shahram Izadi, Thomas A. Funkhouser, Sean Ryan Fanello:
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems. - Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng:
EC-Net: an Edge-aware Point set Consolidation Network. - Svitlana Lytvynova, Oleksandr Burov:
Methods, Forms and Safety of Learning in Corporate Social Networks. - Michael D. Conover, Matthew Hayes, Scott Blackburn, Pete Skomoroch, Sam Shah:
Pangloss: Fast Entity Linking in Noisy Text Environments. - Yuri Chervonyi, Dragos Harabor, Brian Zhang, Josh Sacks:
Zap: Making Predictions Based on Online User Behavior. - François Bry:
In Praise of Impredicativity: A Contribution to the Formalisation of Meta-Programming. - Senja Barthel:
Note on minimal number of skewed unit cells for periodic distance calculation. - Mahdi Azarafrooz, Xuan Zhao, Sepehr Akhavan-Masouleh:
On the Information Theoretic Distance Measures and Bidirectional Helmholtz Machines. - Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki:
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. - Atom Sonoda, Fujio Toriumi, Hiroto Nakajima, Miyabi Gouji:
Analysis and Modeling of Behavioral Changes in a News Service. - Aaron J. Havens, Zhanhong Jiang, Soumik Sarkar:
Online Robust Policy Learning in the Presence of Unknown Adversaries. - Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang:
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. - Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang:
Slice Finder: Automated Data Slicing for Model Validation. - Sudhakar Singh, Rakhi Garg, P. K. Mishra:
Performance Optimization of MapReduce-based Apriori Algorithm on Hadoop Cluster. - Javier Esparza, Pierre Ganty, Rupak Majumdar, Chana Weil-Kennedy:
Verification of Immediate Observation Population Protocols. - Jungwook Lee, Sean Walsh, Ali Harakeh, Steven L. Waslander:
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation. - Suriyan Laohaprapanon, Kimberly Ortleb, Gaurav Sood:
Street Sense: Learning from Google Street View. - Zahra Shakeri Hossein Abad, Munib Rahman, Abdullah Cheema, Vincenzo Gervasi, Didar Zowghi, Ken Barker:
Dynamic Visual Analytics for Elicitation Meetings with ELICA. - Diego Sempreboni, Luca Viganò:
Privacy, Security and Trust in the Internet of Neurons. - Luca Viganò, Diego Sempreboni:
Gnirut: The Trouble With Being Born Human In An Autonomous World. - Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier:
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation. - Leon Andretti Abdillah, Ifit Novita Sari, Dian Eka Indriani:
Computer science students simulation in capturing tacit knowledge by using NGT for reducing traffic jam. - Yiannis Kanellopoulos:
A Model for Evaluating Algorithmic Systems Accountability. - Mischa Schmidt, Christer Åhlund:
Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency. - Sebastian Baltes, Stephan Diehl:
Towards a Theory of Software Development Expertise. - Michael Schwier, Joost van Griethuysen, Mark G. Vangel, Steve Pieper, Sharon Peled, Clare M. Tempany, Hugo J. W. L. Aerts, Ron Kikinis, Fiona M. Fennessy, Andrey Fedorov:
Repeatability of Multiparametric Prostate MRI Radiomics Features. - Tetsuya Sato, Alejandro Aguirre, Gilles Barthe, Marco Gaboardi, Deepak Garg, Justin Hsu:
Formal verification of higher-order probabilistic programs. - Rong-Jing Bao, Hai-Jun Rong, Zhi-Xin Yang, Badong Chen:
Remaining Useful Life Estimation of Aero-Engines with Self-Joint Prediction of Continuous and Discrete States. - Nils Jansen, Bettina Könighofer, Sebastian Junges, Roderick Bloem:
Shielded Decision-Making in MDPs. - Suhad Faisal Behadili, Cyrille Bertelle, Loay Edwar George:
Human Trajectories Characteristics. - Frank Ban, Vijay Bhattiprolu, Karl Bringmann, Pavel Kolev, Euiwoong Lee, David P. Woodruff:
A PTAS for 𝓁p-Low Rank Approximation. - Angelina Brilliantova, Anton Pletenev, Liliya Doronina, Hadi Hosseini:
An agent-based model of an endangered population of the Arctic fox from Mednyi Island. - Nils Jansen, Laura R. Humphrey, Jana Tumova, Ufuk Topcu:
Structured Synthesis for Probabilistic Systems. - Mansurul Bhuiyan, Amita Misra, Saurabh Tripathy, Jalal Mahmud, Rama Akkiraju:
Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations. - James Pritts, Zuzana Kukelova, Viktor Larsson, Ondrej Chum:
Rectification from Radially-Distorted Scales. - Luis Arreola, Andrés Montes de Oca, Alejandro Flores, J. Sanchez, Gerardo Flores:
Improvement in the UAV position estimation with low-cost GPS, INS and vision-based system: Application to a quadrotor UAV. - Nicholas Watkins, Ifeoma Nwogu:
Computational Social Dynamics: Analyzing the Face-level Interactions in a Group. - Marco Baldi, Alessandro Barenghi, Franco Chiaraluce, Gerardo Pelosi, Joachim Rosenthal, Paolo Santini, Davide Schipani:
Design and Implementation of a Digital Signature Scheme Based on Low-density Generator Matrix Codes. - Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez:
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. - David Baum, Jens Dietrich
Visualizing Design Erosion: How Big Balls of Mud are Made. - Catarina Moreira, Andreas Wichert:
Introducing Quantum-Like Influence Diagrams for Violations of the Sure Thing Principle. - Daniel Riofrio, Anacaren Ruiz, Erin Sosebee, Qasim Raza, Adnan Bashir, Jed Crandall:
Tracking Elections: our experience during the presidential elections in Ecuador. - Daniel Borchmann, Tom Hanika, Sergei Obiedkov:
Probably approximately correct learning of Horn envelopes from queries. - Nishant Nikhil, Ramit Pahwa, Mehul Kumar Nirala, Rohan Khilnani:
LSTMs with Attention for Aggression Detection. - Malik Magdon-Ismail, Lirong Xia:
A Mathematical Model for Optimal Decisions in a Representative Democracy. - Faraz Torabi, Garrett Warnell, Peter Stone:
Generative Adversarial Imitation from Observation. - Zhaojun Lu, Qian Wang, Gang Qu, Zhenglin Liu:
BARS: a Blockchain-based Anonymous Reputation System for Trust Management in VANETs. - Homanga Bharadhwaj:
Layer-wise Relevance Propagation for Explainable Recommendations. - Homanga Bharadhwaj, Shruti Joshi:
Explanations for Temporal Recommendations. - Gautam Kamath, Christos Tzamos:
Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing. - Paul W. Goldberg, Francisco J. Marmolejo Cossío:
Learning Convex Partitions and Computing Game-theoretic Equilibria from Best Response Queries. - Abu Hasnat Mohammad Rubaiyat, Yongming Qin, Homa Alemzadeh:
Experimental Resilience Assessment of An Open-Source Driving Agent. - Seyed Yahya Nikouei, Ronghua Xu, Deeraj Nagothu, Yu Chen, Alexander J. Aved, Erik Blasch:
Real-Time Index Authentication for Event-Oriented Surveillance Video Query using Blockchain. - Milad Doostan, Reza Sohrabi, Badrul H. Chowdhury:
A Data-Driven Approach for Predicting Vegetation-Related Outages in Power Distribution Systems. - Xicheng Yin, Hongwei Wang, Pei Yin:
Agent-based opinion formation modeling in social network: a perspective of social psychology and evolutionary game theory. - Gliner Dias Alencar, Hermano Perrelli de Moura, Ivaldir Honório de Farias Júnior, José Gilson de Almeida Teixeira Filho:
An Adaptable Maturity Strategy for Information Security. - Maria Alejandra Rodriguez, Rajkumar Buyya:
Container-based Cluster Orchestration Systems: A Taxonomy and Future Directions. - Kevin Pratt:
Faster Algorithms via Waring Decompositions. - Christian Tendyck, Andrew W. Haddad, Mireille Boutin:
Photo-unrealistic Image Enhancement for Subject Placement in Outdoor Photography. - Chunxi Liu, Matthew Wiesner, Shinji Watanabe, Craig Harman, Jan Trmal, Najim Dehak, Sanjeev Khudanpur:
Low-Resource Contextual Topic Identification on Speech. - Peng Qiao, Yong Dou, Yunjin Chen, WenSen Feng:
Learning Generic Diffusion Processes for Image Restoration. - M. Salman Asif, Chinmay Hegde:
Phase Retrieval for Signals in Union of Subspaces. - Yao Ming, Huamin Qu, Enrico Bertini:
RuleMatrix: Visualizing and Understanding Classifiers with Rules. - S. I. Khashin, S. E. Vaganov:
Genetic algorithms in Forth. - Jaekyum Kim, Junho Koh, Yecheol Kim, Jaehyung Choi, Youngbae Hwang, Jun Won Choi:
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network. - Kalpesh Krishna, Shubham Toshniwal, Karen Livescu:
Hierarchical Multitask Learning for CTC-based Speech Recognition. - Thierry Dumas, Aline Roumy, Christine Guillemot
Context-adaptive neural network based prediction for image compression. - Mohsen Ghaffari, Jara Uitto:
Sparsifying Distributed Algorithms with Ramifications in Massively Parallel Computation and Centralized Local Computation. - Animesh Prasad, Hervé Déjean, Jean-Luc Meunier, Max Weidemann
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records. - Boitumelo Ruf, Sebastian Monka, Matthias Kollmann, Michael Grinberg:
Real-time on-board obstacle avoidance for UAVs based on embedded stereo vision. - Arijit Bishnu, Arijit Ghosh, Sudeshna Kolay, Gopinath Mishra, Saket Saurabh:
Parameterized Query Complexity of Hitting Set using Stability of Sunflowers. - Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Koenig, Klaus H. Maier-Hein:
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images. - Omar Aloui, David Orden, Landolf Rhode-Barbarigos:
Generation of planar tensegrity structures through cellular multiplication. - Tobias Joppen, Christian Wirth, Johannes Fürnkranz:
Preference-Based Monte Carlo Tree Search. - Yuan Wang, Tianyue Shi, Peng Yun, Lei Tai, Ming Liu:
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud. - Zixin Luo, Tianwei Shen, Lei Zhou, Siyu Zhu, Runze Zhang, Yao Yao, Tian Fang, Long Quan:
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints. - Vito Bellini, Angelo Schiavone, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio:
Knowledge-aware Autoencoders for Explainable Recommender Sytems. - Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori:
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. - Ziqiang Wang, Hegen Xu, Youwen Wan:
Wheeled Robots Path Planing and Tracking System Based on Monocular Visual SLAM. - Roberto Bruni, Hernán C. Melgratti, Ugo Montanari:
Unifying Inference for Bayesian and Petri Nets. - Zhiguo Ding, Jie Xu, Octavia A. Dobre, H. Vincent Poor:
Joint Power and Time Allocation for NOMA-MEC Offloading. - Mrinal Kumar, Ramprasad Saptharishi, Anamay Tengse
Near-optimal Bootstrapping of Hitting Sets for Algebraic Circuits. - Tatsuya Suzuki, Takao Yamanaka:
Saliency Map Estimation for Omni-Directional Image Considering Prior Distributions. - Giuseppe De Giacomo, Luca Iocchi, Marco Favorito, Fabio Patrizi:
Reinforcement Learning for LTLf/LDLf Goals. - Alexander Mühle, Andreas Grüner, Tatiana Gayvoronskaya, Christoph Meinel:
A Survey on Essential Components of a Self-Sovereign Identity. - Jurek Leonhardt, Avishek Anand, Megha Khosla:
User Fairness in Recommender Systems. - Andrew Adamatzky:
On discovering functions in actin filament automata. - Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop, Vimal Chandran, Olivier Scheidegger, Sairam Geethanath, Mauricio Reyes:
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks. - Hiroshi Watanabe:
Can Blockchain Protect Internet-of-Things? - Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, Tieniu Tan:
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis. - Michal Ganczorz:
Using statistical encoding to achieve tree succinctness never seen before. - Ronaldo Ferreira Araujo
The altmetric performance of publications authored by Brazilian researchers: analysis of CNPq productivity scholarship holders. - Sofiane Abbar, Carlos Castillo, Antonio Sanfilippo:
To Post or Not to Post: Using Online Trends to Predict Popularity of Offline Content. - Matthias Dorfer, Florian Henkel, Gerhard Widmer:
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. - Ronald de Haan:
Expressing Linear Orders Requires Exponential-Size DNNFs. - Maxwell I. Nye, Andrew Saxe:
Are Efficient Deep Representations Learnable? - Filippos Kokkinos, Stamatios Lefkimmiatis:
Iterative Residual Network for Deep Joint Image Demosaicking and Denoising. - Mehdi Ben Lazreg, Morten Goodwin:
Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities. - Pierluigi Carcagnì, Andrea Cuna, Cosimo Distante:
A Dense CNN approach for skin lesion classification. - Johnu George, Ramdoot Pydipaty, Xinyuan Huang, Amit Saha, Debo Dutta, Gary Wang, Uma Gangumalla:
Tiered Object Storage using Persistent Memory. - Subhash C. Kak:
On Ternary Coding and Three-Valued Logic. - Golshan Golnari, Zhi-Li Zhang, Daniel Boley:
Avoidance Markov Metrics and Node Pivotality Ranking. - E. M. Badr, B. Mohamed:
Linear Algebra and Number of Spanning Trees. - Christopher Rackauckas, Qing Nie:
Confederated Modular Differential Equation APIs for Accelerated Algorithm Development and Benchmarking. - Sreeja Nair, Marc Shapiro:
Improving the "Correct Eventual Consistency" Tool. - Mohamed S. Abdelfattah, David Han, Andrew Bitar, Roberto DiCecco, Shane O'Connell, Nitika Shanker, Joseph Chu, Ian Prins, Joshua Fender, Andrew C. Ling, Gordon R. Chiu:
DLA: Compiler and FPGA Overlay for Neural Network Inference Acceleration. - Peter Bürgisser, Felipe Cucker, Josué Tonelli-Cueto:
Computing the Homology of Semialgebraic Sets I: Lax Formulas. - Alessandro Betti, Marco Gori:
Trees in the Real Field. - Christoph Steinbrüchel:
hPI: The Citation Index for Principal Investigators. - Karol Gotfryd, Pawel Lorek, Filip Zagórski:
RiffleScrambler - a memory-hard password storing function. - Haoyu Yang, Shuhe Li, Cyrus Tabery, Bingqing Lin, Bei Yu:
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning. - Linda Senigagliesi, Marco Baldi, Stefano Tomasin:
Resource Allocation for Secure Gaussian Parallel Relay Channels with Finite-Length Coding and Discrete Constellations. - Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. - W. Witarto, K. B. Nakshatrala, Y. L. Mo:
Global sensitivity analysis of frequency band gaps in one-dimensional phononic crystals. - Michal Król
SPOC: Secure Payments for Outsourced Computations. - Amin Azari, Cicek Cavdar:
Performance Evaluation and Optimization of LPWA IoT Networks: A Stochastic Geometry Approach. - Hongming Xu, Tae-Hyun Hwang:
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks. - Jiehua Chen, Danny Hermelin, Manuel Sorge:
On Computing Centroids According to the p-Norms of Hamming Distance Vectors. - Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro:
Contextual Memory Trees. - Karel Devriendt, Piet Van Mieghem:
The Simplex Geometry of Graphs. - Chi-Ning Chou, Zhixian Lei, Preetum Nakkiran:
Tracking the 𝓁2 Norm with Constant Update Time. - Weiming Feng, Yahui Liu, Yitong Yin:
Local Rejection Sampling with Soft Filters. - Rafid Mahmood, Aaron Babier, Andrea McNiven, Adam Diamant, Timothy C. Y. Chan:
Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks. - Mark A. Iwen, Felix Krahmer, Sara Krause-Solberg, Johannes Maly:
On Recovery Guarantees for One-Bit Compressed Sensing on Manifolds. - Daewon Seo, Lav R. Varshney:
Information and Energy Transfer with Experimentally-Sampled Harvesting Functions. - Jiyuan Zhang, Dong Wang:
Chinese Poetry Generation with Flexible Styles. - Alexey A. Poyda, Mikhail N. Zhizhin:
Optimization of the n-dimensional sliding window inter-channel correlation algorithm for multi-core architecture. - Manuel Gonzalez-Martin, Miguel Sepulcre, Rafael Molina-Masegosa, Javier Gozálvez:
Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications. - Jongchan Park, Sanghyun Woo, Joon-Young Lee, In So Kweon:
BAM: Bottleneck Attention Module. - Osman Ramadan, Pawel Budzianowski, Milica Gasic:
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing. - Jin-Hee Cho, Sibel Adali:
Is Uncertainty Always Bad?: Effect of Topic Competence on Uncertain Opinions. - Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon:
CBAM: Convolutional Block Attention Module. - Christoph Ertl, Jérôme Frisch, Ralf-Peter Mundani:
Design and optimisation of an efficient HDF5 I/O kernel for massive parallel fluid flow simulations. - Rémi Cresson:
A framework for remote sensing images processing using deep learning technique. - Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre
PIMMS: Permutation Invariant Multi-Modal Segmentation. - Tomohiko Konno, Michiaki Iwazume:
Pseudo-Feature Generation for Imbalanced Data Analysis in Deep Learning. - Tomohiko Konno, Michiaki Iwazume:
Icing on the Cake: An Easy and Quick Post-Learnig Method You Can Try After Deep Learning. - David George
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections. - Minghai Qin, Dejan Vucinic:
Training Recurrent Neural Networks against Noisy Computations during Inference. - Liana Karapetyan, Vahan Mkrtchyan:
On maximum k-edge-colorable subgraphs of bipartite graphs. - Michelle Lam, Catherina Xu, Angela Kong, Vinodkumar Prabhakaran:
Power Networks: A Novel Neural Architecture to Predict Power Relations. - Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado:
Temporally Evolving Community Detection and Prediction in Content-Centric Networks. - Vahan Mkrtchyan, Hovhannes Sargsyan:
A tight lower bound for the hardness of clutters. - Rishabh K. Iyer, John T. Halloran, Kai Wei:
Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization. - YeongHyeon Park
Comparison of RNN Encoder-Decoder Models for Anomaly Detection. - Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy:
Interpretable Latent Spaces for Learning from Demonstration. - Mingming He, Dongdong Chen, Jing Liao, Pedro V. Sander, Lu Yuan:
Deep Exemplar-based Colorization. - Charlie Kingston, Jason R. C. Nurse, Ioannis Agrafiotis, Andrew Milich:
Using semantic clustering to support situation awareness on Twitter: The case of World Views. - Subhayan Mukherjee, Irene Cheng, Steven Miller, Jessie Guo, Vann Chau, Anup Basu:
A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm Infants. - Maximilian Hüttenrauch, Adrian Sosic, Gerhard Neumann:
Deep Reinforcement Learning for Swarm Systems. - Ayonga Hereid, Omar Harib, Ross Hartley, Yukai Gong, Jessy W. Grizzle:
Rapid Bipedal Gait Design Using C-FROST with Illustration on a Cassie-series Robot. - (Withdrawn) SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond.
- Nikita Basov, Wouter de Nooy, Aleksandra Nenko:
Emergent Meaning Structures: A Socio-Semantic Network Analysis of Artistic Collectives. - Yi-Jun Chang, Seth Pettie, Hengjie Zhang:
Distributed Triangle Detection via Expander Decomposition. - Bálint Daróczy, Rita Aleksziev, András A. Benczúr:
Expressive power of outer product manifolds on feed-forward neural networks. - Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo:
Developing a Portable Natural Language Processing Based Phenotyping System. - Zhe Zhang, Brian Bockelman, Derek Weitzel, David Swanson:
Discovering Job Preemptions in the Open Science Grid. - Bahador Saket, Dominik Moritz, Halden Lin, Victor Dibia, Çagatay Demiralp, Jeffrey Heer:
Beyond Heuristics: Learning Visualization Design. - Omar Tahri:
A Framework for Moment Invariants. - Christian Coester, Elias Koutsoupias:
The Online k-Taxi Problem. - Tim Sainburg
Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions. - Xu Ji, João F. Henriques, Andrea Vedaldi:
Invariant Information Distillation for Unsupervised Image Segmentation and Clustering. - Mücahid Kutlu, Kareem Darwish, Tamer Elsayed:
Devam vs. Tamam: 2018 Turkish Elections. - Alejandro Mottini, Alix Lheritier, Rodrigo Acuna-Agost:
Airline Passenger Name Record Generation using Generative Adversarial Networks. - Dong Hao, Kai Li, Tao Zhou:
Payoff Control in the Iterated Prisoner's Dilemma. - Samvit Jain, Xin Wang, Joseph Gonzalez:
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. - (Withdrawn) Derandomizing the Lovasz Local Lemma via log-space statistical tests.
- Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing:
Query-Conditioned Three-Player Adversarial Network for Video Summarization. - Onur Güngör, Suzan Üsküdarli, Tunga Güngör:
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags. - Chris Mills, Javier Escobar-Avila, Sonia Haiduc:
Automatic Traceability Maintenance via Machine Learning Classification. - Till Mossakowski, Fabian Neuhaus:
Modular Semantics and Characteristics for Bipolar Weighted Argumentation Graphs. - Maxim Berman, Matthew B. Blaschko:
Supermodular Locality Sensitive Hashes. - Nick Hynes, Raymond Cheng, Dawn Song:
Efficient Deep Learning on Multi-Source Private Data. - Jiankang Zhang, Sheng Chen, Robert G. Maunder, Rong Zhang, Lajos Hanzo:
Regularized Zero-Forcing Precoding Aided Adaptive Coding and Modulation for Large-Scale Antenna Array Based Air-to-Air Communications. - Péter Karkus, David Hsu, Wee Sun Lee:
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. - Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori:
Adaptive Neural Trees. - David R. W. Sears, Gerhard Widmer:
Psychological constraints on string-based methods for pattern discovery in polyphonic corpora. - Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Richard M. Karp:
Massively Parallel Symmetry Breaking on Sparse Graphs: MIS and Maximal Matching. - Frédéric Bour, Thomas Refis, Gabriel Scherer:
Merlin: A Language Server for OCaml (Experience Report). - Louise M. Axon, Bushra A. AlAhmadi, Jason R. C. Nurse, Michael Goldsmith, Sadie Creese:
Sonification in security operations centres: what do security practitioners think? - Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu:
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. - Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan:
Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions. - Masako Kishida:
Encrypted Control System with Quantizer. - Qi Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao:
Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. - Enoch Peserico:
Deterministic oblivious distribution (and tight compaction) in linear time. - Liyong Lin, Sander Thuijsman, Yuting Zhu, Simon Ware, Rong Su, Michel A. Reniers:
Synthesis of Successful Actuator Attackers on Supervisors. - Abdul Karim, Avinash Mishra
Machine Learning Interpretability: A Science rather than a tool. - Arsalan Mosenia:
Addressing Security and Privacy Challenges in Internet of Things. - Liyong Lin, W. M. Wonham, Rong Su:
Timed Discrete-Event Systems are Synchronous Product Structures. - Tahani Albalawi, Kambiz Ghazinour, Austin Melton:
Security Mental Model: Cognitive map approach. - Felipe Campelo, Lucas S. Batista, Claus Aranha:
The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition. - Justin Gilmer, Ryan P. Adams, Ian J. Goodfellow, David G. Andersen, George E. Dahl:
Motivating the Rules of the Game for Adversarial Example Research. - Michael Cerny Green
Generating Levels That Teach Mechanics. - Maksim Panchenko, Rafael Auler, Bill Nell, Guilherme Ottoni:
BOLT: A Practical Binary Optimizer for Data Centers and Beyond. - Jing-Xuan Zhang, Zhen-Hua Ling, Li-Rong Dai:
Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis. - Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai:
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. - Giovanni De Magistris, Asim Munawar, Tu-Hoa Pham, Tadanobu Inoue, Phongtharin Vinayavekhin, Ryuki Tachibana:
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion. - Tong Chen, Wenjia Niu, Yingxiao Xiang, XiaoXuan Bai, Jiqiang Liu, Zhen Han, Gang Li:
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding. - Junjie Tan, Sa Xiao, Shiying Han, Ying-Chang Liang:
A Learning-Based Coexistence Mechanism for LAA-LTE Based HetNets. - Zhen Li, Deqing Zou, Shouhuai Xu, Hai Jin, Yawei Zhu, Zhaoxuan Chen, Sujuan Wang, Jialai Wang:
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities. - Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir:
On Evaluation of Embodied Navigation Agents. - Matthew Schlegel, Adam White, Andrew Patterson, Martha White:
General Value Function Networks. - Amitabh Basu, Soham De, Anirbit Mukherjee, Enayat Ullah:
Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders. - Ranju Mandal, Partha Pratim Roy, Umapada Pal, Michael Blumenstein:
Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval. - Mohammed Hassanin, Salman H. Khan, Murat Tahtali:
Visual Affordance and Function Understanding: A Survey. - Benjamin Aminof, Giuseppe De Giacomo, Aniello Murano, Sasha Rubin:
Planning and Synthesis Under Assumptions. - Amirsina Torfi:
Resilient Feedback Controller Design For Linear Model of Power Grids. - Yuan Liu, Yuancheng Wang, Nan Li, Xu Cheng, Yifeng Zhang, Yongming Huang, Guojun Lu:
An Attention-Based Approach for Single Image Super Resolution. - Jongpil Lee, Kyungyun Lee, Jiyoung Park, Jangyeon Park, Juhan Nam:
Deep Content-User Embedding Model for Music Recommendation. - Christos Kyrkou, George Plastiras, Stylianos I. Venieris, Theocharis Theocharides, Christos-Savvas Bouganis:
DroNet: Efficient convolutional neural network detector for real-time UAV applications. - Shao-Yen Tseng, Panayiotis G. Georgiou:
Multi-Task Unsupervised Contextual Learning for Behavioral Annotation. - Yizhong Wang, Li Xie, Xuan Zhang, Jun Chen:
Robust Distributed Compression of Symmetrically Correlated Gaussian Sources. - Clément Levin, Emeric Dynomant
A data-supported history of bioinformatics tools. - Adrian Santos, Natalia Juristo:
Comparing Techniques for Aggregating Interrelated Replications in Software Engineering. - Zhiguo Ding, Derrick Wing Kwan Ng, Robert Schober, H. Vincent Poor:
Delay Minimization for NOMA-MEC Offloading. - Stefano Di Palma, Pier Luca Lanzi:
Traditional Wisdom and Monte Carlo Tree Search Face-to-Face in the Card Game Scopone. - Wojciech Chojnacki, Zygmunt L. Szpak:
Determining ellipses from low resolution images with a comprehensive image formation model. - Sahar Vahdati, Guillermo Palma, Rahul Jyoti Nath, Christoph Lange, Sören Auer, Maria-Esther Vidal:
Unveiling Scholarly Communities over Knowledge Graphs. - Seung Hyun Lee, Dae Ha Kim, Byung Cheol Song:
Self-supervised Knowledge Distillation Using Singular Value Decomposition. - Joan Boyar, Faith Ellen, Kim S. Larsen:
The Scheduler is Very Powerful in Competitive Analysis of Distributed List Accessing. - Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong:
Computed Tomography Image Enhancement using 3D Convolutional Neural Network. - Bin Li, Dong Hao, Dengji Zhao, Tao Zhou:
Customer Sharing in Economic Networks with Costs. - Tomislav Duricic, Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence. - Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. - Josep Díaz, Mordecai J. Golin:
Smoothed Analysis of the Expected Number of Maximal Points in Two Dimensions. - Yuhao Chi, Lei Liu, Guanghui Song, Chau Yuen, Yong Liang Guan, Ying Li:
Practical MIMO-NOMA: Low Complexity & Capacity-Approaching Solution. - Adrian Santos, Janne Järvinen, Jari Partanen, Markku Oivo, Natalia Juristo:
Does the performance of TDD hold across software companies and premises? A group of industrial experiments on TDD. - Adrian Santos, Markku Oivo, Natalia Juristo:
Moving Beyond the Mean: Analyzing Variance in Software Engineering Experiments. - Zhongzheng Tang, Zhuo Diao:
Approximation algorithms on k-cycle covering and k-clique covering. - Robin Lamarche-Perrin:
An Information-theoretic Framework for the Lossy Compression of Link Streams. - Tal Linzen, Brian Leonard:
Distinct patterns of syntactic agreement errors in recurrent networks and humans. - Luca Cardelli, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Guaranteed Error Bounds on Approximate Model Abstractions through Reachability Analysis. - Gaurav Naithani, Joonas Nikunen, Lars Bramsløw, Tuomas Virtanen:
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applications. - Christoph Rasche:
Melanoma Recognition with an Ensemble of Techniques for Segmentation and a Structural Analysis for Classification. - Arber Zela
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. - Saad Aldoihi
Evaluation of CT Scan Usability for Saudi Arabian Users. - Jöran Beel, Barry Smyth, Andrew Collins:
RARD II: The 2nd Related-Article Recommendation Dataset. - Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alex Peysakhovich, Kyunghyun Cho, Joan Bruna:
Backplay: "Man muss immer umkehren". - Gennaro Cordasco, Luisa Gargano, Joseph Peters, Adele Anna Rescigno, Ugo Vaccaro:
Time-Bounded Influence Diffusion with Incentives. - Yevhenii O. Modlo, Serhiy O. Semerikov:
Development of SageMath filter for Moodle. - Evandro Cunha, Gabriel Magno, Josemar Alves Caetano, Douglas do Couto Teixeira, Virgílio A. F. Almeida:
Fake news as we feel it: perception and conceptualization of the term "fake news" in the media. - Mark de Berg, Hans L. Bodlaender, Sándor Kisfaludi-Bak, Sudeshna Kolay:
An ETH-Tight Exact Algorithm for Euclidean TSP. - Robbert Voorhoeve, Robin de Rozario, Wouter H. T. M. Aangenent, Tom Oomen:
Identifying Position-Dependent Mechanical Systems: A Modal Approach with Applications to Wafer Stage Control. - Daiki Tamada, Marie-Luise Kromrey, Hiroshi Onishi, Utaroh Motosugi:
Method for motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MRI of the liver. - Peyman Tavallali, Gary B. Doran Jr., Lukas Mandrake:
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms. - Dimitar Nikolov, Mounia Lalmas, Alessandro Flammini, Filippo Menczer:
Quantifying Biases in Online Information Exposure. - Firat Özdemir, Zixuan Peng, Christine Tanner, Philipp Fürnstahl, Orcun Goksel:
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy. - Jungwook Choi, Pierce I-Jen Chuang, Zhuo Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan:
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN). - Kitty Meeks, Fiona Skerman:
The parameterised complexity of computing the maximum modularity of a graph. - Veronica Morfi, Dan Stowell:
Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning. - Christos Thrampoulidis, Ankit Singh Rawat:
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization. - Sixun Ouyang, Aonghus Lawlor, Felipe Costa, Peter Dolog:
Improving Explainable Recommendations with Synthetic Reviews. - Amir Ghodrati, Efstratios Gavves, Cees G. M. Snoek:
Video Time: Properties, Encoders and Evaluation. - Mahardhika Pratama, Choiru Za'in, Eric Pardede:
Evolving Large-Scale Data Stream Analytics based on Scalable PANFIS. - Filip Klubicka, Giancarlo D. Salton, John D. Kelleher:
Is it worth it? Budget-related evaluation metrics for model selection. - Grigoriy V. Bokov:
Quantified boolean formula problem. - Anindya De, Philip M. Long, Rocco A. Servedio:
Learning Sums of Independent Random Variables with Sparse Collective Support. - Nadia Polikarpova, Ilya Sergey:
Structuring the Synthesis of Heap-Manipulating Programs. - Yuzhe Ma, Subhendu Roy, Jin Miao, Jiamin Chen, Bei Yu:
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach. - Soheil Abbasloo, Yang Xu, H. Jonathan Chao:
HyLine: a Simple and Practical Flow Scheduling for Commodity Datacenters. - Huy-Hieu Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin:
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks. - Zhenyi Wang, Olga Veksler:
Location Augmentation for CNN. - André Sousa Lago, Hugo Sereno Ferreira
Conversation-Based Complex Event Management in Smart-Spaces. - Mikhail V. Volkov:
Slowly Synchronizing Automata with Idempotent Letters of Low Rank. - Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto:
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias. - Assaf J. Kfoury:
A Fixed-Parameter Linear-Time Algorithm to Compute Principal Typings of Planar Flow Networks. - Étienne André, Didier Lime, Nicolas Markey:
Language Preservation Problems in Parametric Timed Automata. - Ramon Sanabria, Florian Metze:
Hierarchical Multi Task Learning With CTC. - Fabiano Ferreira Luz, Marcelo Finger:
Semantic Parsing: Syntactic assurance to target sentence using LSTM Encoder CFG-Decoder. - Antoine Recanati, Thomas Kerdreux, Alexandre d'Aspremont:
Reconstructing Latent Orderings by Spectral Clustering. - Nagabhushan Eswara, S. Ashique, Anand Panchbhai, Soumen Chakraborty, Hemanth P. Sethuram, Kiran Kuchi, Abhinav Kumar, Sumohana S. Channappayya:
Streaming Video QoE Modeling and Prediction: A Long Short-Term Memory Approach. - Chih-Hao Fang, Sudhir B. Kylasa, Farbod Roosta-Khorasani, Michael W. Mahoney, Ananth Grama:
Distributed Second-order Convex Optimization. - Sophia Sanborn, David D. Bourgin, Michael Chang, Thomas L. Griffiths:
Representational efficiency outweighs action efficiency in human program induction. - Kent Quanrud:
Fast and Deterministic Approximations for k-Cut. - Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. - Alexey Tikhonov, Ivan P. Yamshchikov:
Guess who? Multilingual approach for the automated generation of author-stylized poetry. - Albert Parra, Andrew W. Haddad, Mireille Boutin, Edward J. Delp:
A Hand-Held Multimedia Translation and Interpretation System with Application to Diet Management. - José Gómez-Torrecillas, Francisco Javier Lobillo, Gabriel Navarro:
Minimum distance computation of linear codes via genetic algorithms with permutation encoding. - Fedor V. Fomin, Petr A. Golovach, Daniel Lokshtanov, Fahad Panolan, Saket Saurabh:
Approximation Schemes for Low-Rank Binary Matrix Approximation Problems. - Arnaud Spiwack:
Circuits via topoi. - Lorena Recalde, Ricardo Baeza-Yates:
What kind of content are you prone to tweet? Multi-topic Preference Model for Tweeters. - Kevin Moran, Carlos Bernal-Cárdenas, Mario Linares-Vásquez, Denys Poshyvanyk:
Overcoming Language Dichotomies: Toward Effective Program Comprehension for Mobile App Development. - Mojtaba Abolfazli, June Zhang, Anthony Kuh:
How Consumer Empathy Assist Power Grid in Demand Response. - Kevin Moran:
Automating Software Development for Mobile Computing Platforms (Doctoral Symposium). - Qiang Hao, April Galyardt, Bradley Barnes, Robert Maribe Branch, Ewan Wright:
Automatic Identification of Ineffective Online Student Questions in Computing Education. - Pavel Veselý, Marek Chrobak, Lukasz Jez, Jirí Sgall:
A φ-Competitive Algorithm for Scheduling Packets with Deadlines. - Sakshi Mishra, Praveen Palanisamy:
Efficient Power Flow Management and Peak Shaving in a Microgrid-PV System. - André R. Flores, Bruno Clerckx, Rodrigo C. de Lamare:
Tomlinson-Harashima Precoded Rate-Splitting for Multiuser MIMO Systems. - Yadollah Yaghoobzadeh, Katharina Kann, Hinrich Schütze:
Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing. - Sami Davies, Thomas Rothvoss, Yihao Zhang:
A Tale of Santa Claus, Hypergraphs and Matroids. - Abhishek Agarwal, Larkin Flodin, Arya Mazumdar:
Linear Programming Approximations for Index Coding. - Chongwen Huang, Alessio Zappone, Mérouane Debbah, Chau Yuen:
Achievable Rate maximization by Passive Intelligent Mirrors. - Chongwen Huang, Lei Liu, Chau Yuen:
Asymptotically Optimal Estimation Algorithm for the Sparse Signal with Arbitrary Distributions. - Nakamasa Inoue, Koichi Shinoda:
Few-Shot Adaptation for Multimedia Semantic Indexing. - Nicolás Alvarez, Olivier Carton:
On normality in shifts of finite type. - Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Isolating effects of age with fair representation learning when assessing dementia. - Siddharth Mahendran, Ming Yang Lu, Haider Ali, René Vidal:
Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks. - Chaojie Wang, Siyuan Gong, Anye Zhou, Tao Li, Srinivas Peeta:
Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints. - Chao Li, Zheheng Zhao, Xiaohu Guo:
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera. - Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty:
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem. - Can Xu, Wei Wu, Yu Wu:
Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts. - Jindong Wang, Wenjie Feng
Visual Domain Adaptation with Manifold Embedded Distribution Alignment. - Giovanni Rossi:
Searching for network modules. - Andreas Arzt, Stefan Lattner:
Audio-to-Score Alignment using Transposition-invariant Features. - Aykut Koç, Ihsan Utlu, Lutfi Kerem Senel, Haldun M. Özaktas:
Imparting Interpretability to Word Embeddings. - Wei Ping, Kainan Peng, Jitong Chen:
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. - Dmitry Shalyga, Pavel Filonov, Andrey Lavrentyev:
Anomaly Detection for Water Treatment System based on Neural Network with Automatic Architecture Optimization. - Carlos Herranz-Perdiguero, Carolina Redondo-Cabrera, Roberto Javier López-Sastre:
In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization. - Alonso Rodríguez-Navarro, Ricardo Brito:
Probability and expected frequency of breakthroughs - a robust method of research assessment based on the double rank property of citation distributions. - Chi Hong, Yichi Zhou:
Label Aggregation via Finding Consensus Between Models. - Navaneet K. L., Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu, Anirban Chakraborty:
Deep Sequential Multi-camera Feature Fusion for Person Re-identification. - Jöran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth:
Mr. DLib's Living Lab for Scholarly Recommendations. - Qiong Wu, Shuzhen Nie, Pingyi Fan, Zhengquan Li, Cui Zhang:
A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications. - Daniel T. Braithwaite, W. Bastiaan Kleijn:
Bounded Information Rate Variational Autoencoders. - Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez:
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery. - Lin Cheng, Xu Liu, Lingling Li, Licheng Jiao, Xu Tang:
Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images. - Guyslain Naves, F. Bruce Shepherd:
When Do Gomory-Hu Subtrees Exist? - Javid Dadashkarimi, Sekhar Tatikonda:
Sequence to Logic with Copy and Cache. - Yinan Qi, Mythri Hunukumbure, Hyungju Nam, Hyunil Yoo, SaiDhiraj Amuru:
On the Phase Tracking Reference Signal (PT-RS) Design for 5G New Radio (NR). - Pierre Barré, Katja Herzog, Rebecca Höfle, Matthias B. Hullin, Reinhard Töpfer, Volker Steinhage:
Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks. - Esteban García-Cuesta
Indexing Execution Patterns in Workflow Provenance Graphs through Generalized Trie Structures. - Christine Tanner, Firat Özdemir, Romy Profanter, Valery Vishnevsky, Ender Konukoglu, Orçun Göksel:
Generative Adversarial Networks for MR-CT Deformable Image Registration. - Adam Tsakalidis, Maria Liakata, Theodoros Damoulas, Alexandra I. Cristea:
Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. - Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. - Tobias Hinz, Nicolás Navarro-Guerrero, Sven Magg, Stefan Wermter:
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks. - Kleanthis Thramboulidis, Danai C. Vachtsevanou, Ioanna Kontou:
Cyber-Physical Microservices and IoT-based Framework: The case of Evolvable Assembly Systems. - Shah Nawaz, Muhammad Kamran Janjua, Alessandro Calefati, Ignazio Gallo:
Revisiting Cross Modal Retrieval. - Adnan Rashid
Formal Modeling of Robotic Cell Injection Systems in Higher-order Logic. - Daniel S. Katz, Stephan Druskat, Robert Haines, Caroline Jay, Alexander Struck:
The State of Sustainable Research Software: Results from the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1). - Félix Díaz-Hermida, Juan Carlos Vidal:
Fuzzy quantification for linguistic data analysis and data mining. - Hongdiao Wen, Rongjian Xu, Tie Zhang:
ISIC 2018-A Method for Lesion Segmentation. - Michaela Regneri, Malte Hoffmann, Jurij Kost, Niklas Pietsch, Timo Schulz, Sabine Stamm:
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning. - Valeriy Vishnevskiy, Sergio J. Sanabria, Orcun Goksel:
Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging. - Nitika Khurana, Sudip Mittal, Anupam Joshi:
Preventing Poisoning Attacks on AI based Threat Intelligence Systems. - Pietro Danzi, Anders E. Kalør, Cedomir Stefanovic, Petar Popovski:
Delay and Communication Tradeoffs for Blockchain Systems with Lightweight IoT Clients. - Liang Yao, Chengsheng Mao, Yuan Luo:
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks. - Nikita Dvornik, Julien Mairal, Cordelia Schmid:
Modeling Visual Context is Key to Augmenting Object Detection Datasets. - Yi Zhou, Guillermo Gallego, Henri Rebecq, Laurent Kneip, Hongdong Li, Davide Scaramuzza:
Semi-Dense 3D Reconstruction with a Stereo Event Camera. - Thomas W. Mitchel, Sipu Ruan, Gregory S. Chirikjian:
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm. - Rui Fan, Yanan Liu, Xingrui Yang, Mohammud Junaid Bocus, Naim Dahnoun, Scott Tancock:
Real-Time Stereo Vision for Road Surface 3-D Reconstruction. - Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song:
Selective Zero-Shot Classification with Augmented Attributes. - Wei Guo, Weile Zhang, Pengcheng Mu, Feifei Gao, Hai Lin:
High-Mobility Wideband Massive MIMO Communications: Doppler Compensation, Analysis and Scaling Law. - Neng Shi, Yubo Tao:
CNNs based Viewpoint Estimation for Volume Visualization. - Preetham Putha, Manoj Tadepalli, Bhargava Reddy, Tarun Raj, Justy Antony Chiramal, Shalini Govil, Namita Sinha, Manjunath KS, Sundeep Reddivari, Pooja Rao
Can Artificial Intelligence Reliably Report Chest X-Rays?: Radiologist Validation of an Algorithm trained on 1.2 Million X-Rays. - Matteo Orrù, Marco Mobilio, Anas Shatnawi, Oliviero Riganelli, Alessandro Tundo, Leonardo Mariani:
Model-Based Monitoring for IoTs Smart Cities Applications. - Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira:
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation. - Shuhao Yan, Paul Goulart, Mark Cannon:
Stochastic Model Predictive Control with Discounted Probabilistic Constraints. - Davide Mazzini:
Guided Upsampling Network for Real-Time Semantic Segmentation. - Kaveh Bastani, Hamed Namavari, Jeffrey Shaffer:
Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints. - Hoang-An Le, Anil S. Baslamisli, Thomas Mensink
Three for one and one for three: Flow, Segmentation, and Surface Normals. - Serge Gratton, Ehouarn Simon
Minimizing convex quadratic with variable precision Krylov methods. - José Correa, Raimundo Saona, Bruno Ziliotto:
Prophet Secretary Through Blind Strategies. - Niklas Georg, Dimitrios Loukrezis
Uncertainty quantification for an optical grating coupler with an adjoint-based Leja adaptive collocation method. - Deeraj Nagothu, Ronghua Xu, Seyed Yahya Nikouei, Yu Chen:
A Microservice-enabled Architecture for Smart Surveillance using Blockchain Technology. - William Drozd, Michael D. Wagner:
FuzzerGym: A Competitive Framework for Fuzzing and Learning. - Chien-Feng Liao, Yu Tsao, Hung-yi Lee, Hsin-Min Wang:
Noise Adaptive Speech Enhancement using Domain Adversarial Training. - Amit Dhurandhar, Karthikeyan Shanmugam, Ronny Luss, Peder A. Olsen:
Improving Simple Models with Confidence Profiles. - Yang Deng, Yao Sun, Yongpei Zhu, Mingwang Zhu, Wei Han, Kehong Yuan:
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net. - Federico Camposeco, Andrea Cohen, Marc Pollefeys, Torsten Sattler:
Hybrid scene Compression for Visual Localization. - Christian Komusiewicz, André Nichterlein, Rolf Niedermeier, Marten Picker:
Exact Algorithms for Finding Well-Connected 2-Clubs in Real-World Graphs: Theory and Experiments. - Priyanka Ranade, Sudip Mittal, Anupam Joshi, Karuna P. Joshi:
Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence. - Grant P. Strimel, Kanthashree Mysore Sathyendra, Stanislav Peshterliev:
Statistical Model Compression for Small-Footprint Natural Language Understanding. - João Bernardino, Luís Filipe Teixeira, Hugo Sereno Ferreira
Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning. - Johannes Gräter, Alexander Wilczynski, Martin Lauer:
LIMO: Lidar-Monocular Visual Odometry. - Alexander Wei:
Optimal Las Vegas Approximate Near Neighbors in 𝓁p. - Thommen George Karimpanal, Roland Bouffanais:
Self-Organizing Maps as a Storage and Transfer Mechanism in Reinforcement Learning. - Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. - David Berthelot, Colin Raffel, Aurko Roy, Ian J. Goodfellow:
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer. - João Loula, Marco Baroni, Brenden M. Lake:
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks. - Yen Khye Lim, Zukang Liao, Stavros Petridis, Maja Pantic:
Transfer Learning for Action Unit Recognition. - Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus:
Capsule Networks against Medical Imaging Data Challenges. - Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Conditional Image Composition. - Sungmin Cha, Taesup Moon:
Fully Convolutional Pixel Adaptive Image Denoiser. - Ahmet Murat Turk, Alper Bilge:
Bilgisayar Muhendisligi Egitiminde Teknoloji Egilimlerinin Takip Edilmesi. - Ari Melo Mariano, Maíra Rocha Santos:
Universalizing science: alternative indices to direct research. - Fabio Garofalo, Giovanna Rosone, Marinella Sciortino, Davide Verzotto:
The colored longest common prefix array computed via sequential scans. - Mahdi Azarafrooz:
Doubly Stochastic Adversarial Autoencoder. - Anna C. Gilbert, Rishi Sonthalia:
Unrolling Swiss Cheese: Metric repair on manifolds with holes. - Mahdi Azarafrooz:
Adaptive Variational Particle Filtering in Non-stationary Environments. - Matthias Zeppelzauer, Alexis Ringot, Florian Taurer:
SoniControl - A Mobile Ultrasonic Firewall. - Anna C. Gilbert, Rishi Sonthalia:
Generalized Metric Repair on Graphs. - Julian Zimmert, Yevgeny Seldin:
An Optimal Algorithm for Stochastic and Adversarial Bandits. - Clark Alexander, Tara Nenninger, Danielle Tucker:
The Limiting Eigenvalue Distribution of Iterated k-Regular Graph Cylinders. - Michal Pilipczuk, Erik Jan van Leeuwen, Andreas Wiese:
Quasi-polynomial time approximation schemes for packing and covering problems in planar graphs. - Daniel Canaday, Aaron Griffith, Daniel J. Gauthier:
Rapid Time Series Prediction with a Hardware-Based Reservoir Computer. - Moses Charikar, Paris Siminelakis:
Multi-Resolution Hashing for Fast Pairwise Summations. - Suman Kalyan Bera, Prantar Ghosh:
Coloring in Graph Streams. - Marcus Foster, Sean Tregeagle:
Physical-type correctness in scientific Python. - David G. Harris:
Distributed approximation algorithms for maximum matching in graphs and hypergraphs. - Nikita Basov:
Socio-Material Network Analysis: A Mixed Method Study of Five European Artistic Collectives. - Zahra Shakeri Hossein Abad, Sania Moazzam, Christina Lo, Tianhan Lan, Elis Frroku, Heejun Kim:
Loud and Interactive Paper Prototyping in Requirements Elicitation: What is it Good for? - Sungryull Sohn, Junhyuk Oh, Honglak Lee:
Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies. - Jacob Richeimer, Jonathan Mitchell:
Bounding Box Embedding for Single Shot Person Instance Segmentation. - Mohammad Masudur Rahman, Chanchal K. Roy:
Poster: Improving Bug Localization with Report Quality Dynamics and Query Reformulation. - Vinson Young, Sanjay Kariyappa, Moinuddin K. Qureshi:
CRAM: Efficient Hardware-Based Memory Compression for Bandwidth Enhancement. - Victoria Kostina, Yuval Peres, Gireeja Ranade, Mark Sellke:
Exact minimum number of bits to stabilize a linear system. - Bochao Wang, Huabin Zhang, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang:
Toward Characteristic-Preserving Image-based Virtual Try-On Network. - Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou:
gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing. - Hessam S. Sarjoughian, William A. Boyd, Miguel F. Acevedo:
Challenges of Achieving Efficient Simulations Through Model Abstraction. - Siyang Qin, Jiahui Wei, Roberto Manduchi:
Automatic Semantic Content Removal by Learning to Neglect. - Kyungjune Baek, Duhyeon Bang, Hyunjung Shim:
Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. - Atilim Gunes Baydin, Lukas Heinrich, Wahid Bhimji, Bradley Gram-Hansen, Gilles Louppe, Lei Shao, Prabhat, Kyle Cranmer, Frank D. Wood:
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model. - Minseok Choi, Dong-Jun Han, Jaekyun Moon:
Bi-Directional Cooperative NOMA without Full CSIT. - Pulugurtha Krishna Subba Rao, Duggirala Meher Krishna, Duggirala Ravi:
Multivariate Public Key Cryptography and Digital Signature. - Minseok Choi, Daejung Yoon, Joongheon Kim:
Blind Signal Classification for Non-Orthogonal Multiple Access in Internet-of-Things Networks. - Po-Yu Kao, Thuyen Ngo, Angela Zhang, Jefferson W. Chen, B. S. Manjunath:
Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction. - Andrey V. Savchenko:
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN. - Eric Bach, Bryce Sandlund:
On Euclidean Methods for Cubic and Quartic Jacobi Symbols. - Ben Blamey, Andreas Hellander, Salman Zubair Toor:
Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison. - Jiliang Zhang, Haihan Su:
Machine Learning Attack and Defense on Voltage Over-scaling-based Lightweight Authentication. - Luiza Sayfullina, Eric Malmi, Juho Kannala:
Learning Representations for Soft Skill Matching. - Bela Berde, Steven van Rossem, Aurora Ramos, Matteo Orrù, Anas Shatnawi:
Dev-for-Operations and Multi-sided Platform for Next Generation Platform as a Service. - Xuan Zhao, Jia Pan:
Considering Human Behavior in Motion Planning for Smooth Human-Robot Collaboration in Close Proximity. - Shaunak Joshi, Deepali Deshpande:
Twitter Sentiment Analysis System. - Alireza Olama, Mokhtar Shasadeghi, Abdolrahman Ramezani:
Stable MPC Design for Hybrid Mixed Logical Dynamical Systems: l∞-based Lyapunov Approach. - Joris Guérin, Byron Boots:
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors. - Marco Cremonini, Francesca Casamassima:
Controllability of Social Networks and the Strategic Use of Random Information. - Iosif Szeidert, Ioan Filip, Octavian Prostean, Cristian Vasar:
Above Modelling and Adaptive Control of a Double Winded Induction Generator. - Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati
Physical Adversarial Examples for Object Detectors. - Cristian Vasar, Octavian Prostean, Ioan Filip, Iosif Szeidert:
Wind Energy Conversion System - a Laboratory Setup. - Tru Hoang Cao, Vuong M. Ngo, Dung T. Hong, Tho T. Quan:
Semantic Document Clustering on Named Entity Features. - Vuong M. Ngo, Tru Hoang Cao:
A Generalized Vector Space Model for Ontology-Based Information Retrieval. - Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI. - Nicholas Coxon:
Fast transforms over finite fields of characteristic two. - Ghislain Fourny:
Kripke Semantics of the Perfectly Transparent Equilibrium. - Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, R. Venkatesh Babu:
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. - Rashidah Kasauli, Eric Knauss, Benjamin Kanagwa, Agneta Nilsson, Gul Calikli:
Safety-Critical Systems and Agile Development: A Mapping Study. - Arnaud Casteigts:
Finding Structure in Dynamic Networks. - Santiago Estrada, Sailesh Conjeti, Muneer Ahmad Dedmari, Nassir Navab, Martin Reuter:
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks. - Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. - Balázs Csanád Csáji, Zsolt Kemény, Gianfranco Pedone, András Kuti, József Váncza:
Wireless Multi-Sensor Networks for Smart Cities: A Prototype System with Statistical Data Analysis. - Giuseppe Franzè, Massimiliano Mattei, Luciano Ollio, Valerio Scordamaglia:
A Norm-Bounded based MPC strategy for uncertain systems under partial state availability. - Florentin Guth, Valentin Wüstholz, Maria Christakis, Peter Müller:
Specification Mining for Smart Contracts with Automatic Abstraction Tuning. - Serhiy O. Semerikov, Andrii M. Striuk, Kateryna I. Slovak, Natalya Rashevska, Yuliia V. Yechkalo:
A man with a computer face (to the 80th anniversary of Ivan Edward Sutherland). - Jules Hedges, Martha Lewis
Towards functorial language-games. 89-102 - Briti Deb, Indrajit Mukherjee:
Biclustering Using Modified Matrix Bandwidth Minimization and Biogeography-based Optimization. - Yang Liu, Xin Yuan, Jin-Li Suo, David J. Brady, Qionghai Dai:
Rank Minimization for Snapshot Compressive Imaging. - Feargus Pendlebury, Fabio Pierazzi, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro:
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time. - Jörg Stork, Martin Zaefferer, Thomas Bartz-Beielstein:
Distance-based Kernels for Surrogate Model-based Neuroevolution. - Jiahu Qin, Qichao Ma, Xinghuo Yu, Long Wang:
On Synchronization of Dynamical Systems over Directed Switching Topologies: An Algebraic and Geometric Perspective. - Oksana M. Markova, Serhiy O. Semerikov, Andrii M. Striuk:
The cloud technologies of learning: origin. - Andrii M. Striuk, Serhiy O. Semerikov, Ihor V. Tarasov:
Bachelor of informatics competence in programming. - Constantinos G. Loukas:
Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features. - Hang Zhou
Talking Face Generation by Adversarially Disentangled Audio-Visual Representation. - Tingxiang Fan, Xinjing Cheng, Jia Pan, Dinesh Manocha, Ruigang Yang:
CrowdMove: Autonomous Mapless Navigation in Crowded Scenarios. - Daniel Coelho de Castro, Sebastian Nowozin:
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data. - Yong Huang, Wei Wang, Biao He, Liang Sun, Tao Jiang:
On Secure Transmission Design: An Information Leakage Perspective. - Valentin Wüstholz, Maria Christakis:
Learning Inputs in Greybox Fuzzing. - Amir Varasteh, Marilet De Andrade, Carmen Mas Machuca, Lena Wosinska, Wolfgang Kellerer:
Power-Aware Virtual Network Function Placement and Routing using an Abstraction Technique. - Ibrahim Issa, Aaron B. Wagner, Sudeep Kamath:
An Operational Approach to Information Leakage. - Matthew Fahrbach, Vahab S. Mirrokni, Morteza Zadimoghaddam:
Submodular Maximization with Optimal Approximation, Adaptivity and Query Complexity. - Anton Podkopaev, Ori Lahav, Viktor Vafeiadis:
Bridging the Gap Between Programming Languages and Hardware Weak Memory Models. - Gabriele Carcassi, Christine A. Aidala:
Towards a general mathematical theory of experimental science. - Chryssis Georgiou, Robert Gustafsson, Andreas Lindhe, Elad Michael Schiller:
Self-stabilization Overhead: an Experimental Case Study on Coded Atomic Storage. - Michal Soltys, Szymon Jaroszewicz
Boosting algorithms for uplift modeling. - Mónika Csikós, Andrey Kupavskii, Nabil H. Mustafa:
Optimal Bounds on the VC-dimension. - Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks. - Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf:
Photorealistic Video Super Resolution. - Anastasiya M. Hraivoronska, Dmytro V. Lande:
Decomposing an information stream into the principal components. - Guillermo de Bernardo, Susana Ladra:
About BIRDS project (Bioinformatics and Information Retrieval Data Structures Analysis and Design). - Karel Lenc, Andrea Vedaldi:
Large scale evaluation of local image feature detectors on homography datasets. - Esmaeil Mohammadian Koruyeh, Khaled N. Khasawneh, Chengyu Song, Nael B. Abu-Ghazaleh:
Spectre Returns! Speculation Attacks using the Return Stack Buffer. - Seyed Shahabeddin Nabavi, Mrigank Rochan, Yang Wang:
Future Semantic Segmentation with Convolutional LSTM. - Zhezhi He, Boqing Gong, Deliang Fan:
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. - Christian Johansen, Aulon Mujaj, Hamed Arshad, Josef Noll:
The Snowden Phone: A Comparative Survey of Secure Instant Messaging Mobile Applications (authors' version). - Payam Ghassemi, Souma Chowdhury:
Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented with Fuzzy Clustering. - Jonathan Mei, José M. F. Moura:
Single Index Latent Variable Models for Network Topology Inference. - Thomas A. Courtade:
Bounds on the Poincaré constant for convolution measures. - Réka Albert, John Baillieul, Adilson E. Motter:
Introduction to the Special Issue on Approaches to Control Biological and Biologically Inspired Networks. - Martin Magill, Faisal Qureshi, Hendrick W. de Haan:
Neural Networks Trained to Solve Differential Equations Learn General Representations. - Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins:
Task-Driven Convolutional Recurrent Models of the Visual System. - Edward I. George, Prakash Laud, Brent R. Logan, Robert E. McCulloch, Rodney Sparapani:
Fully Nonparametric Bayesian Additive Regression Trees. - Aamir Mahmood, Muhammad Ikram Ashraf, Mikael Gidlund, Johan Torsner:
Over-the-Air Time Synchronization for URLLC: Requirements, Challenges and Possible Enablers. - Thomas Dean, Maurice Chiang, Marcus Gomez, Nate Gruver, Yousef Hindy, Michelle Lam, Peter Lu, Sophia Sanchez, Rohun Saxena, Michael Smith, Lucy Wang, Catherine Wong:
Amanuensis: The Programmer's Apprentice. - Thong Q. Nguyen
Topology classification with deep learning to improve real-time event selection at the LHC. - Se Un Park:
A Learning Theory in Linear Systems under Compositional Models. - Min Zhang, Qianli Ma, Chengfeng Wen, Hai Chen, Deruo Liu, Xianfeng Gu, Jie He, Xiaoyin Xu:
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry. - Sergio Rodriguez, Mike Ludkovski:
Probabilistic Bisection with Spatial Metamodels. - Yasushi Kawase, Yusuke Kobayashi, Yutaro Yamaguchi:
Finding a Path in Group-Labeled Graphs with Two Labels Forbidden. - Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities. - Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sampling and Reconstruction of Signals on Product Graphs. - Jeroen Zuiddam:
The asymptotic spectrum of graphs and the Shannon capacity. - Vyacheslav Kungurtsev, Tomás Pevný:
Algorithms for solving optimization problems arising from deep neural net models: smooth problems. - Vyacheslav Kungurtsev, Tomás Pevný:
Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems. - Evgeny Lavrik, Iaroslav Panasenko, Hans Rudolf Schmidt:
Advanced Methods for the Optical Quality Assurance of Silicon Sensors. - Jeremy R. Ash, Jacqueline M. Hughes-Oliver:
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models. - Andrey Gritsenko, Martin A. Lindquist, Gregory R. Kirk, Moo K. Chung:
Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI. - Jennifer B. Erway, Joshua D. Griffin, Roummel F. Marcia, Riadh Omheni:
Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations. - Damek Davis, Dmitriy Drusvyatskiy, Kellie J. MacPhee:
Stochastic model-based minimization under high-order growth. - Li Xie, Yiqun Zhang, Junyan Xu:
Optimal Two-impulse Space Interception with Multi-constraints. - Yury A. Blinkov, Vladimir P. Gerdt, Dmitry A. Lyakhov
A Strongly Consistent Finite Difference Scheme for Steady Stokes Flow and its Modified Equations. - Constanza Riera, Patrick Solé, Pantelimon Stanica:
A complete characterization of plateaued Boolean functions in terms of their Cayley graphs. - F. Patricia Medina, Linda Ness, Melanie Weber, Karamatou Yacoubou Djima:
Heuristic Framework for Multi-Scale Testing of the Multi-Manifold Hypothesis. - Ran Rubin:
New Heuristics for Parallel and Scalable Bayesian Optimization. - Edward Raff, Jared Sylvester:
Gradient Reversal Against Discrimination. - Maria Lomeli, Mark Rowland, Arthur Gretton, Zoubin Ghahramani:
Antithetic and Monte Carlo kernel estimators for partial rankings. - Oliver Hinder, Yinyu Ye:
A polynomial time log barrier method for problems with nonconvex constraints. - Masayuki Ohzeki, Shuntaro Okada, Masayoshi Terabe, Shinichiro Taguchi:
Optimization of neural networks via finite-value quantum fluctuations. - Rachel Skipper, Benjamin Steinberg:
Lamplighter groups, bireversible automata and rational series over finite rings. - Yunfei Ye, Dong Han:
Multi-distance Support Matrix Machines. - Yong Zhuang, Osman Yagan:
Multi-Stage Complex Contagions in Random Multiplex Networks. - Benjamin Sliwa, Nico Piatkowski, Marcus Haferkamp, Dennis Dorn, Christian Wietfeld:
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting. - Éric Fusy, Benjamin Lévêque:
Orientations and bijections for toroidal maps with prescribed face-degrees and essential girth. - Ignacio Morer, Alessio Cardillo, Albert Díaz-Guilera, Luce Prignano, Sergi Lozano:
Comparing spatial networks: A 'one size fits all' efficiency-driven approach. - Immanuel Albrecht:
Well-Scaling Procedure for Deciding Gammoid Class-Membership of Matroids. - Pascal Giard, Alexios Balatsoukas-Stimming, Andreas Burg:
On the Tradeoff Between Accuracy and Complexity in Blind Detection of Polar Codes. - Andrew J. McMurry, Richen Zhang, Alex Foxman, Lawrence Reiter, Ronny Schnel, DeLeys Brandman:
Using routinely collected patient data to support clinical trials research in accountable care organizations. - Minseok Choi, Joongheon Kim, Jaekyun Moon:
Dynamic Power Allocation and User Scheduling for Power-Efficient and Low-Latency Communications. - Mishal Assif P. K.
A simple proof of the discrete time geometric Pontryagin maximum principle. - Akihiro Kato, Tomi Kinnunen:
Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks. - Johannes Bausch
Classifying Data with Local Hamiltonians. - Shah Hassan, Hadia Sajjad, Muhammad Mahboob Ur Rahman:
Power Imbalance Detection in Smart Grid via Grid Frequency Deviations: A Hidden Markov Model based Approach. - Shaoxing Mo, Yinhao Zhu, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu:
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media. - Michael W. Mislove:
Domains and Stochastic Processes. - Amelia Perry, Alexander S. Wein, Afonso S. Bandeira, Ankur Moitra:
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models. - Sheikh Rabiul Islam:
A Deep Learning Based Illegal Insider-Trading Detection and Prediction Technique in Stock Market. - Yuya Takashina, Shuyo Nakatani, Masato Inoue:
Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood Estimation. - Ibrahim Sadek:
Ballistocardiogram Signal Processing: A Literature Review. - Pu Gao, Catherine S. Greenhill:
Uniform generation of spanning regular subgraphs of a dense graph. - Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. - Weinan E, Jiequn Han, Qianxiao Li:
A Mean-Field Optimal Control Formulation of Deep Learning. - Tomasz Raducha, Byungjoon Min, Maxi San Miguel:
Coevolving nonlinear voter model with triadic closure. - Matthias Röthlin, Hagen Klippel
Meshless Methods for Large Deformation Elastodynamics. - Ohad N. Feldheim, Ori Gurel-Gurevich:
The power of thinning in balanced allocation. - Andrzej Grzesik, Daniel Král', László Miklós Lovász:
Elusive extremal graphs. - Ramiro Camino, Christian A. Hammerschmidt
Generating Multi-Categorical Samples with Generative Adversarial Networks. - Saurav R. Tuladhar, John R. Buck:
Unit circle rectification of the MVDR beamformer. - Sai Charan Jajimi:
Fast Fourier-Based Generation of the Compression Matrix for Deterministic Compressed Sensing. - Alexios Lekidis
Model-Based Design of Energy-Efficient Applications for IoT Systems. 24-38 - Tucker Evans, Feng Fu:
Opinion formation on dynamic networks: identifying conditions for the emergence of partisan echo chambers. - Angang Cui, Jigen Peng, Haiyang Li, Changlong Wang:
A nonconvex approach to low-rank and sparse matrix decomposition with application to video surveillance. - Dipti Jasrasaria, Edward O. Pyzer-Knapp:
Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization. - (Withdrawn) New Losses for Generative Adversarial Learning.
- Fabrizio Antenucci, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Approximate Survey Propagation for Statistical Inference. - Raphael J. L. Townshend, Rishi Bedi, Ron O. Dror:
Generalizable Protein Interface Prediction with End-to-End Learning. - Been Kim, Kush R. Varshney, Adrian Weller:
Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018). - Reihaneh Entezari:
Breast Cancer Diagnosis via Classification Algorithms. - Richard B. Darlington:
Are Condorcet and minimax voting systems the best? - Sarah Elizabeth Romanes, John Thomas Ormerod, Jean Yee Hwa Yang:
Diagonal Discriminant Analysis with Feature Selection for High Dimensional Data. - Manik Dhar, Aditya Grover, Stefano Ermon:
Modeling Sparse Deviations for Compressed Sensing using Generative Models. - Gergo Bohner, Maneesh Sahani:
Empirical fixed point bifurcation analysis. - Andre Kornell:
A complete system of deduction for Sigma formulas. - Canan Aydogdu, Nil Garcia, Henk Wymeersch:
Radar Communication for Combating Mutual Interference of FMCW Radars. - Laura Aviñó, Matteo Ruffini, Ricard Gavaldà:
Generating Synthetic but Plausible Healthcare Record Datasets. - Andreas Hauptmann, Masaru Ikehata, Hiromichi Itou, Samuli Siltanen:
Revealing cracks inside conductive bodies by electric surface measurements. - Chanania Steinbock, Ofer Biham, Eytan Katzav:
Exact results for directed random networks that grow by node duplication. - Alexander Buchholz, Florian Wenzel, Stephan Mandt:
Quasi-Monte Carlo Variational Inference. - Cong Fang, Chris Junchi Li, Zhouchen Lin, Tong Zhang:
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator. - Ming Tu, Anna Grabek, Julie Liss, Visar Berisha:
Investigating the role of L1 in automatic pronunciation evaluation of L2 speech. - Armin Zare, Neil K. Dhingra, Mihailo R. Jovanovic, Tryphon T. Georgiou:
Proximal algorithms for large-scale statistical modeling and optimal sensor/actuator selection. - Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin:
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. - (Withdrawn) Quantum correlations in two-level atomic system over Herring-Flicker coupling.
- Lulu Wang, Huahui Liu, Guanhao Chen, Shaola Ren, Xiaonan Meng, Yi Hu:
Learning Theory and Algorithms for Revenue Management in Sponsored Search. - Demba Ba:
Deeply-Sparse Signal rePresentations (DS2P). - Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani:
Variational Bayesian dropout: pitfalls and fixes. - Thomas Häner, Mathias Soeken, Martin Roetteler, Krysta M. Svore:
Quantum circuits for floating-point arithmetic. - Weihong Xu, Zhiwei Zhong, Yair Be'ery, Xiaohu You, Chuan Zhang:
Joint Neural Network Equalizer and Decoder. - Alexander I. Barvinok, Anthony Della Pella:
Searching for dense subsets in a graph via the partition function. - Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner:
Contextual Bandits under Delayed Feedback. - Trefor W. Evans, Prasanth B. Nair:
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF). - Guangzhi Tang, Konstantinos P. Michmizos:
Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system. - David A. Goldberg, Yilun Chen:
Beating the curse of dimensionality in options pricing and optimal stopping. - Yan Zhang, Xiang Huang, Nicola J. Ferrier, Emine Begum Gulsoy, Charudatta Phatak:
U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling. - (Withdrawn) Outperforming Good-Turing: Preliminary Report.
- Sonali Parbhoo, Mario Wieser, Volker Roth:
Causal Deep Information Bottleneck. - Thomas Häner, Martin Roetteler, Krysta M. Svore:
Managing approximation errors in quantum programs. - Dong Hye Ye, Gregery T. Buzzard, Max Ruby
Deep Back Projection for Sparse-View CT Reconstruction. - Anna Korba, Alexandre Garcia, Florence d'Alché-Buc:
A Structured Prediction Approach for Label Ranking. - Xin Jiang Hunt, Saba Emrani, Ilknur Kaynar Kabul, Jorge Silva:
Multi-Task Learning with Incomplete Data for Healthcare. - Loren Lugosch, Vikrant Singh Tomar:
Tone Recognition Using Lifters and CTC. - Ryan LaRose:
Overview and Comparison of Gate Level Quantum Software Platforms. - Oscar Mickelin, Sertac Karaman:
Tensor ring decomposition. - Aristeidis Panos, Petros Dellaportas, Michalis K. Titsias:
Fully Scalable Gaussian Processes using Subspace Inducing Inputs. - Motonobu Kanagawa, Philipp Hennig, Dino Sejdinovic, Bharath K. Sriperumbudur:
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences. - Avinash Kumar, Tushar Jain:
Some Insights on Synthesizing Optimal Linear Quadratic Controller Using Krotov's Sufficiency Conditions. - Osama A. S. Alkishriwo:
An Image Encryption Algorithm Based on Chaotic Maps and Discrete Linear Chirp Transform. - Pauline C. M. Jakob, Koki Ho, Seiichi Shimizu, Shoji Yoshikawa:
Optimal satellite constellation spare strategy using multi-echelon inventory control with stochastic demand and lead times. - Shuaiwen Wang, Wenda Zhou, Haihao Lu, Arian Maleki, Vahab S. Mirrokni:
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions. - Alireza Vafaei Sadr, Etienne E. Vos, Bruce A. Bassett
DeepSource: Point Source Detection using Deep Learning. - Yimin Liu, Wenyue Sun, Louis J. Durlofsky:
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models. - Carina Curto, Elizabeth Gross, Jack Jeffries, Katherine Morrison, Zvi Rosen, Anne Shiu, Nora Youngs:
Algebraic signatures of convex and non-convex codes. - Varun Shankar, Akil Narayan, Robert M. Kirby:
RBF-LOI: Augmenting Radial Basis Functions (RBFs) with Least Orthogonal Interpolation (LOI) for Solving PDEs on Surfaces. - Chien-Yi Huang:
Financial Trading as a Game: A Deep Reinforcement Learning Approach. - Aleksandr Yu. Chirkov, Dmitry V. Gribanov, Dmitriy S. Malyshev, Panos M. Pardalos, Sergey I. Veselov, Nikolai Yu. Zolotykh:
On the complexity of quasiconvex integer minimization problem. - Peter I. Frazier:
A Tutorial on Bayesian Optimization. - Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano
Machine Learning in High Energy Physics Community White Paper. - Chiheon Kim, Afonso S. Bandeira, Michel X. Goemans:
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach. - Hamed Hakkak:
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure. - Atsutoshi Kumagai, Tomoharu Iwata:
Zero-shot Domain Adaptation without Domain Semantic Descriptors. - John Palowitch:
Computing the statistical significance of optimized communities in networks. - Artem Ripatti:
On the number of semi-magic squares of order 6. - Elisenda Feliu
Multistationarity for Fewnomial Chemical Reaction Networks. - Patrick Forré, Joris M. Mooij:
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders. - Diederik P. Kingma, Prafulla Dhariwal:
Glow: Generative Flow with Invertible 1x1 Convolutions. - Marcia Fampa, Jon Lee:
On Sparse Reflexive Generalized Inverses. - Ashley Prater-Bennette, Lixin Shen:
Sparse tensor recovery via N-mode FISTA with support augmentation. - Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh:
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks. - Spyridon K. Chronopoulos, Vasilis Christofilakis, Giorgos Tatsis, Panos Kostarakis:
Performance of Turbo Coded OFDM Under the Presence of Various Noise Types. - Svetlana Selivanova, Victor L. Selivanov:
Bit Complexity of Computing Solutions for Symmetric Hyperbolic Systems of PDEs with Guaranteed Precision. - Julia Calatayud Gregori, Juan Carlos Cortés, Marc Jornet-Sanz:
Improving the approximation of the first and second order statistics of the response process to the random Legendre differential equation. - Theerawit Wilaiprasitporn, Apiwat Ditthapron, Karis Matchaparn, Tanaboon Tongbuasirilai, Nannapas Banluesombatkul, Ekapol Chuangsuwanich:
Affective EEG-Based Person Identification Using the Deep Learning Approach. - Bryan Lim, Mihaela van der Schaar:
Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning. - Mostafa Mohammadkarimi, Mehrtash Mehrabi, Masoud Ardakani, Yindi Jing:
Deep Learning Based Sphere Decoding. - Takayuki Hiraoka, Hang-Hyun Jo:
Correlated bursts in temporal networks slow down spreading. - Joshua Hebert, Brittany Lewis, Hang Cai, Krishna K. Venkatasubramanian, Matthew Provost, Kelly Charlebois:
Ballistocardiogram-based Authentication using Convolutional Neural Networks. - Yagiz Savas, Melkior Ornik, Murat Cubuktepe, Ufuk Topcu:
Entropy Maximization for Markov Decision Processes Under Temporal Logic Constraints. - Stephanie C. Ross, Gabrielle Vuylsteke, Johanna L. Mathieu:
Effects of Load-Based Frequency Regulation on Distribution Network Operation. - Bollepalli S. Chandra, Challa S. Sastry, Soumya Jana:
Robust Heartbeat Detection from Multimodal Data via CNN-based Generalizable Information Fusion. - Dominik Reinhard, Michael Fauss, Abdelhak M. Zoubir:
Bayesian Sequential Joint Detection and Estimation. - Zachary C. Lipton, Jacob Steinhardt:
Troubling Trends in Machine Learning Scholarship. - Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova:
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. - Yihuang Kang, Vladimir Zadorozhny:
Process Monitoring Using Maximum Sequence Divergence. - Tian Xie, Jeffrey C. Grossman:
Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks. - Jeremy Diaz, Maxwell B. Joseph:
Predicting property damage from tornadoes with deep learning. - Yin Tat Lee, Santosh S. Vempala:
The Kannan-Lovász-Simonovits Conjecture. - Dong Eui Chang:
On Controller Design for Systems on Manifolds in Euclidean Space. - Tom Needham:
Shape analysis of framed space curves. - Bo Yang, Qianxiao Li:
Dynamics of Taxi-like Logistics Systems: Theory and Microscopic Simulations. - Makoto Araya, Masaaki Harada:
On the minimum weights of binary linear complementary dual codes. - Thijs van Ommen, Joris M. Mooij:
Algebraic Equivalence of Linear Structural Equation Models. - Martin Bompaire, Emmanuel Bacry, Stéphane Gaïffas:
Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption. - Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai:
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. - Davood Mardani, Ayman F. Abouraddy, George K. Atia:
Interferometry-based modal analysis with finite aperture effects. - Allan R. Vieira, Celia Anteneodo:
Threshold q-voter model. - Vincent Divol, Wolfgang Polonik:
On the choice of weight functions for linear representations of persistence diagrams. - Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang:
Understanding VAEs in Fisher-Shannon Plane. - Urvashi Oswal, Robert D. Nowak:
Scalable Sparse Subspace Clustering via Ordered Weighted 𝓁1 Regression. - Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush:
Latent Alignment and Variational Attention. - Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis:
Kernel-Based Learning for Smart Inverter Control. - Lifu Wang, Bo Shen:
The asymptotic behaviors of Hawkes information diffusion processes for a large number of individuals. - Janek Thomas, Stefan Coors, Bernd Bischl:
Automatic Gradient Boosting. - Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. - Hossein Nourkhiz Mahjoub, Behrad Toghi, Yaser P. Fallah:
A Driver Behavior Modeling Structure Based on Non-parametric Bayesian Stochastic Hybrid Architecture. - Afonso Fernandes Vaz, Rafael Izbicki, Rafael Bassi Stern:
Quantification under prior probability shift: the ratio estimator and its extensions. - Haijian Sun, Fuhui Zhou, Rose Qingyang Hu, Lajos Hanzo:
Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT. - Xiangru Xu, Behçet Açikmese:
Approximation of The Constrained Joint Spectral Radius via Algebraic Lifting. - Daniel-Ioan Curiac, Florin Dragan, Ovidiu Banias, Daniel T. Iercan:
A knowledge based system approach in securing distributed wireless sensor networks. - Fan Liu, Adrian García-Rodríguez, Christos Masouros, Giovanni Geraci:
Interfering Channel Estimation in Radar-Cellular Coexistence: How Much Information Do We Need? - Aasheesh Barvey, Jitin Kapila, Kumarjit Pathak:
Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques. - Tijana Radivojevic, Mario Fernández-Pendás, Jesús María Sanz-Serna, Elena V. Akhmatskaya:
Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods. - Dimitris Bertsimas, Christopher McCord:
Optimization over Continuous and Multi-dimensional Decisions with Observational Data. - Inaki Estella Aguerri, Abdellatif Zaidi:
Distributed Variational Representation Learning. - Cynthia Dwork, Weijie Su, Li Zhang:
Differentially Private False Discovery Rate Control. - Gillian Grindstaff, Megan Owen:
Geometric comparison of phylogenetic trees with different leaf sets. - Laurence Yang, José Bento, Jean-Christophe Lachance, Bernhard O. Palsson:
Genome-scale estimation of cellular objectives. - Constantinos Daskalakis, Ioannis Panageas:
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization. - Thomas J. Rademaker, Emmanuel Bengio, Paul François:
Fooling the classifier: Ligand antagonism and adversarial examples. - Steven Atkinson, Nicholas Zabaras:
Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion. - Samuel Myer, Vikrant Singh Tomar:
Efficient keyword spotting using time delay neural networks. - Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani, Dorsa Sadigh:
Maximizing Road Capacity Using Cars that Influence People. - Yihuang Kang, Vladimir Zadorozhny:
Process Discovery using Classification Tree Hidden Semi-Markov Model. - Mingao Yuan, Yang Feng, Zuofeng Shang:
A likelihood-ratio type test for stochastic block models with bounded degrees. - Brooke E. Husic, Kristy L. Schlueter-Kuck, John O. Dabiri:
Amplifying state dissimilarity leads to robust and interpretable clustering of scientific data. - Murat A. Erdogdu, Asuman E. Ozdaglar, Pablo A. Parrilo, Nuri Denizcan Vanli:
Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDPs. - Norman Margolus:
Finite-State Classical Mechanics. - Ivan Yu. Mogilnykh:
A note on regular subgroups of the automorphism group of the linear Hadamard code. - Mohammad Emtiyaz Khan, Didrik Nielsen:
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models. - Elsa Dupraz, Dominique Pastor, François-Xavier Socheleau:
Decentralized Clustering on Compressed Data without Prior Knowledge of the Number of Clusters. - Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux, Olivier Wintenberger:
Rule Induction Partitioning Estimator. - Hanwei Wu, Markus Flierl:
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval. - Dong Eui Chang:
On the Decomposition of Forces. - George Barmpalias, Nan Fang, Andrew Lewis-Pye:
Monotonous betting strategies in warped casinos. - Nico Gößling, Daniel Marquardt, Ivo Merks, Tao Zhang, Simon Doclo:
Optimal Binaural LCMV Beamforming in Complex Acoustic Scenarios: Theoretical and Practical Insights. - Ryan McConville, Gareth Archer, Ian Craddock, Herman J. ter Horst, Robert J. Piechocki, James Pope, Raúl Santos-Rodriguez:
Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable. - Luca Falorsi, Pim de Haan, Tim R. Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco S. Cohen:
Explorations in Homeomorphic Variational Auto-Encoding. - Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell:
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. - Paulo R. A. Campos, José F. Fontanari:
Predictability of the imitative learning trajectories. - Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei:
Avoiding Latent Variable Collapse With Generative Skip Models. - Shyam Narayanan:
Pairwise Independent Random Walks can be Slightly Unbounded. - Martin Tegner, Benjamin Bloem-Reddy, Stephen J. Roberts:
Sequential sampling of Gaussian process latent variable models. - Wouter Cames van Batenburg, Tony Huynh, Gwenaël Joret, Jean-Florent Raymond:
A tight Erdős-Pósa function for planar minors. - Zhangyu Xiao, Zhijian Ou, Wei Chu, Hui Lin:
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units. - Stanislaw Jastrzebski, Zachary Kenton, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos J. Storkey:
DNN's Sharpest Directions Along the SGD Trajectory. - Daniel Sigalov, Aharon Gal, Boaz Vigdor:
On Universal Sensor Registration. - Kouichi Ikeno, Satoshi Hara:
Maximizing Invariant Data Perturbation with Stochastic Optimization. - Kasra Yazdani, Austin Jones, Kevin Leahy, Matthew T. Hale:
Differentially Private LQ Control. - Ramses Sala, Niccolò Baldanzini, Marco Pierini:
Global optimization test problems based on random field composition. - Asger Kjærulff Jensen, Péter Vrana:
The asymptotic spectrum of LOCC transformations. - Juan Pablo Vigneaux:
A combinatorial interpretation for Tsallis 2-entropy. - Young-Pil Choi, Dante Kalise, Jan Peszek, Andrés A. Peters:
A collisionless singular Cucker-Smale model with decentralized formation control. - Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt:
Model Reconstruction from Model Explanations. - Shing Chan, Ahmed H. Elsheikh:
Parametric generation of conditional geological realizations using generative neural networks. - Andris Ambainis, Kaspars Balodis, Janis Iraids, Martins Kokainis, Krisjanis Prusis, Jevgenijs Vihrovs:
Quantum Speedups for Exponential-Time Dynamic Programming Algorithms. - German Ignacio Parisi, Jonathan Tong, Pablo V. A. Barros, Brigitte Röder, Stefan Wermter
Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception. - Huazhong Lü, Tingzeng Wu
Super edge-connectivity and matching preclusion of data center networks. - Naoya Chikano, Kazuyoshi Yoshimi, Junya Otsuki, Hiroshi Shinaoka:
irbasis: Open-source database and software for intermediate-representation basis functions of imaginary-time Green's function. - Patricia Johann, Andrew Polonsky:
On local presentability of T/A. - Akira Ishii, Toshimichi Wakabayashi, Nozomi Okano, Yasuko Kawahata:
Analysis of social media content and search behavior related to seasonal topics using the sociophysics approach. - Andrew Jesson, Cécile Low-Kam, Florian Soudan, Nicolas Chapados:
Adversarially Learned Mixture Model. - Li Xia, Zhe George Zhang, Quan-Lin Li, Peter W. Glynn:
A c/μ-Rule for Service Resource Allocation in Group-Server Queues. - Peng Zheng, Travis Askham, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin:
Sparse Relaxed Regularized Regression: SR3. - Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou:
Sparse sum-of-squares (SOS) optimization: A bridge between DSOS/SDSOS and SOS optimization for sparse polynomials. - Xin-Zeng Wu, Peter G. Fennell, Allon G. Percus, Kristina Lerman:
Degree Correlations Amplify the Growth of Cascades in Networks. - Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors. - Evan Schwab, Benjamin D. Haeffele, Nicolas Charon, René Vidal:
Separable Dictionary Learning with Global Optimality and Applications to Diffusion MRI. - Protik Das, Mohammad Mohammadi, Timur Bazhirov:
Accessible computational materials design with high fidelity and high throughput. - Anurag Anshu, Mario Berta
Partially smoothed information measures. - Shuo Wan, Jiaxun Lu, Pingyi Fan, Khaled Ben Letaief:
Minor probability events detection in big data: An integrated approach with Bayesian testing and MIM. - Viet-Cuong Ta, Trung-Kien Dao, Dominique Vaufreydaz
Smartphone-based user positioning in a multiple-user context with Wi-Fi and Bluetooth. - Çagatay Yildiz, Markus Heinonen, Jukka Intosalmi, Henrik Mannerström, Harri Lähdesmäki:
Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching. - Changxi Li, Fenghua He, Hongsheng Qi, Daizhan Cheng:
Potential Games Design Using Local Information. - Pier Francesco Procacci, Tomaso Aste:
Forecasting market states. - (Withdrawn) Methods of nonlinear dynamics and the construction of cryptocurrency crisis phenomena precursors.
- Milad Nasr, Reza Shokri, Amir Houmansadr:
Machine Learning with Membership Privacy using Adversarial Regularization. - Lukas Sobisek, Mária Stachová, Jan Fojtik:
Novel Feature-Based Clustering of Micro-Panel Data (CluMP). - Shantanav Chakraborty
Finding a marked node on any graph by continuous time quantum walk. - Ali Dorostkar, Thomas Schneider:
Faster than Nyquist Transmission by Non-Orthogonal Time Division Multiplexing of Nyquist Sinc Sequences. - Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort:
A deep learning architecture to detect events in EEG signals during sleep. - Seong Ki Yoo, Simon L. Cotton, Paschalis C. Sofotasios, Sami Muhaidat, Osamah S. Badarneh, George K. Karagiannidis:
Entropy and Energy Detection-based Spectrum Sensing over F Composite Fading Channels. - Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley:
Quickest Detection of Dynamic Events in Networks. - Ruggiero Santeramo
Longitudinal detection of radiological abnormalities with time-modulated LSTM. - Ghajendran Poovanandran, Adrian Atanasiu, Wen Chean Teh:
Parikh Motivated Study on Repetitions in Words. - Michael C. Burkhart
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding. - Orestes Manzanilla-Salazar, Brunilde Sansò:
Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data. - Jaime Roquero Gimenez, Amirata Ghorbani, James Y. Zou:
Knockoffs for the mass: new feature importance statistics with false discovery guarantees. - Shalev Ben-David, Adam Bouland, Ankit Garg, Robin Kothari:
Classical lower bounds from quantum upper bounds. - Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco:
Learning with SGD and Random Features. - Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes:
Confidence Intervals for Testing Disparate Impact in Fair Learning. - Jan Vanek, Josef Michalek, Jan Zelinka, Josef Psutka:
A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures. - Yassine Hamoudi
Quantum Chebyshev's Inequality and Applications. - Ferheen Ayaz, Khaled M. Rabie, Bamidele Adebisi:
Analysis of Optimized Threshold with SLM based Blanking Non-Linearity for Impulsive Noise Reduction in Power Line Communication Systems. - Yannik Peeters, Arnoud V. den Boer, Michel Mandjes:
Continuous Assortment Optimization with Logit Choice Probabilities under Incomplete Information. - Salaheddin Alakkari, John Dingliana
An Acceleration Scheme for Memory Limited, Streaming PCA. - Iasson Karafyllis, Maria Kontorinaki, Miroslav Krstic:
Boundary-to-Displacement Asymptotic Gains for Wave Systems With Kelvin-Voigt Damping. - Leanne S. Whitmore, Anthe George, Corey M. Hudson:
Explicating feature contribution using Random Forest proximity distances. - Jingcheng Liu, Alistair Sinclair, Piyush Srivastava:
Fisher zeros and correlation decay in the Ising model. - Joshua Zahl:
Counting higher order tangencies for plane curves. - Davis Liang, Zhiheng Huang, Zachary C. Lipton:
Learning Noise-Invariant Representations for Robust Speech Recognition. - Hao Yu, Sen Yang, Shenghuo Zhu:
Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication. - Gilles Brassard, Luc Devroye, Claude Gravel:
Remote Sampling with Applications to General Entanglement Simulation. - Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara:
Item Recommendation with Variational Autoencoders and Heterogenous Priors. - Vladimir N. Salnikov, Aziz Hamdouni:
From modelling of systems with constraints to generalized geometry and back to numerics. - Leo L. Duan, Xia Wang, Rhonda D. Szczesniak:
Mixed-Stationary Gaussian Process for Flexible Non-Stationary Modeling of Spatial Outcomes. - Suwon Shon, Najim Dehak, Douglas A. Reynolds, James R. Glass:
MCE 2018: The 1st Multi-target Speaker Detection and Identification Challenge Evaluation (MCE) Plan, Dataset and Baseline System. - Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok:
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines. - Xiong Lyu, Mickaël Binois, Michael Ludkovski:
Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation. - Matt Barnes, Artur Dubrawski:
Dependency Leakage: Analysis and Scalable Estimators. - Markus Lohrey:
Knapsack in hyperbolic groups. - R. Sundara Rajan, Thomas Kalinowski, Sandi Klavzar, Hamid Mokhtar, T. M. Rajalaxmi:
Lower bounds for dilation, wirelength, and edge congestion of embedding graphs into hypercubes. - Stefan Feuerriegel, Helmut Prendinger:
News-based trading strategies. - Roberto I. Oliveira, Yuval Peres:
Random walks on graphs: new bounds on hitting, meeting, coalescing and returning. - Maria João Gouveia, Luigi Santocanale:
Mix ⋆-autonomous quantales and the continuous weak order. - Zakir Deniz, Vadim E. Levit, Eugen Mandrescu:
On graphs admitting two disjoint maximum independent sets. - Weisheng Dong, Zhangxi Yan, Xin Li, Guangming Shi:
Learning Hybrid Sparsity Prior for Image Restoration: Where Deep Learning Meets Sparse Coding. - Kenta Iida, Hitoshi Kiya:
Robust Image Identification for Double-Compressed JPEG Images. - Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh:
Cyclostationary Statistical Models and Algorithms for Anomaly Detection Using Multi-Modal Data. - Joichi Ito:
Emergent Democracy. - Robin Vogel, Aurélien Bellet, Stéphan Clémençon:
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization. - Russell C. Hardie, Redha A. Ali
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features. - Mahdi Mir:
Cruise Missile Target Trajectory Movement Prediction based on Optimal 3D Kalman Filter with Firefly Algorithm. - Stefano Balietti, Brennan Klein
Fast Model-Selection through Adapting Design of Experiments Maximizing Information Gain. - Wuchen Li, Guido Montúfar
Ricci curvature for parametric statistics via optimal transport. - Pavel Kharyuk, Dmitry Nazarenko, Ivan V. Oseledets:
Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants. - Ana Radovanovic, Tommaso Nesti, Bokan Chen:
A Holistic Approach to Forecasting Wholesale Energy Market Prices. - Erin Connelly, Charo I. Del Genio, Freya Harrison:
Datamining a medieval medical text reveals patterns in ingredient choice that reflect biological activity against the causative agents of specified infections. - Stephen Law, Brooks Paige, Chris Russell:
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices. - Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson:
Efficient Training on Very Large Corpora via Gramian Estimation. - Natalia da Silva, Dianne Cook, Eun-Kyung Lee:
A Projection Pursuit Forest Algorithm for Supervised Classification. - Sarah Cornell-Farrow, Robert Garrard:
A Machine Learning Approach for Detecting Students at Risk of Low Academic Achievement. - Abdurrahman Fouda, Ahmed S. Ibrahim
UAV-Based in-band Integrated Access and Backhaul for 5G Communications. - Abdolrahman Khoshrou, Eric J. Pauwels:
Quantifying Volatility Reduction in German Day-ahead Spot Market in the Period 2006 through 2016. - Yinan Qi, Tomasz Mach:
QoS and Coverage Aware Dynamic High Density Vehicle Platooning (HDVP). - Flavia Bonomo, María Pía Mazzoleni, Mariano Leonardo Rean, Bernard Ries:
On some special classes of contact B0-VPG graphs. - Hamid Reza Shahdoosti:
A New Noise-Assistant LMS Algorithm for Preventing the Stalling Effect. - Yaming Liu, Jian Tang, Yan Song, Lirong Dai:
A Capsule based Approach for Polyphonic Sound Event Detection. - Vineeth S. Bhaskara, Debanjan Bhattacharyya:
Emulating malware authors for proactive protection using GANs over a distributed image visualization of the dynamic file behavior. - Laurence Aitchison:
A unified theory of adaptive stochastic gradient descent as Bayesian filtering. - Christophe Giraud, Nicolas Verzelen:
Partial recovery bounds for clustering with the relaxed K-means. - Christopher Aicher, Emily B. Fox:
Approximate Collapsed Gibbs Clustering with Expectation Propagation. - Rojin Aslani, Mehdi Rasti:
Distributed Power Control Schemes for In-Band Full-Duplex Energy Harvesting Wireless Networks. - Stephan Ramon Garcia, Gizem Karaali, Daniel J. Katz:
On Chebotarëv's nonvanishing minors theorem and the Biró-Meshulam-Tao discrete uncertainty principle. - J. Bialopetravicius, D. Narbutis, V. Vansevicius:
Deriving star cluster parameters by convolutional neural networks. I. Age, mass, and size. - Aliasghar Mortazi, Ulas Bagci:
Automatically Designing CNN Architectures for Medical Image Segmentation. - Yair Rivenson, Tairan Liu, Zhensong Wei, Yibo Zhang, Aydogan Ozcan:
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning. - Marina Vinyes, Guillaume Obozinski:
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables. - Dongyang Ao, Corneliu Octavian Dumitru, Gottfried Schwarz, Mihai Datcu:
Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X. - Kuan Liu, Aurélien Bellet:
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds. - Dario Madeo, Chiara Mocenni:
Self-regulation promotes cooperation in social networks. - Hang Liu, Hengyu Li, Xiahua Liu, Jun Luo, Shaorong Xie, Yu Sun:
A Panoramic 3D Vision System from Multiple RGBD Sensors. - Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi:
The Deep Kernelized Autoencoder. - Julius von Kügelgen, Alexander Mey, Marco Loog:
Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features. - Pierre-Alexandre Balland, Cristian Jara-Figueroa, Sergio Petralia, Mathieu P. A. Steijn, David Rigby, César A. Hidalgo:
Complex Economic Activities Concentrate in Large Cities. - Nicholas J. Cavanna, Donald R. Sheehy:
The Generalized Persistent Nerve Theorem. - Frank Longueira, Sam Keene:
A Fully Convolutional Neural Network Approach to End-to-End Speech Enhancement. - Yuxiao Chen, Jianbo Yuan, Quanzeng You, Jiebo Luo:
Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM. - Minjeong Kim, David Keetae Park, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo:
Question-Aware Sentence Gating Networks for Question and Answering. - Arindam Chowdhury, Lovekesh Vig:
An Efficient End-to-End Neural Model for Handwritten Text Recognition. - Tru Hoang Cao, Khanh C. Le, Vuong M. Ngo:
Exploring Combinations of Ontological Features and Keywords for Text Retrieval. - Vuong M. Ngo, Tru Hoang Cao, Tuan M. V. Le:
Combining Named Entities with WordNet and Using Query-Oriented Spreading Activation for Semantic Text Search. - Sharat Chidambaran, Amir Behjat, Souma Chowdhury:
Multi-criteria Evolution of Neural Network Topologies: Balancing Experience and Performance in Autonomous Systems. - Aaron J. Schwartz, Peter Sheridan Dodds, Jarlath P. M. O'Neil-Dunne, Christopher M. Danforth, Taylor H. Ricketts:
Exposure to urban parks improves affect and reduces negativity on Twitter. - John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. - Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness:
Knowledge Integration for Disease Characterization: A Breast Cancer Example. - Cem Tarhan, Gozde Bozdagi Akar:
Convolutional Neural Networks Analyzed via Inverse Problem Theory and Sparse Representations. - Chandra Khatri, Gyanit Singh, Nish Parikh:
Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks. - Flavio Toffalini, Andrea Biondo, Eleonora Losiouk, Jianying Zhou, Mauro Conti:
SCARR: A Novel Scalable Runtime Remote Attestation. - Loris Nanni, Alessandra Lumini, Stefano Ghidoni:
Ensemble of Deep Learned Features for Melanoma Classification. - Dariusz Dereniowski, Wieslaw Kubiak:
Shared Processor Scheduling of Multiprocessor Jobs. - Patrícia Monteiro, João Lourenço, António Ravara:
Uma análise comparativa de ferramentas de análise estática para deteção de erros de memória. - Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud:
Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. - Dakshil Shah, Varshali Kumar:
TCP SYN Cookie Vulnerability. - Xiaobin Xiong, Aaron D. Ames:
Bipedal Hopping: Reduced-order Model Embedding via Optimization-based Control. - Haoyang Fan, Fan Zhu, Changchun Liu, Liangliang Zhang, Li Zhuang, Dong Li, Weicheng Zhu, Jiangtao Hu, Hongye Li, Qi Kong:
Baidu Apollo EM Motion Planner. - Sougata Bose, Anca Muscholl, Vincent Penelle, Gabriele Puppis
Origin-equivalence of two-way word transducers is in PSPACE. - Piyamate Wisanuvej, Petros Giataganas, Paul Riordan, Jean Nehme, Danail Stoyanov:
Affordable Mobile-based Simulator for Robotic Surgery. - Gil Lederman, Markus N. Rabe, Sanjit A. Seshia:
Learning Heuristics for Automated Reasoning through Deep Reinforcement Learning. - Arushi Jain, Khimya Khetarpal, Doina Precup:
Safe Option-Critic: Learning Safety in the Option-Critic Architecture. - Surya Kallumadi, Bhaskar Mitra, Tereza Iofciu:
A Line in the Sand: Recommendation or Ad-hoc Retrieval? - Matthew P. Johnson:
Red-Blue-Partitioned MST, TSP, and Matching. - Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang:
S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks. - Trinh Van Chien, Christopher Mollén, Emil Björnson:
Large-Scale-Fading Decoding in Cellular Massive MIMO Systems with Spatially Correlated Channels. - Stephanie M. Lukin
ScoutBot: A Dialogue System for Collaborative Navigation. - Stephanie M. Lukin
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue. - Stephanie M. Lukin
A Pipeline for Creative Visual Storytelling. - Chenglin Fan, Benjamin Raichel, Gregory Van Buskirk:
Metric Violation Distance: Revisited and Extended. - Diego F. G. Coelho, Renato J. Cintra, Alejandro C. Frery, Vassil S. Dimitrov:
Fast Matrix Inversion and Determinant Computation for Polarimetric Synthetic Aperture Radar. - Shenghe Xu, Pei Liu, Sanjay Goyal, Shivendra S. Panwar:
Capacity Analysis for Full Duplex Self-backhauled Small Cells. - Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro:
Learning Optimal Resource Allocations in Wireless Systems. - Yi-Chen Chen, Sung-Feng Huang, Chia-Hao Shen, Hung-yi Lee, Lin-Shan Lee:
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval. - Karthik S. Gurumoorthy, Amit Dhurandhar:
Streaming Methods for Restricted Strongly Convex Functions with Applications to Prototype Selection. - Eric Wu, Kevin Wu, David D. Cox, William Lotter:
Conditional Infilling GANs for Data Augmentation in Mammogram Classification. - Xiaqing Ding, Yue Wang, Huan Yin, Li Tang, Rong Xiong:
Multi-session Map Construction in Outdoor Dynamic Environment. - Ehsan Nadjaran Toosi, Adel Nadjaran Toosi, Reza Godaz, Rajkumar Buyya:
Integrated IoT and Cloud Environment for Fingerprint Recognition. - Yanlong Wang, Xuemin Yu, Xu Liang:
Design and Implementation of Global Path Planning System for Unmanned Surface Vehicle among Multiple Task Points. - Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang, Ying Tai:
Person Search via A Mask-Guided Two-Stream CNN Model. - (Withdrawn) Simultaneous Adversarial Training - Learn from Others Mistakes.
- Mirko Leomanni, Andrea Garulli, Antonio Giannitrapani, Fabrizio Scortecci:
An Adaptive Groundtrack Maintenance Scheme for Spacecraft with Electric Propulsion. - Yanhui Guo, Amira S. Ashour:
Multiple Convolutional Neural Network for Skin Dermoscopic Image Classification. - Paul-André Melliès, Léo Stefanesco:
An Asynchronous soundness theorem for concurrent separation logic. - Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Mérouane Debbah:
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications. - John D. Kelleher, Simon Dobnik:
What is not where: the challenge of integrating spatial representations into deep learning architectures. - Benyuan Sun, Zhen Zhou, Fandong Zhang, Xiuli Li, Yizhou Wang:
Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion. - Andreas Grüner, Alexander Mühle, Christoph Meinel:
On the Relevance of Blockchain in Identity Management. - Soonho Kong, Armando Solar-Lezama, Sicun Gao:
Delta-Decision Procedures for Exists-Forall Problems over the Reals. - Anush Hakobyan, Vahan Mkrtchyan:
S12 and P12-colorings of cubic graphs. - Arsalan Sharif-Nassab, John N. Tsitsiklis, S. Jamaloddin Golestani:
Sensitivity to Cumulative Perturbations for a Class of Piecewise Constant Hybrid Systems. - Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian:
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks. - Tom Robert Vince Steentjes, Mircea Lazar, Paul M. J. Van den Hof:
A recursive estimation approach to distributed identification of large-scale multi-input-single-output FIR systems. - Guy Barshap:
{\em Crypto-Battleships} or How to play Battleships game over the Blockchain? - Hui Jiang, Qimei Cui, Yu Gu, Xiaoqi Qin, Xuefei Zhang, Xiaofeng Tao:
Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC. - Anupam Gupta, Euiwoong Lee, Jason Li:
Faster Exact and Approximate Algorithms for k-Cut. - Bowen Cai, Yu Chen, Qimei Cui, Xiaoxuan Zhu, Yang Yang:
Accurate Energy-Efficient Power Control for Uplink NOMA Systems under Delay Constraint. - Linlin Zou, Yanzhao Hou, Xiaofeng Tao, Qimei Cui, Xueqing Huang:
Energy-Efficient Adaptive Transmission in Machine Type Communications with Delay-Outage Constraints. - Daniel S. Katz, Neil P. Chue Hong:
Software Citation in Theory and Practice. - Roberto Pirrone, Vincenzo Cannella, Sergio Monteleone, Gabriella Giordano:
Linear density-based clustering with a discrete density model. - Romildo M. S. Bezerra, Flavia M. S. Nascimento, Joberto S. B. Martins
On Computational Infraestruture Requirements to Smart and Autonomic Cities Framework. - Matiur Rahman Minar, Jibon Naher:
Recent Advances in Deep Learning: An Overview. - Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri:
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction. - Bo Fu, Xiao-Yang Zhao, Yi Li, Xiang-Hai Wang, Yong-Gong Ren:
A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise. - Ankush Gupta, Andrea Vedaldi, Andrew Zisserman:
Inductive Visual Localisation: Factorised Training for Superior Generalisation. - Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen:
Decouple Learning for Parameterized Image Operators. - Ali Alkhatib, Justin Cranshaw, Andrés Monroy-Hernández:
Laying the Groundwork for a Worker-Centric Peer Economy. - Tom Schmiedlechner, Abdullah Al-Dujaili, Erik Hemberg, Una-May O'Reilly:
Towards Distributed Coevolutionary GANs. - Bo Xing, Tshilidzi Marwala:
Creativity and Artificial Intelligence: A Digital Art Perspective. - Corto Mascle, Daniel Neider, Maximilian Schwenger, Paulo Tabuada, Alexander Weinert, Martin Zimmermann:
From LTL to rLTL Monitoring: Improved Monitorability through Robust Semantics. - Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel:
Towards Neural Theorem Proving at Scale. - Mingda Zhang, Rebecca Hwa, Adriana Kovashka:
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text. - Humphrey Sheil, Omer F. Rana, Ronan Reilly:
Predicting purchasing intent: Automatic Feature Learning using Recurrent Neural Networks. - Nicholas J. Cavanna, Donald R. Sheehy:
Adaptive Metrics for Adaptive Samples. - Basel Alghanem, Keerthana P. G.:
Asynchronous Advantage Actor-Critic Agent for Starcraft II. - Weidong Mei, Qingqing Wu, Rui Zhang:
Cellular-Connected UAV: Uplink Association, Power Control and Interference Coordination. - Haipeng Cai:
Longitudinal Characterization and Sustainable Classification of Android Apps via SAD Profiles. - Yuanhang Su, Ruiyuan Lin, C.-C. Jay Kuo:
On Tree-structured Multi-stage Principal Component Analysis (TMPCA) for Text Classification. - Luke Burks, Ian Loefgren, Nisar R. Ahmed:
Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach. - Alina Maria Ciobanu, Shervin Malmasi, Liviu P. Dinu:
German Dialect Identification Using Classifier Ensembles. - Surya Dantuluri:
Rapid Autonomous Car Control based on Spatial and Temporal Visual Cues. - Suzhi Bi, Jiangbin Lyu, Zhi Ding, Rui Zhang:
Engineering Radio Map for Wireless Resource Management. - Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. - Malik Aqeel Anwar
NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images. - Martin Hofmann, Georg Moser:
Analysis of Logarithmic Amortised Complexity. - M. D. Muhaimin Rahman, S. M. Hasanur Rashid, K. M. Rafidh Hassan, M. M. Hossain:
Comparison of Different Control Theories on a Two Wheeled Self Balancing Robot. - Konstantinos Koiliaris, Chao Xu:
Subset Sum Made Simple. - Martin Bichler, Stefan Waldherr:
Competitive Equilibria in Combinatorial Exchanges with Financially Constrained Buyers: Computational Hardness and Algorithmic Solutions. - Minjie Cai, Kris M. Kitani, Yoichi Sato:
Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes. - Mohammad Tavakolian, Abdenour Hadid:
Deep Discriminative Model for Video Classification. - Yawei Luo, Zhedong Zheng, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang:
Macro-Micro Adversarial Network for Human Parsing. - Neeraj Mumbuveetil Sasankan:
Mutual Influences in Interwoven Systems and their detection in the context of Organic Computing. - Arie Kouwen, Mark Scanlon, Kim-Kwang Raymond Choo, Nhien-An Le-Khac:
Digital forensic investigation of two-way radio communication equipment and services. - Quan Le, Oisín Boydell, Brian Mac Namee, Mark Scanlon:
Deep learning at the shallow end: Malware classification for non-domain experts. - Florin Stoica, Laura Florentina Stoica:
Generating an ATL Model Checker using an Attribute Grammar. - Daniel Gutiérrez-Gómez, José Jesús Guerrero:
RGBiD-SLAM for Accurate Real-time Localisation and 3D Mapping. - M. D. Muhaimin Rahman, S. M. Hasanur Rashid, M. M. Hossain:
Implementation of Q Learning and Deep Q Network For Controlling a Self Balancing Robot Model. - James Cunningham, Anita Hapsari, Pierre Guilleminot, Ali Shafti, A. Aldo Faisal:
The Supernumerary Robotic 3rd Thumb for Skilled Music Tasks. - Mireia Ruiz Maymo, Ali Shafti, A. Aldo Faisal:
FastOrient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping. - Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Multi-scale Alignment and Contextual History for Attention Mechanism in Sequence-to-sequence Model. - Chao Yan, Hui-Min Cheng, Xin Liu, Zhongyuan Zhang:
Joint Nonnegative Matrix Factorization for Community Structures Detection in Signed Networks. - Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. - Daniel S. Roche:
What Can (and Can't) we Do with Sparse Polynomials? - Novanto Yudistira, Takio Kurita:
Correlation Net : spatio temporal multimodal deep learning. - Erika M. M. Coelho, Hebert Coelho, Julliano R. Nascimento, Jayme Luiz Szwarcfiter:
On the Geodetic Hull Number of Complementary Prisms. - Borislav Penev:
Analysis of the possibility for time-optimal control of the scanning system of the GREEN-WAKE's project lidar. - Pascal Laube, Matthias O. Franz, Georg Umlauf:
Deep Learning Parametrization for B-Spline Curve Approximation. - Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues:
Hardware-Limited Task-Based Quantization. - Nikhilesh Sharma, Nicholas Mastronarde, Jacob Chakareski:
Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors. - Zaid Tahir, Ahmed Hussain Qureshi, Yasar Ayaz, Raheel Nawaz:
Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments. - Graham Cormode, Jacques Dark, Christian Konrad:
Independent Sets in Vertex-Arrival Streams. - Katherine M. Li, Evelyn C. Li:
Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks. - Zheng Shou, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, Shih-Fu Chang:
AutoLoc: Weakly-supervised Temporal Action Localization. - Jans Glagolevs, Karlis Freivalds:
A Statistical Method for Object Counting. - Alexander Kott, Philip Perconti:
Long-Term Forecasts of Military Technologies for a 20-30 Year Horizon: An Empirical Assessment of Accuracy. - Hao Tian, Changbo Wang, Dinesh Manocha, Xinyu Zhang:
Learning Grasp Configurations for Novel Objects from Prior Examples. - Eduardo M. Hargreaves, Claudio Agosti, Daniel S. Menasché, Giovanni Neglia, Alexandre Reiffers-Masson, Eitan Altman:
Biases in the Facebook News Feed: a Case Study on the Italian Elections. - Aron Szanto, Timothy Tamm, Artidoro Pagnoni:
Taint Tracking for WebAssembly. - Guillermo J. Laguna, Sourabh Bhattacharya:
Tracking Mobile Intruders in an Art Gallery: Guard Deployment Strategies, Fundamental Limitations, and Performance Guarantees. - Guillermo J. Laguna, Sourabh Bhattacharya:
Adaptive Target Tracking with a Mixed Team of Static and Mobile Guards: Deployment and Activation Strategies. - Lijun Yu, Dawei Zhang, Xiangqun Chen, Xing Xie:
MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage between Teams in MOBA Games. - James R. Foulds, Shimei Pan:
An Intersectional Definition of Fairness. - Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. - Baran Baris Kivilcim, Itir Önal Ertugrul, Fatos T. Yarman-Vural:
Modeling Brain Networks with Artificial Neural Networks. - Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung:
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. - Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Ian Horrocks, Huajun Chen:
Knowledge-based Transfer Learning Explanation. - Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle I. Torvik, Matthew Schnaars, Chengzhi Zhang:
Examining Scientific Writing Styles from the Perspective of Linguistic Complexity. - Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin:
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study. - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. - Markus D. Foote
Real-Time Patient-Specific Lung Radiotherapy Targeting using Deep Learning. - Lei Bi, Dagan Feng, Jinman Kim:
Improving Automatic Skin Lesion Segmentation using Adversarial Learning based Data Augmentation. - Trent Houliston
Visual Mesh: Real-time Object Detection Using Constant Sample Density. - Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li:
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd. - Jiangtian Nie, Jun Luo, Zehui Xiong, Dusit Niyato, Ping Wang:
A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing. - Wenshuo Wang, Aditya Ramesh, Ding Zhao
Clustering of Driving Scenarios Using Connected Vehicle Datasets. - Minjia Shi, Patrick Solé:
The largest number of weights in cyclic codes. - Yuli Zhang, Yuhua Xu, Alagan Anpalagan, Qihui Wu, Yitao Xu, Youming Sun, Shuo Feng, Yunpeng Luo:
Context-aware Group Buying in Ultra-dense Small Cell Networks: Unity is Strength. - Dileep Kini, Umang Mathur, Mahesh Viswanathan:
Data Race Detection on Compressed Traces. - Kang Dang, Chunluan Zhou, Zhigang Tu, Michael Hoy, Justin Dauwels, Junsong Yuan:
Actor-Action Semantic Segmentation with Region Masks. - Vasileios Vasilopoulos, Daniel E. Koditschek:
Technical Report: Reactive Navigation in Partially Known Non-Convex Environments. - Prakruthi Prabhakar, Nitish Kulkarni, Linghao Zhang:
Question Relevance in Visual Question Answering. - Ibrahim Jubran, Dan Feldman:
Minimizing Sum of Non-Convex but Piecewise log-Lipschitz Functions using Coresets. - Rakshit Trivedi, Bunyamin Sisman, Jun Ma
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. - Somnuk Phon-Amnuaisuk:
Learning to Play Pong using Policy Gradient Learning. - Yusuke Kawamoto, Takao Murakami:
On the Anonymization of Differentially Private Location Obfuscation. - Qiang Zhu, Xixiang Lv:
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem. - Oksana M. Markova:
Models of using cloud technologies at the IT professionals training. - Wei Emma Zhang, Quan Z. Sheng, Schahram Dustdar:
A Cache-based Optimizer for Querying Enhanced Knowledge Bases. - Thomas Bellitto, Benjamin Bergougnoux:
On Minimum Connecting Transition Sets in Graphs. - Philipp Blandfort, Desmond Patton, William R. Frey, Svebor Karaman, Surabhi Bhargava, Fei-Tzin Lee, Siddharth Varia, Chris Kedzie, Michael B. Gaskell, Rossano Schifanella, Kathleen R. McKeown, Shih-Fu Chang:
Multimodal Social Media Analysis for Gang Violence Prevention. - Themos Stafylakis, Georgios Tzimiropoulos:
Zero-shot keyword spotting for visual speech recognition in-the-wild. - Hengliang Zhu, Yangyang Hao, Lizhuang Ma, Ruixing Li, Hua Wang:
Deep attention-guided fusion network for lesion segmentation. - Yang Deng, Yao Sun, Yongpei Zhu, Shuo Zhang, Mingwang Zhu, Kehong Yuan:
DASN: Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation. - Hui Zhao, Na Lei, Xuan Li, Peng Zeng, Ke Xu, Xianfeng Gu:
Robust Edge-Preserved Surface Mesh Polycube Deformation. - Marco G. P. van Veller:
Identification of multidisciplinary research based upon dissimilarity analysis of journals included in reference lists of Wageningen University & Research articles. - Alexandr Andoni, Lior Kamma, Robert Krauthgamer, Eric Price:
Batch Sparse Recovery, or How to Leverage the Average Sparsity. - Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representation. - Luis Roldao, Raoul de Charette, Anne Verroust-Blondet:
A Statistical Update of Grid Representations from Range Sensors. - Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang:
AceKG: A Large-scale Knowledge Graph for Academic Data Mining. - Kripasindhu Sarkar, Basavaraj Hampiholi, Kiran Varanasi, Didier Stricker:
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks. - Hui Zhao, Xuan Li, Huabin Ge, Xianfeng Gu, Na Lei:
Conformal Mesh Parameterization Using Discrete Calabi Flow. - Lukás Holík, Ondrej Lengál, Juraj Síc, Margus Veanes, Tomás Vojnar:
Simulation Algorithms for Symbolic Automata (Technical Report). - Yutong Xie, Jianpeng Zhang, Yong Xia:
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images. - Athanasios Kehagias:
Generalized Cops and Robbers: A Multi-Player Pursuit Game on Graphs. - Tomer Galanti, Sagie Benaim, Lior Wolf:
Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs. - Mikolaj Bojanczyk, Laure Daviaud, Bruno Guillon, Vincent Penelle, A. V. Sreejith:
Undecidability of MSO+"ultimately periodic". - Alessandro Calefati, Muhammad Kamran Janjua, Shah Nawaz, Ignazio Gallo:
Git Loss for Deep Face Recognition. - Mark Collier, Jöran Beel:
Implementing Neural Turing Machines. - Sergey Rodionov, Alexey Potapov, Hugo Latapie, Enzo Fenoglio, Maxim Peterson:
Improving Deep Models of Person Re-identification for Cross-Dataset Usage. - Youngjoo Kim, Hyochoong Bang:
Multisensor Management Algorithm for Airborne Sensors Using Frank-Wolfe Method. - Baha Eddine Youcef Belmekki
Performance Analysis of Cooperative Communications at Road Intersections Using Stochastic Geometry Tools. - Bin Liu:
Particle Filtering Methods for Stochastic Optimization with Application to Large-Scale Empirical Risk Minimization. - Minjun Li, Haozhi Huang, Lin Ma, Wei Liu, Tong Zhang, Yu-Gang Jiang:
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks. - Yossi Azar, Ashish Chiplunkar, Shay Kutten, Noam Touitou:
Set Cover and Vertex Cover with Delay. - Francis Lawlor, Rem W. Collier, Vivek Nallur:
Towards a Programmable Framework for Agent Game Playing. - Paul L. Borrill, Mark Burgess, Alan H. Karp, Atsushi Kasuya:
Spacetime-Entangled Networks (I) Relativity and Observability of Stepwise Consensus. - Gustav Bredell, Christine Tanner, Ender Konukoglu:
Iterative Interaction Training for Segmentation Editing Networks. - Ronghang Hu, Jacob Andreas, Trevor Darrell, Kate Saenko:
Explainable Neural Computation via Stack Neural Module Networks. - Olena G. Glazunova, Mariya Shyshkina:
The Concept, Principles of Design and Implementation of the University Cloud-based Learning and Research Environment. - Mariya Shyshkina:
The Problems of Personnel Training for STEM Education in the Modern Innovative Learning and Research Environment. - Kaixuan Wang, Shaojie Shen:
MVDepthNet: Real-time Multiview Depth Estimation Neural Network. - Shiqi Dong, Ru Zhang, Jianyi Liu:
Invisible Steganography via Generative Adversarial Network. - Sultan Alam, Satyajit Thakor, Syed Abbas:
On Enumerating Distributions for Associated Vectors in the Entropy Space. - Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski:
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. - Patrick Rein, Stefan Ramson, Jens Lincke, Robert Hirschfeld, Tobias Pape:
Exploratory and Live, Programming and Coding: A Literature Study Comparing Perspectives on Liveness. - Xin Han, Liang Zhao, Zhishan Guo, Xingwu Liu:
An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling. - Xu Lan, Xiatian Zhu, Shaogang Gong:
Person Search by Multi-Scale Matching. - Manuel Schmuck, Luca Benini, Abbas Rahimi:
Hardware Optimizations of Dense Binary Hyperdimensional Computing: Rematerialization of Hypervectors, Binarized Bundling, and Combinational Associative Memory. - Nicolas Gast, Diego Latella, Mieke Massink:
A refined mean field approximation of synchronous discrete-time population models. - Shane Carroll, Wei-Ming Ling:
A Queuing Model for CPU Functional Unit and Issue Queue Configuration. - Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos:
Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations. - Simon Foster
Automating Verification of State Machines with Reactive Designs and Isabelle/UTP. - Susanne Bradley:
Ideal Preconditioners for Saddle Point Systems with a Rank-Deficient Leading Block. - Te Zhang, Zhaohong Deng, Dongrui Wu, Shitong Wang:
Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views. - Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu:
Recent Advances in Convolutional Neural Network Acceleration. - Pawel Mlynarski, Hervé Delingette, Antonio Criminisi, Nicholas Ayache:
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context. - Gerda Bortsova, Florian Dubost, Silas N. Ørting, Ioannis Katramados, Laurens Hogeweg, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
Deep Learning from Label Proportions for Emphysema Quantification. - Song Fang, Hideaki Ishii, Jie Chen, Karl Henrik Johansson:
A Frequency-Domain Characterization of Optimal Error Covariance for the Kalman-Bucy Filter. - Pawel Dlotko:
Computational and applied topology, tutorial. - Cagla Ozyilmaz, Ayse Nalli:
Restructuring of Discrete Logarithm Problem and ElGamal Cryptosystem by Using the Power Fibonacci Sequence Module M. - Md. Ishaquddin, S. Gopalakrishnan:
Differential quadrature element for second strain gradient beam theory. - Zhengyu Zhao, Martha A. Larson:
From Volcano to Toyshop: Adaptive Discriminative Region Discovery for Scene Recognition. - Md. Ishaquddin, S. Gopalakrishnan:
Novel weak form quadrature elements for second strain gradient Euler-Bernoulli beam theory. - Bastian Prasse, Piet Van Mieghem:
Maximum-Likelihood Network Reconstruction for SIS Processes is NP-Hard. - Weixun Zhou, Xueqing Deng, Zhenfeng Shao:
Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval. - Alberto Antonioni, Luis A. Martinez-Vaquero, Cole Mathis, Leto Peel, Massimo Stella:
Individual perception dynamics in drunk games. - Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy:
Auto-adaptive Resonance Equalization using Dilated Residual Networks. - Xingyu Chen, Zhengxing Wu, Junzhi Yu:
Dual Refinement Network for Single-Shot Object Detection. - Huda Chuangpishit, Konstantinos Georgiou, Preeti Sharma:
Average Case - Worst Case Tradeoffs for Evacuating 2 Robots from the Disk in the Face-to-Face Model. - James A. Liu:
Atomic Swaptions: Cryptocurrency Derivatives. - Borna Kananian, Mohammad Ali Maddah-Ali, Babak Hossein Khalaj:
K-User Interference Channel with Backhaul Cooperation: DoF vs. Backhaul Load Trade-Off. - Muris Sarajlic, Liang Liu, Fredrik Rusek, Farhana Sheikh, Ove Edfors:
Impact of Relay Cooperation on the Performance of Large-scale Multipair Two-way Relay Networks. - Albert Mestres, Eduard Alarcón, Yusheng Ji, Albert Cabellos-Aparicio:
Understanding the Modeling of Computer Network Delays using Neural Networks. - Evan F. Bollig, James C. Wilgenbusch:
From Bare Metal to Virtual: Lessons Learned when a Supercomputing Institute Deploys its First Cloud. - Aki Nikolaidis:
Training Humans and Machines. - Evan F. Bollig, Graham T. Allan, Benjamin J. Lynch, Yectli A. Huerta, Mathew Mix, Edward A. Munsell, Raychel M. Benson, Brent Swartz:
Leveraging OpenStack and Ceph for a Controlled-Access Data Cloud. - Sean L. Barton, Nicholas R. Waytowich, Erin G. Zaroukian, Derrik E. Asher:
Measuring collaborative emergent behavior in multi-agent reinforcement learning. - Raghav Menon, Herman Kamper, Emre Yilmaz, John A. Quinn, Thomas Niesler:
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages. - Shihao Wang, Kris Hauser:
Unified Multi-Contact Fall Mitigation Planning for Humanoids via Contact Transition Tree Optimization. - Raghav Menon, Astik Biswas, Armin Saeb, John A. Quinn, Thomas Niesler:
Automatic Speech Recognition for Humanitarian Applications in Somali. - Mehrdad Tahmasbi, Matthieu R. Bloch, Aylin Yener:
Learning an Adversary's Actions for Secret Communication. - Chandra Chekuri, Kent Quanrud:
Submodular Function Maximization in Parallel via the Multilinear Relaxation. - Benedetto Lepori, Mike Thelwall, Bareerah Hafeez Hoorani:
Which US and European Higher Education Institutions are visible in ResearchGate and what affects their RG Score? - Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. - Guanying Chen, Kai Han, Kwan-Yee K. Wong:
PS-FCN: A Flexible Learning Framework for Photometric Stereo. - Kevin Buchin, Tim Ophelders, Bettina Speckmann:
SETH Says: Weak Fréchet Distance is Faster, but only if it is Continuous and in One Dimension. - Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Measuring the Impact of Spectre and Meltdown. - Jasper van der Waa, Jurriaan van Diggelen, Karel van den Bosch, Mark A. Neerincx:
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences. - Kaiyuan Wang, Allison Sullivan, Darko Marinov, Sarfraz Khurshid:
Fault Localization for Declarative Models in Alloy. - Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger:
The Vadalog System: Datalog-based Reasoning for Knowledge Graphs. - David Darais, David Van Horn:
Constructive Galois Connections. - Luigi Bellomarini, Ruslan R. Fayzrakhmanov, Georg Gottlob, Andrey Kravchenko, Eleonora Laurenza, Yavor Nenov, Stéphane Reissfelder, Emanuel Sallinger, Evgeny Sherkhonov, Lianlong Wu:
Data Science with Vadalog: Bridging Machine Learning and Reasoning. - Mahdi Nazemi, Ghasem Pasandi, Massoud Pedram:
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference. - Mariya Shyshkina:
Holistic Approach to Training of ICT Skilled Educational Personnel. - Yueyue Dai, Du Xu, Sabita Maharjan, Yan Zhang:
Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks. - Quanming Yao:
Scalable Tensor Completion with Nonconvex Regularization. - Krzysztof Nowicki:
Random Sampling Applied to the MST Problem in the Node Congested Clique Model. - Yuliya Nosenko, Mariya Shyshkina, Vasyl Oleksiuk:
Collaboration between Research Institutions and University Sector Using Cloud-based Environment. - Kota Kakiuchi, Fujio Toriumi, Masanori Takano, Kazuya Wada, Ichiro Fukuda:
Influence of Selective Exposure to Viewing Contents Diversity. - Krzysztof Onak:
Round Compression for Parallel Graph Algorithms in Strongly Sublinear Space. - Yajie Zhao, Weikai Chen, Jun Xing, Xiaoming Li, Zach Bessinger, Fuchang Liu, Wangmeng Zuo, Ruigang Yang:
Identity Preserving Face Completion for Large Ocular Region Occlusion. - Charlie Hewitt, Hatice Gunes:
CNN-based Facial Affect Analysis on Mobile Devices. - Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, Federico Tombari:
Peeking Behind Objects: Layered Depth Prediction from a Single Image. - Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla, John M. Galeotti:
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images. - Armin Mehrabian, Yousra Al-Kabani, Volker J. Sorger, Tarek A. El-Ghazawi:
PCNNA: A Photonic Convolutional Neural Network Accelerator. - Mohammad Masudur Rahman, Chanchal K. Roy:
Effective Reformulation of Query for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics. - Ha Nguyen Tran, Erik Cambria:
GPU-based Commonsense Paradigms Reasoning for Real-Time Query Answering and Multimodal Analysis. - Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun:
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. - Qi Luo, Kevin Moran, Denys Poshyvanyk, Massimiliano Di Penta:
Assessing Test Case Prioritization on Real Faults and Mutants. - Udit Agarwal, Vijaya Ramachandran:
A Faster Deterministic Distributed Algorithm for Weighted APSP Through Pipelining. - Denali Molitor, Deanna Needell:
Hierarchical Classification using Binary Data. - Ziyi Wang, Yong Cui, Zeqi Lai:
A First Look at Mobile Intelligence: Architecture, Experimentation and Challenges. - Muhammad Naeem, Mehdi Katranji, Guilhem Sanmarty, Sami Kraiem, Mahdi Zargayouna, Fouad Hadj-Selem:
Estimation of Time Delay caused by Point Geometry in Public Transport. - Arezo Bodaghi, Didi Surian:
Characterizing health informatics journals by subject-level dependencies: a citation network analysis. - Adrien Motsch, Sébastien Motsch, Thibaut Saguet:
Lesion segmentation using U-Net network. - Fatemeh Zahra Saberifar, Shervin Ghasemlou, Dylan A. Shell, Jason M. O'Kane:
Toward a language-theoretic foundation for planning and filtering. - Sameh Khamis, Sean Ryan Fanello, Christoph Rhemann, Adarsh Kowdle, Julien P. C. Valentin, Shahram Izadi:
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction. - Beakal Gizachew Assefa, Öznur Özkasap
A Classification and Survey of Energy Efficient Methods in Software Defined Networking. - Joakim Andén, Vincent Lostanlen, Stéphane Mallat:
Classification with Joint Time-Frequency Scattering. - Jeferson Santiago da Silva, Thibaut Stimpfling, Thomas Luinaud, Bachir Fradj, Bochra Boughzala:
One for All, All for One: A Heterogeneous Data Plane for Flexible P4 Processing. - Deepak Babu Sam, R. Venkatesh Babu:
Top-Down Feedback for Crowd Counting Convolutional Neural Network. - Sepehr Assadi, Yu Chen, Sanjeev Khanna:
Sublinear Algorithms for (Δ+ 1) Vertex Coloring. - Minjie Wang, Chien-Chin Huang, Jinyang Li:
Supporting Very Large Models using Automatic Dataflow Graph Partitioning. - Aparna Joshi, Yu Zhang, Petko Bogdanov, Jeong-Hyon Hwang:
An Efficient System for Subgraph Discovery. - Yujie Wang, Simon Sun, Jahow Yu, Limin Yu:
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3. - Lin Shao, Ye Tian, Jeannette Bohg:
ClusterNet: Instance Segmentation in RGB-D Images. - Xiaolin Zhang, Yunchao Wei, Guoliang Kang, Yi Yang, Thomas S. Huang:
Self-produced Guidance for Weakly-supervised Object Localization. - Sung Hoon Kim, Dong In Kim:
Traffic-Aware Backscatter Communications in Wireless-Powered Heterogeneous Networks. - (Withdrawn) A Structured Perspective of Volumes on Active Learning.
- Ke-Wen Huang, Hui-Ming Wang, Yongpeng Wu, Robert Schober:
Pilot Spoofing Attack by Multiple Eavesdroppers. - Meera Sharma, Abhishek Tandon, Madhu Kumari, V. B. Singh:
Reduction of Redundant Rules in Association Rule Mining-Based Bug Assignment. - Jinfa Wang, Xiao Liu, Hai Zhao, Xingchi Chen:
Anomaly Detection of Complex Networks Based on Intuitionistic Fuzzy Set Ensemble. - James Harrison, Apoorva Sharma, Marco Pavone:
Meta-Learning Priors for Efficient Online Bayesian Regression. - Hamid Reza Shahdoosti:
Panchromatic Sharpening of Remote Sensing Images Using a Multi-scale Approach. - Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum:
The Variational Homoencoder: Learning to learn high capacity generative models from few examples. - Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Jiajiong Ma:
Competitive Inner-Imaging Squeeze and Excitation for Residual Network. - Andrew Spek, Thanuja Dharmasiri, Tom Drummond:
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks. - Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya:
SAAGs: Biased Stochastic Variance Reduction Methods. - Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu:
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. - Oksana M. Markova:
The model of methodical system and learning objectives of the foundations of mathematical informatics for students of technical universities. - Joost Broekens:
A Temporal Difference Reinforcement Learning Theory of Emotion: unifying emotion, cognition and adaptive behavior. - Pratyush Kumar, Muktabh Mayank Srivastava:
Example Mining for Incremental Learning in Medical Imaging. - Hamid Reza Shahdoosti:
Hyperspectral Images Classification Using Energy Profiles of Spatial and Spectral Features. - Jing Yang, Biao Zhang, Yue Qin, Xiangwen Zhang, Qian Lin, Jinsong Su:
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT. - Jinyi Zou, Xiao Ma, Cheng Zhong, Yao Zhang:
Dermoscopic Image Analysis for ISIC Challenge 2018. - Jiehua Chen, Danny Hermelin, Manuel Sorge:
A Note on Clustering Aggregation. - Vladyslav Usenko, Nikolaus Demmel, Daniel Cremers:
The Double Sphere Camera Model. - Roderick Bloem, Nicolas Braud-Santoni, Vedad Hadzic, Uwe Egly, Florian Lonsing, Martina Seidl:
Expansion-Based QBF Solving Without Recursion. - Jun Wang, Jie Chen, Dan Su, Lianwu Chen, Meng Yu, Yanmin Qian, Dong Yu:
Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures. - Jesús López-Fernández, Francisco Javier López-Martínez:
Statistical Characterization of Second Order Scattering Fading Channels. - Sara Nasiri, Matthias Jung, Julien Helsper, Madjid Fathi:
Deep-CLASS at ISIC Machine Learning Challenge 2018. - Steffen Eger, Johannes Daxenberger, Christian Stab, Iryna Gurevych:
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! - Robert X. D. Hawkins, Hyowon Gweon, Noah D. Goodman:
Speakers account for asymmetries in visual perspective so listeners don't have to. - Jahongir Azimjonov, Jumabek Alikhanov:
Rule Based Metadata Extraction Framework from Academic Articles. - Axel Brando, José A. Rodríguez-Serrano, Mauricio Ciprian, Roberto Maestre, Jordi Vitrià:
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series. - Andrew Adamatzky, Mohammad Mahdi Dehshibi:
Exploring Tehran with excitable medium. - G. S. Fridman:
On critical and maximal digraphs. - Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Are RLL Codes Suitable for Simultaneous Energy and Information Transfer? - Michael P. Evans, Simon H. Tindemans, David Angeli:
Minimising Unserved Energy Using Heterogeneous Storage Units. - Vladyslav Velychko:
Creating e-learning means of free software. - Carsten Gerstacker, Felix Klein, Bernd Finkbeiner:
Bounded Synthesis of Reactive Programs. - Wisdom C. Agboh, Mehmet Remzi Dogar:
Real-Time Online Re-Planning for Grasping Under Clutter and Uncertainty. - Vladyslav Velychko:
Free software in electronic learning future teachers of mathematics, physics and computer science. - Vladyslav Velychko:
Implementation strategy of free software in the process of preparation of teachers of mathematics, physics and computer science. - Vladyslav Velychko
Use of visual programming in the university education by means of free software. - Neda Gholami, Mohammad Mahdi Dehshibi, Mahmood Fazlali, Antonio Rueda-Toicen, Hector Zenil, Andrew Adamatzky:
On complexity of post-processing in analyzing GATE-driven X-ray spectrum. - Xiaoguang Han, Kangcheng Hou, Dong Du, Yuda Qiu, Yizhou Yu, Kun Zhou, Shuguang Cui:
CaricatureShop: Personalized and Photorealistic Caricature Sketching. - Cun Li, Jun Hu, Bart Hengeveld, Caroline Hummels:
Slots-Memento : A System Facilitating Intergenerational Story Sharing and Preservation of Family Mementos. - Shihao Sun, Lei Yang, Wenjie Liu, Ruirui Li:
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation. - Donlaporn Srifar:
360 virtual reality travel media for elderly. - Aditya Arun, C. V. Jawahar, M. Pawan Kumar:
Learning Human Poses from Actions. - Ngoc-Quang Nguyen:
ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network. - Raffaele Marino
Revisiting the Challenges of MaxClique. - Tiago Cunha
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets. - Tefjol Pllaha:
Symplectic Isometries of Stabilizer Codes. - Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis:
Finite Time Adaptive Stabilization of LQ Systems. - Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen:
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition. - Richard Jayadi Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau:
Talent Flow Analytics in Online Professional Network. - Heng Guo, Chao Liao, Pinyan Lu, Chihao Zhang:
Zeros of Holant problems: locations and algorithms. - Kiewan Villatel, Elena Smirnova, Jérémie Mary, Philippe Preux:
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation. - Yongsheng Pan, Yong Xia:
Residual Network based Aggregation Model for Skin Lesion Classification. - Roman Khudorozhkov
Clearing noisy annotations for computed tomography imaging. - Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi, Girdhari Singh:
QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition. - Saahil Ognawala, Ricardo Nales Amato, Alexander Pretschner, Pooja Kulkarni:
Automatically Assessing Vulnerabilities Discovered by Compositional Analysis. - Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira:
An argument in favor of strong scaling for deep neural networks with small datasets. - Sara Iodice, Krystian Mikolajczyk:
Partial Person Re-identification with Alignment and Hallucination. - Anabik Pal, Sounak Ray, Utpal Garain:
Skin disease identification from dermoscopy images using deep convolutional neural network. - Rania Briq, Michael Moeller, Juergen Gall:
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation. - Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Towards Demystifying Membership Inference Attacks. - Hadi Jahanshahi, Naeimeh Najafizadeh Sari:
On the computational analysis of the genetic algorithm for attitude control of a carrier system. - Antonina Nepeivoda:
Supercompiling String Programs Using Word Equations as Constraints. - Raul Fernandez-Fernandez, Juan G. Victores, David Estevez, Carlos Balaguer:
Robot Imitation through Vision, Kinesthetic and Force Features with Online Adaptation to Changing Environments. - Jonathon Luiten, Paul Voigtlaender, Bastian Leibe:
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation. - Weidi Xie, Andrew Zisserman:
Multicolumn Networks for Face Recognition. - Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. - Vithursan Thangarasa, Graham W. Taylor:
Self-Paced Learning with Adaptive Deep Visual Embeddings. - Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Constraint-Based Visual Generation. - Yu-Fan Tung, Tian-Li Yu:
Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing. - Okan Asik, Binnur Görer, H. Levent Akin:
End-to-End Deep Imitation Learning: Robot Soccer Case Study. - Yujiang Wang, Bingnan Luo, Jie Shen, Maja Pantic:
Face Mask Extraction in Video Sequence. - Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum, Juhan Nam:
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition. - Kwang Hee Lee, Sang Wook Lee:
Deterministic Fitting of Multiple Structures using Iterative MaxFS with Inlier Scale Estimation and Subset Updating. - Amr M. Sauber
Parallel Whale Optimization Algorithm for Solving Constrained and Unconstrained Optimization Problems. - Pierre Augier, Ashwin Vishnu Mohanan, Cyrille Bonamy:
FluidDyn: a Python open-source framework for research and teaching in fluid dynamics. - Peter Robinson:
Decentralised Random Number Generation. - Alexey Potapov, Oleg Shcherbakov, Innokentii Zhdanov, Sergey Rodionov, Nikolai Skorobogatko:
HyperNets and their application to learning spatial transformations. - Manu Goyal, Jiahua Ng, Moi Hoon Yap:
Multi-Class Lesion Diagnosis with Pixel-wise Classification Network. - Maria Camila Alvarez Trivino, Jérémie Despraz, Jesús Alfonso López Sotelo, Carlos Andrés Peña:
Deep Learning on Retina Images as Screening Tool for Diagnostic Decision Support. - Mariya Shyshkina, Ulyana Kohut:
The Use Of The Cloud-based Learning Component With The MAXIMA System For Teaching Operations Research. - David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum:
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks. - Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman:
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. - Hadi Mardani Kamali:
Using Multi-Core HW/SW Co-design Architecture for Accelerating K-means Clustering Algorithm. - Albert Pumarola, Antonio Agudo, Aleix M. Martínez, Alberto Sanfeliu, Francesc Moreno-Noguer:
GANimation: Anatomically-aware Facial Animation from a Single Image. - Paul Henderson
Learning to Generate and Reconstruct 3D Meshes with only 2D Supervision. - Mariya Shyshkina:
The Hybrid Service Model of Electronic Resources Access in the Cloud-Based Learning Environment. - Marco Túlio Valente, Klérisson V. R. Paixão:
CSIndexbr: Exploring the Brazilian Scientific Production in Computer Science. - Rishi Sharma, Shane T. Barratt, Stefano Ermon, Vijay S. Pande:
Improved Training with Curriculum GANs. - Zhewei Wang, Charles D. Smith, Jundong Liu:
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation. - Hossein Esfandiari, Michael Mitzenmacher:
Metric Sublinear Algorithms via Linear Sampling. - Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas K. Maier:
User Loss - A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction. - Christopher L. Choi, Jason Rebello, Leonid Koppel, Pranav Ganti, Arun Das, Steven L. Waslander:
Encoderless Gimbal Calibration of Dynamic Multi-Camera Clusters. - Alexander Kuvaev, Roman Khudorozhkov
A Simple Probabilistic Model for Uncertainty Estimation. - Lars Nagel, Tim Süß, Kevin Kremer, M. Umar Hameed, Lingfang Zeng, André Brinkmann:
Time-efficient Garbage Collection in SSDs. - Antoine Amarilli, Pierre Bourhis, Stefan Mengel, Matthias Niewerth:
Constant-Delay Enumeration for Nondeterministic Document Spanners. - Olena V. Komarova:
Computer Simulation of Biological Processes at the High School. - Sagnik Majumder, Christoph von der Malsburg, Aashish Richhariya, Surekha Bhanot:
Handwritten Digit Recognition by Elastic Matching. - Veeraruna Kavitha, Eitan Altman, Indrajit Saha
Controlling Packet Drops to Improve Freshness of information. - Xianfu Chen, Pei Liu, Hang Liu, Celimuge Wu, Yusheng Ji:
Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks. - Amin Azari, Cicek Cavdar:
Self-organized Low-power IoT Networks: A Distributed Learning Approach. - Panagiotis Kouvaros, Dimitrios Kouzapas, Anna Philippou, Julius Georgiou, Loukas Petrou, Andreas Pitsillides:
Formal Verification of a Programmable Hypersurface. - Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel:
Learning Plannable Representations with Causal InfoGAN. - Dilli P. Sharma, Dong Seong Kim, Seunghyun Yoon, Hyuk Lim, Jin-Hee Cho, Terrence J. Moore:
FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks. - Xianfu Chen, Zhifeng Zhao, Celimuge Wu, Mehdi Bennis, Hang Liu, Yusheng Ji, Honggang Zhang:
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach. - Pengfei Fan, Tianrui Zhao, Lei Su:
Deep learning the high variability and randomness inside multimode fibres. - Joseph Marino, Yisong Yue, Stephan Mandt:
Iterative Amortized Inference. - Lifeng Zhou, Pratap Tokekar:
An Approximation Algorithm for Risk-averse Submodular Optimization. - Karlis Freivalds, Jans Glagolevs:
Graph Compact Orthogonal Layout Algorithm. - Niclas Zeller, Franz Quint, Uwe Stilla:
A Synchronized Stereo and Plenoptic Visual Odometry Dataset. - Hananel Hazan, Daniel J. Saunders, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
Unsupervised Learning with Self-Organizing Spiking Neural Networks. - Kristopher K. Micinski, Zhanpeng Wang, Thomas Gilray:
Racets: Faceted Execution in Racket. - Jue Wang, Anoop Cherian:
Learning Discriminative Video Representations Using Adversarial Perturbations. - Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz:
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation. - Max Simchowitz:
On the Randomized Complexity of Minimizing a Convex Quadratic Function. - Timothy A. Mann, Sven Gowal, Ray Jiang, Huiyi Hu, Balaji Lakshminarayanan, András György:
Learning from Delayed Outcomes with Intermediate Observations. - Kai Xu, Zhikang Zhang, Fengbo Ren:
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction. - Haris Angelidakis:
Shortest path queries, graph partitioning and covering problems in worst and beyond worst case settings. - Ovidiu Daescu, Hemant Malik:
Does a robot path have clearance c? - Sebastian Pokutta, Mohit Singh, Alfredo Torrico:
Efficient algorithms for robust submodular maximization under matroid constraints. - George Berry, Antonio D. Sirianni, Nathan High, Agrippa Kellum, Ingmar Weber, Michael W. Macy:
Estimating group properties in online social networks with a classifier. - Kwang Hee Lee, Chanki Yu, Sang Wook Lee:
Deterministic Hypothesis Generation for Robust Fitting of Multiple Structures. - Zi Jian Yew, Gim Hee Lee:
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration. - Shang Xiang, Jianfei Liu:
A 36-Element Solution To Schneiders' Pyramid Hex-Meshing Problem And A Parity-Changing Template For Hex-Mesh Revision. - Apurba Das, Seyed-Vahid Sanei-Mehri, Srikanta Tirthapura:
Shared-Memory Parallel Maximal Clique Enumeration. - Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli:
Video Storytelling. - Sanyam Kapoor:
Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches. - Md. Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce:
Semantics Meet Saliency: Exploring Domain Affinity and Models for Dual-Task Prediction. - Xuhang Ying, Sang Uk Sagong, Andrew Clark, Linda Bushnell, Radha Poovendran:
Shape of the Cloak: Formal Analysis of Clock Skew-Based Intrusion Detection System in Controller Area Networks. - Kai Fan, Bo Li, Fengming Zhou, Jiayi Wang:
"Bilingual Expert" Can Find Translation Errors. - Boeun Kim
Distinctive-attribute Extraction for Image Captioning. - Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter:
Deterministic consensus maximization with biconvex programming. - Zhongshun Zhang, Yoonchang Sung, Lifeng Zhou, Jonathon M. Smereka, Joseph Lee, Pratap Tokekar:
A Minimax Tree Based Approach for Minimizing Detectability and Maximizing Visibility. - Kevin Moran, Cody Watson, John Hoskins, George Purnell, Denys Poshyvanyk:
Detecting and Summarizing GUI Changes in Evolving Mobile Apps. - Xingang Pan, Ping Luo, Jianping Shi, Xiaoou Tang:
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net. - Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Unbounded Output Networks for Classification. - Martí Anglada, Enrique de Lucas, Joan-Manuel Parcerisa, Juan L. Aragón, Pedro Marcuello, Antonio González:
Rendering Elimination: Early Discard of Redundant Tiles in the Graphics Pipeline. - Roberto Napoli, Ali Mert Ertugrul, Alessandro Bozzon, Marco Brambilla:
A User Modeling Pipeline for Studying Polarized Political Events in Social Media. - Julien Duchêne, Eric Alata, Vincent Nicomette, Mohamed Kaâniche, Colas Le Guernic:
Specification-Based Protocol Obfuscation. - Andreas Orthey, Adrien Escande, Eiichi Yoshida:
Quotient-Space Motion Planning. - Qian Wang, Hang Li, Zhi Chen, Dou Zhao, Shuang Ye, Jiansheng Cai:
Supervised and Semi-Supervised Deep Neural Networks for CSI-Based Authentication. - Xavier Timoneda, Sergi Abadal, Albert Cabellos-Aparicio, Dionysios Manessis, Jin Zhou, Antonio Franques, Josep Torrellas, Eduard Alarcón:
Millimeter-Wave Propagation within a Computer Chip Package. - Hongwei Liu, Jingge Liu:
σ-self-orthogonal constacyclic codes of length ps over Fpm+uFpm. - Éric Duchêne, Valentin Gledel, Aline Parreau, Gabriel Renault:
Maker-Breaker domination game. - Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Attention Mechanisms for Object Recognition with Event-Based Cameras. - Almut Demel, Dominik Dürrschnabel
A Greedy Heuristic for Crossing-Angle Maximization. - David Cerezo Sánchez:
Raziel: Private and Verifiable Smart Contracts on Blockchains. - Alexander Hagg, Alexander Asteroth, Thomas Bäck:
Prototype Discovery using Quality-Diversity. - Philipp Jordan:
Investigating the Intersection of Science Fiction, Human-Computer Interaction and Computer Science Research. - Jie Xue, Yuan Li, Saladi Rahul, Ravi Janardan:
Searching for the closest-pair in a query translate. - Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
How good is my GAN? - Luca Carcano, Emanuele Plebani, Danilo Pietro Pau, Marco Piastra:
Pre-trainable Reservoir Computing with Recursive Neural Gas. - Xiaoran Xu, Songpeng Zu
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs. - Sauro Succi, Peter V. Coveney:
Big Data: the End of the Scientific Method? - Siddhartha Mishra:
A machine learning framework for data driven acceleration of computations of differential equations. - Yasemin Büyükçolak, Didem Gözüpek, Sibel Özkan:
Triangle-Free Equimatchable Graphs. - Barbara Geissmann, Lukas Gianinazzi:
Parallel Minimum Cuts in Near-linear Work and Low Depth. - Hsueh-Fu Lu, Xiaofei Du, Ping-Lin Chang:
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks. - Karl Kurzer, Chenyang Zhou, J. Marius Zöllner:
Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search. - Qi Chen, Lei Wang, Yifan Wu, Guangming Wu, Zhiling Guo, Steven L. Waslander:
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings. - Ufuk Can Biçici, Cem Keskin, Lale Akarun:
Conditional Information Gain Networks. - Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. - Glen Chou, Yunus Emre Sahin, Liren Yang, Kwesi J. Rutledge, Petter Nilsson, Necmiye Ozay:
Using control synthesis to generate corner cases: A case study on autonomous driving. - Zhenchao Zhang, Markus Gerke, George Vosselman, Michael Ying Yang:
Patch-based Evaluation of Dense Image Matching Quality. - Wee Chin Wong, Jiali Li, Xiaonan Wang:
Recurrent Neural Network-based Model Predictive Control for Continuous Pharmaceutical Manufacturing. - Michele Svanera
Who is the director of this movie? Automatic style recognition based on shot features. - Ahmad Hany Hossny, Terry Moschou, Grant Osborne, Lewis Mitchell, Nick Lothian:
Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study. - Zhenchao Zhang, George Vosselman, Markus Gerke, Devis Tuia, Michael Ying Yang:
Change Detection between Multimodal Remote Sensing Data Using Siamese CNN. - Bander Ali Saleh Al-rimy, Mohd Aizaini Maarof, Syed Zainudeen Mohd Shaid:
Redundancy Coefficient Gradual Up-weighting-based Mutual Information Feature Selection Technique for Crypto-ransomware Early Detection. - Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis:
Perturb and Combine to Identify Influential Spreaders in Real-World Networks. - Leo Torres, Pablo Suárez-Serrato, Tina Eliassi-Rad:
Graph Distance from the Topological View of Non-backtracking Cycles. - Yash Deshpande, Andrea Montanari, Elchanan Mossel, Subhabrata Sen:
Contextual Stochastic Block Models. - Chang Liu, Wei Ke, Fei Qin, Qixiang Ye:
Linear Span Network for Object Skeleton Detection. - Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani:
Text Classification based on Multiple Block Convolutional Highways. - Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilen:
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images. - Hamid Reza Shahdoosti:
Improved Adaptive Brovey as a New Method for Image Fusion. - Ioannis Dimitriou:
Delay analysis of a dynamic queue-based random access network. - Paulo Guilherme de Lima Freire, Ricardo José Ferrari:
Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images. - Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas, Petros Daras:
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas. - Alon Talmor, Jonathan Berant:
Repartitioning of the ComplexWebQuestions Dataset. - George Gui, Ali Hortaçsu, Jose Tudon:
A Memo on the Proof-of-Stake Mechanism. - Carolina Raposo, Cristóvão Sousa, Luis Ribeiro, Rui Melo, João P. Barreto, João Oliveira, Pedro Marques, Fernando Fonseca:
Video-based computer aided arthroscopy for patient specific reconstruction of the Anterior Cruciate Ligament. - Eduardo Ponce, Brittany Stephenson, Suzanne M. Lenhart, Judy Day, Gregory D. Peterson:
PaPaS: A Portable, Lightweight, and Generic Framework for Parallel Parameter Studies. - Yingting Wu, Hai Zhao:
Finding Better Subword Segmentation for Neural Machine Translation. - Pranav Ashok, Yuliya Butkova, Holger Hermanns, Jan Kretínský:
Continuous-Time Markov Decisions based on Partial Exploration. - Austin R. Benson:
Three hypergraph eigenvector centralities. - Brendan O'Donoghue:
Variational Bayesian Reinforcement Learning with Regret Bounds. - Pradeep Subedi, Philip E. Davis, Juan J. Villalobos, Ivan Rodero, Manish Parashar:
Using Intel Optane Devices for In-situ Data Staging in HPC Workflows. - Qianli Liao, Brando Miranda, Andrzej Banburski, Jack Hidary, Tomaso A. Poggio:
A Surprising Linear Relationship Predicts Test Performance in Deep Networks. - Yu Gu, Qimei Cui, Qiang Ye, Weihua Zhuang:
Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee. - Khimya Khetarpal, Doina Precup:
Attend Before you Act: Leveraging human visual attention for continual learning. - Matthieu Ospici, Antoine Cecchi:
Person re-identification across different datasets with multi-task learning. - Linpeng Tang, Yida Wang, Theodore L. Willke, Kai Li:
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs. - Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
A Novel ILP Framework for Summarizing Content with High Lexical Variety. - Javad Doliskani:
Toward an Optimal Quantum Algorithm for Polynomial Factorization over Finite Fields. - Matús Sulír, Jaroslav Porubän:
RuntimeSearch: Ctrl+F for a Running Program. - Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata:
Grounding Visual Explanations. - Michael Mitzenmacher, Tom Morgan:
Directory Reconciliation. - Timofey Mukha:
Turbulucid: A Python Package for Post-Processing of Fluid Flow Simulations. - Michael Mitzenmacher, Tom Morgan:
Robust Set Reconciliation via Locality Sensitive Hashing. - Daniel G. Waddington:
Fast & Flexible IO : A Compositional Approach to Storage Construction for High-Performance Devices. - Denis Feurer, Fabrice Vinatier:
The Time-SIFT method : detecting 3-D changes from archival photogrammetric analysis with almost exclusively image information. - Farzad Tashtarian, Ahmad Reza Montazerolghaem, Amir Varasteh:
Distributed Lifetime Optimization in Wireless Sensor Networks using Alternating Direction Method of Multipliers. - Todd Huster, Cho-Yu Jason Chiang, Ritu Chadha:
Limitations of the Lipschitz constant as a defense against adversarial examples. - Jhelum Chakravorty, Aditya Mahajan:
Remote estimation over a packet-drop channel with Markovian state. - Daniel Gehrig, Henri Rebecq, Guillermo Gallego, Davide Scaramuzza:
Asynchronous, Photometric Feature Tracking using Events and Frames. - Charles Ringer, Mihalis A. Nicolaou:
Deep Unsupervised Multi-View Detection of Video Game Stream Highlights. - Ali Moin, Arno Thielens, Álvaro Araujo, Jan M. Rabaey:
Adaptivity to Enable an Efficient and Robust Human Intranet. - Rui Fan, Ali Varamesh, Onur Varol, Alexander T. J. Barron, Ingrid van de Leemput, Marten Scheffer, Johan Bollen:
Does putting your emotions into words make you feel better? Measuring the minute-scale dynamics of emotions from online data. - Kristóf Bérczi, Karthekeyan Chandrasekaran, Tamás Király, Vivek Madan:
Improving the Integrality Gap for Multiway Cut. - Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin Arendt, Samira Shaikh, Wenwen Dou:
Vulnerable to Misinformation? Verifi! - Qingyuan Feng, Evgenia V. Dueva, Artem Cherkasov, Martin Ester:
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction. - Michail Fasoulakis, Apostolos Traganitis, Anthony Ephremides:
Jamming in multiple independent Gaussian channels as a game. - Han Xiao, Yidong Chen, Xiaodong Shi:
Multi-Perspective Neural Architecture for Recommendation System. - Stephen Boyer, Thomas D. Griffin, Sarath Swaminathan, Kenneth L. Clarkson, Dmitry Zubarev:
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing. - Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Flow-Grounded Spatial-Temporal Video Prediction from Still Images. - Duong Tung Nguyen, Long Bao Le, Vijay K. Bhargava:
A Market-Based Framework for Multi-Resource Allocation in Fog Computing. - Na-Young Ahn, Donghoon Lee, Seong-Jun Oh:
Vehicle Communication using Secrecy Capacity. - Mo'taz Al-Hami, Marcin Pietron, Rishi Kumar, Raúl A. Casas, Samer L. Hijazi, Chris Rowen:
Method for Hybrid Precision Convolutional Neural Network Representation. - Sujith Mangalathu, Jong-Su Jeon:
Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques. - P. Balasubramanian:
Asynchronous Ripple Carry Adder based on Area Optimized Early Output Dual-Bit Full Adder. - Tawfeeq A. Shawly, Ali A. Elghariani, Jason Kobes, Arif Ghafoor:
Architectures for Detecting Real-time Multiple Multi-stage Network Attacks Using Hidden Markov Model. - Mariya Shyshkina:
The General Model of the Cloud-based Learning and Research Environment of Educational Personnel Training. - Mark Collier, Hector Urdiales Llorens:
Deep Contextual Multi-armed Bandits. - Abhimanyu Dubey, Moitreya Chatterjee, Narendra Ahuja:
Coreset-Based Neural Network Compression. - Nikhil Churamani
An Affective Robot Companion for Assisting the Elderly in a Cognitive Game Scenario. - Santiago Cortés Reina, Arno Solin, Esa Rahtu, Juho Kannala:
ADVIO: An authentic dataset for visual-inertial odometry. - Zeliang Liu, C. T. Wu, M. Koishi:
A Deep Material Network for Multiscale Topology Learning and Accelerated Nonlinear Modeling of Heterogeneous Materials. - Leandro Palma, Luis Argerich:
Iterative evaluation of LSTM cells. - João Borrego, Atabak Dehban, Rui Figueiredo, Plinio Moreno, Alexandre Bernardino, José Santos-Victor:
Applying Domain Randomization to Synthetic Data for Object Category Detection. - G. Gordon Worley III:
Robustness to fundamental uncertainty in AGI alignment. - Mark R. Mittrick, John T. Richardson, Derrik E. Asher, Alex James, Timothy P. Hanratty:
Using the Value of Information (VoI) Metric to Improve Sensemaking. - Muhammad Mahbubur Rahman, Tim Finin:
Understanding and representing the semantics of large structured documents. - Simon Dobnik, John D. Kelleher:
Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing. - Ahmet Iscen, Ondrej Chum:
Local Orthogonal-Group Testing. - Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Where are the Blobs: Counting by Localization with Point Supervision. - Samuel J. Weisenthal, Caroline M. Quill, Samir A. Farooq, Henry A. Kautz, Martin S. Zand:
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data. - Hussien Al-Hmood:
Performance of Cognitive Radio Systems over κ-μ Shadowed with Integer μ and Fisher-Snedecor F Fading Channels. - Felipe del-Rio, Pablo Messina, Vicente Dominguez, Denis Parra
Do Better ImageNet Models Transfer Better... for Image Recommendation ? - Mnacho Echenim, Hervé Guiol, Nicolas Peltier:
Formalizing the Cox-Ross-Rubinstein pricing of European derivatives in Isabelle/HOL. - Caio Corro, Ivan Titov:
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder. - Christopher Thomas, Adriana Kovashka:
Persuasive Faces: Generating Faces in Advertisements. - Uriel Feige, Janardhan Kulkarni, Shi Li:
A Polynomial Time Constant Approximation For Minimizing Total Weighted Flow-time. - Pegah Karimi, Kazjon Grace, Mary Lou Maher, Nicholas Davis:
Evaluating Creativity in Computational Co-Creative Systems. - Mohammad Dashti, Sachin Basil John, Thierry Coppey, Amir Shaikhha, Vojin Jovanovic, Christoph Koch:
Compiling Database Application Programs. - Pasin Manurangsi, Luca Trevisan:
Mildly Exponential Time Approximation Algorithms for Vertex Cover, Uniform Sparsest Cut and Related Problems. - Shawn Bowers, Timothy M. McPhillips, Bertram Ludäscher:
Validation and Inference of Schema-Level Workflow Data-Dependency Annotations. - Dung T. Phan, Nicola Paoletti, Timothy Zhang, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
Neural State Classification for Hybrid Systems. - Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra:
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. - Francois Robert Hogan, Maria Bauzá, Alberto Rodriguez:
A Data-Efficient Approach to Precise and Controlled Pushing. - Nihar Talele, Katie Byl:
Toward Efficient and Robust Biped Walking Optimization. - Anoosheh Heidarzadeh, Brenden Garcia, Swanand Kadhe, Salim Y. El Rouayheb, Alex Sprintson:
On the Capacity of Single-Server Multi-Message Private Information Retrieval with Side Information. - Tailin Wu, John Peurifoy, Isaac L. Chuang, Max Tegmark:
Meta-learning autoencoders for few-shot prediction. - Pavel Praks, Dejan Brkic:
Advanced iterative procedures for solving the implicit Colebrook equation for fluid flow friction. - Chaojian Yu, Xinyi Zhao, Qi Zheng, Peng Zhang, Xinge You:
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition. - Jin-Yuan Wang, Cheng Liu, Jun-Bo Wang, Yongpeng Wu, Min Lin, Julian Cheng:
Physical-layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis. - Jia-Xu Liu, Ke Xu:
Budget-aware Online Task Assignment in Spatial Crowdsourcing. - Jin-Yuan Wang, Hong Ge, Jian-Xia Zhu, Jun-Bo Wang, Jianxin Dai, Min Lin:
Adaptive Spatial Modulation for Visible Light Communications with an Arbitrary Number of Transmitters. - Jin-Yuan Wang, Jian-Xia Zhu, Sheng-Hong Lin, Jun-Bo Wang:
Adaptive Spatial Modulation Based Visible Light Communications: SER Analysis and Optimization. - Michael B. Milligan
Jupyter as Common Technology Platform for Interactive HPC Services. - Jun Xu, Deyu Meng, Lei Zhang:
Simplex Representation for Subspace Clustering. - Sara Shahi, Daniela Tuninetti
The Strongly Asynchronous Massive Access Channel. - Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon:
Multi-Agent Generative Adversarial Imitation Learning. - Jiren Zhu, Russell Kaplan, Justin Johnson, Li Fei-Fei:
HiDDeN: Hiding Data With Deep Networks. - Shuhan Chen, Xiuli Tan, Ben Wang, Xuelong Hu:
Reverse Attention for Salient Object Detection. - Richard Booth, Jake Chandler:
On Strengthening the Logic of Iterated Belief Revision: Proper Ordinal Interval Operators. - Weishu Liu, Guangyuan Hu, Li Tang:
Missing author address information in Web of Science-An explorative study. - Avanti Shrikumar, Jocelin Su, Anshul Kundaje:
Computationally Efficient Measures of Internal Neuron Importance. - Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. - Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation. - Wei He, Naoto Yokoya:
Multi-temporal Sentinel-1 and -2 Data Fusion for Optical Image Simulation. - Yu Jiang, Vivek Natarajan, Xinlei Chen, Marcus Rohrbach, Dhruv Batra, Devi Parikh:
Pythia v0.1: the Winning Entry to the VQA Challenge 2018. - Bo Dai, Deming Ye, Dahua Lin:
Rethinking the Form of Latent States in Image Captioning. - Viresh Ranjan, Hieu Le, Minh Hoai:
Iterative Crowd Counting. - Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning to guide task and motion planning using score-space representation. - Amin Jourabloo, Yaojie Liu, Xiaoming Liu:
Face De-Spoofing: Anti-Spoofing via Noise Modeling. - Pedro Miraldo, Tiago J. Dias, Srikumar Ramalingam:
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines. - Miaopeng Li, Zimeng Zhou, Jie Li, Xinguo Liu:
Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint. - Eric S. Kim, Murat Arcak:
Abstractions for Symbolic Controller Synthesis are Composable. - Yantao Shen, Hongsheng Li, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Person Re-identification with Deep Similarity-Guided Graph Neural Network. - Jie Xue:
Colored range closest-pair problem under general distance functions. - Bernhard Brehm, Hanne Hardering:
Sparips. - Wenhao Jiang, Lin Ma, Yu-Gang Jiang, Wei Liu, Tong Zhang:
Recurrent Fusion Network for Image Captioning. - Francisco Cruz, German Ignacio Parisi, Stefan Wermter:
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning. - Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu:
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN. - Alex Zyner, Stewart Worrall, Eduardo M. Nebot:
Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks. - Andrea Romanoni, Matteo Matteucci:
A Data-driven Prior on Facet Orientation for Semantic Mesh Labeling. - Seonwook Park, Adrian Spurr, Otmar Hilliges:
Deep Pictorial Gaze Estimation. - Victor Kulikov, Victor Yurchenko, Victor S. Lempitsky:
Instance Segmentation by Deep Coloring. - Slavko Zitnik, Lovro Subelj, Dejan Lavbic, Olegas Vasilecas, Marko Bajec:
General Context-Aware Data Matching and Merging Framework. - Dmitry Chistikov, Andrzej S. Murawski, David Purser:
Bisimilarity Distances for Approximate Differential Privacy. - Yilei Xiong, Bo Dai, Dahua Lin:
Move Forward and Tell: A Progressive Generator of Video Descriptions. - Janka Hatvani, Adrian Basarab, Jean-Yves Tourneret, Miklós Gyöngy, Denis Kouame:
A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT. - Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye, Gang Hua:
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks. - Myunggi Lee, Seungeui Lee, Sung Joon Son, Gyutae Park, Nojun Kwak:
Motion Feature Network: Fixed Motion Filter for Action Recognition. - Duc-Cuong Dang, Per Kristian Lehre, Phan Trung Hai Nguyen:
Level-Based Analysis of the Univariate Marginal Distribution Algorithm. - Katia Jaffrès-Runser
PCach: The Case for Pre-Caching your Mobile Data. - Alessio Netti, Zeynep Kiziltan, Özalp Babaoglu, Alina Sîrbu, Andrea Bartolini, Andrea Borghesi:
FINJ: A Fault Injection Tool for HPC Systems. - Jonas Fritzsch, Justus Bogner, Alfred Zimmermann, Stefan Wagner:
From Monolith to Microservices: A Classification of Refactoring Approaches. - Rohit Girdhar, João Carreira, Carl Doersch, Andrew Zisserman:
A Better Baseline for AVA. - Michael Hellwig, Hans-Georg Beyer:
A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem. - Seong Hun Lee, Javier Civera:
Loosely-Coupled Semi-Direct Monocular SLAM. - Georgios Balikas, Gaël Dias, Rumen Moraliyski, Massih-Reza Amini:
Concurrent Learning of Semantic Relations. - Mohammed G. H. al Zamil:
Automatic Detection of Node-Replication Attack in Vehicular Ad-hoc Networks. - Sebastian Lutz, Konstantinos Amplianitis, Aljosa Smolic:
AlphaGAN: Generative adversarial networks for natural image matting. - Delia Garijo, Alberto Márquez, Natalia Rodríguez, Rodrigo I. Silveira:
Computing optimal shortcuts for networks. - Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias:
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. - Ruoxi Deng, Chunhua Shen, Shengjun Liu, Huibing Wang, Xinru Liu:
Learning to predict crisp boundaries. - Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat:
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow. - Matús Sulír, Jaroslav Porubän:
Trend Analysis on the Metadata of Program Comprehension Papers. - Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya, Umapada Pal:
Effects of Degradations on Deep Neural Network Architectures. - Anssi Kanervisto, Ville Hautamäki:
ToriLLE: Learning Environment for Hand-to-Hand Combat. - Apoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula:
MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net For Multi-Modal Alzheimer's Classification. - Guoqiang Zhang, Haopeng Li:
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs). - Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu:
A Unified Approximation Framework for Deep Neural Networks. - Gissell Estrada-Rodriguez, Heiko Gimperlein:
Swarming of interacting robots with Lévy strategies: a macroscopic description. - Meng Wang, Juan Liu, Wei Chen, Anthony Ephremides:
Joint Queue-Aware and Channel-Aware Delay Optimal Scheduling of Arbitrarily Bursty Traffic over Multi-State Time-Varying Channels. - Filip Srajer, Zuzana Kukelova, Andrew W. Fitzgibbon:
A Benchmark of Selected Algorithmic Differentiation Tools on Some Problems in Computer Vision and Machine Learning. - Elias Castegren, Joel Wallin, Tobias Wrigstad:
Bestow and Atomic: Concurrent Programming using Isolation, Delegation and Grouping. - Mohammed Foughali, Félix Ingrand
GenoM3 Templates: from Middleware Independence to Formal Models Synthesis. - Fudong Wang, Nan Xue, Yipeng Zhang, Xiang Bai, Gui-Song Xia:
Adaptively Transforming Graph Matching. - Rajendra Nagar, Shanmuganathan Raman:
Fast and Accurate Intrinsic Symmetry Detection. - Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang:
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. - Simon Moura, Massih-Reza Amini, Sana Louhichi, Marianne Clausel:
Rademacher Generalization Bounds for Classifier Chains. - Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. - Bowen Yi, Romeo Ortega, Houria Siguerdidjane, Juan E. Machado, Weidong Zhang:
On Generation of Virtual Outputs via Signal Injection: Application to Observer Design for Electromechanical Systems. - Heping Jiang
A new proof of Grinberg Theorem based on cycle bases. - Wenchao Xia, Jun Zhang, Tony Q. S. Quek, Shi Jin, Hongbo Zhu:
Joint Optimization of Fronthaul Compression and Bandwidth Allocation in Uplink H-CRAN with Large System Analysis. - Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer:
A Style-Aware Content Loss for Real-time HD Style Transfer. - Rafael Valle:
Visual Display and Retrieval of Music Information. - Tom van Dijk:
A Parity Game Tale of Two Counters. 107-122 - Jing Zhang, Huibing Wang, Yonggong Ren:
Robust Tracking via Weighted Online Extreme Learning Machine. - Ben Blakeley, Chris Cooney, Ali Dehghantanha, Rob Aspin:
Cloud Storage Forensic: hubiC as a Case-Study. - Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo, Sean Doyle, Katherine P. Andriole, Mark H. Michalski, R. Gilberto González, Stuart R. Pomerantz:
DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning. - Yee-Yang Teing, Ali Dehghantanha, Kim-Kwang Raymond Choo:
CloudMe Forensics: A Case of Big-Data Investigation. - Tete Xiao, Yingcheng Liu, Bolei Zhou, Yuning Jiang, Jian Sun:
Unified Perceptual Parsing for Scene Understanding. - Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski:
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks. - M. Majid Butt, Eduard A. Jorswieck, Nicola Marchetti:
On Optimizing Power Allocation For Reliable Communication over Fading Channels with Uninformed Transmitter. - Mauro Conti, Edlira Dushku, Luigi V. Mancini:
RADIS: Remote Attestation of Distributed IoT Services. - Nikolaos Dionelis, Mike Brookes:
Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation. - Anupam Das:
On the logical complexity of cyclic arithmetic. - Hongyu Guo, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. - Gabriela Csurka, Martin Humenberger:
From handcrafted to deep local invariant features. - Marcel Böhme:
Assurances in Software Testing: A Roadmap. - Elchanan Mossel, Jiaming Xu:
Seeded Graph Matching via Large Neighborhood Statistics. - Shubham Tulsiani, Richard Tucker, Noah Snavely:
Layer-structured 3D Scene Inference via View Synthesis. - Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, Michael J. Black:
Generating 3D faces using Convolutional Mesh Autoencoders. - Andrzej Stanislaw Kucik
Premise selection with neural networks and distributed representation of features. - Yingyu Zhang, Yuanzhen Li:
A Many-Objective Evolutionary Algorithm Based on Decomposition and Local Dominance. - Yotaro Takazawa, Shinji Mizuno:
On a reduction of the weighted induced bipartite subgraph problem to the weighted independent set problem. - Hao Yan, Kamran Paynabar, Massimo Pacella:
Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization. - Joshua Achiam, Harrison Edwards, Dario Amodei, Pieter Abbeel:
Variational Option Discovery Algorithms. - Joris Guérin, Olivier Gibaru, Eric Nyiri, Stéphane Thiery, Byron Boots:
Semantically Meaningful View Selection. - Benjamin Milde, Arne Köhn:
Open Source Automatic Speech Recognition for German. - Alexis J. Vallarella, Hernan Haimovich:
Characterization of semiglobal stability properties for discrete-time models of non-uniformly sampled nonlinear systems. - Siddharth Krishna Kumar:
A general metric for identifying adversarial images. - (Withdrawn) A Reinforcement Learning Approach to Target Tracking in a Camera Network.
- Victor Mayoral Vilches, Endika Gil-Uriarte, Irati Zamalloa Ugarte, Gorka Olalde Mendia, Rodrigo Izquierdo Pisón, Laura Alzola Kirschgens, Asier Bilbao Calvo, Alejandro Hernández Cordero, Lucas Apa, César Cerrudo:
Towards an open standard for assessing the severity of robot security vulnerabilities, the Robot Vulnerability Scoring System (RVSS). - Silvia Bonomi, Marco Casini, Claudio Ciccotelli:
B-CoC: A Blockchain-based Chain of Custody for Evidences Management in Digital Forensics. - Giorgi Maisuradze, Christian Rossow:
ret2spec: Speculative Execution Using Return Stack Buffers. - Brian Ichter, Marco Pavone:
Robot Motion Planning in Learned Latent Spaces. - Qi Guo, Iuri Frosio, Orazio Gallo, Todd E. Zickler, Jan Kautz:
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset. - Yanchao Yang, Stefano Soatto:
Conditional Prior Networks for Optical Flow. - Jianfeng Shi, Yinlu Wang, Hao Xu, Ming Chen, Benoît Champagne:
Performance Analysis of User-centric Virtual Cell Dense Networks over mmWave Channels. - Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga:
Perturbation Robust Representations of Topological Persistence Diagrams. - Ulrich Viereck, Kate Saenko, Robert Platt Jr.:
Adapting control policies from simulation to reality using a pairwise loss. - Weitong Zhang:
Characters Detection on Namecard with faster RCNN. - Sujoy Paul, Sourya Roy, Amit K. Roy-Chowdhury:
W-TALC: Weakly-supervised Temporal Activity Localization and Classification. - Haoyi Wang, Xingjie Wei, Victor Sanchez, Chang-Tsun Li:
Fusion Network for Face-based Age Estimation. - Wenshuo Wang, Weiyang Zhang, Ding Zhao:
Understanding V2V Driving Scenarios through Traffic Primitives. - Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
STEAP: simultaneous trajectory estimation and planning. - Kiril Antevski, Jorge Martín-Pérez, Nuria Molner, Carla-Fabiana Chiasserini, Francesco Malandrino, Pantelis A. Frangoudis, Adlen Ksentini, Xi Li, Josep Xavier Salvat, Ricardo Martínez, Iñaki Pascual, Josep Mangues-Bafalluy, Jorge Baranda, Barbara Martini, Molka Gharbaoui:
Resource Orchestration of 5G Transport Networks for Vertical Industries. - Milda Petraityte, Ali Dehghantanha, Gregory Epiphaniou:
A Model for Android and iOS Applications Risk Calculation: CVSS Analysis and Enhancement Using Case-Control Studies. - James Baldwin, Omar M. K. Alhawi, Simone Shaughnessy, Alex Akinbi, Ali Dehghantanha:
Emerging from The Cloud: A Bibliometric Analysis of Cloud Forensics Studies. - Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg:
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency. - Mauro Conti, Ali Dehghantanha, Katrin Franke, Steve Watson:
Internet of Things Security and Forensics: Challenges and Opportunities. - Divya Gopinath, Kaiyuan Wang, Mengshi Zhang, Corina S. Pasareanu, Sarfraz Khurshid:
Symbolic Execution for Deep Neural Networks. - Omar M. K. Alhawi, James Baldwin, Ali Dehghantanha:
Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection. - Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand:
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. - James Baldwin, Ali Dehghantanha:
Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware. - Opeyemi A. Osanaiye, Kim-Kwang Raymond Choo, Ali Dehghantanha, Zheng Xu, Mqhele E. Dlodlo:
Ensemble-based Multi-Filter Feature Selection Method for DDoS Detection in Cloud Computing. - Qiyu Kang, Wee Peng Tay:
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. - Yee-Yang Teing, Ali Dehghantanha, Kim-Kwang Raymond Choo:
Greening Cloud-Enabled Big Data Storage Forensics: Syncany as a Case Study. - Dennis Kiwia, Ali Dehghantanha, Kim-Kwang Raymond Choo, Jim Slaughter:
A Cyber Kill Chain Based Taxonomy of Banking Trojans for Evolutionary Computational Intelligence. - Mohammad Shariati, Ali Dehghantanha, Ben Martini, Kim-Kwang Raymond Choo:
Ubuntu One Investigation: Detecting Evidences on Client Machines. - Zhiyi Zhang, Xiaoyuan Xie, Tsong Yueh Chen, Yang Liu, Baowen Xu:
A Validation and Quality Assessment Method with Metamorphic Relations for Unsupervised Machine Learning Software. - Xuanqing Liu, Cho-Jui Hsieh:
From Adversarial Training to Generative Adversarial Networks. - Jun-Kun Wang, Jacob D. Abernethy:
Acceleration through Optimistic No-Regret Dynamics. - Zhenghao Peng, Xuyang Chen, Chengwen Xu, Naifeng Jing, Xiaoyao Liang, Cewu Lu, Li Jiang:
AXNet: ApproXimate computing using an end-to-end trainable neural network. - Patricia Wollstadt, Joseph T. Lizier, Raul Vicente, Conor Finn, Mario Martínez-Zarzuela, Pedro A. M. Mediano, Leonardo Novelli, Michael Wibral:
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks. - Nicolas Gastineau, Wahabou Abdou, Nader Mbarek, Olivier Togni:
Distributed leader election and computation of local identifiers for programmable matter. - Yang Su, Yansong Gao, Michael Chesser, Omid Kavehei, Alanson P. Sample, Damith Chinthana Ranasinghe:
SecuCode: Intrinsic PUF Entangled Secure Wireless Code Dissemination for Computational RFID Devices. - Aurélien Hazan:
A maximum entropy network reconstruction of macroeconomic models. - Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen, Max Backman, Patrick Micke:
A Deep Learning Framework for Automatic Diagnosis in Lung Cancer. - Jiangyu Wang, Huanxin Chen:
BSAS: Beetle Swarm Antennae Search Algorithm for Optimization Problems. - Andrea Ceni, Peter Ashwin, Lorenzo Livi:
Interpreting RNN behaviour via excitable network attractors. - M. Majid Butt, Irene Macaluso, Eduard A. Jorswieck, Julie Bradford, Nicola Marchetti, Linda Doyle:
Spectrum Matching in Licensed Spectrum Sharing. - Xiang Li, Ancong Wu, Wei-Shi Zheng:
Adversarial Open-World Person Re-Identification. - Tomasz Kociumaka, Jakub Radoszewski, Wojciech Rytter, Juliusz Straszynski, Tomasz Walen, Wiktor Zuba:
Faster Recovery of Approximate Periods over Edit Distance. - Karthik Desingh, Anthony Opipari, Odest Chadwicke Jenkins:
Pull Message Passing for Nonparametric Belief Propagation. - Seyed Mohammad Azimi-Abarghouyi, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson:
Stochastic Geometry Modeling and Analysis of Finite Millimeter Wave Wireless Networks. - Franziskus Wiesnet:
Limits with Signed Digit Streams. - Mohammad Mehdi Keikha, Maseud Rahgozar, Masoud Asadpour:
DeepLink: A Novel Link Prediction Framework based on Deep Learning. - Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek:
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. - Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh
Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments. - Nnamdi Ekwe-Ekwe, Adam Barker:
Location, Location, Location: Exploring Amazon EC2 Spot Instance Pricing Across Geographical Regions - Extended Version. - Qingqiu Huang, Wentao Liu, Dahua Lin:
Person Search in Videos with One Portrait Through Visual and Temporal Links. - Asan Agibetov, Matthias Samwald
Global and local evaluation of link prediction tasks with neural embeddings. - Riccardo Marin, Simone Melzi, Emanuele Rodolà, Umberto Castellani:
FARM: Functional Automatic Registration Method for 3D Human Bodies. - Anjith George, Aurobinda Routray:
ESCaF: Pupil Centre Localization Algorithm with Candidate Filtering. - Stefano Angieri, Alberto García-Martínez, Bingyang Liu, Zhiwei Yan, Chuang Wang, Marcelo Bagnulo:
An experiment in distributed Internet address management using blockchains. - Leizhen Cai, On Yin Leung:
Alternating Path and Coloured Clustering. - Michael Schwarz, Martin Schwarzl, Moritz Lipp, Daniel Gruss:
NetSpectre: Read Arbitrary Memory over Network. - Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
Automatic Short Answer Grading and Feedback Using Text Mining Methods. - Wojciech Czerwinski, Laure Daviaud, Nathanaël Fijalkow, Marcin Jurdzinski, Ranko Lazic, Pawel Parys:
Universal trees grow inside separating automata: Quasi-polynomial lower bounds for parity games. - Haitian Zheng, Mengqi Ji, Haoqian Wang, Yebin Liu, Lu Fang:
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping. - Olyvia Kundu, Swagat Kumar:
A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment. - Olivia Wiles, A. Sophia Koepke, Andrew Zisserman:
X2Face: A network for controlling face generation by using images, audio, and pose codes. - Yongxiang Huang, Albert Chi-shing Chung:
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network. - Felix Engelmann, Frank Kargl, Christoph Bösch:
Coloured Ring Confidential Transactions. - Mickey Li, Noyan Songur, Pavel Orlov, Stefan Leutenegger, A. Aldo Faisal:
Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos. - Carlos Camacho-Gómez:
Contributions to the development of the CRO-SL algorithm: Engineering applications problems. - Michael Cuffaro, Philippos Papayannopoulos:
Proceedings of the 9th International Workshop on Physics and Computation, PC@UCNC 2018, Fontainebleau, France, 26 June 2018. EPTCS 273, 2018 [contents] - Bryan Eikema, Wilker Aziz:
Auto-Encoding Variational Neural Machine Translation. - Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo, Petros Giataganas, Jean Nehme, Andre Chow, Danail Stoyanov:
DeepPhase: Surgical Phase Recognition in CATARACTS Videos. - Paige Randall North:
Towards a directed homotopy type theory. - Chintan M. Bhatt, Aboul Ella Hassanien, Nirav Alpesh Shah, Jaydeep Thik:
Barqi Breed Sheep Weight Estimation based on Neural Network with Regression. - Gerald Friedland, Jingkang Wang, Ruoxi Jia, Bo Li:
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity. - Pedram Ghazi, Antti P. Happonen, Jani Boutellier, Heikki Huttunen:
Embedded Implementation of a Deep Learning Smile Detector. - Jun Cheng:
Sparse Range-constrained Learning and Its Application for Medical Image Grading. - Tianqi Han, Zhihui Fu, Hongyu Li:
Two-Layer Mixture Network Ensemble for Apparel Attributes Classification. - Pan Wei, Lucas Cagle, Tasmia Reza, John E. Ball, James Gafford:
LiDAR and Camera Detection Fusion in a Real Time Industrial Multi-Sensor Collision Avoidance System. - John E. Ball, Pan Wei:
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations. - Yingruo Fan, Jacqueline C. K. Lam, Victor O. K. Li:
Multi-Region Ensemble Convolutional Neural Network for Facial Expression Recognition. - Dario Zanca, Marco Gori:
Visual Attention driven by Convolutional Features. - Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung:
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic. - Zhijie Fang, Antonio M. López:
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation. - Bum-Chae Kim, Jun-Sik Choi, Heung-Il Suk:
Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection. - Bishesh Khanal, Alberto Gómez, Nicolas Toussaint, Steven G. McDonagh, Veronika A. Zimmer, Emily Skelton, Jacqueline Matthew, Daniel Grzech, Robert Wright, Chandni Gupta, Benjamin Hou, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz:
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers. - Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen:
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps. - Xavier Suau, Luca Zappella, Vinay Palakkode, Nicholas Apostoloff:
Principal Filter Analysis for Guided Network Compression. - Wen-shan Bi, Kit Ian Kou:
A Novel Color Edge Detection Algorithm Based on Quaternion Hardy Filter. - Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
Finding any Waldo: zero-shot invariant and efficient visual search. - Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput:
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning. - Santiago A. Cadena, Marissa A. Weis, Leon A. Gatys, Matthias Bethge, Alexander S. Ecker:
Diverse feature visualizations reveal invariances in early layers of deep neural networks. - Wen Heng, Shuchang Zhou, Tingting Jiang:
Harmonic Adversarial Attack Method. - Alexey Potapov, Sergey Rodionov, Hugo Latapie, Enzo Fenoglio:
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning. - Joowan Kim, Younggun Cho, Ayoung Kim:
Generic Camera Attribute Control using Bayesian Optimization. - Benjamin Au, Uri Shaham, Sanket S. Dhruva, Georgios Bouras, Ecaterina Cristea, Alexandra Lansky, Andreas Coppi, Fred Warner, Shu-Xia Li, Harlan M. Krumholz:
Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks. - Gil Shomron, Uri C. Weiser:
Exploiting Spatial Correlation in Convolutional Neural Networks for Activation Value Prediction. - Yue Zhang, Wanli Chen, Yifan Chen, Xiaoying Tang:
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net. - Ramanarayan Mohanty, S. L. Happy, Nilesh Suthar, Aurobinda Routray:
A Trace Lasso Regularized L1-norm Graph Cut for Highly Correlated Noisy Hyperspectral Image. - Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova:
A Capsule Network for Traffic Speed Prediction in Complex Road Networks. - Yahaya Isah Shehu, Ariel Ruiz-Garcia
Sokoto Coventry Fingerprint Dataset. - Weiwen Wu, Fenglin Liu, Yanbo Zhang, Qian Wang, Hengyong Yu:
Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction. - Huibing Wang, Lin Feng, Adong Kong, Bo Jin:
Multi-view Reconstructive Preserving Embedding for Dimension Reduction. - Nishtha Madaan, Sameep Mehta, Shravika Mittal, Ashima Suvarna:
Judging a Book by its Description : Analyzing Gender Stereotypes in the Man Bookers Prize Winning Fiction. - Khawla Labad, Hongwei Liu, Jinquan Luo:
Construction of MDS Self-dual Codes over Finite Fields. - Evgeny Frolov, Ivan V. Oseledets:
Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge. - Darlington Ahiale Akogo
End-to-End Learning via a Convolutional Neural Network for Cancer Cell Line Classification. - David Grimsman, Mohammed Shabbir Ali, João P. Hespanha, Jason R. Marden:
Value of Information in Greedy Submodular Maximization. - Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu:
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography. - Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King:
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas. - Taiki Oyama, Takao Yamanaka:
Influence of Image Classification Accuracy on Saliency Map Estimation. - Jacopo Gobbi, Evgeny A. Stepanov, Giuseppe Riccardi:
Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm Development. - Roberto Metere, Andreas Lindner, Roberto Guanciale:
Sound Transpilation from Binary to Machine-Independent Code. - Alexei Tsygvintsev:
On the overfly algorithm in deep learning of neural networks. - Sabah Al-Fedaghi:
Thinging for Software Engineers. - Sajawel Ahmed, Alexander Mehler:
Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large Corpora. - Klaus Broelemann, Gjergji Kasneci:
Combining Restricted Boltzmann Machines with Neural Networks for Latent Truth Discovery. - Marina Sapir:
Learnable: Theory vs Applications. - Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi:
Fair allocation of combinations of indivisible goods and chores. - Zhanyu Ma, Yuping Lai:
Infinite Mixture of Inverted Dirichlet Distributions. - Jin Hee Kim, Brett Grady, Ruolong Lian, John Brothers, Jason Helge Anderson:
FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software. - Alessandro Bazzi, Giammarco Cecchini, Barbara M. Masini, Alberto Zanella:
Study of the Impact of PHY and MAC Parameters in 3GPP C-V2V Mode 4. - Humam Alwassel
Diagnosing Error in Temporal Action Detectors. - Manu Goyal, Moi Hoon Yap:
Region of Interest Detection in Dermoscopic Images for Natural Data-augmentation. - David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi:
Semi-convolutional Operators for Instance Segmentation. - (Withdrawn) Few Shot Learning with Simplex.
- Jakub Lacki, Vahab S. Mirrokni, Michal Wlodarczyk:
Connected Components at Scale via Local Contractions. - Dmitry Kopitkov, Vadim Indelman:
Deep PDF: Probabilistic Surface Optimization and Density Estimation. - John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre:
An Algorithm for Learning Shape and Appearance Models without Annotations. - Gao Zheng, Anthony Tsiopoulos, Vasilis Friderikos:
Dynamic Placement of VNF Chains for Proactive Caching in Mobile Edge Networks. - Marcely Zanon Boito, Antonios Anastasopoulos, Marika Lekakou, Aline Villavicencio, Laurent Besacier:
A small Griko-Italian speech translation corpus. - Amir Rasouli, Pablo Lanillos, Gordon Cheng, John K. Tsotsos:
Attention-based Active Visual Search for Mobile Robots. - Doganalp Ergenc, Ertan Onur:
CUPSMAN: Control User Plane Separation Based Routing in Ad-hoc Networks. - Sky Cheung, John Y. Shin, Yenson Lau, Zhengyu Chen, Ju Sun, Yuqian Zhang, John Wright, Abhay Pasupathy:
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy. - Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin:
A writer-independent approach for offline signature verification using deep convolutional neural networks features. - Sejin Park, Woochan Hwang
False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs. - Veronica Corona, Jan Lellmann, Peter J. Nestor, Carola-Bibiane Schoenlieb, Julio Acosta-Cabronero:
A multi-contrast MRI approach to thalamus segmentation. - Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert:
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension. - Ruijin Cang, Hope Yao, Yi Ren:
One-Shot Optimal Topology Generation through Theory-Driven Machine Learning. - Ivan Bliznets, Danil Sagunov:
Solving Target Set Selection with Bounded Thresholds Faster than 2n. - Ioannis Papapanagiotou, Vinay Chella:
NDBench: Benchmarking Microservices at Scale. - Abdulkareem Alsudais, Hovig Tchalian:
Clustering Prominent People and Organizations in Topic-Specific Text Corpora. - Joyita Chakraborty, Dinesh Pradhan, Hridoy Sankar Dutta, Subrata Nandi, Tanmoy Chakraborty:
On Good and Bad Intentions behind Anomalous Citation Patterns among Journals in Computer Sciences. - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
Improving Neural Sequence Labelling using Additional Linguistic Information. - Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Joint Image Deblurring and Super-Resolution. - Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie:
Crossbar-aware neural network pruning. - Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados:
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. - Evgenii Sovetkin, Ansgar Steland:
Automatic Processing and Solar Cell Detection in Photovoltaic Electroluminescence Images. - Pouya Badri, Mahdi Sojoodi:
Robust Stabilization of Fractional-order Interval Systems via Dynamic Output Feedback: An LMI Approach. - Taissir Y. Elganimi, Ali A. Elghariani:
Space-Time Block Coded Spatial Modulation Aided mmWave MIMO with Hybrid Precoding. - Nikhil Garg, Ashish Goel, Benjamin Plaut:
Markets for Public Decision-making. - Snehashis Roy, John A. Butman, Leighton Chan, Dzung L. Pham:
TBI Contusion Segmentation from MRI using Convolutional Neural Networks. - Bryan Head, Uri Wilensky:
Agent cognition through micro-simulations: Adaptive and tunable intelligence with NetLogo LevelSpace. - Snehashis Roy, John A. Butman, Dzung L. Pham:
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. - Mahdi Soltan Mohammadi, Kazem Cheshmi, Ganesh Gopalakrishnan, Mary W. Hall, Maryam Mehri Dehnavi, Anand Venkat, Tomofumi Yuki, Michelle Mills Strout:
Sparse Matrix Code Dependence Analysis Simplification at Compile Time. - Daniel W. Otter, Julian R. Medina, Jugal K. Kalita:
A Survey of the Usages of Deep Learning in Natural Language Processing. - Syed Eqbal Alam, Robert Shorten, Fabian Wirth, Jia Yuan Yu:
Communication-efficient Distributed Multi-resource Allocation. - James Christopher Foreman:
A Survey of Cyber Security Countermeasures Using Hardware Performance Counters. - Mohammad Etemad:
Transportation Modes Classification Using Feature Engineering. - Shant Boodaghians:
Revealed Preference Dimension via Matrix Sign Rank. - Lan V. Truong, Hirosuke Yamamoto:
On the Capacity of Symmetric M-user Gaussian Interference Channels with Feedback. - Rijul Magu, Nabil Hossain, Henry A. Kautz:
Analyzing Uncivil Speech Provocation and Implicit Topics in Online Political News. - Jiliang Zhang:
Crossover RO PUF-based Key Sharing for IoT Security. - Haoshu Fang, Jinkun Cao, Yu-Wing Tai, Cewu Lu:
Pairwise Body-Part Attention for Recognizing Human-Object Interactions. - Tomoki Hayashi, Shinji Watanabe, Yu Zhang, Tomoki Toda, Takaaki Hori, Ramón Fernandez Astudillo, Kazuya Takeda:
Back-Translation-Style Data Augmentation for End-to-End ASR. - Haiqiang Wang, Ioannis Katsavounidis, Xinfeng Zhang, Chao Yang, C.-C. Jay Kuo:
A user model for JND-based video quality assessment: theory and applications. - Ali Dorri, Fengji Luo, Salil S. Kanhere, Raja Jurdak, Zhao Yang Dong:
SPB: A Secure Private Blockchain-based Solution for Energy Trading. - Alfred Marcel Bruckstein, Martianus Frederic Ezerman, Adamas Aqsa Fahreza, San Ling:
Holographic Sensing. - T. M. Feroz Ali, Subhasis Chaudhuri:
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification. - Jiaxin Li, Yingcai Bi, Kun Li, Kangli Wang, Feng Lin, Ben M. Chen:
Accurate 3D Localization for MAV Swarms by UWB and IMU Fusion. - Andrea Pilzer, Dan Xu, Mihai Marian Puscas, Elisa Ricci, Nicu Sebe:
Unsupervised Adversarial Depth Estimation using Cycled Generative Networks. - Yabin Zhang, Hui Tang, Kui Jia:
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data. - Saeed Asaeedi, Farzad Didehvar, Ali Mohades:
An upper bound for min-max angle of polygons. - Daniel Ward, Peyman Moghadam, Nicolas Hudson:
Deep Leaf Segmentation Using Synthetic Data. - Di Chai, Leye Wang, Qiang Yang:
Bike Flow Prediction with Multi-Graph Convolutional Networks. - Xiaoyu Ge, Jochen Renz, Hua Hua:
Towards Explainable Inference about Object Motion using Qualitative Reasoning. - Federico Paredes-Vallés, Kirk Y. W. Scheper, Guido C. H. E. de Croon:
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception. - Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh:
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. - Emre Yilmaz, Henk van den Heuvel, David A. van Leeuwen:
Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech. - Emre Yilmaz, Vikramjit Mitra, Chris Bartels, Horacio Franco:
Articulatory Features for ASR of Pathological Speech. - Emre Yilmaz, Astik Biswas, Ewald van der Westhuizen, Febe de Wet, Thomas Niesler:
Building a Unified Code-Switching ASR System for South African Languages. - Sten Vercammen, Mohammad Ghafari, Serge Demeyer, Markus Borg:
Goal-oriented Mutation Testing with Focal Methods. - Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong:
Improving Sequential Determinantal Point Processes for Supervised Video Summarization. - Muhammad Ozair Iqbal, Muhammad Mahboob Ur Rahman, Muhammad Ali Imran, Akram Alomainy, Qammer H. Abbasi:
Modulation Mode Detection & Classification for in-Vivo Nano-Scale Communication Systems Operating in Terahertz Band. - Jennifer Sleeman, Tim Finin, Milton Halem:
Ontology-Grounded Topic Modeling for Climate Science Research. - Raghav Mehta, Tal Arbel:
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. - Ezequiel Fattori, Pablo Groisman, Carlos Sarraute:
Point Process Models for Distribution of Cell Phone Antennas. - Shantanu Chakraborty, Tim Baarslag, Michael Kaisers:
Energy Contract Settlements through Automated Negotiation in Residential Cooperatives. - Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. - Lane A. Hemaspaandra, Holger Spakowski:
Team Diagonalization. - Siddharth Dalmia, Xinjian Li, Florian Metze, Alan W. Black:
Domain Robust Feature Extraction for Rapid Low Resource ASR Development. - Shadan Golestan, Pegah Soleiman, Hadi Moradi:
A Comprehensive Review of Technologies Used for Screening, Assessment, and Rehabilitation of Autism Spectrum Disorder. - Chen Li, Mai Xu, Xinzhe Du, Zulin Wang:
Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model. - Ramakrishna Prabhu, Xiaojing Yu, Zhangyang Wang, Ding Liu, Anxiao Jiang:
U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting. - Santhosh K. Ramakrishnan, Kristen Grauman:
Sidekick Policy Learning for Active Visual Exploration. - Yuxi Li, Jiuwei Li, Weiyao Lin, Jianguo Li:
Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages. - Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
A Margin-based MLE for Crowdsourced Partial Ranking. - Roberto Di Pietro, Flavio Lombardi:
Virtualization Technologies and Cloud Security: advantages, issues, and perspectives. - Ahmet A. Husainov:
Optimum Depth of the Bounded Pipeline. - Mohammed Ali Al-Garadi, Amr Mohamed, Abdulla K. Al-Ali, Xiaojiang Du, Mohsen Guizani:
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security. - Hoang Long Nguyen, Hoang Trong Nghia Pham, Vuong Minh Ngo:
Opinion Spam Recognition Method for Online Reviews using Ontological Features. - Wei Dong, Qiuyuan Wang, Xin Wang, Hongbin Zha:
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction. - Zi-Ming Wang, Gui-Song Xia, Yipeng Zhang:
Texture Mixing by Interpolating Deep Statistics via Gaussian Models. - Po-Yu Huang, Wan Ting Hsu, Chun-Yueh Chiu, Ting-Fan Wu, Min Sun:
Efficient Uncertainty Estimation for Semantic Segmentation in Videos. - Jan Kallberg:
The Second Amendment and Cyber Weapons - The Constitutional Relevance of Digital Gun Rights. - Fu Xiong, Yang Xiao, Zhiguo Cao, Kaicheng Gong, Zhiwen Fang, Joey Tianyi Zhou:
Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification. - Torsten Mütze, Manfred Scheucher:
On L-shaped Point Set Embeddings of Trees: First Non-embeddable Examples. - Yansong Gao, Marten van Dijk, Lei Xu, Surya Nepal, Damith Chinthana Ranasinghe:
TREVERSE: Trial-and-Error Lightweight Secure Reverse Authentication with Simulatable PUFs. - Kavindu Dodanduwa, Ishara Kaluthanthri:
Trust-Based Identity Sharing For Token Grants. - Xuebin Su, Hongzhi Wang, Jianzhong Li, Hong Gao:
MISS: Finding Optimal Sample Sizes for Approximate Analytics. - Wei Li, Brian Mak:
Fast derivation of neural network based document vectors with distance constraint and negative sampling. - Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans:
Robust Distributed Planar Formation Control for Higher-Order Holonomic and Nonholonomic Agents. - Simone Ferlin, Stepán Kucera, Holger Claussen, Ozgu Alay:
MPTCP meets FEC: Supporting Latency-Sensitive Applications over Heterogeneous Networks. - Chu-Min Li, Fan Xiao, Mao Luo, Felip Manyà, Zhipeng Lü, Yu Li:
Clause Vivification by Unit Propagation in CDCL SAT Solvers. - Soon-Seo Park, Jung-Su Ha, Doo-Hyun Cho, Han-Lim Choi:
A Distributed ADMM Approach to Informative Trajectory Planning for Multi-Target Tracking. - Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo:
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking. - Doron Sobol, Lior Wolf, Yaniv Taigman:
Visual Analogies between Atari Games for Studying Transfer Learning in RL. - Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu:
Semi-supervised CNN for Single Image Rain Removal. - Wayne Wu, Yunxuan Zhang, Cheng Li, Chen Qian, Chen Change Loy:
ReenactGAN: Learning to Reenact Faces via Boundary Transfer. - Sharib Ali, Martin Schober, Philipp Schlömer, Katrin Amunts, Markus Axer, Karl Rohr:
Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data. - Bin He, Yi Guan, Rui Dai:
Convolutional Gated Recurrent Units for Medical Relation Classification. - Sajedul Talukder, Shalisha Witherspoon, Kanishk Srivastava, Ryan Thompson:
Mobile Technology in Healthcare Environment: Security Vulnerabilities and Countermeasures. - Bruno Bauwens, Alexander Shen:
Information Distance Revisited. - Pramit Saha, Praneeth Srungarapu, Sidney S. Fels:
Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI. - Tianyun Zhang, Kaiqi Zhang, Shaokai Ye, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang:
ADAM-ADMM: A Unified, Systematic Framework of Structured Weight Pruning for DNNs. - Juan Manuel Vera-Diaz, Daniel Pizarro, Javier Macías Guarasa:
Towards End-to-End Acoustic Localization using Deep Learning: from Audio Signal to Source Position Coordinates. - Tian Zhou, Juan P. Wachs:
Spiking Neural Networks for Early Prediction in Human Robot Collaboration. - Heinz Riener, Rüdiger Ehlers, Bruno Schmitt, Giovanni De Micheli:
Exact Synthesis of ESOP Forms. - Dimitri Yatsenko, Edgar Y. Walker, Andreas S. Tolias:
DataJoint: A Simpler Relational Data Model. - Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Reality-aware Sybil-Resilient Voting. - Xusheng Li, Zhisheng Hu, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu:
ROPNN: Detection of ROP Payloads Using Deep Neural Networks. - Huy Tu, Vivek Nair:
While Tuning is Good, No Tuner is Best. - Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. - Jacob Beck, Zoe Papakipos:
Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks. - Keren Ye, Kyle Buettner, Adriana Kovashka:
Story Understanding in Video Advertisements. - Jingbo Zhao, Robert S. Allison, Margarita Vinnikov, Sion Jennings:
The Effects of Visual and Control Latency on Piloting a Quadcopter using a Head-Mounted Display. - Xiujun Li, Sarah Panda, Jingjing Liu, Jianfeng Gao:
Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems. - Xiaohan Fei, Alex Wong, Stefano Soatto:
Geo-Supervised Visual Depth Prediction. - Alastair A. Abbott
A Hybrid Quantum-Classical Paradigm to Mitigate Embedding Costs in Quantum Annealing - Abridged Version. 1-13 - Richard Whyman
An Atemporal Model of Physical Complexity. 39-51 - Amruta Vidwans, Nachiket Deo, Preeti Rao:
Audio segmentation based on melodic style with hand-crafted features and with convolutional neural networks. - Duligur Ibeling:
Causal Modeling with Probabilistic Simulation Models. - Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen:
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. - Xiang Guo, Yuchao Dai:
Occluded Joints Recovery in 3D Human Pose Estimation based on Distance Matrix. - Feilong Liu, Niranjan Kamat, Spyros Blanas, Arnab Nandi:
To Ship or Not to (Function) Ship (Extended version). - Tingguang Li, Jin Pan, Delong Zhu, Max Q.-H. Meng:
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration. - Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin:
Pose Guided Human Video Generation. - Benjamin A. Newman, Reuben M. Aronson, Siddhartha S. Srinivasa, Kris Kitani, Henny Admoni
HARMONIC: A Multimodal Dataset of Assistive Human-Robot Collaboration. - Shih-Chung Ben Lo, Matthew T. Freedman, Seong Ki Mun:
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors. - Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao:
Robust Student Network Learning. - Hao-Min Liu, Yi-Hsuan Yang:
Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network. - Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, Jian Sun:
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. - Haizi Yu, Igor Mineyev, Lav R. Varshney:
A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering. - Simina Brânzei, Yuval Peres:
Online Learning with an Almost Perfect Expert. - Shweta Yadav, Joy Sain
Leveraging Medical Sentiment to Understand Patients Health on Social Media. - Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang:
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots. - Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari:
Human Motion Analysis with Deep Metric Learning. - Yantao Shen, Hongsheng Li, Tong Xiao, Shuai Yi, Dapeng Chen, Xiaogang Wang:
Deep Group-shuffling Random Walk for Person Re-identification. - Yantao Shen, Tong Xiao, Hongsheng Li, Shuai Yi, Xiaogang Wang:
End-to-End Deep Kronecker-Product Matching for Person Re-identification. - Ruru Yue, Zhe Gao, Na Meng, Yingfei Xiong, Xiaoyin Wang, J. David Morgenthaler
Automatic Clone Recommendation for Refactoring Based on the Present and the Past. - Wenjie Li, Mohamad Assaad:
Distributed Stochastic Optimization in Networks with Low Informational Exchange. - Yunpeng Chen, Yannis Kalantidis, Jianshu Li, Shuicheng Yan, Jiashi Feng:
Multi-Fiber Networks for Video Recognition. - Claudio Casetti, Carla-Fabiana Chiasserini, Nuria Molner, Jorge Martín-Pérez, Thomas Deiß, Cao-Thanh Phan, Farouk Messaoudi, Giada Landi, Juan Brenes Baranzano:
Arbitration Among Vertical Services. - Xianyan Jia, Shutao Song, Wei He, Yangzihao Wang, Haidong Rong, Feihu Zhou, Liqiang Xie, Zhenyu Guo, Yuanzhou Yang, Liwei Yu, Tiegang Chen, Guangxiao Hu, Shaohuai Shi
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes. - Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai:
Hard-Aware Point-to-Set Deep Metric for Person Re-identification. - Guillaume Favelier, Noura Faraj, Brian Summa, Julien Tierny:
Persistence Atlas for Critical Point Variability in Ensembles. - Corentin Kervadec
CAKE: Compact and Accurate K-dimensional representation of Emotion. - Lars Brünjes, Aggelos Kiayias, Elias Koutsoupias, Aikaterini-Panagiota Stouka:
Reward Sharing Schemes for Stake Pools. - Katsuki Chousa, Katsuhito Sudoh, Satoshi Nakamura:
Training Neural Machine Translation using Word Embedding-based Loss. - Sai Bi, Nima Khademi Kalantari, Ravi Ramamoorthi:
Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition. - Tao Li, Lei Lin, Minsoo Choi, Kaiming Fu, Siyuan Gong, Jian Wang:
YouTube AV 50K: an Annotated Corpus for Comments in Autonomous Vehicles. - Yaroslav Shmulev, Mikhail Belyaev:
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging. - Jeffrey M. Ede
Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder. - Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan:
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network. - Billy Woods, Mahendran Subramanian, Ali Shafti, A. Aldo Faisal:
Mechanomyography based closed-loop Functional Electrical Stimulation cycling system. - Álvaro Peris, Francisco Casacuberta:
Active Learning for Interactive Neural Machine Translation of Data Streams. - Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu:
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification. - Pedro García López, Marc Sánchez Artigas, Gerard París, Daniel Barcelona Pons, Álvaro Ruiz Ollobarren, David Arroyo Pinto:
Comparison of Production Serverless Function Orchestration Systems. - Hermann Blum
Modular Sensor Fusion for Semantic Segmentation. - Yuqing Du, Kaibin Huang:
Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning. - Sadaf ul Zuhra, Prasanna Chaporkar, Abhay Karandikar:
Towards Optimal Grouping and Resource Allocation for Multicast Streaming in LTE. - Bo Peng, Wenming Tan, Zheyang Li, Shun Zhang, Di Xie, Shiliang Pu:
Extreme Network Compression via Filter Group Approximation. - Sergey Goncharov, Christoph Rauch, Lutz Schröder:
A Metalanguage for Guarded Iteration. - Hatem Hajri, Mohamed-Cherif Rahal:
Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth. - Thomas Winant, Dominique Devriese:
Coherent Explicit Dictionary Application for Haskell: Formalisation and Coherence Proof. - Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. - Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro:
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. - Matthias Cetto, Christina Niklaus, André Freitas, Siegfried Handschuh:
Graphene: Semantically-Linked Propositions in Open Information Extraction. - Evgeniy V. Martyushev:
Self-Calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle. - Fernanda Madeiral, Thomas Durieux
Towards an automated approach for bug fix pattern detection. - Pablo R. Baldivieso Monasterios, Paul A. Trodden:
Model predictive control of linear systems with preview information: feasibility, stability and inherent robustness. - Hengjie Yang, Richard D. Wesel:
On the Most Informative Boolean Functions of the Very Noisy Channel. - Uta Büchler, Biagio Brattoli, Björn Ommer:
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning. - Konstantinos Drossos, Paul Magron, Stylianos Ioannis Mimilakis, Tuomas Virtanen:
Harmonic-Percussive Source Separation with Deep Neural Networks and Phase Recovery. - Takao Murakami, Yusuke Kawamoto:
Restricted Local Differential Privacy for Distribution Estimation with High Data Utility. - Pablo Orviz Fernández, João Murta Pina, Álvaro López García, Isabel Campos Plasencia, Mário David, Jorge Gomes:
umd-verification: Automation of Software Validation for the EGI federated e-Infrastructure. - Gustav Eje Henter, Arne Leijon, W. Bastiaan Kleijn
Kernel Density Estimation-Based Markov Models with Hidden State. - Anna Spagnolli, Diletta Mora, Matteo Fanchin, Valeria Orso, Luciano Gamberini:
How to analyze ambivalence when studying technology acceptance: The case of VJ software automation. - Lipeng Chen, Luis F. C. Figueredo, Mehmet Remzi Dogar:
Planning for Muscular and Peripersonal-Space Comfort during Human-Robot Forceful Collaboration. - Torben Hagerup:
Guidesort: Simpler Optimal Deterministic Sorting for the Parallel Disk Model. - Seyed Yahya Nikouei, Yu Chen, Alexander J. Aved, Erik Blasch:
EIQIS: Toward an Event-Oriented Indexable and Queryable Intelligent Surveillance System. - Valentina Fontana, Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Suman Saha, Fabio Cuzzolin:
Action Detection from a Robot-Car Perspective. - Liangchen Song, Cheng Wang, Lefei Zhang, Bo Du, Qian Zhang, Chang Huang, Xinggang Wang:
Unsupervised Domain Adaptive Re-Identification: Theory and Practice. - David Mödinger, Henning Kopp, Frank Kargl, Franz J. Hauck:
A Flexible Network Approach to Privacy of Blockchain Transactions. - Leizhen Cai:
Vertex Covers Revisited: Indirect Certificates and FPT Algorithms. - Jane Huffman Hayes, Jared Payne, Alex Dekhtyar:
The REquirements TRacing On target (RETRO).NET Dataset. - Joshua C. Triyonoputro, Weiwei Wan, Kensuke Harada:
A Double Jaw Hand Designed for Multi-object Assembly. - Gonçalo Mordido, Haojin Yang, Christoph Meinel:
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators. - Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler:
Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Tracking. - Christian Sørseth, Xianyu Shelley Zhou, Stig Fr. Mjølsnes, Ruxandra F. Olimid:
Experimental Analysis of Subscribers' Privacy Exposure by LTE Paging. - Hoon Oh, Ariel D. Procaccia, Warut Suksompong:
Fairly Allocating Many Goods with Few Queries. - Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes. - Amit Kumar Jaiswal
Parsec: A State Channel for the Internet of Value. - Benedikt Schott, Christoph Ager, Wolfgang A. Wall:
Monolithic cut finite element based approaches for fluid-structure interaction. - Andreas Weinand, Michael Karrenbauer, Hans D. Schotten:
Security Solutions for Local Wireless Networks in Control Applications based on Physical Layer Security. - Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher:
On the Inability of Markov Models to Capture Criticality in Human Mobility. - Shuhang Gu, Radu Timofte, Luc Van Gool:
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks. - Bin Liu, Grigorios Tsoumakas:
Making Classifier Chains Resilient to Class Imbalance. - Xiaoqing Xu, Nishi Shah, Andrew Evans, Saurabh Sinha, Brian Cline, Greg Yeric:
Standard Cell Library Design and Optimization Methodology for ASAP7 PDK. - Róbert Busa-Fekete, Eyke Hüllermeier, Adil El Mesaoudi-Paul:
Preference-based Online Learning with Dueling Bandits: A Survey. - Andreas Blass, Yuri Gurevich:
Who needs category theory? - Thomas Robert, Nicolas Thome, Matthieu Cord:
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. - Asli Gençtav, Sibel Tari:
A Non-structural Representation Scheme for Articulated Shapes. - Gaurav Singh, John Shawe-Taylor:
Faster Convergence & Generalization in DNNs. - Prasad Raghavendra, Tselil Schramm, David Steurer:
High-dimensional estimation via sum-of-squares proofs. - Ru Zhang, Feng Zhu, Jianyi Liu, Gongshen Liu:
Efficient feature learning and multi-size image steganalysis based on CNN. - Arjun Pakrashi, Brian Mac Namee:
Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters. - Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh, Farhan Akram, Md. Mostafa Kamal Sarker, Nidhi Pandey, Saddam Abdulwahab:
REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks. - Yu-Ting Chen, Wen-Yen Chang, Hai-Lun Lu, Tingfan Wu, Min Sun:
Leveraging Motion Priors in Videos for Improving Human Segmentation. - Weidi Xie, Li Shen, Andrew Zisserman:
Comparator Networks. - Alex Dekhtyar, Jane Huffman Hayes:
Automating Requirements Traceability: Two Decades of Learning from KDD. - Stevan Tomic, Federico Pecora, Alessandro Saffiotti:
Norms, Institutions, and Robots. - Adrian Bulat, Jing Yang, Georgios Tzimiropoulos:
To learn image super-resolution, use a GAN to learn how to do image degradation first. - Parijat Dube, Bishwaranjan Bhattacharjee, Elisabeth Petit-Bois, Matthew Hill:
Improving Transferability of Deep Neural Networks. - Eric Balkanski, Adam Breuer, Yaron Singer:
Non-monotone Submodular Maximization in Exponentially Fewer Iterations. - Karim Ahmed, Lorenzo Torresani:
MaskConnect: Connectivity Learning by Gradient Descent. - Tesshu Hanaka, Ioannis Katsikarelis, Michael Lampis, Yota Otachi, Florian Sikora:
Parameterized Orientable Deletion. - Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schütze:
News Article Teaser Tweets and How to Generate Them. - Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan:
Estimating Failure in Brittle Materials using Graph Theory. - Chandra Chekuri, Kent Quanrud:
On Approximating (Sparse) Covering Integer Programs. - Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib, Nick Theisen, Dietrich Paulus:
Markerless Visual Robot Programming by Demonstration. - Kashif Sultan, Hazrat Ali, Zhongshan Zhang:
Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks. - Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata:
Textual Explanations for Self-Driving Vehicles. - Karol Antczak:
Deep Recurrent Neural Networks for ECG Signal Denoising. - Benoit Landry, Mo Chen, Scott Hemley, Marco Pavone:
Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming. - Xiong Zheng, Changyong Hu, Vijay K. Garg:
Lattice Agreement in Message Passing Systems. - Hawzhin Mohammed, Syed Rafay Hasan, Mohammad Ashiqur Rahman:
Load Control and Privacy-Preserving Scheme for Data Collection in AMI Networks. - Seonghan Ryu, Seokhwan Kim, Junhwi Choi, Hwanjo Yu, Gary Geunbae Lee:
Neural Sentence Embedding using Only In-domain Sentences for Out-of-domain Sentence Detection in Dialog Systems. - Pujie Han, Zhengjun Zhai, Brian Nielsen
A Compositional Approach for Schedulability Analysis of Distributed Avionics Systems. 39-51 - John E. Ball, Derek T. Anderson, Pan Wei:
State-of-the-art and gaps for deep learning on limited training data in remote sensing. - Jiawei Mo, Junaed Sattar:
SafeDrive: Enhancing Lane Appearance for Autonomous and Assisted Driving Under Limited Visibility. - Yassmeen Elderhalli, Waqar Ahmad, Osman Hasan, Sofiène Tahar:
Formal Probabilistic Analysis of Dynamic Fault Trees in HOL4. - Yuki Nozaki, Diptarama Hendrian, Ryo Yoshinaka, Takashi Horiyama, Ayumi Shinohara:
Enumerating Cryptarithms Using Deterministic Finite Automata. - Patrick Huber, Jan Niehues, Alex Waibel:
A Hierarchical Approach to Neural Context-Aware Modeling. - Thomas Cherico Wanger, Peter Frohn
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient. - Marc Franco-Salvador, Sudipta Kar, Thamar Solorio, Paolo Rosso:
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering. - Borui Jiang, Ruixuan Luo, Jiayuan Mao, Tete Xiao, Yuning Jiang:
Acquisition of Localization Confidence for Accurate Object Detection. - Ce Jin, Hongxun Wu:
A Simple Near-Linear Pseudopolynomial Time Randomized Algorithm for Subset Sum. - Amod Jog, Bruce Fischl:
Pulse Sequence Resilient Fast Brain Segmentation. - Johan Öfverstedt, Joakim Lindblad, Natasa Sladoje:
Fast and Robust Symmetric Image Registration Based on Intensity and Spatial Information. - Hasan Sait Arslan, Mark Fishel, Gholamreza Anbarjafari:
Doubly Attentive Transformer Machine Translation. - Tzyy-Juin Kao, Wolfgang Fink:
Pareto-Optimization Framework for Automated Network-on-Chip Design. - Arash Atashpendar, David Mestel, A. W. Roscoe, Peter Y. A. Ryan:
A Proof of Entropy Minimization for Outputs in Deletion Channels via Hidden Word Statistics. - Diego Calvanese, Marlon Dumas, Fabrizio Maria Maggi, Marco Montali:
Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge. - Kamal Al-Sabahi, Zuping Zhang, Jun Long, Khaled Alwesabi:
An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization. - Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
K-medoids Clustering of Data Sequences with Composite Distributions. - Saeed Vahidian, Sajad Hatamnia, Benoît Champagne:
On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper. - Marlos C. Machado, Marc G. Bellemare, Michael Bowling:
Count-Based Exploration with the Successor Representation. - Zohreh Ovaisi, Natasha Devroye, Hulya Seferoglu, Besma Smida, Daniela Tuninetti
On Erasure Broadcast Channels with Hard Deadlines. - Arpan Chattopadhyay, Urbashi Mitra:
Security against false data injection attack in cyber-physical systems. - Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Quoc V. Le:
MnasNet: Platform-Aware Neural Architecture Search for Mobile. - Zeyu Wang, Shiyu Qiu, Qingyang Chen, Alexander Ringlein, Julie Dorsey, Holly E. Rushmeier:
AniCode: Authoring Coded Artifacts for Network-Free Personalized Animations. - Shahin Khobahi, Mojtaba Soltanalian:
Optimized Transmission for Consensus in Wireless Sensor Networks. - Yuhao Wen, Xiaodan Zhu, Sudeepa Roy, Jun Yang:
Interactive Summarization and Exploration of Top Aggregate Query Answers. - Jin Zeng, Jiahao Pang, Wenxiu Sun, Gene Cheung, Ruichao Xiao:
Deep Graph Laplacian Regularization. - Sifeng He, Bahram Jalali:
Brain MRI Image Super Resolution using Phase Stretch Transform and Transfer Learning. - Piotr Indyk, Sepideh Mahabadi, Shayan Oveis Gharan, Alireza Rezaei:
Composable Core-sets for Determinant Maximization Problems via Spectral Spanners. - Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, Chen Change Loy:
The Devil of Face Recognition is in the Noise. - Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon:
Security and Privacy Issues in Deep Learning. - Jatin Jindal, Swaprava Nath
Truthful Peer Grading with Limited Effort from Teaching Staff. - Jian Liu, Shiqing Xin, Zengfu Gao, Kai Xu, Changhe Tu, Baoquan Chen:
Caging Loops in Shape Embedding Space: Theory and Computation. - Shih-Huan Hsu, Tian-Li Yu:
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II. - Tianqi Wang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning-based CSI Feedback Approach for Time-varying Massive MIMO Channels. - Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez:
Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition. - Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir M. Rajpoot:
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection. - Asifullah Khan, Aneela Zameer, Tauseef Jamal, Ahmad Raza:
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power. - Shlomi Dolev, Nisha Panwar:
Peripheral Authentication for Parked Vehicles over Wireless Radio Communication. - Jatin Garg, Skand Vishwanath Peri, Himanshu Tolani, Narayanan C. Krishnan:
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet). - Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo:
Neural Article Pair Modeling for Wikipedia Sub-article Matching. - Zenan Ling, Robert C. Qiu:
Spectrum concentration in deep residual learning: a free probability appproach. - Silvia Bucci, Mohammad Reza Loghmani, Barbara Caputo:
Multimodal Deep Domain Adaptation. - Guy Hadash, Oren Sar Shalom, Rita Osadchy:
Rank and Rate: Multi-task Learning for Recommender Systems. - Guorun Yang, Hengshuang Zhao, Jianping Shi, Zhidong Deng, Jiaya Jia:
SegStereo: Exploiting Semantic Information for Disparity Estimation. - Mai Alzamel, Panagiotis Charalampopoulos, Costas S. Iliopoulos, Tomasz Kociumaka, Solon P. Pissis, Jakub Radoszewski, Juliusz Straszynski:
Efficient Computation of Sequence Mappability. - Risheng Liu, Yi He, Shichao Cheng, Xin Fan, Zhongxuan Luo:
Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond. - Marcel Radermacher, Ignaz Rutter:
Inserting an Edge into a Geometric Embedding. - Niloofar Safi Samghabadi, Deepthi Mave, Sudipta Kar, Thamar Solorio:
RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification. - Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning in Physical Layer Communications. - Kaiji Lu, Piotr Mardziel, Fangjing Wu, Preetam Amancharla, Anupam Datta:
Gender Bias in Neural Natural Language Processing. - Sergül Aydöre, Bertrand Thirion, Olivier Grisel, Gaël Varoquaux:
Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data. - Shaobo Min, Xuejin Chen:
A Robust Deep Attention Network to Noisy Labels in Semi-supervised Biomedical Segmentation. - Dasom Seo, Kanghan Oh, Il-Seok Oh:
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks. - Sasi Kiran Yelamarthi, M. Shiva Krishna Reddy, Ashish Mishra, Anurag Mittal:
A Zero-Shot Framework for Sketch-based Image Retrieval. - Jahanzaib Shabbir, Thomas Kruezer:
Deep Visual Odometry Methods for Mobile Robots. - Pablo Ortega, Cédric Colas, Aldo Faisal:
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. - Yunjin Zhang, Marta Ortín, Victor Arellano, Rui Wang, Diego Gutierrez, Hujun Bao:
On-the-Fly Power-Aware Rendering. - Michael Cochez, Martina Garofalo, Jérôme Lenßen, Maria Angela Pellegrino:
A First Experiment on Including Text Literals in KGloVe. - Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen:
Remote sensing image regression for heterogeneous change detection. - Diego Marcos, Benjamin Kellenberger, Sylvain Lobry, Devis Tuia:
Scale equivariance in CNNs with vector fields. - Fatih Kucuksubasi, Arzu Sorguc:
Transfer Learning-Based Crack Detection by Autonomous UAVs. - Gang Bai, Zhihui Xie, Liang Wang:
Practical Constrained Optimization of Auction Mechanisms in E-Commerce Sponsored Search Advertising. - Ivano Salvo, Agnese Pacifico:
Computing Integer Sequences: Filtering vs Generation (Functional Pearl). - Marco Rasori, Pericle Perazzo, Gianluca Dini:
ABE-Cities: An Attribute-Based Encryption System for Smart Cities. - Swathikiran Sudhakaran
Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition. - Tim L. Alderson:
A note on full weight spectrum codes. - Julian Kullick
Speed-sensorless state feedback control of induction machines with LC filter. - Doriana Medic, Claudio Antares Mezzina, Iain Phillips, Nobuko Yoshida:
A Parametric Framework for Reversible π-Calculi. - Andreas Kamilaris, Francesc X. Prenafeta-Boldú:
Disaster Monitoring using Unmanned Aerial Vehicles and Deep Learning. - Andreas Kamilaris, Francesc X. Prenafeta-Boldu:
Deep learning in agriculture: A survey. - David M. Chan, Roshan Rao, Forrest Huang, John F. Canny:
t-SNE-CUDA: GPU-Accelerated t-SNE and its Applications to Modern Data. - Federico Simmross-Wattenberg, Manuel Rodríguez-Cayetano, Javier Royuela-del-Val, Elena Martín-González, Elisa Moya-Sáez, Marcos Martín-Fernández, Carlos Alberola-López:
OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices. - Gabriele Pozzetti, Hrvoje Jasak, Xavier Besseron, Alban Rousset, Bernhard Peters:
A parallel dual-grid multiscale approach to CFD-DEM couplings. - Jean Pierre Char:
Inferring the ground truth through crowdsourcing. - Jonathan Connell:
Extensible Grounding of Speech for Robot Instruction. - Keyur Kulkarni, Ahmad Y. Javaid:
Open Source Android Vulnerability Detection Tools: A Survey. - Zhaohui Yang, Jiancao Hou, Mohammad Shikh-Bahaei:
Resource Allocation in Full-Duplex Mobile-Edge Computing Systems with NOMA and Energy Harvesting. - Lei Li, Hongbo Fu, Chiew-Lan Tai:
Fast Sketch Segmentation and Labeling with Deep Learning. - Ashutosh Bandekar, Ahmad Y. Javaid:
Cyber-attack Mitigation and Impact Analysis for Low-power IoT Devices. - Anil S. Baslamisli, Thomas T. Groenestege, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers:
Joint Learning of Intrinsic Images and Semantic Segmentation. - Michael Eiselt, Annika Dochhan, Jörg-Peter Elbers:
Data Center Interconnects at 400G and Beyond. - Hans L. Bodlaender, Tom C. van der Zanden:
On Exploring Temporal Graphs of Small Pathwidth. - Zhitao Wang, Yang Zheng, Shengbo Eben Li, Keyou You, Keqiang Li:
Parallel Optimal Control for Cooperative Automation of Large-scale Connected Vehicles via ADMM. - Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien, Andrea Lodi:
Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning. - António Simões, João Xavier:
FADE: Fast and Asymptotically efficient Distributed Estimator for dynamic networks. - Jie Chen, Ronny Luss:
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators. - Qijie Zhao, Feng Ni, Yang Song, Yongtao Wang, Zhi Tang:
Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database. - Youness Mansar:
Deep End-to-end Fingerprint Denoising and Inpainting. - Mohammad A. Noureddine, Ahmed M. Fawaz, Tamer Basar, William H. Sanders:
Revisiting Client Puzzles for State Exhaustion Attacks Resilience. - Mandy Guo, Qinlan Shen, Yinfei Yang, Heming Ge, Daniel Cer, Gustavo Hernández Ábrego, Keith Stevens, Noah Constant, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil:
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings. - Giuseppe De Nittis, Alberto Marchesi, Nicola Gatti:
Computing the Strategy to Commit to in Polymatrix Games (Extended Version). - Adnan Aijaz, Zaher Dawy, Nikolaos Pappas, Meryem Simsek, Sharief Oteafy, Oliver Holland:
Toward a Tactile Internet Reference Architecture: Vision and Progress of the IEEE P1918.1 Standard. - Aurélie Beynier, Sylvain Bouveret, Michel Lemaître, Nicolas Maudet, Simon Rey:
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods. - Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman
What am I searching for? - Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. - Vahid Mirjalili, Sebastian Raschka, Arun Ross:
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers. - Artyom M. Grigoryan, Aparna John, Sos S. Agaian:
Alpha-rooting color image enhancement method by two-side 2-D quaternion discrete Fourier transform followed by spatial transformation. - Artyom M. Grigoryan, Aparna John, Sos S. Agaian:
A Novel Color Image Enhancement Method by the Transformation of Color Images to 2-D Grayscale Images. - Andrew Ilyas, Logan Engstrom, Aleksander Madry:
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors. - Nicholas G. Polson, Vadim O. Sokolov:
Deep Learning. - Houman Safaai, Arno Onken, Christopher D. Harvey, Stefano Panzeri:
Information Estimation Using Non-Parametric Copulas. - Ulugbek S. Kamilov:
signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization. - Tyler B. Johnson, Carlos Guestrin:
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems. - Yingrui Zhang, Osman Yagan:
Modeling and Analysis of Cascading Failures in Interdependent Cyber-Physical Systems. - Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images. - Shuangyan Wang, Gang Mei:
A Simple and Generic Paradigm for Creating Complex Networks Using the Strategy of Vertex Selecting-and-Pairing. - Kishore Thapliyal, Anirban Pathak:
Quantum e-commerce: A comparative study of possible protocols for online shopping and other tasks related to e-commerce. - Balázs Csanád Csáji, Marco C. Campi, Erik Weyer:
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models. - Franco Bagnoli, Emanuele Bellini, Emanuele Massaro:
A Self-Organized Method for Computing the Epidemic Threshold in Computer Networks. - Mahdi Hajibabaei, Dengxin Dai:
Unified Hypersphere Embedding for Speaker Recognition. - Mélodie Andrieu, Anna E. Frid:
Equidistributed sequences and pure morphic subshifts. - Jesse Geneson:
Metric dimension and pattern avoidance in graphs. - Henrik Ronellenfitsch, Jörn Dunkel, Michael Wilczek:
Optimal noise-canceling networks. - Yubin Park, Joyce C. Ho:
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques. - Balázs Csanád Csáji:
Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models. - Brian Davis:
Predicting the Integer Decomposition Property via Machine Learning. - R. T. Pramod, Harish Katti, S. P. Arun:
Human peripheral blur is optimal for object recognition. - Jian Pan, Jun Tang, Yong Niu:
Fast Two-Dimensional Atomic Norm Minimization in Spectrum Estimation and Denoising. - Mohamed Y. Selim, Ahmad Alsharoa, Ahmed E. Kamal:
Short-term and Long-term Cell Outage Compensation Using UAVs in 5G Networks. - Lapo Cioni, Luca Ferrari:
Enumerative Results on the Schröder Pattern Poset. - Iker Perez, Giuliano Casale:
Approximate Bayesian inference with queueing networks and coupled jump processes. - Jonathan P. Sorenson, Jonathan E. Webster:
Two Algorithms to Find Primes in Patterns. - Li Gao, Marius Junge, Nicholas LaRacuente:
Fisher Information and Logarithmic Sobolev Inequality for Matrix Valued Functions. - Zhaozhong Chen, Christoffer Heckman, Simon Julier, Nisar R. Ahmed:
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization. - Marie-Christine Roubaud, Jean-Marc Lina, Julie Carrier, Bruno Torrésani:
Space-Time Extension of the MEM Approach for Electromagnetic Neuroimaging. - Vedran Dunjko, Yimin Ge, J. Ignacio Cirac:
Computational speedups using small quantum devices. - Mokhtar Z. Alaya, Olga Klopp:
Collective Matrix Completion. - Alexandre Bazin, Laurent Beaudou, Giacomo Kahn, Kaveh Khoshkhah:
Bounding the Number of Minimal Transversals in Tripartite 3-Uniform Hypergraphs. - Esdras Mota, Ana Silva, Leonardo Sampaio Rocha:
Connected greedy coloring H-free graphs. - Allard Hendriksen, Rianne de Heide
Optional Stopping with Bayes Factors: a categorization and extension of folklore results, with an application to invariant situations. - Sattar Vakili, Alexis Boukouvalas:
Decision Variance in Online Learning. - Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava:
Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF. - Kumar Vijay Mishra, Yonina C. Eldar, Eli Shoshan, Moshe Namer, Maxim Meltsin:
A Cognitive Sub-Nyquist MIMO Radar Prototype. - Ajinkya Kadu, Tristan van Leeuwen:
A convex formulation for Discrete Tomography. - Rui Tian:
Detecting gasoline in small public places based on wireless sensor network. - Daniel-Ioan Curiac, Ovidiu Banias, Ioan Borza:
Structural health monitoring with distributed wireless sensor networks. - Stephen Ragain, Alexander Peysakhovich, Johan Ugander:
Improving pairwise comparison models using Empirical Bayes shrinkage. - Danijar Hafner, Dustin Tran, Alex Irpan, Timothy P. Lillicrap, James Davidson:
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors. - Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera:
Automatic Bayesian Density Analysis. - Vuk Marojevic:
C-V2X Security Requirements and Procedures: Survey and Research Directions. - Xiangyu Meng, Arian Houshmand, Christos G. Cassandras:
Multi-Agent Coverage Control with Energy Depletion and Repletion. - Arnak S. Dalalyan, Lionel Riou-Durand:
On sampling from a log-concave density using kinetic Langevin diffusions. - Sergii V. Siryk:
A note on the application of the Guermond-Pasquetti mass lumping correction technique for convection-diffusion problems. - Sushma Kumari:
Topics in Random Matrices and Statistical Machine Learning. - Pol Henarejos, Ana I. Pérez-Neira, Anxo Tato, Carlos Mosquera:
Channel Dependent Mutual Information in Index Modulations. - Anxo Tato, Carlos Mosquera, Pol Henarejos, Ana I. Pérez-Neira:
Practical Implementation of Link Adaptation with Dual Polarized Modulation. - Bas B. L. Penning de Vries, Maarten van Smeden, Rolf H. H. Groenwold:
Propensity score estimation using classification and regression trees in the presence of missing covariate data. - Mingsheng Ying, Yuan Feng:
Model Checking Quantum Systems - A Survey. - Xianglan Jin, Hyoung-Nam Kim:
Deep Learning Detection Networks in MIMO Decode-Forward Relay Channels. - Qingbei Guo, Yuan Zhang, Jaime Lloretz, Burak Kantarci, Winston K. G. Seah:
A Localization Method Avoiding Flip Ambiguities for micro-UAVs with Bounded Distance Measurement Errors. - Shruti Palaskar, Florian Metze:
Acoustic-to-Word Recognition with Sequence-to-Sequence Models. - Soham Chatterjee, Archana Iyer, Satya Avva, Abhai Kollara, Malaikannan Sankarasubbu:
Convolutional Neural Networks In Classifying Cancer Through DNA Methylation. - Devan Sohier, Pablo de Oliveira Castro
Confidence Intervals for Stochastic Arithmetic. - Charith Perera:
Rentable Internet of Things Infrastructure for Sensing as a Service (S2aaS). - Hans Kersting, Timothy John Sullivan, Philipp Hennig:
Convergence Rates of Gaussian ODE Filters. - Nicole Yunger Halpern:
Quantum steampunk: Quantum information, thermodynamics, their intersection, and applications thereof across physics. - Simon Bussy, Mokhtar Z. Alaya
Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data. - Simon Bussy, Raphaël Veil, Vincent Looten, Anita Burgun, Stéphane Gaïffas, Agathe Guilloux, Brigitte Ranque, Anne-Sophie Jannot:
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. - Annamaria Mesaros, Toni Heittola, Tuomas Virtanen:
A multi-device dataset for urban acoustic scene classification. - J. J. P. Veerman, E. Kummel:
Diffusion and consensus on weakly connected directed graphs. - Patryk Orzechowski, Jason H. Moore:
EBIC: an open source software for high-dimensional and big data biclustering analyses. - Xinyi Liu, Artit Wangperawong:
A Collaborative Approach to Angel and Venture Capital Investment Recommendations. - Piyush Pandita, Ilias Bilionis, Jitesh H. Panchal:
Deriving Information Acquisition Criteria For Sequentially Inferring The Expected Value Of A Black-Box Function. - Fei Liang, Cong Shen, Wei Yu, Feng Wu:
Towards Optimal Power Control via Ensembling Deep Neural Networks. - Bastian Seifert, Knut Hüper, Christian Uhl:
Fast cosine transform for FCC lattices. - Abdolrahman Khoshrou, Andre B. Dorsman, Eric J. Pauwels:
SVD-based Visualisation and Approximation for Time Series Data in Smart Energy Systems. - Christophe Dumora, David Auber
Data-Oriented Algorithm for Real-Time Estimation of Flow Rates and Flow Directions in a Water Distribution Network. - Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. - Lingfei Wu, Linzhuo Li, James A. Evans:
Social Connection Induces Cultural Contraction: Evidence from Hyperbolic Embeddings of Social and Semantic Networks. - Jan Hajer
Novelty Detection Meets Collider Physics. - Logan Engstrom, Andrew Ilyas, Anish Athalye:
Evaluating and Understanding the Robustness of Adversarial Logit Pairing. - Raban Iten
Discovering physical concepts with neural networks. - Rozita Teymourzadeh, Yazan Samir Algnabi, Masuri Othman, Md. Shabiul Islam, Mok Vee Hong:
VLSI Implementation of Novel Class of High Speed Pipelined Digital Signal Processing Filter for Wireless Receivers. - Evan Greene, Greg Finak, Raphael Gottardo:
Selective Clustering Annotated using Modes of Projections. - Peter C. St. John, Caleb Phillips, Travis W. Kemper, A. Nolan Wilson, Michael F. Crowley, Mark R. Nimlos, Ross E. Larsen:
Message-passing neural networks for high-throughput polymer screening. - Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Entropic Latent Variable Discovery. - Andreas Blass, Yuri Gurevich:
Witness Algebra and Anyon Braiding. - Antoine Dailly, Julien Moncel, Aline Parreau:
Connected Subtraction Games on Subdivided Stars. - Pete Pratt, Carl P. Dettmann, Woon Hau Chin:
Temporal connectivity in finite networks with non-uniform measures. - Alireza Haqiqatnejad, Farbod Kayhan, Björn E. Ottersten:
Power Minimizer Symbol-Level Precoding: A Closed-Form Sub-Optimal Solution. - Ashutosh K. Maurya:
Learning low dimensional word based linear classifiers using Data Shared Adaptive Bootstrap Aggregated Lasso with application to IMDb data. - Bastian Seifert, Katharina Korn, Steffen Hartmann, Christian Uhl:
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series. - Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano:
Experimental Implementation of a Quantum Autoencoder via Quantum Adders. - Natalia Moiseienko, Mykhailo Moiseienko, Serhiy Semerikov:
The mobile information and educational environment of higher educational institution. - Svitlana V. Shokaliuk, Oksana M. Markova, Serhiy O. Semerikov:
SageMathCloud as the Learning Tool Cloud Technologies of the Computer-Based Studying Mathematics and Informatics Disciplines. - Yevhenii O. Modlo, Yuliia V. Yechkalo, Serhiy O. Semerikov, Viktoriia Tkachuk:
Using technology of augmented reality in a mobile-based learning environment of the higher educational institution. - Xiao-Hang Cheng, Tasio Gonzalez-Raya, Xi Chen, Mikel Sanz, Enrique Solano:
Quantized Hodgkin-Huxley Model for Quantum Neurons. - Igor Gotlibovych, Stuart Crawford, Dileep Goyal, Jiaqi Liu, Yaniv Kerem, David Benaron, Defne Yilmaz, Gregory Marcus
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables. - Dima Grigoriev:
Tropical recurrent sequences. - Igor L. Markov, Aneeqa Fatima, Sergei V. Isakov, Sergio Boixo:
Quantum Supremacy Is Both Closer and Farther than It Appears. - Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan:
MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach. - Manfred Scheucher:
On Disjoint Holes in Point Sets. - Shubham Toshniwal, Anjuli Kannan, Chung-Cheng Chiu, Yonghui Wu, Tara N. Sainath, Karen Livescu:
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech Recognition. - Augustus Odena, Ian J. Goodfellow:
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing. - Gustav Eje Henter, Simon King, Thomas Merritt, Gilles Degottex:
Analysing Shortcomings of Statistical Parametric Speech Synthesis. - Wenwen Min, Juan Liu, Shihua Zhang:
Group-sparse SVD Models and Their Applications in Biological Data. - Jan Hubicka, Matej Konecný, Jaroslav Nesetril:
A combinatorial proof of the extension property for partial isometries. - Hanchen Xu, Alejandro D. Domínguez-García, Peter W. Sauer:
Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning. - Harsha Nagarajan, Kaarthik Sundar, Hassan L. Hijazi, Russell Bent:
Convex Hull Formulations for Mixed-Integer Multilinear Functions. - Yuan Zhang:
Consistent polynomial-time unseeded graph matching for Lipschitz graphons. - Mingzhang Yin, Mingyuan Zhou:
ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models. - Gert Dekkers, Lode Vuegen, Toon van Waterschoot, Bart Vanrumste, Peter Karsmakers:
DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics. - Pavel Denisov, Ngoc Thang Vu, Marc Ferras Font:
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition. - Mostafa Darvishi, Yves Audet, Yves Blaquière:
Delay Monitor Circuit for Sensitive Nodes in SRAM-Based FPGA. - Rishi Sharma, Amir Barati Farimani, Joe Gomes, Peter K. Eastman, Vijay S. Pande:
Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss. - Andreas Blass, Yuri Gurevich:
Coherence for braided distributivity. - Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager:
Local Linear Forests. - Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber:
Factor analysis of dynamic PET images: beyond Gaussian noise. - Gustav Eje Henter, Xin Wang, Junichi Yamagishi:
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis. - Jack A. Spencer:
A Restricted-Domain Dual Formulation for Two-Phase Image Segmentation. - Deborah Cohen, Yonina C. Eldar:
Sub-Nyquist Radar Systems: Temporal, Spectral and Spatial Compression. - Monica Hernandez:
Efficient Gauss-Newton-Krylov momentum conservation constrained PDE-LDDMM using the band-limited vector field parameterization. - Hakim Ghazzai, Mahdi Ben Ghorbel, Andreas Kassler, Md. Jahangir Hossain:
Trajectory Optimization for Cooperative Dual-band UAV Swarms. - Mingsheng Ying:
Toward Automatic Verification of Quantum Programs. - Vida Dujmovic, Ken-ichi Kawarabayashi, Bojan Mohar, David R. Wood:
Tight Upper Bounds on the Crossing Number in a Minor-Closed Class. - Hieu-Thi Luong, Junichi Yamagishi:
Scaling and bias codes for modeling speaker-adaptive DNN-based speech synthesis systems. - Cesar N. Yahia, Shannon E. Scott, Stephen D. Boyles, Christian G. Claudel:
Unmanned Aerial Vehicle Path Planning for Traffic Estimation and Detection of Non-Recurrent Congestion. - Yi Zhao, Shinji Takaki, Hieu-Thi Luong, Junichi Yamagishi, Daisuke Saito, Nobuaki Minematsu:
Wasserstein GAN and Waveform Loss-based Acoustic Model Training for Multi-speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder. - Hugo Lhachemi, David Saussié, Guchuan Zhu, Robert Shorten:
Input-to-State Stability of a Clamped-Free Damped String in the Presence of Distributed and Boundary Disturbances. - Soumitro Chakrabarty, Emanuël Anco Peter Habets:
Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals. - Yanjun Han, Guanyang Wang:
Expectation of the Largest Betting Size in Labouchère System. - Michele Tizzani, Simone Lenti, Enrico Ubaldi, Alessandro Vezzani, Claudio Castellano, Raffaella Burioni:
Epidemic Spreading and Aging in Temporal Networks with Memory. - Saveliy V. Skresanov:
On subgroups of minimal index. - Judy Y. Fong, Michal Borsky, Inga Rún Helgadóttir, Jón Guðnason:
Manual Post-editing of Automatically Transcribed Speeches from the Icelandic Parliament - Althingi. - Narad Rampersad, Manon Stipulanti
The Formal Inverse of the Period-Doubling Sequence. - Michael Andrews, Manfred Paulini
End-to-End Physics Event Classification with the CMS Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the LHC. - Celalettin Umit Bas, Rui Wang, Seun Sangodoyin, Dimitris Psychoudakis, Thomas Henige, Robert Monroe, Jeongho Park, Jianzhong Zhang, Andreas F. Molisch:
Real-Time Millimeter-Wave MIMO Channel Sounder for Dynamic Directional Measurements. - Mark M. Wilde:
Entanglement cost and quantum channel simulation. - Ovidiu Banias, Daniel-Ioan Curiac, Radu-Emil Precup:
Sensor Networks Architecture for Vehicles and Pedestrians Traffic Control. - Carlos A. Pérez-Delgado, Sai Vinjanampathy:
Quantum Correlations Can Speed Up All Classical Computation. - Erik Burman, Peter Hansbo, Mats G. Larson, André Massing, Sara Zahedi:
A Stabilized Cut Streamline Diffusion Finite Element Method for Convection-Diffusion Problems on Surfaces. - Ceren Gürkan
A stabilized cut discontinuous Galerkin framework: II. Hyperbolic problems. - Hartmut Klauck, Debbie Lim:
The Power of One Clean Qubit in Communication Complexity. - Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamás Keviczky:
Continuous-Time Accelerated Methods via a Hybrid Control Lens. - André R. Fioravanti, Jakub Marecek, Robert N. Shorten, Matheus Souza, Fabian R. Wirth:
On the Ergodic Control of Ensembles. - Brice Huang, Mustazee Rahman
On the Local Geometry of Graphs in Terms of Their Spectra. - Raj Thilak Rajan
Relative kinematics of an anchorless network.
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