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BigData Conference 2019: Los Angeles, CA, USA
- Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye:
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0858-2 - Ramanathan V. Guha:
DataCommons. 1 - Lise Getoor:
Responsible Data Science. 1 - Qiang Yang:
Federated Recommendation Systems. 1 - Ling Liu:
Deception, Robustness and Trust in Big Data Fueled Deep Learning Systems. 3 - Judea Pearl:
The new science of cause and effect, with reflections on data science and artificial intelligence. 4 - Adil Alim, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Uncertainty-Aware Opinion Inference Under Adversarial Attacks. 6-15 - Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
:
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent. 16-25 - Chandrajit Bajaj, Yi Wang, Tianming Wang:
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix. 26-35 - Benedikt T. Boenninghoff, Steffen Hessler, Dorothea Kolossa
Explainable Authorship Verification in Social Media via Attention-based Similarity Learning. 36-45 - Huiyuan Chen, Jing Li
Finding Stable Clustering for Noisy Data via Structure-Aware Representation. 46-55 - Enmao Diao
Restricted Recurrent Neural Networks. 56-63 - Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. 64-73 - Soumyajit Gupta, Chandrajit Bajaj:
A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. 74-83 - So Hirai, Kenji Yamanishi
Detecting Model Changes and their Early Warning Signals Using MDL Change Statistics. 84-93 - Wenqing Hu, Chris Junchi Li, Xiang Zhou:
On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization. 94-104 - Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. 105-114 - Wafaa Mebrek, Badran Raddaoui, Mohamad Albilani:
On Relaxing Failing Queries over RDF Databases. 115-124 - Van-Son Nguyen, Duc-Tung Nguyen, Ngo Van Linh
Infinite Dropout for training Bayesian models from data streams. 125-134 - Hankui Peng
Subspace Clustering with Active Learning. 135-144 - Riazat Ryan, Handong Zhao, Ming Shao
CTC-Attention based Non-Parametric Inference Modeling for Clinical State Progression. 145-154 - Ruchi Shah, Shaoshuai Zhang, Ying Lin, Panruo Wu
xSVM: Scalable Distributed Kernel Support Vector Machine Training. 155-164 - Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter
HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. 165-179 - Benedetto Buratti, Eli Upfal:
Ordalia: Deep Learning Hyperparameter Search via Generalization Error Bounds Extrapolation. 180-187 - Can Chen, Yijun Wang, Guoan Huang, Hui Xiong:
Hierarchical Demand Forecasting for Factory Production of Perishable Goods. 188-193 - Lijiang Geng, Yishu Xue, Guanyu Hu:
Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting. 194-199 - Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray, Michael G. Kahn:
An Interactive Data Quality Test Approach for Constraint Discovery and Fault Detection. 200-205 - Diego Klabjan, Mark Harmon:
Activation Ensembles for Deep Neural Networks. 206-214 - Rui Li, Fenglong Ma, Wenjun Jiang, Jing Gao:
Online Federated Multitask Learning. 215-220 - Xiang Liu, Huyunting Huang, Ziyang Tang
Sparse Block Regression (SBR) for Big Data with Categorical Variables. 221-226 - Michael Nelson, Sridhar Radhakrishnan, Chandra N. Sekharan:
Algorithms on Compressed Time-Evolving Graphs. 227-232 - R. Uday Kiran, C. Saideep, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Partial Periodic Spatial Patterns in Spatiotemporal Databases. 233-238 - Zhuoyi Wang, Bo Dong, Yu Lin, Yigong Wang, Md Shihabul Islam, Latifur Khan
Co-Representation Learning Framework For the Open-Set Data Classification. 239-244 - Ye Xue, Diego Klabjan, Yuan Luo
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension. 245-252 - Sumedh Yadav, Mathis Bode:
A discrete mathematics approach for large scale improvement in classification training time. 253-259 - Peifeng Yin, Lei Huang, Sunhwan Lee, Mu Qiao, Shubhi Asthana, Taiga Nakamura:
Diagnosis of Neural Network via Backward Deduction. 260-267 - Ronald Barber, Adam J. Storm, Yuanyuan Tian, Pinar Tözün, Yingjun Wu, Christian Garcia-Arellano, Ronen Grosman, Guy M. Lohman, C. Mohan, René Müller, Hamid Pirahesh, Vijayshankar Raman, Richard Sidle:
WiSer: A Highly Available HTAP DBMS for IoT Applications. 268-277 - Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster. 278-287 - Conghui He, Shijie Sun, Benli Li, Xiaogang Tu, Donghai Yu:
Finding Mutual X at WeChat-Scale Social Network in Ten Minitues. 288-297 - Yu-Tung Hsieh, Chuan-Yu Lee, Ching-Chi Lin
A Bicameralism Voting Framework for Combining Knowledge from Clients into Better Prediction. 298-306 - Saiyedul Islam, Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Achal Agarwal, Kirti Singh Rathore, Nischay Singh:
Rapid Prototyping of Hierarchical Agglomerative Clustering Algorithms for Distributed Systems. 307-316 - Evdokia Kassela, Nikodimos Provatas, Ioannis Konstantinou
General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones. 317-326 - Emine Ugur Kaynar, Mania Abdi
D3N: A multi-layer cache for the rest of us. 327-338 - Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah:
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning. 339-348 - Abbas Mazloumi, Xiaolin Jiang
MultiLyra: Scalable Distributed Evaluation of Batches of Iterative Graph Queries. 349-358 - Phanwadee Sinthong
AFrame: Extending DataFrames for Large-Scale Modern Data Analysis. 359-371 - Ahmad Slo, Sukanya Bhowmik, Albert Flaig, Kurt Rothermel:
pSPICE: Partial Match Shedding for Complex Event Processing. 372-382 - Joshua Suetterlein
TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. 383-394 - Kentaroh Toyoda
Mechanism Design for An Incentive-aware Blockchain-enabled Federated Learning Platform. 395-403 - Wei Xiao:
Novel Online Algorithms for Nonparametric Correlations with Application to Analyze Sensor Data. 404-412 - Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, Dingwen Tao
Elastic Executor Provisioning for Iterative Workloads on Apache Spark. 413-422 - Wei Zhou, K. Preston White, Hongfeng Yu:
Eirene: Improving Short Job Latency Performance with Coordinated Cold Data Migration and Scheduler-Aware Task Cloning. 423-432 - Cesare Cugnasco
The OTree: Multidimensional Indexing with efficient data Sampling for HPC. 433-440 - Roshan Bharath Das, Marc X. Makkes
Aves: A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices. 441-448 - Manuel Dossinger
Scaling Out Multi-Way Stream Joins using Optimized, Iterative Probing. 449-456 - Pradeeban Kathiravelu, Yusuf Nadir Saghar, Tushar Aggarwal, Ashish Sharma:
Data Services with Bindaas: RESTful Interfaces for Diverse Data Sources. 457-462 - Johannes Luong
DataCalc: Ad-hoc Analyses on Heterogeneous Data Sources. 463-468 - Pedro Silva, Alexandru Costan
Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing. 469-474 - Jianping Zeng, Hongfeng Yu:
Effectively Unified optimization for Large-scale Graph Community Detection. 475-482 - Langshi Chen, Jiayu Li, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu:
SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. 483-492 - Kun Feng, Hariharan Devarajan
NIOBE: An Intelligent I/O Bridging Engine for Complex and Distributed Workflows. 493-502 - Hairi, Hanghang Tong
NetDyna: Mining Networked Coevolving Time Series with Missing Values. 503-512 - Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong
G-Finder: Approximate Attributed Subgraph Matching. 513-522 - Qizhong Mao, Steven Jacobs, Waleed Amjad, Vagelis Hristidis, Vassilis J. Tsotras
Experimental Evaluation of Bounded-Depth LSM Merge Policies. 523-532 - Jinghan Meng, Napath Pitaksirianan, Yicheng Tu:
Generalizing Design of Support Measures for Counting Frequent Patterns in Graphs. 533-542 - Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach. 543-552 - Minh-Huong Le Nguyen, Heitor Murilo Gomes
Semi-supervised Learning over Streaming Data using MOA. 553-562 - Lais M. A. Rocha, Aline Bessa, Fernando Chirigati, Eugene OFriel, Mirella M. Moro
Understanding Spatio-Temporal Urban Processes. 563-572 - Lanyu Shang
VulnerCheck: A Content-Agnostic Detector for Online Hatred-Vulnerable Videos. 573-582 - Feng Yu, Wen-Chi Hou:
CS*: Approximate Query Processing on Big Data using Scalable Join Correlated Sample Synopsis. 583-592 - Jingwei Zuo
Incremental and Adaptive Feature Exploration over Time Series Stream. 593-602 - Cecile Daniel, Angelo Furno, Eugenio Zimeo:
Cluster-based Computation of Exact Betweenness Centrality in Large Undirected Graphs. 603-608 - Erika Duriakova, Deepak Ajwani, Neil Hurley:
Engineering a Parallel Δ-stepping Algorithm. 609-616 - George H. L. Fletcher, Alexandra Poulovassilis, Petra Selmer, Peter T. Wood
Approximate Querying for the Property Graph Language Cypher. 617-622 - Thomas Gschwind, Christoph Miksovic, Julian Minder, Katsiaryna Mirylenka
Fast Record Linkage for Company Entities. 623-630 - Zhixiang He
GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences. 631-636 - Tasnim Kabir, Muhammad Abdullah Adnan
A Scalable Algorithm for Multi-class Support Vector Machine on Geo-Distributed Datasets. 637-642 - Nikki Lijing Kuang, Clement H. C. Leung:
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines. 643-650 - Prabhat Mishra, Suresh Kumar Gudla, Amogha D. ShanBhag, Joy Bose
Enhanced Alternate Action Recommender System Using Recurrent Patterns and Fault Detection System for Smart Home Users. 651-656 - Minh Pham, Craig A. Knoblock, Jay Pujara:
Learning Data Transformations with Minimal User Effort. 657-664 - Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin:
SENSE: Semantically Enhanced Node Sequence Embedding. 665-670 - Fotis Savva, Christos Anagnostopoulos
Aggregate Query Prediction under Dynamic Workloads. 671-676 - Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao:
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. 677-682 - Di Wu, Yi He
Online Feature Selection with Capricious Streaming Features: A General Framework. 683-688 - Kun Xie, Che-Rung Lee, Feng-Yuan Liu:
Performance Optimization of SpMV on Spark. 689-694 - Danfeng Yan, Jiyuan Chen, Jianfei Cui, Ao Shan, Wenting Shi:
Deep Multi-Head Attention Network for Aspect-Based Sentiment Analysis. 695-700 - Esra Akbas
Index Based Efficient Algorithms For Closest Community Search. 701-710 - Eugenio Angriman, Alexander van der Grinten, Henning Meyerhenke:
Local Search for Group Closeness Maximization on Big Graphs. 711-720 - Huiyuan Chen, Jing Li
Collaborative Ranking Tags and Items via Cross-domain Recommendation. 721-730 - Huiyuan Chen, Jing Li
Collective Tensor Completion with Multiple Heterogeneous Side Information. 731-740 - Wenjing Fang, Chaochao Chen
Adapted Tree Boosting for Transfer Learning. 741-750 - Yang Gao, Yi-Fan Li, Bo Dong, Yu Lin, Latifur Khan
SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics. 751-760 - Heitor Murilo Gomes
Feature Scoring using Tree-Based Ensembles for Evolving Data Streams. 761-769 - Justus Hibshman
Towards Interpretable Graph Modeling with Vertex Replacement Grammars. 770-779 - Najib Ishaq, George Student, Noah M. Daniels:
Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data. 780-789 - Shayan Jawed, Ahmed Rashed, Lars Schmidt-Thieme
Multi-step Forecasting via Multi-task Learning. 790-799 - Hyunsik Jeon, Bonhun Koo, U Kang:
Data Context Adaptation for Accurate Recommendation with Additional Information. 800-809 - Shunsuke Kanda, Yasuo Tabei:
b-Bit Sketch Trie: Scalable Similarity Search on Integer Sketches. 810-819 - Rachel Krohn, Tim Weninger:
Modelling Online Comment Threads from their Start. 820-829 - Sunwoo Lee
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. 830-839 - Chen Lin, Julie S. Ivy, Min Chi:
Multi-layer Facial Representation Learning for Early Prediction of Septic Shock. 840-849 - Zhiwei Liu
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. 850-859 - Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee:
Predicting Influence Probabilities using Graph Convolutional Networks. 860-869 - Huanrui Luo, Ning Yang, Philip S. Yu:
Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations. 870-879 - Nicholas O. Malott, Philip A. Wilsey:
Fast Computation of Persistent Homology with Data Reduction and Data Partitioning. 880-889 - Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia:
High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models. 890-899 - Prarthana Padia, Kwan Hui Lim, Jeffrey Chan, Aaron Harwood:
Sentiment-Aware and Personalized Tour Recommendation. 900-909 - Ziyue Qiao
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding. 910-919 - Shaina Raza
News Recommender System Considering Temporal Dynamics and News Taxonomy. 920-929 - Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Patient-level Classification on Clinical Note Sequences Guided by Attributed Hierarchical Attention. 930-939 - Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
RecANt: Network-based Recruitment for Active Fake News Correction. 940-949 - Panagiotis Tampakis
Scalable Distributed Subtrajectory Clustering. 950-959 - Yufan Wang, Tingting He, Rui Fan
Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model. 960-967 - Jian Wen, Zhongbao Zhang, Zichang Yin, Li Sun, Sen Su, Philip S. Yu:
DeepBlue: Bi-layered LSTM for tweet popUlarity Estimation. 968-977 - Yuxin Xiao, Zecheng Zhang
Non-local Attention Learning on Large Heterogeneous Information Networks. 978-987 - Mingxuan Yue, Yaguang Li, Haoze Yang, Ritesh Ahuja, Yao-Yi Chiang, Cyrus Shahabi:
DETECT: Deep Trajectory Clustering for Mobility-Behavior Analysis. 988-997 - Si Zhang, Hanghang Tong
ORIGIN: Non-Rigid Network Alignment. 998-1007 - Qinghai Zhou, Liangyue Li, Hanghang Tong
Towards Real Time Team Optimization. 1008-1017 - Yang Zhou, Chao Jiang
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. 1018-1027 - Ali Assi, Hamid Mcheick
BIGMAT: A Distributed Affinity-Preserving Random Walk Strategy for Instance Matching on Knowledge Graphs. 1028-1033 - Sreyasee Das Bhattacharjee, William J. Tolone, Roy Cheria, Urmimala Sarkar:
Multimodal, Context-Aware, Feature Representation Learning for Classification and Localization. 1034-1039 - Dihia Boulegane, Albert Bifet, Giyyarpuram Madhusudan:
Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams. 1040-1045 - Zhengyu Chen, Sibo Gai, Donglin Wang:
Deep Tensor Factorization for Multi-Criteria Recommender Systems. 1046-1051 - Manoj Reddy Dareddy, Mahashweta Das, Hao Yang:
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks. 1052-1059 - Charalampos Davalas
Graph matching on social networks without any side information. 1060-1065 - Shiyuan Deng, Xiao Yan, Kelvin Kai Wing Ng, Chenyu Jiang, James Cheng:
Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. 1066-1071 - Veronika Domova, Shiva Sander-Tavallaey
Visualization for Quality Healthcare: Patient Flow Exploration. 1072-1079 - Tingting Dong, Shoji Nishimura, Jianquan Liu:
Refining Image Search Results using Multiple Attributes. 1080-1087 - Bowen Dong, Charu C. Aggarwal, Philip S. Yu:
The Link Regression Problem in Graph Streams. 1088-1095 - Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. 1096-1102 - Yuwei Fu, Yun Xiong, Philip S. Yu, Tianyi Tao, Yangyong Zhu:
Metapath Enhanced Graph Attention Encoder for HINs Representation Learning. 1103-1110 - Jiechao Gao
Task Failure Prediction in Cloud Data Centers Using Deep Learning. 1111-1116 - Lodovico Giaretta
Gossip Learning: Off the Beaten Path. 1117-1124 - Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Visual Anomaly Detection in Event Sequence Data. 1125-1130 - Yi Han
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. 1131-1136 - Song-Eun Lee, Kang-Min Kim
From Text Classification to Keyphrase Extraction for Short Text. 1137-1142 - Jay Lewis, Ryan G. Benton
Enhancing Itemset Tree Rules and Performance. 1143-1150 - Gen Li, Li Sun, Zhongbao Zhang, Pengxin Ji, Sen Su, Philip S. Yu:
MC2: Unsupervised Multiple Social Network Alignment. 1151-1156 - Lin Li, Daniel L. Sussman
Graph Matching via Multi-Scale Heat Diffusion. 1157-1162 - Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. 1163-1168 - Lin Meng, Jiyang Bai, Jiawei Zhang:
LATTE: Application Oriented Social Network Embedding. 1169-1174 - Linh Nguyen, Tsukasa Ishigaki:
D2D-TM: A Cycle VAE-GAN for Multi-Domain Collaborative Filtering. 1175-1180 - Nasheen Nur, Noseong Park, Kookjin Lee, Hyunjoong Kang, Soonhyeon Kwon:
Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients. 1181-1186 - Yu Pan, Feiyu Zhu, Tian Gao
Adaptive Deep Learning based Time-Varying Volume Compression. 1187-1194 - Mahardhika Pratama
Weakly Supervised Deep Learning Approach in Streaming Environments. 1195-1202 - Kaivalya Rawal, Arijit Khan
Maximizing Contrasting Opinions in Signed Social Networks. 1203-1210 - Amila Silva
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. 1211-1217 - Hongyu Sun, Qiang He, Kewen Liao
Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams. 1218-1223 - Li Sun, Zhongbao Zhang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu:
DNA: Dynamic Social Network Alignment. 1224-1231 - Xiancai Tian, Baihua Zheng
Study Group Travel Behaviour Patterns From Large-Scale Smart Card Data. 1232-1237 - Mohamed Trabelsi, Brian D. Davison, Jeff Heflin
Improved Table Retrieval Using Multiple Context Embeddings for Attributes. 1238-1244 - Xiaokai Wei, Zhiwei Liu, Lichao Sun
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. 1245-1250 - Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenichi Nagamatsu, Katsuki Fujisawa
Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System. 1251-1258 - Jiawei Zhang, Bowen Dong, Philip S. Yu:
Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks. 1259-1266 - Yang Zhou, Jiaxiang Ren, Sixing Wu
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. 1267-1273 - Feiyu Zhu, Yu Pan, Tian Gao
Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping. 1274-1281 - Ka Ho Chow, Wenqi Wei, Yanzhao Wu
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks. 1282-1291 - Sunny Dhamnani, Dhruv Singal, Ritwik Sinha, Tharun Mohandoss, Manish Dash:
RAPID: Rapid and Precise Interpretable Decision Sets. 1292-1301 - Jiahao Ding, Xinyue Zhang
Differentially Private Robust ADMM for Distributed Machine Learning. 1302-1311 - Zhi Feng, Jun Huan, Haoyi Xiong
SecureGBM: Secure Multi-Party Gradient Boosting. 1312-1321 - André T. Nguyen, Edward Raff
Would a File by Any Other Name Seem as Malicious? 1322-1331 - Axel Oehmichen
OPAL: High performance platform for large-scale privacy-preserving location data analytics. 1332-1342 - Shuhan Yuan
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. 1343-1350 - Haoti Zhong, Hao Li, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer, David J. Miller:
Toward Image Privacy Classification and Spatial Attribution of Private Content. 1351-1360 - Esteban Guillen, Trilce Estrada
DeepManner: Automatically Determining Manner of Death. 1361-1366 - Jerome Dinal Herath, Changxin Bai
RAMP: Real-Time Anomaly Detection in Scientific Workflows. 1367-1374 - Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi:
FAE: A Fairness-Aware Ensemble Framework. 1375-1380 - Zhongyuan Jiang, Jianfeng Ma, Philip S. Yu:
Walk2Privacy: Limiting target link privacy disclosure against the adversarial link prediction. 1381-1388 - Kangsoo Jung, Seog Park:
Privacy Bargaining with Fairness: Privacy-Price Negotiation System for Applying Differential Privacy in Data Market Environments. 1389-1394 - Tsubasa Takahashi:
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks. 1395-1400 - Depeng Xu
FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. 1401-1406 - Yu-Chen Wu, Mi-Yen Yeh
Fast Frequent Pattern Mining without Candidate Generations on GPU by Low Latency Memory Allocation. 1407-1416 - David C. Mainenti
Big data and traditional Chinese medicine (TCM): What's state of the art? 1417-1422 - Azim Ahmadzadeh
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. 1423-1431 - Theo Carr, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu
Into the Reverie: Exploration of the Dream Market. 1432-1441 - Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo:
Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia. 1442-1449 - Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. 1450-1459 - Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, Jincai Huang:
Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. 1460-1469 - Ahmed Lasisi, Antonio Merheb, Allan Zarembski, Nii O. Attoh-Okine:
Rail Track Quality and T-Stochastic Neighbor Embedding for Hybrid Track Index. 1470-1477 - Hadi Mansourifar, Lin Chen, Weidong Shi:
Virtual Big Data for GAN Based Data Augmentation. 1478-1487 - Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman
Exascale Deep Learning to Accelerate Cancer Research. 1488-1496 - Rajesh Sharma, Artem Mateush, Jaan Übi:
Tale of Three States: Analysis of Large Person-to-Person Online Financial Transactions in Three Baltic Countries. 1497-1505 - Qiyao Wang, Haiyan Wang, Chetan Gupta, Susumu Serita:
Regularized Operating Envelope with Interpretability and Implementability Constraints. 1506-1516 - Xiaoxiao Wang
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration. 1517-1526 - Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He
ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification. 1527-1536 - Yuxin Wen, Jizhou Huang
Learning to Discover Curbside Parking Spaces from Vehicle Trajectories. 1537-1546 - Zhiyuan Wu, Yue Wang, Lin Zhang:
MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution Prediction. 1547-1556 - Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou:
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. 1557-1566 - Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang:
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. 1567-1576 - Yang Zhou, Yan Huang
Place Representation Based Bike Demand Prediction. 1577-1586 - Zainab Abbas, Jon Reginbald Ivarsson, Ahmad Al-Shishtawy
Scaling Deep Learning Models for Large Spatial Time-Series Forecasting. 1587-1594 - Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Claudia Plant
Similarity hashing for charged particle tracking. 1595-1600 - Amir Atapour Abarghouei
A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. 1601-1606 - Anirban Bhattacharjee
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications. 1607-1612 - Laurent Caraffa, Pooran Memari
Tile & Merge: Distributed Delaunay Triangulations for Cloud Computing. 1613-1618 - Brian Chen, Hwee-Pink Tan, Iris Rawtaer
Objective Sleep Quality as a Predictor of Mild Cognitive Impairment in Seniors Living Alone. 1619-1624 - Yousu Chen
Big Data Analytic for Cascading Failure Analysis. 1625-1630 - Macario O. Cordel II:
Modeling human attention by learning from large amount of emotional images. 1631-1636 - Nik Dawson, Marian-Andrei Rizoiu
Adaptively selecting occupations to detect skill shortages from online job ads. 1637-1643 - Bo Dong, Jinghui Guo, Zhuoyi Wang, Rong Wu, Yang Gao, Latifur Khan
Regression Prediction For Geolocation Aware Through Relative Density Ratio Estimation. 1644-1649 - Nicholas E. Johnson, Pablo Mandiola, Cyrus Blankinship, Bartosz J. Bonczak
Validating the Use of Wi-Fi Signals to Estimate Hyperlocal Urban Populations. 1650-1655 - Yu Kitano, Satoshi Kuwamoto, Akinori Asahara:
OD-network-based Pedestrian-path Prediction for People-flow Simulation. 1656-1661 - Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son:
AD2: Improving Quality of IoT Data through Compressive Anomaly Detection. 1662-1668 - Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu:
Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data. 1669-1674 - Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He
Unsupervised Conditional Adversarial Networks for Tax Evasion Detection. 1675-1680 - Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He
TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning. 1681-1686 - Diwen Xue, Willie Yee, Yueping Wang, Suzanne McIntosh:
Implementing a Domain-Independent Framework to Detect Suspicious Review Patterns. 1687-1692 - Sakura Yamaki, Shou-de Lin, Wataru Kameyama:
Detection of Anomaly State Caused by Unexpected Accident using Data of Smart Card for Public Transportation. 1693-1698 - Kun Yang, Xuhui Chen, Pan Li
Data Streaming Analysis Framework for Through-time 3D Free-breathing Liver DCE-MRI. 1699-1704 - Wei Zhang
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting. 1705-1710 - Shuai Zhao, Achir Kalra, Chong Wang, Cristian Borcea, Yi Chen:
Ad Blocking Whitelist Prediction for Online Publishers. 1711-1716 - Baoxin Zhao, Chengzhong Xu
A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales. 1717-1722 - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora:
Attributed Sequence Embedding. 1723-1728 - Kareem S. Aggour
Federated Multimodal Big Data Storage & Analytics Platform for Additive Manufacturing. 1729-1738 - Amey Agrawal
Delog: A High-Performance Privacy Preserving Log Filtering Framework. 1739-1748 - Yuanzhe Bei, Thao Pham, Akshay Aggarwal, Nga Tran, Jaimin Dave, Chuck Bear, Michael Leuchtenburg:
Vertica Flattened Tables and Live Aggregate Projections: A Column-based Alternative to Materialized Views for Analytics. 1749-1758 - Junghoon Chae, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan, Chad A. Steed:
Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations. 1759-1764 - Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. 1765-1773 - Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos:
seq2graph: Discovering Dynamic Non-linear Dependencies from Multivariate Time Series. 1774-1783 - Nassia Daouayry, Ammar Mechouche, Pierre-Loic Maisonneuve, Vasile-Marian Scuturici, Jean-Marc Petit:
Data-Centric Helicopter Failure Anticipation: The MGB Oil Pressure Virtual Sensor Case. 1784-1793 - Masaharu Goto, Naoki Kobayashi, Gang Ren, Mitsunori Ogihara
Scaling Up Heterogeneous Waveform Clustering for Long-Duration Monitoring Signal Acquisition, Analysis, and Interaction: Bridging Big Data Analytics with Measurement Instrument Usage Pattern. 1794-1803 - Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard:
High-Resolution Road Vehicle Collision Prediction for the City of Montreal. 1804-1813 - Miro Hodak, Masha Gorkovenko, Ajay Dholakia:
Towards Power Efficiency in Deep Learning on Data Center Hardware. 1814-1820 - Geert Janssen, Vladimir Zolotov, Tung D. Le:
Large Data Flow Graphs in Limited GPU Memory. 1821-1830 - Chandrika Kamath:
Intelligent Exploration of Large-Scale Data: What Can We Learn in Two Passes? 1831-1840 - Chaitanya Kanchibhotla, Pruthviraj Venkatesh, Durvasula V. L. N. Somayajulu, P. Radha Krishna:
An Efficient Cloud-Based Framework for Digital Media Knowledge Extraction. 1841-1850 - Ishita K. Khan, Aritra Mandal, Prathyusha Senthil Kumar:
Contextual Price Features for e-Commerce Search Ranking. 1851-1857 - Christian J. Mahoney, Jianping Zhang, Nathaniel Huber-Fliflet, Peter Gronvall, Haozhen Zhao:
A Framework for Explainable Text Classification in Legal Document Review. 1858-1867 - Saurav Manchanda, Pranjul Yadav, Khoa D. Doan
Targeted display advertising: the case of preferential attachment. 1868-1877 - Ye Ouyang
MNP Inside Out: A Game Theory Assisted Machine Learning Model to Detect Subscriber Churn Behaviors under China's Mobile Number Portability Policy. 1878-1886 - Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi:
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. 1887-1896 - Philipp Ross
EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud. 1897-1906 - Sangaralingam Kajanan, Nisha Verma, Aravind Ravi, Su Won Bae, Anindya Datta:
High Value Customer Acquisition & Retention Modelling - A Scalable Data Mashup Approach. 1907-1916 - Amir Yaghoubi Shahir, Mohammad A. Tayebi, Uwe Glässer, Tilemachos Charalampous, Zahra Zohrevand, Hans Wehn:
Mining Vessel Trajectories for Illegal Fishing Detection. 1917-1927 - Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. 1928-1937 - Sören Stöhrmann, Vera Kamp, Reinhard Moratz:
The Conceptual Background of OPTIMIST's AI Module. 1938-1945 - Qi Wang, Michal Siedlaczek
Forward Index Compression for Instance Retrieval in an Augmented Reality Application. 1946-1952 - Jingya Wang, Kareem Abdelfatah, Mohammed Korayem, Janani Balaji:
DeepCarotene -Job Title Classification with Multi-stream Convolutional Neural Network. 1953-1961 - Vivian Wen Hui Wong, Max Ferguson, Kincho H. Law, Yung-Tsun Tina Lee:
An Assistive Learning Workflow on Annotating Images for Object Detection. 1962-1970 - Yanzhao Wu
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. 1971-1980 - Pranjul Yadav, Michael S. Steinbach
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. 1981-1990 - Xiao Zhang, Manish Marwah, I-Ta Lee, Martin F. Arlitt, Dan Goldwasser:
ACE - An Anomaly Contribution Explainer for Cyber-Security Applications. 1991-2000 - Fahad Alhasoun, Marta C. González:
Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development. 2001-2006 - Su Won Bae, Aravind Ravi, Sangaralingam Kajanan, Nisha Verma, Anindya Datta, Varun Chugh:
Suspicious Location Detection Using Trajectory Analysis & Location Backfilling - A Scalable Approach. 2007-2010 - Nicholas Becker, Ayush Dattagupta, Eli Fajardo, Prem Gali, Bianca Rhodes, Bartley Richardson, Bhargav Suryadevara:
Streamlined and Accelerated Cyber Analyst Workflows with CLX and RAPIDS. 2011-2015 - Neil Brockett, Catriona Clarke, Michele Berlingerio, Sourav Dutta
A System for Analysis and Remediation of Attrition. 2016-2019 - Yu Cheng, Shuo Yang
An Interactive Online Audience Extension System. 2020-2023 - Ruihong Huang, Zhiwei Chen, Zhicheng Liu, Shaoxu Song
TsOutlier: Explaining Outliers with Uniform Profiles over IoT Data. 2024-2027 - David J. Huber, Samuel D. Johnson, Nigel Stepp, Aruna Jammalamadaka, Dana Warmsley, Tiffany Kim, Tsai-Ching Lu:
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. 2028-2032 - Zhanhong Jiang, Young M. Lee:
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings. 2033-2037 - Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. 2038-2042 - Choudur Lakshminarayan, Thiagarajan Ramakrishnan, Awny Al-Omari, Khaled Bouaziz, Faraz Ahmad, Sri Raghavan, Prama Agarwal:
Enterprise-wide Machine Learning using Teradata Vantage: An Integrated Analytics Platform. 2043-2046 - Alexander Suleykin
Industrial track: Architecting railway KPIs data processing with Big Data technologies. 2047-2056 - Ramoza Ahsan, Muzammil Bashir, Rodica Neamtu, Elke A. Rundensteiner, Gábor N. Sárközy:
Nearest Neighbor Subsequence Search in Time Series Data. 2057-2066 - Reham M. Alamro, Abdou S. Youssef:
Effects of Data Reduction Methods and Rates on Classifiers. 2067-2076 - Jabir Alshehabi Al-Ani
Probabilistic Named Entity Recognition for nonstandard format entities using cooccurrence word embeddings. 2077-2086 - Nora Alkhamees, Maria Fasli:
The Dynamic-FPM: An Approach for Identifying Events from Social Networks Using Frequent Pattern Mining and Dynamic Support Values. 2087-2096 - Manal Almuammar, Maria Fasli:
Deep Learning for Non-stationary Multivariate Time Series Forecasting. 2097-2106 - Izzat Alsmadi, Muhammad Al-Abdullah, Hisham Alsmadi:
Popular Search Terms and Stock Price Prediction. 2107-2112 - M. Asokan:
A robust, efficient, and balanced parallel algorithm for finding connected components. 2113-2118 - Merve Astekin
Incremental Analysis of Large-Scale System Logs for Anomaly Detection. 2119-2127 - Beyza Bagiröz, Metehan Güzel
QoS Prediction Methods in IoT A Survey. 2128-2133 - Orhun Bugra Baran, Saim Sunel, Pinar Karagoz
ATM Withdrawal Amount Forecasting Through Neural Architectures. 2134-2143 - Sanchita Basak, Abhishek Dubey, Bruno Leão:
Analyzing the Cascading Effect of Traffic Congestion Using LSTM Networks. 2144-2153 - Kivanc Bayraktar, Uraz Yavanoglu, Alper Özbilen:
A Rule-Based Holistic Approach for Turkish Aspect-Based Sentiment Analysis. 2154-2158 - Idir Benouaret, Sihem Amer-Yahia, Christiane Kamdem Kengne, Jalil Chagraoui:
A Bi-Objective Approach for Product Recommendations. 2159-2168 - Pooja Bhagat, Aparna S. Varde, Anna Feldman:
WordPrep: Word-based Preposition Prediction Tool. 2169-2176 - Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo
On Generating Dominators of Customer Preferences. 2177-2186 - Yujing Chen, Huzefa Rangwala:
Attention-based Multi-task Learning for Sensor Analytics. 2187-2196 - Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions. 2197-2204 - Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu:
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. 2205-2214 - Gözde Merve Demirci, Seref Recep Keskin, Gülüstan Dogan:
Sentiment Analysis in Turkish with Deep Learning. 2215-2221 - Aysenur Gençdogmus
A Data-Driven Approach to Kinematic Analytics of Spinal Motion. 2222-2229 - Yunzhe Fang, Xiao-Yang Liu, Hongyang Yang:
Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. 2230-2239 - Yi Feng, Yi Zhou, Vahid Tarokh:
Recurrent Neural Network-Assisted Adaptive Sampling for Approximate Computing. 2240-2246 - Yasmeen M. George
Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media. 2247-2256 - Flavio Giobergia, Elena Baralis:
Fast Self-Organizing Maps Training. 2257-2266 - Chandadevi Giri, Ulf Johansson, Tuwe Löfström
Predictive Modeling of Campaigns to Quantify Performance in Fashion Retail Industry. 2267-2273 - Aaron Harwood, Shanika Karunasekera, Michelle Vanni, Lucia Falzon, Prarthana Padia, Amila Silva
Understanding Multilingual Communities through Analysis of Code-switching Behaviors in Social Media Discussions. 2274-2283 - Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan:
Influence of Neighborhood on the Preference of an Item in eCommerce Search. 2284-2288 - Abdelouahab Khelifati
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding. 2289-2298 - Ragini Kihlman, Maria Fasli:
Augmenting Co-Training With Recommendations to Classify Human Rights Violations. 2299-2308 - Jeeyung Kim:
Time-varying Item Feature Conditional Variational Autoencoder for Collaborative Filtering. 2309-2316 - Vinnie Ko, Stefan Oehmcke
Magnitude and Uncertainty Pruning Criterion for Neural Networks. 2317-2326 - Ibrahim Kök
Deep Learning based Delay and Bandwidth Efficient Data Transmission in IoT. 2327-2333 - Lukasz Korycki, Alberto Cano, Bartosz Krawczyk:
Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. 2334-2343 - Andrés Leiva-Araos
Tackling the Neighboring Network Hit Problem in Cellular Data. 2344-2353 - Zerong Liu, Aidong Lu:
Explainable Visualization for Interactive Exploration of CNN on Wikipedia Vandal Detection. 2354-2363 - Junlan Lu, Nikhil Takappa Saunshi, Aldrich Mangune, Magdalini Eirinaki
A SERP-Mining Approach for Classification of DNS Requests. 2364-2372 - Artem Lutov, Mourad Khayati
DAOC: Stable Clustering of Large Networks. 2373-2382 - Kurosh Madani, Cristiano Russo
Merging Large Ontologies using BigData GraphDB. 2383-2392 - Thankgod Obasi, M. Omair Shafiq:
Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases. 2393-2402 - Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Antonio Vaz Salles
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data. 2403-2412 - Burak Özçakmak, Alper Özbilen, Uraz Yavanoglu, Kübra CIn:
Neural and Quantum Cryptography in Big Data: A Review. 2413-2417 - Shuaidong Pan, Tianran Hu, Shujing Sun
Help Oneself in Helping the Others: the Ecology of Online Support Groups. 2418-2427 - Parfait Bemarisika, André Totohasina:
An Informative Base of Positive and Negative Association Rules on Big Data. 2428-2437 - Wei Quan, Jinli Zhang, Xiaohua Tony Hu:
End-to-End Joint Opinion Role Labeling with BERT. 2438-2446 - Buvaneswari Ramanan, Lawrence M. Drabeck, Thomas Woo, Troy Cauble, Anil Rana:
Eliminating Data Collection Bottleneck for Wake Word Engine Training Using Found and Synthetic Data. 2447-2456 - Hannu Reittu, Ville Kotovirta, Lasse Leskelä, Hannu Rummukainen
Towards analyzing large graphs with quantum annealing. 2457-2464 - Paolo Rosso, Dingqi Yang, Philippe Cudré-Mauroux
Revisiting Text and Knowledge Graph Joint Embeddings: The Amount of Shared Information Matters! 2465-2473 - Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Learning Temporal Relevance in Longitudinal Medical Notes. 2474-2483 - William C. Sleeman IV, Bartosz Krawczyk:
Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark. 2484-2493 - Bob Vanderheyden, Ying Xie, Mohan Rachumallu:
Net Promoter Sentiment Classifier Using OHPL-ALL. 2494-2502 - Qinghan Xue, Abhishek Kolagunda, Steven Eliuk, Xiaolong Wang:
AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning. 2503-2512 - Piyush Yadav, Edward Curry
VidCEP: Complex Event Processing Framework to Detect Spatiotemporal Patterns in Video Streams. 2513-2522 - Wenhao Zhang
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning. 2523-2531 - Yang Zhou, Yan Huang
Trust Inference for Rideshare through Co-training on Social Media Data. 2532-2541 - Zeyuan Cui, Li Pan, Shijun Liu, Lizhen Cui:
Infer Latent Privacy for Attribute Network in Knowledge Graph. 2542-2551 - Dashan Gao, Yang Liu, Anbu Huang, Ce Ju
Privacy-preserving Heterogeneous Federated Transfer Learning. 2552-2559 - Guangxu Mei, Ziyu Guo, Shijun Liu, Li Pan:
SGNN: A Graph Neural Network Based Federated Learning Approach by Hiding Structure. 2560-2568 - Shreya Sharma
Secure and Efficient Federated Transfer Learning. 2569-2576 - Tianshu Song, Yongxin Tong
Profit Allocation for Federated Learning. 2577-2586 - Aleksei Triastcyn, Boi Faltings:
Federated Learning with Bayesian Differential Privacy. 2587-2596 - Guan Wang, Charlie Xiaoqian Dang, Ziye Zhou:
Measure Contribution of Participants in Federated Learning. 2597-2604 - Kun Zhang, Yuliang Shi, Yuecan Liu, Zhongmin Yan:
Power Demand Response Incentive Pricing Model. 2605-2614 - Jonathan W. Boardman, Ying Xie:
Radically Simplifying Gated Recurrent Architectures Without Loss of Performance. 2615-2623 - Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. 2624-2633 - David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong
Finding Archetypal Spaces Using Neural Networks. 2634-2643 - Wensheng Gan
Utility-Driven Mining of High Utility Episodes. 2644-2653 - Shoji Hirano, Shusaku Tsumoto:
Mining frequent temporal patterns from medical data based on fuzzy ranged relations. 2654-2658 - Tzung-Pei Hong
Mining Temporal Fuzzy Utility Itemsets by Tree Structure. 2659-2663 - Ken Ishibashi, Chen Xiao, Katsutoshi Yada:
Study of the Effects of Visual Complexity and Consumer Experience on Visual Attention and Purchase Behavior through the Use of Eye Tracking. 2664-2673 - Jerry Chun-Wei Lin
Mining High-Utility Sequential Patterns from Big Datasets. 2674-2680 - Artem Lutov, Dingqi Yang, Philippe Cudré-Mauroux
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection. 2681-2690 - Jayesh Patel:
An Effective and Scalable Data Modeling for Enterprise Big Data Platform. 2691-2697 - Shusaku Tsumoto, Tomohiro Kimura, Haruko Iwata, Shoji Hirano:
Estimation of Disease Code from Electronic Patient Records. 2698-2707 - Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin
A GA-based Framework for Mining High Fuzzy Utility Itemsets. 2708-2715 - Matheus Araújo, Louis Kazaglis, Conrad Iber, Jaideep Srivastava:
A Data-Driven Approach for Continuous Adherence Predictions in Sleep Apnea Therapy Management. 2716-2725 - Vladimir Janjic, Michael Vinov, Thomas Given-Wilson, Axel Legay, Euan Blackledge, R. Arredouani, George Stylianou, Wanting Huang, Juliana Küster Filipe Bowles
The SERUMS tool-chain: Ensuring Security and Privacy of Medical Data in Smart Patient-Centric Healthcare Systems. 2726-2735 - Md Faisal Kabir, Simone A. Ludwig:
Classification Models and Survival Analysis for Prostate Cancer Using RNA Sequencing and Clinical Data. 2736-2745 - Yunus Emre Karazag, Sultan Turhan, Ozgun Pinarer, Ahmet Teoman Naskali:
Regional Analysis of Death Rate due to Air Pollution in Turkey and its Neighbors. 2746-2755 - Jeffrey Lienert, Felix Reed-Tsochas
Using hospital administrative data to infer patient-patient contact via the consistent co-presence algorithm. 2756-2762 - Rutuja Mahajan, William L. Romine, Michele Miller, Tanvi Banerjee:
Analyzing Public Outlook towards Vaccination using Twitter. 2763-2772 - Peichang Shi, Aryya Gangopadhyay, Carolyn Owens, Brenda Blunt, Christine Grogan:
A hybrid model using LSTM and decision tree for mortality prediction and its application in provider performance evaluation. 2773-2781 - Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Spiros V. Georgakopoulos
Single-cell regulatory network inference and clustering from high-dimensional sequencing data. 2782-2789 - Jaya Shankar Vuppalapati, Santosh Kedari, Anitha Ilapakurti, Chandrasekar Vuppalapati, Sharat Kedari, Rajasekar Vuppalapati:
The Development of Machine Learning Infused Outpatient Prognostic Models for tackling Impacts of Climate Change and ensuring Delivery of Effective Population Health Services. 2790-2799 - Andrew Wen, Yanshan Wang
Enhancing Clinical Information Retrieval through Context-Aware Queries and Indices. 2800-2807 - Reham M. Alamro, Abdou S. Youssef:
Transpose-based Integrated Data Reduction Techniques for Speeding up Classifier Training. 2808-2816 - Xishuang Dong, Hsiang-Huang Wu, Yuzhong Yan, Lijun Qian:
Hierarchical Transfer Convolutional Neural Networks for Image Classification. 2817-2825 - Kelum Gajamannage
Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion. 2826-2834 - Mikhail Genkin, Frank Dehne:
Autonomic Workload Change Classification and Prediction for Big Data Workloads. 2835-2844 - Pei Guo, Chen Liu, Yan Tang, Jianwu Wang:
Parallel Gradient Boosting based Granger Causality Learning. 2845-2854 - Muhammad Rizal Khaefi, Hendrik, Dharani Dhar Burra, Rio Fandi Dianco, Dikara Maitri Pradipta Alkarisya, Muhammad Rheza Muztahid, Annissa Zahara, George Hodge, Rajius Idzalika:
Modelling Wealth from Call Detail Records and Survey Data with Machine Learning: Evidence from Papua New Guinea. 2855-2864 - Eric Kightley, Stephen Becker:
One-Pass Sparsified Gaussian Mixtures. 2865-2870 - Carson K. Leung
Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning. 2871-2880 - Shusheng Li, Wenbo He:
VidAnomaly: LSTM-Autoencoder-Based Adversarial Learning for One-Class Video Classification With Multiple Dynamic Images. 2881-2890 - Yin Luo, Haishan Feng, Xuanlong Weng, Ke Huang, Huang Zheng
A novel oversampling method based on SeqGAN for imbalanced text classification. 2891-2894 - Bing Ma, Haifeng Sun, Jingyu Wang
Attention-based Multi-layer Chinese Word Embedding. 2895-2902 - Amit Pande, Kai Ni, Venkataramani Kini:
SWAG: Item Recommendations using Convolutions on Weighted Graphs. 2903-2912 - Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam:
DQA: Scalable, Automated and Interactive Data Quality Advisor. 2913-2922 - Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen D. Guo, Yitao Yao, Paritosh Malaviya, Kushal Bhatt, Anurag Gupta, Mridul Jain, Kannan Achan:
Recovery-oriented Big Data Computing for Exactly Once Message Processing. 2923-2930 - Dabeeruddin Syed
Averaging Ensembles Model for Forecasting of Short-term Load in Smart Grids. 2931-2938 - Kei Takahata, Takao Miura:
Q-Learning With Kalman Filters. 2939-2947 - T. Warren de Wit, Vineetha Menon:
Informed Trading Support for the Amateur Investoron the New York Stock Exchange. 2948-2955 - Pratyush Yadav
RecCite: A Hybrid Approach to Recommend Potential Papers. 2956-2964 - Can Yao, Hai Huang, Longxuan Ma, Ze Yang, Lei Zhang:
Virtual-Link Representation for Link Prediction. 2965-2974 - Ameema Zainab, Shady S. Refaat, Dabeeruddin Syed
Faulted Line Identification and Localization in Power System using Machine Learning Techniques. 2975-2981 - Rashid Zaman, Alfredo Cuzzocrea, Marwan Hassani
An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes. 2982-2991 - Lingxin Zhang, Qi Qi, Jingyu Wang
Multi-task Deep Reinforcement Learning for Scalable Parallel Task Scheduling. 2992-3001 - Ryan Bogutz, Yuri Pradkin, John S. Heidemann:
Identifying Important Internet Outages. 3002-3007 - Sunshine Chong, Andrés Abeliuk:
Quantifying the Effects of Recommendation Systems. 3008-3015 - Shanni Lam, Jacob van der Leeuw, Wayne Ying, Zachary Dodds, Henry Coxe:
Computing as Curricular Peripheral. 3016-3020 - Jun Lin, Glenna Tremblay-Taylor, Guanyi Mou, Di You
Detecting Fake News Articles. 3021-3025 - Anne Lin, Andrés Abeliuk, Emilio Ferrara
Effects of Network Structure on Subjective Preference Diversity. 3026-3031 - Allen Mao, Daniel Garijo, Shobeir Fakhraei:
SoMEF: A Framework for Capturing Scientific Software Metadata from its Documentation. 3032-3037 - Alex Morehead
Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi. 3038-3044 - Andrew Stanhope, Hao Sha, Danielle Barman, Mohammad Al Hasan, George O. Mohler:
Group Link Prediction. 3045-3052 - William Tanner, Esra Akbas
Paper Recommendation Based on Citation Relation. 3053-3059 - Danielle Alves Batista, Tim Weingärtner:
ArchContract: using smart contracts for disposition. 3060-3065 - Osman Din:
Towards a Flexible System Architecture for Automated Knowledge Base Construction Frameworks. 3066-3071 - Nuno Freire, Sjors de Valk
Automated interpretability of linked data ontologies: : an evaluation within the cultural heritage domain. 3072-3079 - Emily Goodmann, M. A. Matienzo
Building the National Radio Recordings Database: A Big Data Approach to Documenting Audio Heritage. 3080-3086 - Hoda Amal Hamouda, Jessica Bushey
Extending the Scope of Computational Archival Science: A Case Study on Leveraging Archival and Engineering Approaches to Develop a Framework to Detect and Prevent "Fake Video". 3087-3097 - Gregory Jansen
Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories. 3098-3102 - Gregory Jansen
Digital Legacies on Paper: Reading Punchcards with Computer Vision. 3103-3108 - Eric Kaltman
Preliminary Analysis of a Large-Scale Digital Entertainment Development Archive: A Case Study of the Entertainment Technology Center's Projects. 3109-3115 - Shadrack Katuu
Enterprise Architecture - A Value Proposition for Records Professionals. 3116-3125 - Richard Marciano, Danish Mir, Connor Mullane, Emery Patterson, Debashish Pradhan, James Santos, Britton Schams, Hilary Szu Yin Shiue, Andy Jose Silva, Mayhah Suri, Tahura Turabi
Reframing Digital Curation Practices through a Computational Thinking Framework. 3126-3135 - Nathaniel Payne:
An Intelligent Class: The Development Of A Novel Context Capturing Framework Supporting The Functional Auto-Classification Of Records. 3136-3145 - William Underwood, Richard Marciano:
Computational Thinking in Archival Science Research and Education. 3146-3152 - Lyneise Williams:
What Computational Archival Science Can Learn from Art History and Material Culture Studies. 3153-3155 - Nazar Akrami, Johan Fernquist, Tim Isbister, Lisa Kaati, Björn Pelzer:
Automatic Extraction of Personality from Text: Challenges and Opportunities. 3156-3164 - Meznah A. Alamro
Examination of Double Arbiter PUFs on Security against Machine Learning Attacks. 3165-3171 - Shin-Ying Huang, Tzu-Hsien Chuang, Shi-Meng Huang, Tao Ban:
Malicious URL Linkage Analysis and Common Pattern Discovery. 3172-3179 - Kaifu Jin, Xi Zhang, Jiayuan Zhang
Learning to Generate Diverse and Authentic Reviews via an Encoder-Decoder Model with Transformer and GRU. 3180-3189 - Nobuyuki Kanaya, Yu Tsuda, Yuuki Takano, Daisuke Inoue:
Byakko: Automatic Whitelist Generation based on Occurrence Distribution of Features of Network Traffic. 3190-3199 - Max Landauer, Florian Skopik, Markus Wurzenberger, Wolfgang Hotwagner, Andreas Rauber:
A Framework for Cyber Threat Intelligence Extraction from Raw Log Data. 3200-3209 - Seng Pei Liew, Satoshi Ikeda:
Detecting Adversary using Windows Digital Artifacts. 3210-3215 - Pierrick Robic-Butez, Thu Yein Win:
Detection of Phishing websites using Generative Adversarial Network. 3216-3221 - Peter Schneider:
Do's and Don'ts of Distributed Intrusion Detection for Industrial Network Topologies. 3222-3231 - Casey Wilson, Xenia Mountrouidou, Anna Little:
Worth the Wait? Time Window Feature Optimization for Attack Classification. 3232-3241 - Prosper Kandabongee Yeng, Bian Yang, Einar Arthur Snekkenes:
Framework for Healthcare Security Practice Analysis, Modeling and Incentivization. 3242-3251 - Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin:
Can Machine/Deep Learning Classifiers Detect Zero-Day Malware with High Accuracy? 3252-3259 - Jitendra Kumar, Michael C. Crow, Ranjeet Devarakonda
Provenance-aware workflow for data quality management and improvement for large continuous scientific data streams. 3260-3266 - Vung Pham
MTSAD: Multivariate Time Series Abnormality Detection and Visualization. 3267-3276 - Xiaobo Xue Romeiko, Zhijian Guo, Yulei Pang:
Comparison of Support Vector Machine and Gradient Boosting Regression Tree for Predicting Spatially Explicit Life Cycle Global Warming and Eutrophication Impacts: A case study in corn production. 3277-3284 - Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
The Performance of LSTM and BiLSTM in Forecasting Time Series. 3285-3292 - Hao Van, Huyen N. Nguyen
HackerNets: Visualizing Media Conversations on Internet of Things, Big Data, and Cybersecurity. 3293-3302 - Oswaldo Artiles, Fahad Saeed:
GPU-SFFT: A GPU based parallel algorithm for computing the Sparse Fast Fourier Transform (SFFT) of k-sparse signals. 3303-3311 - Wendy K. Tam Cho, Yan Y. Liu:
Parallel Hybrid Metaheuristics with Distributed Intensification and Diversification for Large-scale Optimization in Big Data Statistical Analysis. 3312-3320 - Tian Gao
Plant Event Detection from Time-Varying Point Clouds. 3321-3329 - Soulaimane Guedria
Auto-CNNp: a component-based framework for automating CNN parallelism. 3330-3339 - Haoyu Huang, Shahram Ghandeharizadeh:
An Evaluation of RDMA-based Message Passing Protocols. 3340-3349 - Ruizhu Huang, Weijia Xu, Yinzhi Wang
Performance Comparison of Julia Distributed Implementations of Dirichlet Process Mixture Models. 3350-3354 - Zongze Li, Song Fu:
Accelerating RNN on FPGA with Efficient Conversion of High-Level Designs to RTL. 3355-3364 - Juan Lin, Hui Zhang:
View Selection in Knot Deformation. 3365-3372 - Li-Chen Liu, Meng-Huang Lee, Shin-Hung Chang, Ray-I Chang
Constructing Suffix Array of Next-Generation Sequencing upon In-Memory Lookup Cloud and MapReduce. 3373-3378 - Karl Mason, Sadegh Vejdan, Santiago Grijalva:
An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets. 3379-3387 - Atsuya Nasu, Kenji Yoneo, Masao Okita, Fumihiko Ino:
Transparent In-memory Cache Management in Apache Spark based on Post-Mortem Analysis. 3388-3396 - Faisal F. Qarah
A Fast Exact Viewshed Algorithm on GPU. 3397-3405 - Guangchen Ruan, Hui Zhang:
Parallelized Topological Relaxation Algorithm. 3406-3415 - Ranjini Subramanian, Hui Zhang:
Parallel R Computing on the Web. 3416-3423 - Jianxin Sun, Chunxia Wu, Yufeng Ge, Yusong Li, Hongfeng Yu:
Spatial-Temporal Scientific Data Clustering via Deep Convolutional Neural Network. 3424-3429 - Fei Wang, Guoyang Chen, Weifeng Zhang, Tiark Rompf:
Parallel Training via Computation Graph Transformation. 3430-3439 - Claudio A. Ardagna
A Methodology for Cross-Platform, Event-Driven Big Data Analytics-as-a-Service. 3440-3448 - Glaucia Melo dos Santos, Paulo S. C. Alencar, Don Cowan:
Context-Augmented Software Development in Traditional and Big Data Projects: Literature Review and Preliminary Framework. 3449-3457 - Hyunseop Park, Hyunwoong Ko
A Framework for Identifying and Prioritizing Data Analytics opportunities in Additive Manufacturing. 3458-3467 - Jeffrey S. Saltz
SKI: An Agile Framework for Data Science. 3468-3476 - Jeffrey S. Saltz
Achieving Agile Big Data Science: The Evolution of a Team's Agile Process Methodology. 3477-3485 - Mehmet Selman Sezgin, Ahmet Tugrul Bayrak
A Hybrid Approach to Dynamic Enterprise Data Platform. 3486-3492 - Dihia Boulegane, Nedeljko Radulovic, Albert Bifet, Ghislain Fiévet, Jimin Sohn, Yeonwoo Nam, Seojeong Yu, Dong-Wan Choi:
Real-Time Machine Learning Competition on Data Streams at the IEEE Big Data 2019. 3493-3497 - Tobias Grubenmann, Daniele Dell'Aglio, Abraham Bernstein:
Collaborative Streaming: Trust Requirements for Price Sharing. 3498-3505 - Austin Harris, Jose Stovall, Mina Sartipi:
MLK Smart Corridor: An Urban Testbed for Smart City Applications. 3506-3511 - Sören Henning
Scalable and Reliable Multi-Dimensional Aggregation of Sensor Data Streams. 3512-3517 - Shawndra Hill, Anthony M. Colas, H. Andrew Schwartz, Gordon Burtch
TV Ad Events and Digital Search: On the Selection of Outcome Measures. 3518-3528 - Sebastian Trinks, Carsten Felden:
Image Mining for Real Time Quality Assurance in Rapid Prototyping. 3529-3534 - Muzammil Bashir, Elke A. Rundensteiner, Ramoza Ahsan:
A deep learning approach to trespassing detection using video surveillance data. 3535-3544 - Seok-Jun Bu
Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks. 3545-3552 - Sashikanth Gurram
Agent-based modeling to simulate road travel using Big Data from smartphone GPS: An application to the continental United States. 3553-3562 - Mio Hosoe, Masashi Kuwano, Taku Moriyama, Kosuke Miyazaki, Masaki Ito:
Travel Pattern Extraction from Smart Card Data using Data Polishing. 3563-3572 - Somayah Karsoum, Le Gruenwald, Clark Barrus, Eleazar Leal:
Using Timed Sequential Patterns in the Transportation Industry. 3573-3582 - Jin-Young Kim, Kyunghyun Lim, Sung-Bae Cho:
Personalized POI Embedding for Successive POI Recommendation with Large-scale Smart Card Data. 3583-3589 - Ivens Portugal, Paulo S. C. Alencar, Donald D. Cowan:
Modeling Dynamic Spatial-Temporal Cluster Relationships. 3590-3598 - Joseph D. Preece
Blockchain Technology as a Mechanism for Digital Railway Ticketing. 3599-3606 - Carlos A. Barajas, Matthias K. Gobbert, Jianwu Wang:
Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. 3607-3615 - Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff. 3616-3622 - Wanghu Chen, Chao Wang, Jing Li, Bo Yang, Yang Liu, Jianwu Wang:
Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches. 3623-3631 - Md Abdul Motaleb Faysal, Shaikh Arifuzzaman:
Fast Stochastic Block Partitioning using a Single Commodity Machine. 3632-3639 - Qiang Fu
Search for K: Assessing Five Topic-Modeling Approaches to 120, 000 Canadian Articles. 3640-3647 - Devarshi Ghoshal, Kesheng Wu
Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads. 3648-3657 - Divya Goel, Amaresh Nayak:
Reactive Microservices in Commodity Resources. 3658-3665 - Suneuy Kim
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of NoSQL Databases for Geospatial Workloads. 3666-3675 - Shuwen Liang, Zhi Qiao
An Empirical Study of Quad-Level Cell (QLC) NAND Flash SSDs for Big Data Applications. 3676-3685 - Paul Lu, Owen Randall, Emma McDonald:
An Empirical Study of Rabin Fingerprinting Parameters. 3686-3691 - Kenta Machida, Osamu Tatebe:
GHOSTZ PW/GF: Distributed Parallel Homology Search System for Large-scale Metagenomic Analysis. 3692-3700 - Hamza Mustafa, Eleazar Leal, Le Gruenwald:
An Experimental Comparison of GPU Techniques for DBSCAN Clustering. 3701-3710 - Alessio Pagliari
Towards a High-Level Description for Generating Stream Processing Benchmark Applications. 3711-3716 - Bibek Paudel, Dragi Kocev
Mix and Rank: A Framework for Benchmarking Recommender Systems. 3717-3726 - Yinghua Qin, Gheorghi Guzun:
Multidimensional Preference Query Optimization on Infrastructure Monitoring Systems. 3727-3736 - Marco Strutz, Hermann Heßling, Peter Hufnagl:
A Gray-box Testing Method for Divide&Conquer in Image Processing. 3737-3743 - Muaz Twaty, Amine Ghrab, Sabri Skhiri:
GraphOpt: a Framework for Automatic Parameters Tuning of Graph Processing Frameworks. 3744-3753 - Eftim Zdravevski
Cluster-size optimization within a cloud-based ETL framework for Big Data. 3754-3763 - Yuto Onga, Shingo Fujiyama, Hayato Arai, Yusuke Chayama, Hitoshi Iyatomi, Kenichi Oishi
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning. 3764-3769 - Lauro Caetano, Marx L. Viana, Elder Cirilo, Paulo S. C. Alencar, Carlos Lucena:
Using Governance and Adaptive Normative Multiagent Systems for Dynamic Vehicle Platoon Formation. 3770-3774 - Emad A. Felemban
Towards Building an Interactive Platform for Analyzing Movement of Buses in Hajj. 3775-3778 - Arman Hasanzadeh, Xi Liu, Nick Duffield
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. 3779-3788 - Vikram Krishnamurthy, Kusha Nezafati, Juhyun Bae, Mehmet Emre Gursoy, Mian Zhong, Vikrant Singh:
Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data. 3789-3796 - Michael Lee, Beichen Yang, Travis Atkison:
802.11ac and p in a Simulated VANET Environment. 3797-3802 - Hao Peng, Nicholas Klepp, Mohammadhossein Toutiaee, Ismailcem Budak Arpinar, John A. Miller
Knowledge and Situation-Aware Vehicle Traffic Forecasting. 3803-3812 - Jose Stovall, Austin Harris, Amanda O'Grady, Mina Sartipi:
Scalable Object Tracking in Smart Cities. 3813-3819 - Chen Wang, Aibek Musaev:
Preliminary Research on Vehicle Speed Detection using Traffic Cameras. 3820-3823 - Weijia Xu, Natalia Ruiz-Juri, Kelly A. Pierce, Ruizhu Huang, Joel Meyer, Jen Duthie:
Detecting Pedestrian Crossing Events in Large Video Data from Traffic Monitoring Cameras. 3824-3831 - Hongzhi Yang, Chieh-Feng Chiang, Arbee L. P. Chen:
Discovering High Demanding Bus Routes Using Farecard Data. 3832-3837 - Lijun Yu
Training-free Monocular 3D Event Detection System for Traffic Surveillance. 3838-3843 - Sheng Zhang, Haoyang Che, Jiacai Zhang, Yucong Duan:
Exploring the Brand Competition Patterns of China's Auto Market with Massive Sales Leads. 3844-3853 - Haoyu Huang, Shahram Ghandeharizadeh:
An Evaluation of RDMA-based Message Passing Protocols. 3854-3863 - Johannes Luong
A Technical Perspective of DataCalc - Ad-hoc Analyses on Heterogeneous Data Sources. 3864-3873 - Sean Rooney, Peter Urbanetz, Chris Giblin, Daniel Bauer, Florian Froese, Luis Garcés-Erice
Kafka: the Database Inverted, but Not Garbled or Compromised. 3874-3880 - Elif Cansu Yildiz, Engin Unal, Hakan Tüzün, Doruk Eren Aktas, Mehmet S. Aktas
On the RESTful Web Services for Managing Application Virtualization Environments. 3881-3886 - Anne Berres
A Mobility-Driven Approach to Modeling Building Energy. 3887-3895 - Abhishek Gupta
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. 3896-3902 - Zhuoyi Lin, Lei Feng
Fast Top-N Personalized Recommendation on Item Graph. 3903-3908 - Harshitha Meda
Analysis of Hurricane Matthew 2016 Data to Estimate Airline Passengers Disruption. 3909-3915 - Yoshiki Ogawa
Estimation of Transactional Network Data Between Branch Offices using Transactional Big Data Throughout Japan. 3916-3924 - Mojtaba Shakeri, Abhishek Gupta
Coping with Big Data in Transfer Optimization. 3925-3932 - Junxian Song, Rong Wen, Chi Xu, Joel Wei En Tay:
Service Time Prediction for Last-Yard Delivery. 3933-3938 - Kentaroh Toyoda
Performance Evaluation of Ethereum-based On-chain Sensor Data Management Platform for Industrial IoT. 3939-3946 - Gokhan Mert Yagli, Joel Wei En Tay, Dazhi Yang
Ensemble kriging for environmental spatial processes. 3947-3950 - Venkat R. Dasari, Stephen Allen, Scott E. Brown:
Dynamic visualization of large scale tactical network simulations. 3951-3954 - Venkat R. Dasari, David M. Alexander, Scott E. Brown, Jenmfer Brooks, Brian Panneton, Simon Su:
Analysis of High fidelity ns-3 simulations to study real-time application performance in tactical wireless networks. 3955-3959 - Matthew Dwyer, Nicole Kaff, Jacob Cohen, Michael Frauenhoffer:
Leveraging Comprehensive Data Analysis to Inform Parallel HPC Workloads. 3960-3967 - Christopher Koehler, Andrew Berger, Raksha Rajashekar, Thomas Wischgoll, Simon Su:
Dynamic Collaborative Visualization Ecosystem to Support the Analysis of Large-Scale Disparate Data. 3968-3977 - Christopher Mendoza, Venkat R. Dasari, Michael P. McGarry:
Detecting Network Soft-failures with the Network Link Outlier Factor (NLOF). 3978-3983 - Vincent Perry, Wendy Gao, Michael Chen, Joseph Michael Barton, Simon Su:
Visualization Techniques for Large-Scale Monte Carlo Simulation. 3984-3991 - Simon Su, Vincent Perry, Venkat R. Dasari:
Hybrid 2D and 3D Visual Analytics of Network Simulation Data. 3992-3999 - Luca Cappelletti
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. 4000-4007 - Daniel Cunnington, Mark Law, Alessandra Russo
Towards a Neural-Symbolic Generative Policy Model. 4008-4016 - Maryam Davari, Elisa Bertino:
Access Control Model Extensions to Support Data Privacy Protection based on GDPR. 4017-4024 - Keith Grueneberg, Seraphin B. Calo, P. Dewan, Dinesh C. Verma, Tristan O'Gorman:
A Policy-based Approach for Measuring Data Quality. 4025-4031 - Franck Le, Enriquillo Valdez, Pau-Chen Cheng:
Counting Devices: Revisiting Existing Approaches in Today's Settings. 4032-4037 - Dinesh C. Verma, Seraphin B. Calo, Elisa Bertino, Alessandra Russo
Policy based Ensembles for applying ML on Big Data. 4038-4044 - Brian Wang, Mani B. Srivastava
Enabling Privacy Policies for mHealth Studies. 4045-4054 - Eduardo Cruz
Mining top-up transactions and online classified ads to predict urban neighborhoods socioeconomic status. 4055-4062 - Emad A. Felemban
Towards Building Evacuation Planning Platform using Multimodal Transportation for a Large Crowd. 4063-4066 - Daniel R. Harris
bench4gis: Benchmarking Privacy-aware Geocoding with Open Big Data. 4067-4070 - Keisuke Ikeda, Kazufumi Kojima, Masahiro Tani:
Short Paper: Evaluation of Location Estimation Method That Focuses on Geographical Proximity of Friends. 4071-4074 - Soo-hyun Joo, Yoshiki Ogawa
Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Network. 4075-4084 - Kazufumi Kojima, Keisuke Ikeda, Masahiro Tani:
Short Paper: User Identification across Online Social Networks Based on Similarities among Distributions of Friends' Locations. 4085-4088 - Aude Marzuoli, Fengmei Liu:
Monitoring of natural disasters through anomaly detection on mobile phone data. 4089-4098 - Arif Masrur, Gautam S. Thakur, Kevin A. Sparks
Co-location Pattern Mining of Geosocial Data to Characterize Urban Functional Spaces. 4099-4102 - Dimitar Misev, Peter Baumann
BigDataCube: A Scalable, Federated Service Platform for Copernicus. 4103-4112 - Mohit Mittal, Panote Siriaraya, Chonho Lee, Yukiko Kawai, Takashi Yoshikawa, Shinji Shimojo:
Accurate Spatial Mapping of Social Media Data with Physical Locations. 4113-4116 - Guruprasad Nayak
Spatio-temporal classification at multiple resolutions using multi-view regularization. 4117-4120 - Minh Hieu Nguyen, Sanghyun Yoon, Sangyoon Park
A demonstration of B-EagleV Visualizing massive point cloud directly from HDFS. 4121-4124 - Jan Kristof Nidzwetzki, Ralf Hartmut Güting:
Demo Paper: Large Scale Spatial Data Processing With User Defined Filters In BBoxDB. 4125-4128 - A. B. Siddique, Ahmed Eldawy
Euler++: Improved Selectivity Estimation for Rectangular Spatial Records. 4129-4133 - Vinit Veerendraveer Singh, Scott Sorensen, Chandra Kambhamettu:
cPSITRES: A collaborative system for analysis of Big Data on sea ice. 4134-4137 - Brian Thompson, Dave Cedel, Jeremy Martin, Kristen Snee, Alex Cheung:
SEXTANT: A Computational Framework for Scalable and Efficient Correlation of Spatio-Temporal Trajectories. 4138-4147 - Christian Beecks, Fabian Berns
Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data. 4148-4151 - Fabian Berns
A New Approach for Efficient Structure Discovery in IoT. 4152-4156 - Morgan K. Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. 4157-4162 - Guillaume Habault, Yasutaka Nishimura, Kiyohito Yoshihara, Chihiro Ono:
Detecting errors in short-term electricity demand forecast using people dynamics. 4163-4168 - Olivera Kotevska, Kalyan S. Perumalla
Kensor: Coordinated Intelligence from Co-Located Sensors. 4169-4174 - Ebelechukwu Nwafor, Habeeb Olufowobi
Towards an Interactive Visualization Framework for IoT Device Data Flow. 4175-4178 - Sayed Khushal Shah, Zeenat Tariq, Yugyung Lee:
IoT based Urban Noise Monitoring in Deep Learning using Historical Reports. 4179-4184 - Sihai Tang, Zhaochen Gu, Qing Yang, Song Fu:
Smart Home IoT Anomaly Detection based on Ensemble Model Learning From Heterogeneous Data. 4185-4190 - Zeenat Tariq, Sayed Khushal Shah, Yugyung Lee:
Speech Emotion Detection using IoT based Deep Learning for Health Care. 4191-4196 - Phuong-Binh Vo
Association Model between Visual Feature and AQI Rank Using Lifelog Data. 4197-4200 - Zekun Xu, Deovrat Kakde, Arin Chaudhuri:
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection. 4201-4207 - Bin Yu, Giovanna Graciani, Anderson C. A. Nascimento
Cost-adaptive Neural Networks for Peak Volume Prediction with EMM Filtering. 4208-4213 - Alex Kaplunovich, Karuna P. Joshi, Yelena Yesha:
Scalability Analysis of Blockchain on a Serverless Cloud. 4214-4222 - Enrico Tedeschi
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains. 4223-4231 - Cristian Bucur, Eduard Babulak
Security validation testing environment in the cloud. 4240-4247 - Jan William Johnsen, Katrin Franke:
The impact of preprocessing in natural language for open source intelligence and criminal investigation. 4248-4254 - Igor Kotsiuba, Inna Skarga-Bandurova
Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks. 4255-4264 - Igor Kotsiuba, Inna Skarga-Bandurova
Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure. 4265-4272 - Sanjay Kumar, Harald P. E. Vranken, Joost van Dijk, Timo Hämäläinen
Deep in the Dark: A Novel Threat Detection System using Darknet Traffic. 4273-4279 - Ajit Kumar, Vinti Agarwal, Shishir K. Shandilya
PACE: Platform for Android Malware Classification and Performance Evaluation. 4280-4288 - Oleksandr A. Letychevskyi, Tetiana Polhul
Detection of Fraudulent Behavior Using the Combined Algebraic and Machine Learning Approach. 4289-4293 - Ashar Neyaz, Bing Zhou, Narasimha Karpoor:
Comparative Study of Wear-leveling in Solid-State Drive with NTFS File System. 4294-4298 - Naw Safrin Sattar
Detecting Web Spam in Webgraphs with Predictive Model Analysis. 4299-4308 - Andrii Shalaginov, Igor Kotsiuba, Asif Iqbal:
Cybercrime Investigations in the Era of Smart Applications: Way Forward Through Big Data. 4309-4314 - Pragati Awasthi, Jerzy Bala, Sebastian Carter:
Forecasting of Trends in Legal Spend Management. 4315-4319 - Qian Han, Yufeng Kou, Derek Snaidauf:
Experimental Evaluation of CNN Parameters for Text Categorization in Legal Document Review. 4320-4324 - Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
Image Analytics for Legal Document Review : A Transfer Learning Approach. 4325-4328 - Thanasis Schoinas, Benjamin Guinard, Diba Esbati, Richard Chalk:
Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering. 4329-4336 - Yajie Su, Hao Lu, Hongzhou Zhang:
Qualitative Mapping Modeling of Criminals' Sense of Security in Theft Cases. 4337-4341 - Takahiro Yamakoshi, Takahiro Komamizu, Yasuhiro Ogawa, Katsuhiko Toyama:
Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier. 4342-4351 - Yong Zou, Andrew Pat Waldo:
Supervised Key Terms Clustering for Regulatory Monitoring. 4352-4356 - Jarrod Carson, Kane Hollingsworth, Rituparna Datta, Aviv Segev:
Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data. 4357-4365 - Suresh K. Choubey, Ryan G. Benton
Prescriptive Equipment Maintenance: A Framework. 4366-4374 - Sandeep Jeereddy, Ken Kennedy, Eddie Duffy, Annie Walker, Bennie Vorster:
Machine Learning Use Cases for Smart Manufacturing KPIs. 4375-4380 - Qiao Kang
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. 4381-4389 - Sylvie Koziel, Patrik Hilber, Per Westerlund, Ebrahim Shayesteh:
Forecasting cross-border power exchanges through an HVDC line using dynamic modelling. 4390-4394 - Vikram Krishnamurthy, Kusha Nezafati, Vikrant Singh:
Application of Machine Learning and Spatial Bootstrapping to Image Processing for Predictive Maintenance. 4395-4401 - Ivan Melendez
Self-supervised Multi-stage Estimation of Remaining Useful Life for Electric Drive Units. 4402-4411 - Hiroko Nagashima, Yuka Kato:
Data Imputation Method based on Programming by Example: APREP-S. 4412-4421 - Adrian Stetco
Wind Turbine operational state prediction: towards featureless, end-to-end predictive maintenance. 4422-4430 - Dan Chia-Tien Lo, Charles Garnder, Pascal Paschos, Chung Ng:
Subject-Oriented Data Retrieval and Analysis on Sina Weibo. 4431-4434 - Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. 4435-4443 - Wanshan Yang, Ting Huang, Junlin Zeng, Yan Tang, Lijun Chen, Shivakant Mishra, Youjian Eugene Liu
Purchase Prediction in Free Online Games via Survival Analysis. 4444-4449 - Elham Azari, Sarma B. K. Vrudhula:
An Energy-Efficient Reconfigurable LSTM Accelerator for Natural Language Processing. 4450-4459 - Zheming Jin, Hal Finkel:
Exploration of OpenCL 2D Convolution Kernels on Intel FPGA, CPU, and GPU Platforms. 4460-4465 - Zheming Jin, Hal Finkel:
A Case Study of k-means Clustering using SYCL. 4466-4471 - Maryam Parsa
Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. 4472-4478 - Steven R. Young, Pravallika Devineni, Maryam Parsa
Evolving Energy Efficient Convolutional Neural Networks. 4479-4485 - Sima Esfandiarpour Borujeni, Ramkumar Harikrishnakumar
Quantum Grover search-based optimization for innovative material discovery. 4486-4489 - Cristina Garcia-Cardona
Learning to Predict Material Structure from Neutron Scattering Data. 4490-4497 - Junghoon Chae, Catherine D. Schuman
Visualization System for Evolutionary Neural Networks for Deep Learning. 4498-4502 - Christopher Gropp
Clustered Latent Dirichlet Allocation for Scientific Discovery. 4503-4511 - Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku:
Realistic Transport Simulation: Tackling the Small Data Challenge with Open Data. 4512-4519 - Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. 4520-4524 - Payton Linton, William Melodia, Alina Lazar, Deborah A. Agarwal
Understanding Data Similarity in Large-Scale Scientific Datasets. 4525-4531 - Edgar Llamas, Ivan Garcia, Andrés Méndez:
Detecting Dependency Between Discrete Random Variables and Application. 4532-4536 - Ryan Mitchell, Loïc Pottier
Exploration of Workflow Management Systems Emerging Features from Users Perspectives. 4537-4544 - Rafael Ferreira da Silva
Empowering Agroecosystem Modeling with HTC Scientific Workflows: The Cycles Model Use Case. 4545-4552 - Rina Singh, Jeffrey A. Graves, Valentine Anantharaj, Sreenivas R. Sukumar
Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries. 4553-4560 - Hong-Jun Yoon, John Gounley
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts. 4561-4564 - Icaro Alzuru, Aditi Malladi, Andréa M. Matsunaga, Maurício O. Tsugawa, José A. B. Fortes:
Human-Machine Information Extraction Simulator for Biological Collections. 4565-4572 - Mehdi Bahrami, Wei-Peng Chen:
WATAPI: Composing Web API Specification from API Documentations through an Intelligent and Interactive Annotation Tool. 4573-4578 - Pedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos
Analysing Social Media as a Hybrid Tool to Detect and Interpret likely Radical Behavioural Traits for National Security. 4579-4588 - Kyriaki Dimitriadou, Rahul Manghwani, Timothy C. Hoad:
ClusterClean: a Weak Semi-Supervised Approach for Cleaning Data Labels. 4589-4595 - Masafumi Hayashi, Masaki Kobayashi, Masaki Matsubara, Toshiyuki Amagasa
Incentive Design for Crowdsourced Development of Selective AI for Human and Machine Data Processing: A Case Study. 4596-4601 - Jordan Hosier, Vijay K. Gurbani, Neil Milstead:
Disambiguation and Error Resolution in Call Transcripts. 4602-4607 - Pei-Yu Hou
Collaborative Workflow for Analyzing Large-Scale Data for Antimicrobial Resistance: An Experience Report. 4608-4617 - Munenari Inoguchi, Keiko Tamura, Ryota Hamamoto:
Establishment of Work-Flow for Roof Damage Detection Utilizing Drones, Human and AI based on Human-in-the-Loop Framework. 4618-4623 - Hinako Izumi, Masaki Matsubara, Chiemi Watanabe, Atsuyuki Morishima:
A Microtask Approach to Identifying Incomprehension for Facilitating Peer Learning. 4624-4627 - Sathish K. SankarPandi, Spyros Samothrakis, Luca Citi
Active learning without unlabeled samples: generating questions and labels using Monte Carlo Tree Search. 4628-4631 - Hidehiko Shishido, Hansung Kim
Super Long Interval Time-Lapse Image Generation for Proactive Preservation of Cultural Heritage Using Crowdsourcing. 4632-4637 - Takafumi Suzuki, Satoshi Oyama, Masahito Kurihara:
Explainable Recommendation Using Review Text and a Knowledge Graph. 4638-4643 - Thi Tran, Paul Rad, Rohit Valecha, H. Raghav Rao:
Misinformation Harms During Crises: When The Human And Machine Loops Interact. 4644-4646 - Kousuke Uo, Masaki Kobayashi, Masaki Matsubara, Yukino Baba, Atsuyuki Morishima:
Active Learning Strategies for Hierarchical Labeling Microtasks. 4647-4650 - Ming-Chen Wang, Vahid Golderzahi
Extracting Explainable Deep Representation for Machine Tutoring. 4651-4658 - Shigeaki Yuasa, Takumi Nakai, Takanori Maruichi, Manuel Landsmann, Koichi Kise, Masaki Matsubara, Atsuyuki Morishima:
Towards Quality Assessment of Crowdworker Output Based on Behavioral Data. 4659-4661 - Silvio Alonso, Marx L. Viana, Elder Cirilo, Paulo S. C. Alencar, Carlos Lucena:
Open-Source Innovation in Practice: A Lean-Based Development Process Leveraging Open-Source Big Data Tools. 4662-4671 - Mohsen Dorodchi, Erfan Al-Hossami
Using Synthetic Data Generators to Promote Open Science in Higher Education Learning Analytics. 4672-4675 - Aminul Islam, Fuad Rahman
Sankhya: An Unbiased Benchmark for Bangla Handwritten Digits Recognition. 4676-4683 - Monica M. McGill:
Using Collaborative Open Science to Advance K-12 Computing Education. 4684-4686 - Doug Mulholland, Paulo S. C. Alencar, Donald D. Cowan:
iEnvironment: Perspectives on Metadata-Oriented Testing of Research Software. 4687-4690 - Michael Smit
Code Convention Adherence in Research Data Infrastructure Software: An Exploratory Study. 4691-4700 - Amir Atapour Abarghouei
Volenti non fit injuria: Ransomware and its Victims. 4701-4707 - William Blanc, Lina G. Hashem, Karim O. Elish, Hussain M. J. Almohri:
Identifying Android Malware Families Using Android-Oriented Metrics. 4708-4713 - Vito D'Orazio, James Honaker, Raman Prasady, Michael Shoemate:
Modeling and Forecasting Armed Conflict: AutoML with Human-Guided Machine Learning. 4714-4723 - Johan Fernquist, Oskar Lindholm, Lisa Kaati, Nazar Akrami:
A Study on the Feasibility to Detect Hate Speech in Swedish. 4724-4729 - Christine Hines, Abdou Youssef:
Class Balancing for Fraud Detection in Point Of Sale Systems. 4730-4739 - Haohui Liu:
A Location Independent Machine Learning Approach for Early Fake News Detection. 4740-4746 - Amirreza Niakanlahiji, Lida Safarnejad, Reginald Harper, Bei-Tseng Chu:
IoCMiner: Automatic Extraction of Indicators of Compromise from Twitter. 4747-4754 - Amendra Shrestha, Lisa Kaati, Nazar Akrami:
PRAT - a Tool for Assessing Risk in Written Communication. 4755-4762 - Esra Akbas
Network Embedding: on Compression and Learning. 4763-4772 - Md Abdul Motaleb Faysal, Shaikh Arifuzzaman:
Distributed Community Detection in Large Networks using An Information-Theoretic Approach. 4773-4782 - S. M. Shamimul Hasan, Drew Schmidt, Ramakrishnan Kannan, Neena Imam:
A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR). 4783-4792 - Hubert Naacke, Ke Li, Bernd Amann, Olivier Curé:
Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark. 4793-4798 - Vijay Walunj, Gharib Gharibi, Duy H. Ho, Yugyung Lee:
GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs. 4799-4807 - Xiantian Zhou, Carlos Ordonez:
Computing Complex Graph Properties with SQL Queries. 4808-4816 - Jin Cho, Alnour Alharin, Zhen Hu, Nancy Fell, Mina Sartipi:
Predicting Post-stroke Hospital Discharge Disposition Using Interpretable Machine Learning Approaches. 4817-4822 - Shanta Chowdhury, Xishuang Dong, Xiangfang Li:
Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data. 4823-4828 - Quan T. Do, Son Tran, Alexa K. Doig:
Reinforcement Learning Framework to Identify Cause of Diseases - Predicting Asthma Attack Case. 4829-4838 - Xin He
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. 4839-4844 - Milan Koch
Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients. 4845-4852 - Seiya Murabayashi, Hitoshi Iyatomi:
Towards Explainable Melanoma Diagnosis: Prediction of Clinical Indicators Using Semi-supervised and Multi-task Learning. 4853-4857 - Hideaki Okamoto, Quan Huu Cap
Stochastic Gastric Image Augmentation for Cancer Detection from X-ray Images. 4858-4863 - Oluwafemi A. Sarumi
Exploiting Anti-Monotonic Constraints in Mining Palindromic Motifs from Big Genomic Data. 4864-4873 - Wenli Sun, Changgee Chang
Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on Features. 4874-4882 - Terri Elizabeth Workman
Explainable Deep Learning Applied to Understanding Opioid Use Disorder and Its Risk Factors. 4883-4888 - Terri Elizabeth Workman
Discovering Sublanguages in a Large Clinical Corpus through Unsupervised Machine Learning and Information Gain. 4889-4898 - Hui Jin, Xie He
Noisy Subgraph Isomorphisms on Multiplex Networks. 4899-4905 - Alexei Kopylov, Jiejun Xu:
Filtering Strategies for Inexact Subgraph Matching on Noisy Multiplex Networks. 4906-4912 - Thien Nguyen, Dominic Yang, Yurun Ge, Hao Li, Andrea L. Bertozzi
Applications of Structural Equivalence to Subgraph Isomorphism on Multichannel Multigraphs. 4913-4920 - Konstantinos Pantazis, Daniel L. Sussman
Multiplex graph matching matched filters. 4921-4927 - Mayanka Chandrashekar, Joseph A. Cottam:
Graph Generation with a Focusing Lexicon. 4928-4931 - Azim Ahmadzadeh
Toward Filament Segmentation Using Deep Neural Networks. 4932-4941 - Toqi Tahamid Sarker
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation. 4942-4949 - Xumin Cai, Berkay Aydin
An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules. 4950-4959 - Maxwell Hostetter, Azim Ahmadzadeh
Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis. 4960-4966 - Ruizhe Ma, Azim Ahmadzadeh
Solar Pre-Flare Classification with Time Series Profiling. 4967-4976 - Eric L. Goodman, Dirk Grunwald:
Streaming Temporal Graphs: Subgraph Matching. 4977-4986 - Bruce Hartpence, Andres Kwasinski:
Considering the Blackbox: An Investigation of Optimization Techniques with Completely Balanced Datasets of Packet Traffic. 4987-4996 - Shinelle Hutchinson, Bing Zhou, Umit Karabiyik:
Are We Really Protected? An Investigation into the Play Protect Service. 4997-5004 - Paul Maxwell, Elie Alhajjar
Intelligent Feature Engineering for Cybersecurity. 5005-5011 - Gabriel Mendonça, Gustavo H. A. Santos, Edmundo de Souza e Silva, Rosa M. M. Leão, Daniel S. Menasché, Don Towsley
An Extremely Lightweight Approach for DDoS Detection at Home Gateways. 5012-5021 - Candice Mitchell, Rajeev Agrawal, Joshua Parker:
The Effectiveness of Edge Centrality Measures for Anomaly Detection. 5022-5027 - Amine Mrabet, Mehdi Bentounsi, Patrice Darmon:
SecP2I A Secure Multi-party Discovery of Personally Identifiable Information (PII) in Structured and Semi-structured Datasets. 5028-5033 - Taneeya Satyapanich, Tim Finin, Francis Ferraro:
Extracting Rich Semantic Information about Cybersecurity Events. 5034-5042 - Sungjae Lee, Yeonji Lee, Junho Kim, Kyungyong Lee:
RnR: Extraction of Visual Attributes from Large-Scale Fashion Dataset. 5043-5047 - Yongli Liu, Xiaoqin Zhang, Guiying Tang, Di Wang:
Multi-View Subspace Clustering based on Tensor Schatten-p Norm. 5048-5055 - Xiaoju Lu, Guiying Tang, Di Wang, Xiaoqin Zhang, Jingjing Zheng
Structural Dictionary Learning based on Non-convex Surrogate of ℓ₂, ₁ Norm for Classification. 5056-5061 - Guiying Tang, Li Zhao, Runhua Jiang, Xiaoqin Zhang:
Single Image Dehazing via Lightweight Multi-scale Networks. 5062-5069 - Xuezhi Tong, Rui Wang
Semantic Correlations Loss: Improving Model Interpretability for Multi-class Classification. 5070-5079 - Qianru Wang, Li Zhao, Guiying Tang, Hanli Zhao, Xiaoqin Zhang:
Single-Image Dehazing Using Color Attenuation Prior Based on Haze-Lines. 5080-5087 - Jerry Wang, Shiaofen Fang, Meie Fang, Jeremy Wilson
Automatic Landmark Placement for Large 3D Facial Image Dataset. 5088-5093 - Kuan-Hsien Wu, Wan-Lun Tsai, Tse-Yu Pan, Min-Chun Hu:
Robust Basketball Player Tracking Based on a Hybrid Detection Grouping Framework for Overlapping Cameras. 5094-5100 - Ruru Xu, Jungang An, Liandeng Su, Xinli Min:
Banknotes Serial Number Coding Recognition. 5101-5107 - Yingbin Zheng
Scalable Document Image Information Extraction with Application to Domain-Specific Analysis. 5108-5115 - Cong Zou, Rui Wang
Weighted Focus-Attention Deep Network for Fine-grained Image Classification. 5116-5125 - Martin Gjoreski
Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning. 5126-5130 - Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Comparing Semantic and Nutrient Value Similarities of Recipes. 5131-5139 - Vladimir Kuzmanovski
Optimization of arable land use towards meat-free and climate-smart agriculture: A case study in food self-sufficiency of Vietnam. 5140-5148 - Simon Mezgec, Barbara Korousic-Seljak:
Using Deep Learning for Food and Beverage Image Recognition. 5149-5151 - Martinson Ofori
The State and Future of Smart Agriculture: Insights from mining social media. 5152-5161 - Nives Ogrinc, Barbara Korousic-Seljak, Karl Presser, Marga Ocke, Iulia Iatco, Claudia Zoani:
Promoting Metrology in Food and Nutrition: A Position Paper on METROFOOD-RI and its e-component. 5162-5164 - Salima Benbernou, Mourad Ouziri:
QualiFood: An Intelligent Quality Food Evaluation Using Logical Satisfiability Reasoning On Spark. 5165-5171 - Gorjan Popovski
Exploring a standardized language for describing foods using embedding techniques. 5172-5176 - Takumi Saikawa, Quan Huu Cap
AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis. 5177-5182 - Barbara Korousic-Seljak, Krijn Popp, Paul Finglas, Lada Timotijevic, Pieter van't Vee, Karin Zimmerman:
Infrastructure for Innovative Research on Healthy Food Choice, Preparation and Consumption: A Position Paper on the RICHFIELDS project. 5183-5185 - Zeman Shao, Runyu Mao, Fengqing Zhu:
Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation. 5186-5189 - Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Drago Torkar, Barbara Korousic-Seljak:
Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste. 5190-5194 - Katsumasa Suwa, Quan Huu Cap
A comparable study: Intrinsic difficulties of practical plant diagnosis from wide-angle images. 5195-5201 - Chen Yang
From DIKW pyramid to graph database: a tool for machine processing of nutritional epidemiologic research data. 5202-5205 - Emmanuel Ayuyao Castillo, Ali Ahmadinia
IoT-based Multi-view Machine Vision Systems. 5206-5212 - Mehmet Demir, Ozgur Turetken
Blockchain and IoT for Delivery Assurance on Supply Chain (BIDAS). 5213-5222 - Antonio De Iasio, Angelo Furno, Lorenzo Goglia, Eugenio Zimeo:
A Microservices Platform for Monitoring and Analysis of IoT Traffic Data in Smart Cities. 5223-5232 - Dongwoo Kwon, Kisu Ok, Youngmin Ji:
IBFRAME: IoT Data Processing Framework for Intelligent Building Management. 5233-5238 - Yunfan Li, Nesrine Berjab
Centralized Trust Scheme for Cluster Routing of Wireless Sensor Networks. 5239-5248 - Ramesh Paudel, Timothy Muncy, William Eberle:
Detecting DoS Attack in Smart Home IoT Devices Using a Graph-Based Approach. 5249-5258 - Vishal Perekadan, Tathagata Mukherjee, Chaity Banerjee, Eduardo Pasiliao:
RF-MSiP: Radio Frequency Multi-source Indoor Positioning. 5259-5268 - Guillermo Ramírez-Prado, Bashar Barmada, Veronica Liesaputra:
Non-intrusive behavior awareness for residents of a smart house. 5269-5273 - Kashyap Venkatesh, Bashar Barmada, Veronica Liesaputra, Guillermo Ramírez-Prado:
Resilient Activities Tracking in a Smart Home using Ultrasonic Sensors. 5274-5281 - Steven A. Wright
Privacy in IoT Blockchains: with Big Data comes Big Responsibility. 5282-5291 - Xiaoning Cui, Wei Shang, Fuxin Jiang
Stock Index Forecasting by Hidden Markov Models with Trends Recognition. 5292-5297 - Paula Lauren, Paul Watta:
A Conversational User Interface for Stock Analysis. 5298-5305 - Lu Liu, Liangqiang Li, Miyan Liao, Liang Yang, You Li:
What Make a Network Novel Popular? Implications for "Qidian.com". 5306-5312 - Yinglan Qin, Yuki Akiyama, Yoshiki Ogawa
Study on the relationship between house rent and people congestion by time in Tokyo based on mobile phone GPS data. 5313-5320 - Ruoying Sun, Peng Sun, Jiahui Li, Gang Zhao:
Inventory Cost Control Model for Fresh Product Retailers Based on DQN. 5321-5325 - Yuanyuan Tang, Qingmei Wang, Wei Xu, Mingming Wang, Zhaowei Wang:
Natural Gas Price Prediction with Big Data. 5326-5330 - Cui Wang, Xingfen Wang, Wenying Zhuang:
The Research on Cross-border Online Shopping Transaction Risk Based on Online Data Access. 5331-5335 - Stephen Bonner, Amir Atapour Abarghouei
Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions. 5336-5345 - Zhiliang Chen, Junfeng Wu, Huakang Li, Guozi Sun:
Characterization and graph embedding of weighted social networks through Diffusion Wavelets. 5346-5352 - Jun Jin Choong
Optimizing Variational Graph Autoencoder for Community Detection. 5353-5358 - Jiaming Guo, Wei Qiu, Xiang Li
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. 5359-5363 - Shoma Kikuchi, Ichigaku Takigawa, Satoshi Oyama, Masahito Kurihara:
Learning Relevant Molecular Representations via Self-Attentive Graph Neural Networks. 5364-5369 - Rui Miao, Xia Zhang, Hongfei Yan, Chong Chen:
A Dynamic Financial Knowledge Graph Based on Reinforcement Learning and Transfer Learning. 5370-5378 - Keiichi Ochiai, Naoki Yamamoto, Takashi Hamatani, Yusuke Fukazawa, Takayasu Yamaguchi:
Exploiting Graph Convolutional Networks for Representation Learning of Mobile App Usage. 5379-5383 - Jose L. Segovia-Juarez
Graph classification with the hypernetwork, a molecule interaction based evolutionary architecture. 5384-5393 - Huan Song, Jayaraman J. Thiagarajan:
Improved Deep Embeddings for Inferencing with Multi-Layered Graphs. 5394-5400 - Shen Wang, Philip S. Yu:
Heterogeneous Graph Matching Networks: Application to Unknown Malware Detection. 5401-5408 - Xuan Hu, Jie Gong, Eduard Gibert Renart, Manish Parashar:
Two-Stage Framework for Big Spatial Data Analytics to Support Disaster Response. 5409-5418 - James Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott:
A Comparison of Deep Learning Vehicle Group Detection in Satellite Imagery. 5419-5427 - Alan B. Cannaday II, Raymond L. Chastain, James Alex Hurt, Curt H. Davis, Grant J. Scott, Andrew J. Maltenfort:
Decision-Level Fusion of DNN Outputs for Improving Feature Detection Performance on Large-Scale Remote Sensing Image Datasets. 5428-5436 - Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas:
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. 5437-5443 - Bishwas Praveen, Vineetha Menon:
Novel Deep-Learning-Based Spatial-Spectral Feature Extraction For Hyperspectral Remote Sensing Applications. 5444-5452 - Alex Yang, James Alex Hurt, Charlie T. Veal, Grant J. Scott:
Remote Sensing Object Localization with Deep Heterogeneous Superpixel Features. 5453-5461 - Masoud Yari, Maryam Rahnemoonfar, John Paden, Ibikunle Oluwanisola, Lora Koenig, Lynn Montgomery:
Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning. 5462-5468 - Xuhui Chen, Xufei Wang, Kun Yang:
Asynchronous Blockchain-based Privacy-preserving Training Framework for Disease Diagnosis. 5469-5473 - Mahdi Ghadamyari, Saeed Samet:
Privacy-Preserving Statistical Analysis of Health Data Using Paillier Homomorphic Encryption and Permissioned Blockchain. 5474-5479 - Najim Al-Baghdadi, Wojciech Wisniewski, David Lindsay
Structuring Time Series Data to Gain Insight into Agent Behaviour. 5480-5490 - Nitish Bahadur, Randy C. Paffenroth
Dimenslon Estlmatlon of Equlty Markets. 5491-5498 - Ahmed M. Balfagih, Vlado Keselj
Evaluating Sentiment C1assifiers for Bitcoin Tweets in Price Prediction Task. 5499-5506 - Maartje Corstjens, Marzieh Bakhshandeh, Pinar Kahraman, Joost Bosman:
Predicting the daily number of payment transactions in the largest bank in the Netherlands: Application to Banking Data. 5507-5512 - Arvand Fazeli, Sheridan K. Houghten:
Deep Learning for the Prediction of Stock Market Trends. 5513-5521 - Jieyun Huang, Xi Zhang, Binxing Fang:
CoStock: A DeepFM Model for Stock Market Prediction with Attentional Embeddings. 5522-5531 - Izumo Hidetaka, Yiou Wang:
A Semi-Supervised Approach for Identification of the Sections in Charge of RFQ Documents. 5532-5535 - Taeyoung Kee:
Peer Firm Identification Using Word Embeddings. 5536-5543 - Shubhankar Mohapatra
KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments. 5544-5551 - Ryan Moriarty, Howard Ly, Ellie Lan, Suzanne K. McIntosh:
Deal or No Deal: Predicting Mergers and Acquisitions at Scale. 5552-5558 - Alissa Ostapenko, Rodica Neamtu, Frazer Anderson:
FinDX: A Versatile, Low-Resource Approach to Financial Website Classification. 5559-5568 - Jia-Hao Syu
A Framework of Applying Kelly Stationary Index to Stock Trading in Taiwan Market. 5569-5572 - Yichuan Xu, Vlado Keselj
Stock Prediction using Deep Learning and Sentiment Analysis. 5573-5580 - Savas Yildirim, Dhanya Jothimani, Can Kavaklioglu, Ayse Basar
Deep Learning Approaches for Sentiment Analysis on Financial Microblog Dataset. 5581-5584 - Sreyasee Das Bhattacharjee, William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho, Abdullah al-Raihan Nayeem
Multi-View, Generative, Transfer Learning for Distributed Time Series Classification. 5585-5594 - Cheniki Abderrouaf, Mourad Oussalah:
On Online Hate Speech Detection. Effects of Negated Data Construction. 5595-5602 - Ke Alexander Wang, Xinran Bian, Pan Liu
DC2: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering. 5603-5610 - Kei Yonekawa
Advertiser-Assisted Behavioral Ad-Targeting via Denoised Distribution Induction. 5611-5619 - Peijiang Zhao, Koji Zettsu:
Decoder Transfer Learning for Predicting Personal Exposure to Air Pollution. 5620-5629 - Conrad M. Albrecht
Learning and Recognizing Archeological Features from LiDAR Data. 5630-5636 - Levente J. Klein, Conrad M. Albrecht
N-dimensional geospatial data and analytics for critical infrastructure risk assessment. 5637-5643 - Anh-Vu Vo
Efficient LiDAR point cloud data encoding for scalable data management within the Hadoop eco-system. 5644-5653 - Yu Zhang, Gongbo Liang
Defense-PointNet: Protecting PointNet Against Adversarial Attacks. 5654-5660 - Vibhatha Abeykoon, Gregor von Laszewski
Streaming Machine Learning Algorithms with Big Data Systems. 5661-5666 - Selahattin Akkas, Sahaj Singh Maini, Judy Qiu:
A Fast Video Image Detection using TensorFlow Mobile Networks for Racing Cars. 5667-5672 - Duy H. Ho, Raj Marri, Sirisha Rella, Yugyung Lee:
DeepLite: Real-Time Deep Learning Framework for Neighborhood Analysis. 5673-5678 - Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov
Benchmarking Deep Learning for Time Series: Challenges and Directions. 5679-5682 - David J. Huber, Nigel Stepp, Aruna Jammalamadaka, Tiffany Kim, Sam Johnson, Dana Warmsley, Tsai-Ching Lu:
MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. 5683-5687 - André Luckow, Shantenu Jha
Performance Characterization and Modeling of Serverless and HPC Streaming Applications. 5688-5696 - Zakaria El Mrabet, Daisy Flora Selvaraj, Prakash Ranganathan:
Adaptive Hoeffding Tree with Transfer Learning for Streaming Synchrophasor Data Sets. 5697-5704 - Mohammed M. Alawad
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. 5705-5710 - Zeyad A. Al-Odat
Anonymous Privacy-Preserving Scheme for Big Data Over the Cloud. 5711-5717 - Hsiang-Hsuan Chen, Yuh-Jye Lee
Distributed Consensus Reduced Support Vector Machine. 5718-5727 - Philip Derbeko, Shlomi Dolev, Ehud Gudes:
Deep Neural Networks as Similitude Models for Sharing Big Data. 5728-5736 - Saharnaz E. Dilmaghani, Matthias R. Brust
Privacy and Security of Big Data in AI Systems: A Research and Standards Perspective. 5737-5743 - Christian Gehrmann, Martin Gunnarsson:
An Identity Privacy Preserving IoT Data Protection Scheme for Cloud Based Analytics. 5744-5753 - Velislava Hillman
Kratos: A secure, authenticated and publicly verifiable system for educational data using the blockchain. 5754-5762 - Markus Hittmeir
Utility and Privacy Assessments of Synthetic Data for Regression Tasks. 5763-5772 - Mikel Joaristi, Arthur Putnam, Alfredo Cuzzocrea, Edoardo Serra
RIBS: Risky Blind-Spots for Attack Classification Models. 5773-5779 - Shah Mahmood:
Framework - Better Privacy on Online Social Networks and Beyond. 5780-5788 - Mohammad Masum
Droid-NNet: Deep Learning Neural Network for Android Malware Detection. 5789-5793 - Mahboob Qaosar, Kazi Md. Rokibul Alam, Chen Li
Privacy-preserving Top-k Dominating Queries in Distributed Multi-party Databases. 5794-5803 - Walisa Romsaiyud, Henning Schnoor, Wilhelm Hasselbring
Improving k-Nearest Neighbor Pattern Recognition Models for Privacy-Preserving Data Analysis. 5804-5813 - Hossain Shahriar
Experiential Learning: Case Study-Based Portable Hands-on Regression Labware for Cyber Fraud Prediction. 5814-5818 - Dan Zhao, Hong Chen, Suyun Zhao, Xiaoying Zhang, Cuiping Li, Ruixuan Liu:
Local Differential Privacy with K-anonymous for Frequency Estimation. 5819-5828 - Tian Han
A Deep Leaming Model with Multi-Scale Skip Connections for Solar Flare Prediction Combined with Prior Information. 5829-5835 - Dan McGuire, Renan Sauteraud, Vishal Midya
Window-Based Feature Extraction Method Using XGBoost for Time Series Classification of Solar Flares. 5836-5843 - Chau Pham, Vung Pham
Solar Flare Prediction Using Two-tier Ensemble with Deep Learning and Gradient Boosting Machine. 5844-5853 - Cong Dong, Yufan Chen, YunJian Zhang, Bo Jiang, Dongxu Han, Baoxu Liu:
An Approach for Scale Suspicious Network Events Detection. 5854-5863 - Nitika Gupta, Issa Traoré, Paulo Magella de Faria Quinan:
Automated Event Prioritization for Security Operation Center using Deep Learning. 5864-5872 - Angus F. M. Huang, Chi-Wei Yang, Hsiao-Chi Tai, Yang Chuan, Jay J. C. Huang, Yu-Han Liao:
Suspicious Network Event Recognition Using Modified Stacking Ensemble Machine Learning. 5873-5880 - Andrzej Janusz
IEEE BigData 2019 Cup: Suspicious Network Event Recognition. 5881-5887 - Zhiwen Jian, Hiroshi Sakai
An Apriori-based Data Analysis on Suspicious Network Event Recognition. 5888-5896 - Chang Lin:
Naive Transfer Learning Approaches for Suspicious Event Prediction. 5897-5901 - Lukasz Podlodowski
Application of XGBoost to the cyber-security problem of detecting suspicious network traffic events. 5902-5907 - Teresa M. Ranadive, Christopher J. Coley:
IEEE BigData 2019 Cup: Binary Classification via Tensor Completion. 5908-5914 - Daniele Sartiano
Suspicious Network Event Recognition Leveraging on Machine Learning. 5915-5920 - Quang Hieu Vu, Dymitr Ruta, Ling Cen:
Gradient boosting decision trees for cyber security threats detection based on network events logs. 5921-5928 - Tian Wang, Chen Zhang, Zhigang Lu, Dan Du, Yaopeng Han:
Identifying Truly Suspicious Events and False Alarms Based on Alert Graph. 5929-5936 - Peilin Wu, Jinlei Li, Yan Meng, Haojin Zhu
An Ensemble Approach for Suspicious Traffic Detection from High Recall Network Alerts. 5937-5944 - Shu-Yi Xie, Jian Ma, Yu-Bin Luo, Lian-Xin Jiang, Shirly Jin, Yang Mo, Jian-Ping Shen:
Models and Features with Covariate Shift Adaptation for Suspicious Network Event Recognition. 5945-5950 - Akankshya Mishra, Yashvardhan Sharma:
Language Identification and Context-based Analysis of Code-switching Behaviors in Social Media Discussions. 5951-5956 - Anuj Saini:
Anuj@IEEE BigData 2019: A Novel Code-Switching Behavior Analysis in Social Media Discussions Natural Language Processing. 5957-5961 - Alireza Abdoli, Amy C. Murillo, Alec C. Gerry, Eamonn J. Keogh:
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior. 5962-5964 - Alex Aizman, Gavin Maltby, Thomas M. Breuel:
High Performance I/O For Large Scale Deep Learning. 5965-5967 - Essa Alhazmi, Nazim Choudhury:
Sign Prediction in Online Games. 5968-5970 - Ibrahim Almubark, Lin-Ching Chang
Early Detection of Alzheimer's Disease Using Patient Neuropsychological and Cognitive Data and Machine Learning Techniques. 5971-5973 - Youness Arjoune, Sai Peri, Niroop Sugunaraj, Debanjan Sadhukhan, Michael Nord, Gautham Krishnamoorthy, David Flynn, Prakash Ranganathan:
Thermal Imagery Based Instance Segmentation for Energy Audit Applications in Buildings. 5974-5976 - Darlan Arruda, Nazim H. Madhavji:
QualiBD: A Tool for Modelling Quality Requirements for Big Data Applications. 5977-5979 - Shilpa Balan, Tanvi Gawade, Aakanksha Tasgaonkar:
A Machine Learning Approach for Prediction of Length of Stay for the Kid's Inpatient Database. 5980-5982 - Eric Bax, John Donald:
Sharp Frequency Bounds for Sample-Based Queries. 5983-5985 - Amir Behrouzi-Far, Emina Soljanin
Data Replication for Reducing Computing Time in Distributed Systems with Stragglers. 5986-5988 - Amir Behrouzi-Far, Emina Soljanin
Scheduling in the Presence of Data Intensive Compute Jobs. 5989-5991 - Mark Capelo, Karan Aggarwal, Pranjul Yadav:
Combining Text and Image data for Product Recommendability Modeling. 5992-5994 - Giovanni Capobianco, Umberto Di Giacomo, Tommaso Di Tusa, Francesco Mercaldo, Antonella Santone:
A Methodology for Real-Time Data Verification exploiting Deep Learning and Model Checking. 5995-5997 - Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
A Model Checking based Proposal for Mobile Colluding Attack Detection. 5998-6000 - Joseph M. Cauthen, Tejas Gandre, Marco A. Mercado Espinoza, Meetkumar J. Patel, Mohammad I Husain:
An Authentication System using Neurological Responses to Music. 6001-6003 - Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim
Federated Wireless Network Intrusion Detection. 6004-6006 - Hsing-bung Chen, Zhi Qiao
Applying SDN based data network on HPC Big Data Computing - Design, Implementation, and Evaluation. 6007-6009 - Shuan Chen
Designing Novel Functional Peptides by Manipulating a Temperature in the Softmax Function Coupled with Variational Autoencoder. 6010-6012 - Cheng-Yu Chen, Shun-Wen Hsiao:
IoT Malware Dynamic Analysis Profiling System and Family Behavior Analysis. 6013-6015 - Jhih-Jie Chen, Yi-Dong Wu, Yu-Chuan Tai, Ching-Yu Helen Yang
Extracting Grammatical Error Corrections from Wikipedia Revision History. 6016-6018 - Ji Cheng, Guimu Guo, Da Yan, Xiaotian Hao, Wilfred Ng:
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models. 6019-6021 - Sung-Wook Choi, Chang-Seob Song, Chae-Soo Kim:
Parts Catalog Object Recognition Technology for Efficient Drawing Distribution Management. 6022-6023 - Eugene W. J. Choy, Winston M. K. Ho, Xiaohang Li, Ragini Verma, Li J. Sim, Kyong Jin Shim
Happy Toilet: A Social Analytics Approach to the Study of Public Toilet Cleanliness. 6024-6026 - Eugene W. J. Choy, Gladys H. L. Ng, Martius J. H. Lim, Kyong Jin Shim
Listen, Nudge, Empower: A Mobile Gratitude Journal Application. 6027-6029 - Roshan Bharath Das, Marc X. Makkes
A Programming Framework for Heterogeneous Stream Analytics. 6030-6032 - Ranjeet Devarakonda
Big Federal Data Centers Implementing FAIR Data Principles: ARM Data Center Example. 6033-6036 - Yifan Ding
Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding. 6037-6039 - Rabiyatou Diouf, Edouard Ngor Sarr, Ousmane Sall
Web Scraping: State-of-the-Art and Areas of Application. 6040-6042 - Timothy John Ebido, KiChul Park, Kyungho Jeon:
Targoat: Improving Dataset Upload Time to Object Storage using Client-Server Cooperation. 6043-6045 - Mehrad Eslami, Yicheng Tu, Hadi Charkhgard, Zichen Xu, Jiacheng Liu:
PsiDB: A Framework for Batched Query Processing and Optimization. 6046-6048 - Emad A. Felemban
An Optimized Scheduling Process for a Large Crowd to Perform Spatio-temporal Movements Safely during Pilgrimage. 6049-6051 - Byron J. Gao, Frank Medjo:
Statistical Correction of Average Customer Ratings for Product Ranking. 6052-6054 - Byron J. Gao, Gayathri Karupakula Jagadeesh Kumar:
CoRank: Simultaneously Ranking Publication Venues and Researchers. 6055-6057 - Li Gao, Weikai He:
On Understanding Biosonar Deformations Using Deep Learning-Based Video Interpolation. 6058-6059 - Li Gao, Hongjie Jiang, Kaiming Fu, Weikai He:
On Understanding Degradation Kinetics of Pharmaceutic Gelatin Matrices for Precision Medicine: A Deep Learning Approach. 6060-6062 - Charles Grumer, Jonathan Peck, Femi G. Olumofin, Anderson C. A. Nascimento
Hardening DGA Classifiers Utilizing IVAP. 6063-6065 - Guimu Guo, Jalal Majed Khalil, Da Yan, Virginia P. Sisiopiku:
Realistic Transport Simulation with Open Data. 6066-6068 - Weikai He, Li Gao:
A Statistical Causal Inference Method for Exploring Ultrasonics and Topological Deformations in Biological Systems. 6069-6070 - Georg Heiler, Allan Hanbury:
Comparing Implementation Variants Of Distributed Spatial Join on Spark. 6071-6073 - EunJeong Hwang, Yong-Hyuk Kim:
Interdependency between the Stock Market and Financial News. 6074-6076 - Najib Ishaq, George Student, Noah M. Daniels:
Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data. 6077 - Koji Iwanuma, Takumi Nishina, Yoshitaka Yamamoto:
Accelerating an On-Line Approximation Mining for Large Closed Itemsets. 6078-6080 - Kihoon Jang, Junwhan Kim, Byunggu Yu
Vector-based Churn Prediction using Neural Networks in Mobile Games. 6081-6083 - Yong Jin, Masahiko Tomoishi, Satoshi Matsuura:
Detection of Hijacked Authoritative DNS Servers by Name Resolution Traffic Classification. 6084-6085 - Sukhwan Jung, Wan Chul Yoon:
Citation-Based Author Contribution Measure for Byline-Independency. 6086-6088 - Murtadha Kareem
Establishing the safety of a smart heart health monitoring service through validation. 6089-6091 - Mohsen Karimi
Border Gateway Protocol Anomaly Detection Using Neural Network. 6092-6094 - Evdokia Kassela, Ioannis Konstantinou
Towards a Multi-engine Query Optimizer for Complex SQL Queries on Big Data. 6095-6097 - Evdokia Kassela, Nikodimos Provatas, Asterios Tsiourvas, Ioannis Konstantinou
BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization. 6098-6100 - Seung-Beom Son, Jun-Yeong Kwon, Chae-Soo Kim:
A Study on Solution Oriented Smart Factory Diagnostic System for SME. 6101-6103 - Sylvie Koziel, Patrik Hilber, Ryutaro Ichise:
Application of big data analytics to support power networks and their transition towards smart grids. 6104-6106 - Kazuma Kusu
Recurrent Path Index for Efficient Graph Traversal. 6107-6109 - Choudur Lakshminarayan, Thiagarajan Ramakrishnan, Awny Al-Omari, Khaled Bouaziz, Faraz Ahmad, Sri Raghavan, Prama Agarwal:
Model Management and Handwritten Character Recognition: An Enterprise Solution. 6110-6112 - Lok Ting Lam, Shun-Wen Hsiao:
AI-Based Online P2P Lending Risk Assessment On Social Network Data With Missing Value. 6113-6115 - Warren Landis, Sangwhan Cha, Majid Shaalan:
On Optimization of Stock Market Prediction Methods. 6116-6118 - Cheng L. Lee, Joel-David J. J. Wong, Zi Y. Lim, Belinda S. T. Tho, Sean S. W. Kwek, Kyong Jin Shim
How Does Fake News Spread: Raising Awareness & Educating the Public with a Simulation Tool. 6119-6121 - Jiwan Lee, Bonghee Hong, Chumsoo Kim, Woo-Chan Kim:
Development of a Continuous Complex Event Processing Platform for Real-Time Tactical Moving Objects. 6122-6124 - Frederique van Leeuwen:
Utilizing Multivariate Time Series for Semantic Segmentation. 6125-6127 - Tao Li, Minsoo Choi
Music Sequence Prediction with Mixture Hidden Markov Models. 6128-6132 - Yuming Li
A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF. 6133-6135 - Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope
Learning a Faceted Customer Segmentation for Discovering new Business Opportunities at Intel. 6136-6138 - Cenru Liu:
A Hierarchical Classification Model for Solar Flare Prediction. 6139-6141 - Crisrael Lucero, Phuong H. Nguyen:
A Modern Approach to Big Provenance. 6142-6144 - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Federated Query processing for Big Data in Data Science. 6145-6147 - Daisuke Maeda, Sudhanshu Gaur:
Remaining Useful Life Prediction of Industrial Consumables Using Wideband Vibration Signals. 6148-6150 - Abbas Mazloumi, Rajiv Gupta
Enabling Faster Convergence in Distributed Irregular Graph Processing. 6151-6153 - Cristina Menghini, Aris Anagnostopoulos
Wikipedia Polarization and Its Effects on Navigation Paths. 6154-6156 - Thilanka Munasinghe, Evan W. Patton, Oshani Seneviratne
IoT Application Development Using MIT App Inventor to Collect and Analyze Sensor Data. 6157-6159 - Kouichi Nagatani, Chisa Takano, Masaki Aida:
Spectral Analysis of User Interests for Experimental Verification of the Oscillation Model for OSNs. 6160-6162 - Lilian Ngweta, Karan Bhanot, Ariane Maharaj, Ian Bogle, Thilanka Munasinghe:
Identifying the Relationship between Precipitation and Zika Outbreaks in Argentina. 6163-6165 - Pin Ni
Disease Diagnosis Prediction of EMR Based on BiGRU-Att-CapsNetwork Model. 6166-6168 - Onyeka Emebo
Identifying Implicit Requirements in SRS Big Data. 6169-6171 - Masafumi Oyamada:
Extracting Feature Engineering Knowledge from Data Science Notebooks. 6172-6173 - Parag Paul, Manas Sharma:
Q95-squared, a tuple of singular metrics to define histogram quality for a database system. 6174-6176 - Yun Ning Pek, Kwan Hui Lim:
Identifying and Understanding Business Trends using Topic Models with Word Embedding. 6177-6179 - Junkun Peng, Pin Ni
Automatic Generation of Electronic Medical Record Based on GPT2 Model. 6180-6182 - John Pomerat, Aviv Segev, Rituparna Datta:
On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression. 6183-6185 - Maruthi Prithivirajan, Kyong Jin Shim
An IoT-Driven Smart Cafe Solution for Human Traffic Management. 6186-6188 - Nikodimos Provatas, Ioannis Konstantinou
Towards Faster Distributed Deep Learning Using Data Hashing Techniques. 6189-6191 - Haodi Qi, Hanyu Jiang, Wende Bu, Chengzi Zhang, Kyong Jin Shim
Tracking Political Events in Social Media: A Case Study of Hong Kong Protests. 6192-6194 - Abrar Rahman
A Big-Data Approach to Defining Breathing Signatures for Identifying Respiratory Disease. 6195-6197 - Abrar Rahman
Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter. 6198-6200 - Hani Ramadhan
Extracting valid indoor semantic trajectories using movement constraints. 6201-6202 - Guillermo Ramírez-Prado, Bashar Barmada, Veronica Liesaputra:
On non-intrusive prediction of activities and behavior. 6203-6204 - Monika Ray, Banafsheh Sadeghi, Dominique Ritley, Patrick S. Romano:
Impact of Mandated Public Reporting in California on 30-Day readmission following CABG surgery: A Health policy analysis. 6205-6207 - Kush Arya, Teja Reddy, Zachary Dodds:
The Limits to the Efficiency of Machine Learning. 6208-6210 - Edouard Ngor Sarr, Ousmane Sall
Automatic Categorization of Press Articles through Learning: The Case of Senegalese Online Press. 6211-6213 - Jane H. K. Seah, Kyong Jin Shim
Plugin to a Healthier Life: A Web Browser Plugin for Mental Health Monitoring. 6214-6216 - Joseph Sebastian, Thilanka Munasinghe:
Airline Miles Redemption. 6217-6219 - Zhengwu Sun, Dan Chia-Tien Lo, Yong Shi:
Big Data Analysis on Social Networking. 6220-6222 - Kun-Yuan Sung, Shun-Wen Hsiao:
Mitigating DDoS with PoW and Game Theory. 6223-6225 - Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu:
The Internet of Responsibilities - Connecting Human Responsibilities using Big Data and Blockchain. 6226-6228 - Anh Thai, Vy Bui, Laura Reyes, Lin-Ching Chang
Using Deep Convolutional Neural Network for Mouse Brain Segmentation in DT-MRI. 6229-6231 - Pengcheng Xie, Hui Li, Haiyang Yu, Zequan Chen:
AONT-NZZD: A Secure and Efficient Dispersal Scheme in Distributed Storage Systems. 6232-6239 - Fabio Di Tommaso, Michele Guerra
User Authentication through Keystroke Dynamics by means of Model Checking: A Proposal. 6232-6234 - Hai-Lun Tu, Peichen Ho, Jason S. Chang, Li-Guang Chen:
Word Sense Disambiguation Using Wikipedia Link Graph. 6235-6236 - Kashyap Venkatesh, Bashar Barmada, Veronica Liesaputra, Guillermo Ramírez-Prado:
Robust Features for Activities Recognition. 6237-6239 - Zhichao Wang, Shashank Singh, Arnold Pereira:
Large Scale Time Series Analysis for Infrastructure Reliability. 6240-6242 - Wei Wang, Changyang Feng, Wei Quan:
Data-driven control of a class of discrete-time linear complex dynamical networks. 6243-6245 - Xingang Wang, Renshi Yu, Tailian Liu, Wenqing Li, Xiaoling Sun:
Map Adjustment As a Base for Privacy Assurance in Semantic Spatial Trajectories Release. 6246-6247 - Junyaup Kim, Siho Han, Simon S. Woo:
Classifying Genuine Face images from Disguised Face Images. 6248-6250 - Lili Xiang, Alice Mello, Ryan Ackerman:
Launching a User-Generated Content Campaign to Promote PUMA's Social Contributions. 6251-6253 - Sumedh Yadav, Gautam Kumar, Shivam Kumar:
A graph construction study for graph-based semi-supervised learning: Case study on unstructured text data. 6254-6256 - Kenta Yamada, Hayato Yamana
Effectiveness of Usability & Performance Features for Web Credibility Evaluation. 6257-6259 - Rujing Yao, Linlin Hou, Yingchun Ye, Ji Zhang, Jian Wu:
Method and Dataset Mining in Scientific Papers. 6260-6262 - Jiayi Zhu, Pin Ni
An Word2vec based on Chinese Medical Knowledge. 6263-6265 - Bryan H. Wodi
Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Data. 1-10
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