Abstract is missing.
- Understanding and Mitigating Threats from Android Hybrid Apps Using Machine LearningA. K. Singh, Navneet Goyal. 1-9 [doi]
- Data for Good: Ensuring the Responsible Use of Data to Benefit SocietyJeannette M. Wing. 1-2 [doi]
- Evaluation of Fuzzy Integral Data Fusion Methods for Rare Object Detection in High-Resolution Satellite ImageryAlan B. Cannaday, Curt H. Davis, A. J. Maltenfort. 1-10 [doi]
- Pandemic Effect: Degradation of Speech Reception Due to Medical MasksOzgun Pinarer, Sultan Turhan. 1-7 [doi]
- Making "Magic" with Engineered Decisions, Data, and Processes: A Hospital Operations CenterJohn Celona, Louis Halamek, Adam Seiver. 1-8 [doi]
- Towards High-Quality Big Data: Lessons from FITDivesh Srivastava. 4 [doi]
- A theoretical analysis of graph evolution caused by triadic closure and algorithmic implicationsSara Ahmadian, Shahrzad Haddadan. 5-14 [doi]
- Asynchronous Online Federated Learning for Edge Devices with Non-IID DataYujing Chen, Yue Ning, Martin Slawski, Huzefa Rangwala. 15-24 [doi]
- "To Tell You the Truth" by Interval-Private DataJie Ding, Bangjun Ding. 25-32 [doi]
- TadGAN: Time Series Anomaly Detection Using Generative Adversarial NetworksAlexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni. 33-43 [doi]
- GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in GraphsSheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu. 44-53 [doi]
- Augmenting Deep Learning with Relational Knowledge from Markov Logic NetworksMohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal. 54-63 [doi]
- An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR SystemsFarzaneh Khoshnevisan, Min Chi. 64-73 [doi]
- Combining Multiple Implicit-Explicit Interactions for Regression AnalysisMinkyu Kim, Suan Lee, Jinho Kim. 74-83 [doi]
- Connecting MapReduce Computations to Realistic Machine ModelsPeter Sanders 0001. 84-93 [doi]
- Applications of Particle Swarm Optimization to System Identification and Supervised LearningNoah Schwalb, Edward Schwalb. 94-101 [doi]
- Unsupervised Drift Detection on High-speed Data StreamsVinicius M. A. Souza, Farhan Asif Chowdhury, Abdullah Mueen. 102-111 [doi]
- Improving Model Training by Periodic Sampling over Weight DistributionsSamarth Tripathi, Jiayi Liu, Sauptik Dhar, Unmesh Kurup, Mohak Shah. 112-122 [doi]
- State Action Separable Reinforcement LearningZiyao Zhang, Liang Ma 0002, Kin K. Leung, Konstantinos Poularakis, Mudhakar Srivatsa. 123-132 [doi]
- Understanding and Detecting Convergence for Stochastic Gradient Descent with MomentumJerry Chee, Ping Li. 133-140 [doi]
- Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical StudyCheng Chen, Junjie Yang, Yi Zhou. 141-146 [doi]
- BurstPU: Classification of Weakly Labeled Datasets with Sequential BiasWalter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz AlAjaji, Hamid Mansoor, Aidan Murphy, Elke A. Rundensteiner, Emmanuel Agu. 147-154 [doi]
- General Domain Adaptation Through Proportional Progressive Pseudo LabelingMohammad J. Hashemi, Eric Keller. 155-162 [doi]
- Fast and Accurate Tensor Decomposition without a High Performance Computing MachineHuan He, Yuanzhe Xi, Joyce C. Ho. 163-170 [doi]
- Optimization of Graph Neural Networks with Natural Gradient DescentMohammad Rasool Izadi, Yihao Fang, Robert Stevenson, Lizhen Lin. 171-179 [doi]
- Combining Global and Sequential Patterns for Multivariate Time Series ForecastingZhaoxi Li, Jun He 0008, Hongyan Liu, Xiaoyong Du 0001. 180-187 [doi]
- The Canonical Interval Forest (CIF) Classifier for Time Series ClassificationMatthew Middlehurst, James Large, Anthony J. Bagnall. 188-195 [doi]
- Scale-Aware Graph-Based Machine Learning for Accurate Molecular Property PredictionGyoung S. Na, Hyun Woo Kim, Hyunju Chang. 196-203 [doi]
- Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric ClusteringYang Ni, David Jones, Zeya Wang. 204-209 [doi]
- Sketches: Fast Membership Scans for Continuous Variable Predicate WorkloadsEdward Schwalb. 210-217 [doi]
- A Predictive Analytics Framework for Insider Trading EventsTaruna Seth, Vipin Chaudhary. 218-225 [doi]
- Robust Adversarial Active Learning with a Novel Diversity ConstraintChengbin Sun, Hailong Sun 0001, Xudong Liu 0001. 226-231 [doi]
- A Non-linear Function-on-Function Model for Regression with Time Series DataQiyao Wang, Haiyan Wang, Chetan Gupta 0001, Aniruddha Rajendra Rao, Hamed Khorasgani. 232-239 [doi]
- Forecasting with Multiple SeasonalityTianyang Xie, Jie Ding. 240-245 [doi]
- Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data CollectionsKevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara. 246-255 [doi]
- HReplica: A Dynamic Data Replication Engine with Adaptive Compression for Multi-Tiered StorageHariharan Devarajan, Anthony Kougkas, Xian-He Sun. 256-265 [doi]
- Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian OptimizationAyat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice. 266-275 [doi]
- HeAT - a Distributed and GPU-accelerated Tensor Framework for Data AnalyticsMarkus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann, Achim Streit. 276-287 [doi]
- OverSketched Newton: Fast Convex Optimization for Serverless SystemsVipul Gupta, Swanand Kadhe, Thomas A. Courtade, Michael W. Mahoney, Kannan Ramchandran. 288-297 [doi]
- Large-Scale Intelligent MicroservicesMark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T. Freeman. 298-309 [doi]
- Towards Self-Tuning Parameter ServersChris Liu, Pengfei Zhang, Bo Tang 0016, Hang Shen, Ziliang Lai, Eric Lo 0001, Korris Chung. 310-319 [doi]
- NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.IMatthew Madany, Kyle Marcus, Steven Peltier, Mark H. Ellisman, Ilkay Altintas. 320-330 [doi]
- ReSpark: Automatic Caching for Iterative Applications in Apache SparkMichael J. Mior, Kenneth Salem. 331-340 [doi]
- Evaluating the Accuracy of Cloud NLP Services Using Ground-Truth ExperimentsFrank Pallas, Dimitri Staufer, Jörn Kuhlenkamp. 341-350 [doi]
- Improved Data Locality Using Morton-order Curve on the Example of LU DecompositionMartin Perdacher, Claudia Plant, Christian Böhm. 351-360 [doi]
- ~PB&J~ - Easy Automation of Data Science/Machine Learning WorkflowsBuvaneswari Ramanan, Lawrence M. Drabeck, Thomas Woo, Troy Cauble, Anil Rana. 361-371 [doi]
- Extensible Data SkippingPaula Ta-Shma, Guy Khazma, Gal Lushi, Oshrit Feder. 372-382 [doi]
- HyGN: Hybrid Graph Engine for NUMATanuj kr Aasawat, Tahsin Reza, Kazuki Yoshizoe, Matei Ripeanu. 383-390 [doi]
- DSCEP: An Infrastructure for Decentralized Semantic Complex Event ProcessingVitor Pinheiro de Almeida, Sukanya Bhowmik, Guilherme F. Lima, Markus Endler, Kurt Rothermel. 391-398 [doi]
- Extending the R Language with a Scalable Matrix Summarization OperatorSikder Tahsin Al-Amin, Siva Uday Sampreeth Chebolu, Carlos Ordonez 0001. 399-405 [doi]
- A Genetic Optimization Physical Planner for Big Data WarehousesSoumia Benkrid, Yacine Mestoui, Ladjel Bellatreche, Carlos Ordonez 0001. 406-412 [doi]
- Massively Parallel Random Number GenerationChristian Böhm, Claudia Plant. 413-419 [doi]
- An Adaptive Layer Expansion Algorithm for Efficient Training of Deep Neural NetworksYi-Long Chen, Pangfeng Liu, Jan-Jan Wu. 420-425 [doi]
- Effectively Using Remote I/O For Work Composition in Distributed WorkflowsRyan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube 0001. 426-433 [doi]
- Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing JobsMorgan K. Geldenhuys, Lauritz Thamsen, Odej Kao. 434-440 [doi]
- Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM)James Henrydoss, Steve Cruz, Chunchun Li, Manuel Günther, Terrance E. Boult. 441-448 [doi]
- Highly-Scalable Container Integrity Monitoring for Large-Scale Kubernetes ClusterHirokuni Kitahara, Kugamoorthy Gajananan, Yuji Watanabe. 449-454 [doi]
- Comprehensive Comparison of LSM Architectures for Spatial DataQizhong Mao, Mohiuddin Abdul Qader, Vagelis Hristidis. 455-460 [doi]
- BEAD: Batched Evaluation of Iterative Graph Queries with Evolving Analytics DemandsAbbas Mazloumi, Chengshuo Xu, Zhijia Zhao 0001, Rajiv Gupta 0001. 461-468 [doi]
- Translation of Array-Based Loops to Spark SQLMd Hasanuzzaman Noor, Leonidas Fegaras. 469-476 [doi]
- A Shared Memory Cache Layer across Multiple Executors in Apache SparkWei Rang, Donglin Yang, Dazhao Cheng. 477-482 [doi]
- C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data StreamsAlessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfahringer, Albert Bifet, Emanuele Della Valle. 483-492 [doi]
- On the Mining of the Minimal Set of Time Series Data ShapeletsSoukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk. 493-502 [doi]
- ExNav: An Interactive Big Data Exploration Framework for Big Unstructured DataXiaoyu Ge, Xiaozhong Zhang, Panos K. Chrysanthis. 503-512 [doi]
- On Efficiently Processing Business Lineage QueriesHimanshu Gupta, C. Rajmohan, Sameep Mehta, Kiran Pulapa. 513-522 [doi]
- Efficient Record Linkage in Data StreamsDimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios. 523-532 [doi]
- Cost-Aware Influence Maximization in Multi-Attribute NetworksIouliana Litou, Vana Kalogeraki. 533-542 [doi]
- FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive PartitioningJiamin Lu, Cheng Yang, Bingfa Wang, Jun Feng 0001. 543-550 [doi]
- A Regularized Model to Trade-off between Accuracy and Diversity in a News Recommender SystemShaina Raza, Chen Ding 0004. 551-560 [doi]
- An Evaluation of Backpropagation Interpretability for Graph Classification with Deep LearningKenneth Teo Tian Shun, Eko Edita Limanta, Arijit Khan. 561-570 [doi]
- Raptor Zonal Statistics: Fully Distributed Zonal Statistics of Big Raster + Vector DataSamriddhi Singla, Ahmed Eldawy. 571-580 [doi]
- PyHessian: Neural Networks Through the Lens of the HessianZhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney. 581-590 [doi]
- Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News ArticlesAmanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer. 591-596 [doi]
- AutoML for Stream k-Nearest Neighbors ClassificationMaroua Bahri, Bruno Veloso, Albert Bifet, João Gama 0001. 597-602 [doi]
- Self-supervised Hierarchical Graph Neural Network for Graph RepresentationSambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty. 603-608 [doi]
- Massively Parallel Graph Drawing and Representation LearningChristian Böhm, Claudia Plant. 609-616 [doi]
- Inventory Based Recommendation AlgorithmsDu Chen, Yuming Deng, Guangrui Ma, Hao Ge, Yunwei Qi, Ying Rong, Xun Zhang, Huan Zheng. 617-622 [doi]
- Efficient Constrained Subgraph Extraction for Exploratory Discovery in Large Knowledge GraphsSidan Gao, Nodirbek Korchiev, Vodelina Samatova, Kemafor Anyanwu. 623-630 [doi]
- ExFaux: A Weakly Supervised Approach to Explainable Fauxtography DetectionZiyi Kou, Daniel Yue Zhang, Lanyu Shang, Dong Wang. 631-636 [doi]
- StreamTeam-Football: Analyzing Football Matches in Real-Time on the Basis of Position StreamsLukas Probst, Heiko Schuldt, Philipp Seidenschwarz, Martin Rumo. 637-644 [doi]
- Semi-Supervised Learning and Feature Fusion for Multi-view Data ClusteringHadi Salman, Justin Zhan. 645-650 [doi]
- A new heuristic algorithm for fast k-segmentationSabarish Vadarevu, Vijay Karamcheti. 651-658 [doi]
- Practical Range Counting over Data StreamsRan Bai, Ziliang Lai, Eric Lo 0001, Wing-Kai Hon, Pengfei Zhang. 659-668 [doi]
- Hypergraph Attention Isomorphism Network by Learning Line Graph ExpansionSambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty. 669-678 [doi]
- An Unsupervised Misinformation Detection Framework to Analyze the Users using COVID-19 Twitter DataAarzoo Dhiman, Durga Toshniwal. 679-688 [doi]
- VizObj2Vec: Contextual Representation Learning for Visual Objects in Video-framesAhnaf Farhan, Mahmud Shahriar Hossain. 689-698 [doi]
- App-Aware Response Synthesis for User ReviewsUmar Farooq 0002, A. B. Siddique, Fuad T. Jamour, Zhijia Zhao 0001, Vagelis Hristidis. 699-708 [doi]
- A Comprehensive and Adversarial Approach to Self-Supervised Representation LearningYizhan Xu, Sungwon Han 0001, Sungwon Park, Meeyoung Cha, Cheng-Te Li. 709-717 [doi]
- Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep LearningSunWoo Lee, Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao. 718-727 [doi]
- Basket Recommendation with Multi-Intent Translation Graph Neural NetworkZhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu. 728-737 [doi]
- Dynamic Chunkwise CNN for Distantly Supervised Relation ExtractionFangbing Liu, Qing Wang 0002. 738-747 [doi]
- The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 InfodemicNicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir D. Memon. 748-757 [doi]
- Supervised Topic Compositional Neural Language Model for Clinical Narrative UnderstandingXiao Qin 0003, Cao Xiao, Tengfei Ma 0001, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang. 758-767 [doi]
- Analyzing Web Search Behavior for Software Engineering TasksNikitha Rao, Chetan Bansal, Thomas Zimmermann 0001, Ahmed Hassan Awadallah, Nachiappan Nagappan. 768-777 [doi]
- Mapping Network States using Connectivity QueriesAlexander Rodriguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash. 778-787 [doi]
- AML-SVM: Adaptive Multilevel Learning with Support Vector MachinesEhsan Sadrfaridpour, Korey Palmer, Ilya Safro. 788-797 [doi]
- GLIMA: Global and Local Time Series Imputation with Multi-directional Attention LearningQiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang. 798-807 [doi]
- Learning Similarity-Preserving Meta-Embedding for Text MiningJidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner. 808-817 [doi]
- Pattern-enhanced Named Entity Recognition with Distant SupervisionXuan Wang, Yingjun Guan, Yu Zhang, Qi Li, Jiawei Han 0001. 818-827 [doi]
- Textual Evidence Mining via Spherical Heterogeneous Information Network EmbeddingXuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han 0001. 828-837 [doi]
- TI-GCN: A Dynamic Network Embedding Method with Time Interval InformationYali Xiang, Yun Xiong, Yangyong Zhu. 838-847 [doi]
- Ranking on Network of Heterogeneous Information NetworksZhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong. 848-857 [doi]
- Graph Clustering with Embedding PropagationCarl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang 0014, Jiawei Han 0001. 858-867 [doi]
- Unsupervised Multiple Network Alignment with Multinominal GAN and Variational InferenceYang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan 0001. 868-877 [doi]
- Drift-Aware Multi-Memory Model for Imbalanced Data StreamsAmir Abolfazli, Eirini Ntoutsi. 878-885 [doi]
- Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 PandemicAnkita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee. 886-891 [doi]
- Instance Matching in Knowledge Graphs Through Dynamic, Distributed and Affinity-Preserving Random WalkAli Assi 0002, Mohamed Elati, Wajdi Dhifli. 892-897 [doi]
- Temporal Graph Neural Networks for Social RecommendationTing Bai, Youjie Zhang, Bin Wu, Jian-Yun Nie. 898-903 [doi]
- MLANE: Meta-Learning Based Adaptive Network EmbeddingChen Cui, Ning Yang, Philip S. Yu. 904-909 [doi]
- Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestionMinh-Son Dao, Ngoc Thanh Nguyen, R. Uday Kiran, Koji Zettsu. 910-915 [doi]
- Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain GraphTakayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda. 916-923 [doi]
- A Simple, Effective and Extendible Approach to Deep Multi-task LearningYang Gao, Yi-Fan Li, Yu Lin, Hemeng Tao, Latifur Khan. 924-929 [doi]
- TabSim: A Siamese Neural Network for Accurate Estimation of Table SimilarityMaryam Habibi, Johannes Starlinger, Ulf Leser. 930-937 [doi]
- GAMIT: A New Encoder-Decoder Framework with Graphical Space and Multi-grained Time for Traffic PredictionsZhixiang He, Chi-Yin Chow, Jia-Dong Zhang. 938-943 [doi]
- A Hybrid Salient Object Detection with Global Context AwarenessMinglin Hong, Xiaolin Li, Jing Wang, Haiyang He, Shiguo Huang. 944-949 [doi]
- AutoAudit: Mining Accounting and Time-Evolving GraphsMeng-Chieh Lee, Yue Zhao 0016, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos. 950-956 [doi]
- Characterizing and Utilizing the Interplay Between Core and Truss DecompositionsPenghang Liu, Ahmet Erdem Sariyüce. 957-962 [doi]
- MOIRE: Mixed-Order Poisson Regression towards Fine-grained Urban Anomaly Detection at Nationwide ScaleMasamichi Shimosaka, Kota Tsubouchi, Yanru Chen, Yoshiaki Ishihara, Junichi Sato. 963-970 [doi]
- Piaget: A Probabilistic Inference Approach for Geolocating Historical BuildingsSasan Tavakkol, Cyrus Shahabi, Feng Han, Raimondas Kiveris. 971-978 [doi]
- A Hybrid Deep Model for Learning to Rank Data TablesMohamed Trabelsi, ZhiYu Chen, Brian D. Davison 0001, Jeff Heflin. 979-986 [doi]
- Adaptive Community Search in Dynamic NetworksIoanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates. 987-995 [doi]
- Sketch and Scale Geo-distributed tSNE and UMAPViska Wei, Nikita Ivkin, Vladimir Braverman, Alexander S. Szalay. 996-1003 [doi]
- A Proficient Spelling Analysis Method Applied to Herbal and Dietary Supplement Discovery in a Large Clinical CorpusTerri Elizabeth Workman, YiJun Shao, Guy Divita, Qing Zeng-Treitler. 1004-1010 [doi]
- Stochastic Adaptive Line Search for Differentially Private OptimizationChen Chen, Jaewoo Lee. 1011-1020 [doi]
- Automating Domain Squatting Detection Using Representation LearningPablo Loyola, Kugamoorthy Gajananan, Hirokuni Kitahara, Yuji Watanabe, Fumiko Satoh. 1021-1030 [doi]
- Towards an Open Format for Scalable System TelemetryTeryl Taylor, Frederico Araujo, Xiaokui Shu. 1031-1040 [doi]
- A Study of Self-Privacy Violations in Online Public DiscoursePrasanna Umar, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer. 1041-1050 [doi]
- FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification ModelsDaniel Yue Zhang, Ziyi Kou, Dong Wang. 1051-1060 [doi]
- Broadening Differential Privacy for Deep Learning Against Model Inversion AttacksQiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou 0001, Li Xiong 0001. 1061-1070 [doi]
- Privacy-Aware Federated Learning for Page RecommendationShuai Zhao, Roshani Bharati, Cristian Borcea, Yi Chen 0001. 1071-1080 [doi]
- UnMask: Adversarial Detection and Defense Through Robust Feature AlignmentScott Freitas, Shang-Tse Chen, Zijie J. Wang, Duen Horng Chau. 1081-1088 [doi]
- MBead: Semi-supervised Multilabel Behaviour Anomaly Detection on Multivariate Temporal Sensory DataSuwen Lin, Louis Faust, Sidney D'Mello, Gonzalo J. Martínez, Nitesh V. Chawla. 1089-1096 [doi]
- Gaussian Function On Response Surface EstimationMohammadhossein Toutiaee, John A. Miller. 1097-1102 [doi]
- Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy LabelsQiuchen Zhang, Jing Ma, Jian Lou 0001, Li Xiong 0001, Xiaoqian Jiang. 1103-1110 [doi]
- Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computingHaruki Imai, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya. 1111-1116 [doi]
- Identifying FinTech Innovations Using BERTDoina Caragea, Mark Chen, Theodor Cojoianu, Mihai Dobri, Kyle Glandt, George Mihaila. 1117-1126 [doi]
- Learn to Earn: Enabling Coordination Within a Ride-Hailing FleetHarshal A. Chaudhari, John W. Byers, Evimaria Terzi. 1127-1136 [doi]
- BELT: A Pipeline for Stock Price Prediction Using NewsYingzhe Dong, Da Yan 0001, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang 0001, Yang Zhou. 1137-1146 [doi]
- Structure Prediction from Neutron Scattering Profiles: A Data Sciences ApproachCristina Garcia-Cardona, Ramakrishnan Kannan, Travis Johnston, Thomas Proffen, Sudip K. Seal. 1147-1155 [doi]
- Skill-based Career Path Modeling and RecommendationAritra Ghosh 0001, Beverly Park Woolf, Shlomo Zilberstein, Andrew S. Lan. 1156-1165 [doi]
- Distributed de novo assembler for large-scale long-read datasetsSayan Goswami, Kisung Lee, Seung-Jong Park. 1166-1175 [doi]
- Automated Machine Learning for the Classification of Normal and Abnormal Electromyography DataMarios Kefalas, Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck. 1176-1185 [doi]
- Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task LearningBin Liu, Ying Li, Kenney Ng. 1186-1195 [doi]
- Heterogeneous Similarity Graph Neural Network on Electronic Health RecordsZheng Liu, Xiaohan Li, Hao Peng, Lifang He 0001, Philip S. Yu. 1196-1205 [doi]
- EPIC30M: An Epidemics Corpus of Over 30 Million Relevant TweetsJunhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim 0001. 1206-1215 [doi]
- Generating Realistic COVID-19 x-rays with a Mean Teacher + Transfer Learning GANSumeet Menon, Joshua Galita, David Chapman, Aryya Gangopadhyay, Jayalakshmi Mangalagiri, Phuong Nguyen, Yaacov Yesha, Yelena Yesha, Babak Saboury, Michael Morris. 1216-1225 [doi]
- Creating Realistic Power Distribution Networks using Interdependent Road InfrastructureRounak Meyur, Madhav Marathe, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Virgilio Centeno, Arun G. Phadke. 1226-1235 [doi]
- Anomaly Detection in Edge Nodes using Sparsity ProfileAekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son 0001, Yun-Jeong Song. 1236-1245 [doi]
- MuLan: Multilevel Language-based Representation Learning for Disease Progression ModelingHyunwoo Sohn, Kyungjin Park, Min Chi. 1246-1255 [doi]
- Crash prediction for a French highway network with an XAI-informed Bayesian hierarchical modelThomas Veran, Pierre-Edouard Portier, François Fouquet. 1256-1265 [doi]
- Sequence Matching with Discriminative Binary Features for Robust and Fast Light-Rail Localization at High Frame RateTingxian Wang, Kebin Jia, Meng Yao. 1266-1272 [doi]
- Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share ServicesYuan Wang, Chenwei Wang 0001, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang. 1273-1282 [doi]
- Valuing Player Actions in Counter-Strike: Global OffensivePeter Xenopoulos, Harish Doraiswamy, Cláudio T. Silva. 1283-1292 [doi]
- Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing DataVincent Dumont, Verónica Rodríguez Tribaldos, Jonathan Ajo-Franklin, Kesheng Wu. 1293-1300 [doi]
- Knowledge- and Data-driven Services for Energy Systems using Graph Neural NetworksFrancesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi. 1301-1308 [doi]
- Analysis of Human Trafficking in North Carolina Based on Criminal Records: A Framework to Measure Human Trafficking TrendsShafie Gholizadehy, Matthew Phillipsy, Maryam Tavakoli Hosseinabadi, Daisy Leon, James Rozier. 1309-1315 [doi]
- SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable SensingMadhuri Ghorpade, Haiquan Chen, Yuhong Liu, Zhe Jiang 0001. 1316-1321 [doi]
- Knowledge Graph Enhanced Event Extraction in Financial DocumentsKaihao Guo, Tianpei Jiang, Haipeng Zhang. 1322-1329 [doi]
- Deep Domain Adaptation based Cloud Type Detection using Active and Passive Satellite DataXin Huang, Sahara Ali, Chenxi Wang, Zeyu Ning, Sanjay Purushotham, Jianwu Wang, Zhibo Zhang. 1330-1337 [doi]
- A Simulation-based Approach for Large-scale Evacuation PlanningKazi Ashik Islam, Madhav Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti. 1338-1345 [doi]
- Graph Neural Network Architecture Search for Molecular Property PredictionShengli Jiang, Prasanna Balaprakash. 1346-1353 [doi]
- Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of ImagesJaehoon Koo, Diego Klabjan, Jean Utke. 1354-1361 [doi]
- Machine-learning-based People-flow Simulation for Facility Layout PlanningSatoshi Kuwamoto, Yu Kitano, Akinori Asahara. 1362-1367 [doi]
- Segmentation and Recognition of Eating Gestures from Wrist Motion using Deep LearningYadnyesh Y. Luktuke, Adam W. Hoover. 1368-1373 [doi]
- r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased FrameworkMohammad Masum, Hossain Shahriar, Hisham M. Haddad, Md. Shafiul Alam. 1374-1379 [doi]
- From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 SurveillanceAkhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav Marathe. 1380-1387 [doi]
- Patient ADE Risk Prediction through Hierarchical Time-Aware Neural Network Using Claim CodesJinhe Shi, Xiangyu Gao, Chenyu Ha, Yage Wang, Guodong (Gordon) Gao, Yi Chen 0001. 1388-1393 [doi]
- ThanosNet: A Novel Trash Classification Method Using MetadataAlan Sun, Harry Xiao. 1394-1401 [doi]
- Real-time Karaoke Recommendations : Session-based Multi-Task Recommendations with Multivariate RNNsShigeki Tanaka, Ryoki Wakamoto, Yusuke Fukazawa. 1402-1409 [doi]
- T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion DetectionYiyang Wang, Qinghua Zheng, Jianfei Ruan, Yuda Gao, Yan Chen, Xuanya Li, Bo Dong. 1410-1415 [doi]
- Structured Dictionary Learning with Block Diagonal Regularization for Image ClassificationManman Xu, Runhua Jiang, Tao Wang 0052, Di Wang 0008, Xiaoju Lu. 1416-1423 [doi]
- Identifying Failing Point Machines from Sensor-Free Train System LogsYing Yang, Xin Lou, Binbin Chen, Marianne Winslett, Zbigniew Kalbarczyk. 1424-1429 [doi]
- Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain NetworksHang Yin, Xinyue Liu, Xiangnan Kong. 1430-1435 [doi]
- Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement LearningChi Zhang, Philip Odonkor, Shuai Zheng, Hamed Khorasgani, Susumu Serita, Chetan Gupta 0001, Haiyan Wang. 1436-1441 [doi]
- MASTGN: Multi-Attention Spatio-Temporal Graph Networks for Air Pollution PredictionPeijiang Zhao, Koji Zettsu. 1442-1448 [doi]
- MLAS: Metric Learning on Attributed SequencesZhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Jihane Zouaoui, Aditya Arora. 1449-1454 [doi]
- EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming EventsStefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas. 1455-1464 [doi]
- Building an Automated and Self-Aware Anomaly Detection SystemSayan Chakraborty, Smit Shah 0003, Kiumars Soltani, Anna Swigart, Luyao Yang, Kyle Buckingham. 1465-1475 [doi]
- Deep Neural Query Understanding System at Expedia GroupRamji Chandrasekaran, Harsh Nilesh Pathak, Tae Yano. 1476-1484 [doi]
- CNN Application in Detection of Privileged Documents in Legal Document ReviewRishi Chhatwal, Robert Keeling, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao. 1485-1492 [doi]
- FDC Cache: Semantics-driven Federated Caching and Querying for Big DataPaul Cuddihy, Jenny Weisenberg Williams, Vijay S. Kumar, Kareem S. Aggour, Andrew Crapo, Sharad Dixit. 1493-1502 [doi]
- 2D-ATT: Causal Inference for Mobile Game Organic Installs with 2-Dimensional Attentional Neural NetworkBoxiang Dong, Hui Bill Li, Yang Ryan Wang, Rami Safadi. 1503-1512 [doi]
- Effective Detection of Rare Anomalies from Massive Waveform Data Using Heterogeneous ClusteringMasaharu Goto, Kiyoshi Chikamatsu, Naoki Kobayashi, Gang Ren, Mitsunori Ogihara. 1513-1522 [doi]
- The Danish National Energy Data Lake: Requirements, Technical Architecture, and Tool SelectionHamdi Ben Hamadou, Torben Bach Pedersen, Christian Thomsen 0001. 1523-1532 [doi]
- Statistical Reasoning of Zero-Inflated Right-Skewed User-Generated Big Data A/B TestingHao Jiang, Fan Yang, Wutao Wei. 1533-1544 [doi]
- Location YardStick: Calculation of the Location Data Value Depending on the Users' ContextKenta Kanamori, Kota Tsubouchi, Junichi Sato, Tatsuru Higurashi. 1545-1554 [doi]
- Methodology for Interpretable Reinforcement Learning Model for HVAC Energy ControlOlivera Kotevska, Jeffrey Munk, Kuldeep Kurte, Yan Du, Kadir Amasyali, Robert W. Smith 0004, Helia Zandi. 1555-1564 [doi]
- The Missing Input ProblemEmil Laftchiev, Qing Yan, Daniel Nikovski. 1565-1573 [doi]
- Empirical Evaluation of Federated Learning with Local Privacy for Real-World ApplicationPaul Luo Li, Xiaoyu Chai, W. Duncan Wadsworth, Jilong Liao, Brandon Paddock. 1574-1583 [doi]
- Ultron-AutoML: an open-source, distributed, scalable framework for efficient hyper-parameter optimizationSwarnim Narayan, Chepuri Shri Krishna, Varun Mishra, Abhinav Rai, Himanshu Rai, Chandrakant Bharti, Gursirat Singh Sodhi, Ashish Gupta, Nitinbalaji Singh. 1584-1593 [doi]
- Temporal Tensor Transformation Network for Multivariate Time Series PredictionYuya Jeremy Ong, Mu Qiao, Divyesh Jadav. 1594-1603 [doi]
- Smart-ML: A System for Machine Learning Model Exploration using Pipeline GraphDhaval Patel, Shrey Shrivastava, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam, Chandra Reddy. 1604-1613 [doi]
- Doctor for Machines: A Failure Pattern Analysis Solution for Industry 4.0Dhaval Patel, Nianjun Zhou, Shrey Shrivastava, Jayant Kalagnanam. 1614-1623 [doi]
- FLOps: On Learning Important Time Series Features for Real-Valued PredictionDhaval Patel, Syed Yousaf Shah, Nianjun Zhou, Shrey Shrivastava, Arun Iyengar, Anuradha Bhamidipaty, Jayant Kalagnanam. 1624-1633 [doi]
- CANON: Complex Analytics of Network of Networks for Modeling Adversarial ActivitiesShane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, JieJun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong. 1634-1643 [doi]
- DQLearn : A Toolkit for Structured Data Quality LearningShrey Shrivastava, Dhaval Patel, Nianjun Zhou, Arun Iyengar, Anuradha Bhamidipaty. 1644-1653 [doi]
- Dynamic Creative Optimization in Verizon Media Native AdvertisingYair Koren, Oren Somekh, Avi Shahar, Anna Itzhaki, Tal Cohen, Milena Krasteva, Tomer Shadi. 1654-1662 [doi]
- Deep Anomaly Detection with Ensemble-Based Active LearningXuning Tang, Yihua Shi Astle, Craig Freeman. 1663-1670 [doi]
- Intervention Recommendation for Improving Disability EmploymentHa Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters. 1671-1680 [doi]
- Search Wandering Score: Predicting Timings of Online Shopping based on Wandering in User's Web Search QueriesKota Tsubouchi, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa. 1681-1688 [doi]
- An End-to-End Context Aware Anomaly Detection SystemBhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty, Gregory Mckim, Biren Gandhi. 1689-1698 [doi]
- SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying DetectionJason Wang, Kaiqun Fu, Chang-Tien Lu. 1699-1708 [doi]
- Estimating Risk-Adjusted Hospital PerformanceEva van Weenen, Stefan Feuerriegel. 1709-1719 [doi]
- Privacy-Friendly ID-Free Digital Ad Targeting using URL EmbeddingsAmelia White, Chris Jenness, Jason Kaufman, Roger Cost, Wickus Martin, Justin Moynihan, Patrick McCarthy, Melinda Han Williams. 1720-1725 [doi]
- Conception of a Reference Architecture for Machine Learning in the Process IndustryRené Wöstmann, Philipp Schlunder, Fabian Temme, Ralf Klinkenberg, Josef Kimberger, Andrea Spichtinger, Markus Goldhacker, Jochen Deuse. 1726-1735 [doi]
- Merchant Category Identification Using Credit Card TransactionsChin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, JunPeng Wang, Wei Zhang. 1736-1744 [doi]
- Image Segmentation for Dust Detection Using Semi-supervised Machine LearningManzhu Yu, Julie Bessac, Ling Xu, Aryya Gangopadhyay, Yingxi Rona Shi, Jianwu Wang. 1745-1754 [doi]
- PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial DataWang Zhou, Levente J. Klein, Siyuan Lu. 1755-1763 [doi]
- A Verifiable Imputation Analysis for Univariate Time Series and Enabling PackageNianjun Zhou, Dhaval Patel, Arun Iyengar, Shrey Shrivastava, Anuradha Bhamidipaty. 1764-1773 [doi]
- Complementary Recommendations Using Deep Multi-modal Embeddings For Online RetailUnaiza Ahsan, Xiquan Cui, Rebecca West, Mingming Guo, San He Wu, Khalifeh Al Jadda. 1774-1779 [doi]
- V-WorkGen: Virtual Workload Generation Tool for Connected Automotive ServicesYin-Chen Liu, BaekGyu Kim. 1780-1783 [doi]
- Automotive Big Data Pipeline: Disaggregated Hyper-Converged Infrastructure vs Hyper-Converged InfrastructureChianing Johnny Wang, BaekGyu Kim. 1784-1787 [doi]
- Does Sophisticating Double Arbiter PUF Design Ensure its Security? Performance and Security Assessments on 5-1 DAPUFMeznah A. Alamro, Khalid T. Mursi, Yu Zhuang, Mohammed Saeed Alkatheiri, Ahmad O. Aseeri. 1788-1795 [doi]
- Firearm Detection via Convolutional Neural Networks: Comparing a Semantic Segmentation Model Against End-to-End SolutionsAlexander Egiazarov, Fabio Massimo Zennaro, Vasileios Mavroeidis. 1796-1804 [doi]
- The Applicability of Authorship Verification to Swedish Discussion ForumsLukas Lundmark, Fredrik Johansson, Björn Pelzer, Lisa Kaati, Johan Fernquist. 1805-1812 [doi]
- Towards Fighting Cybercrime: Malicious URL Attack Type Detection using Multiclass ClassificationTariro Manyumwa, Phillip Francis Chapita, Hanlu Wu, Shouling Ji. 1813-1822 [doi]
- Cyber Threat Hunting Through Automated Hypothesis and Multi-Criteria Decision MakingAntonio José Horta Neto, Anderson Fernandes Pereira dos Santos. 1823-1830 [doi]
- An Approach to Combining Medical Device Fault Analysis with Trusted Computing ForensicsIan Oliver. 1831-1837 [doi]
- Assessment of Data Augmentation Techniques for Firearm Detection in Surveillance VideosJacob Rose, Thirimachos Bourlai, James A. Loudermilk. 1838-1846 [doi]
- CTI ANT: Hunting for Chinese Threat IntelligenceChia-En Tsai, Cheng-Lin Yang, Chong Kuan Chen. 1847-1852 [doi]
- Curation of Historical Arabic Handwritten Digit Datasets from Ottoman Population Registers: A Deep Transfer Learning Case StudyYekta Said Can, M. Erdem Kabadayi. 1853-1860 [doi]
- Elevating "Everyday" Voices and People in Archives through the Application of Graph Database TechnologyMark Conrad, Lyneise Williams. 1861-1865 [doi]
- Multi-label Classification of Chinese Judicial Documents based on BERTMian Dai, Chao-Lin Liu. 1866-1867 [doi]
- Modeling Updates of Scholarly Webpages Using Archived DataYasith Jayawardana, Alexander C. Nwala, Gavindya Jayawardena, Jian Wu 0006, Sampath Jayarathna, Michael L. Nelson, C. Lee Giles. 1868-1877 [doi]
- A Computational Approach to Historical OntologiesMat Kelly, Jane Greenberg, Christopher B. Rauch, Sam Grabus, Joan P. Boone, John A. Kunze, Peter Melville Logan. 1878-1883 [doi]
- From Computational De-Morphogenesis to Contaminated Representation for the Contemporary Digital Tectonics and Lexicon : Vulnerability and Resilience of the Generative Representation in the Web-Oriented Platform - BIM/GDAlessandro de Masi. 1884-1893 [doi]
- Computational Treatments to Recover Erased Heritage: A Legacy of Slavery Case Study (CT-LoS)Lori A. Perine, Rajesh Kumar Gnanasekaran, Phillip Nicholas, Alexis Hill, Richard Marciano. 1894-1903 [doi]
- Digital Curation and Machine Learning Experimentation in ArchivesTeddy Randby, Richard Marciano. 1904-1913 [doi]
- Towards Automatic Data Cleansing and Classification of Valid Historical Data An Incremental Approach Based on MDDEnda O'Shea, Rafflesia Khan, Ciara Breathnach, Tiziana Margaria. 1914-1923 [doi]
- HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical DocumentsChia-Wei Tang, Chao-Lin Liu, Po-Sen Chiu. 1924-1930 [doi]
- Automatic Extraction of Dublin Core Metadata from Presidential E-recordsWilliam Underwood. 1931-1938 [doi]
- A Study of Spoken Audio Processing using Machine Learning for Libraries, Archives and Museums (LAM)Weijia Xu, Maria Esteva, Peter Cui, Eugene Castillo, Kewen Wang, Hanna Robbins Hopkins, Tanya Clement, Aaron Choate, Ruizhu Huang. 1939-1948 [doi]
- Using a Three-step Social Media Similarity (TSMS) Mapping Method to Analyze Controversial Speech Relating to COVID-19 in Twitter CollectionsZhanyuan Yin, Lizhou Fan, Huizi Yu, Anne J. Gilliland. 1949-1953 [doi]
- Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the CloudQi Kang, Ji Liu 0003, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li 0002, Zhi-feng, Licheng Wang, Dejing Dou. 1954-1963 [doi]
- Operator as a Service: Stateful Serverless Complex Event ProcessingManisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe. 1964-1973 [doi]
- EvoBench - A Framework for Benchmarking Schema Evolution in NoSQLMark Lukas Möller, Meike Klettke, Uta Störl. 1974-1984 [doi]
- Approximate Distance-based Anomaly Detection at Massive ScaleSivam Pasupathipillai, Emanuele Della Valle. 1985-1991 [doi]
- Building and Evaluation of Cloud Storage and Datasets Services on AI and HPC Converged InfrastructureYusuke Tanimura, Shin'ichiro Takizawa, Hirotaka Ogawa, Takahiro Hamanishi. 1992-2001 [doi]
- Bridging BAD Islands: Declarative Data Sharing at ScaleXikui Wang, Michael J. Carey 0001, Vassilis J. Tsotras. 2002-2011 [doi]
- Requirements Engineering Practices and Challenges in the Context of Big Data Software Development Projects: Early Insights from a Case StudyDarlan Arruda, Rodrigo Laigner. 2012-2019 [doi]
- Adopting Agile Software Development Methodologies in Big Data Projects - a Systematic Literature Review of Experience ReportsIva Krasteva, Sylvia Ilieva. 2028-2033 [doi]
- Recommended Methods for Using the 2020 NIST Principles for AI ExplainabilityMary Quinn, Blake Piper, James P. Bliss, David Keever. 2034-2037 [doi]
- Identifying the most Common Frameworks Data Science Teams Use to Structure and Coordinate their ProjectsJeffrey S. Saltz, Nicholas Hotz. 2038-2042 [doi]
- Maintaining NoSQL Database Quality During Conceptual Model EvolutionPablo Suárez-Otero, Michael J. Mior, María José Suárez Cabal, Javier Tuya. 2043-2048 [doi]
- On the Large-scale Graph Data Processing for User Interface Testing in Big Data Science ProjectsYasin Uygun, Ramazan Faruk Oguz, Erdi Olmezogullari, Mehmet S. Aktas. 2049-2056 [doi]
- Predicting Emotions Perceived from SoundsFaranak Abri, Luis Felipe Gutiérrez, Akbar Siami Namin, David R. W. Sears, Keith S. Jones. 2057-2064 [doi]
- A Sensitivity Analysis of Evolutionary Algorithms in Generating Secure ConfigurationsShuvalaxmi Dass, Akbar Siami Namin. 2065-2072 [doi]
- Predicting Consequences of Cyber-AttacksPrerit Datta, Natalie Lodinger, Akbar Siami Namin, Keith S. Jones. 2073-2078 [doi]
- A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 PandemicLuis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin. 2079-2086 [doi]
- Email Embeddings for Phishing DetectionLuis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones. 2087-2092 [doi]
- AI Legal Counsel to train and regulate legally constrained Autonomous systemsHal Ashton. 2093-2098 [doi]
- An Architecture for Extracting Key Elements from Legal PermitsAnna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou. 2105-2110 [doi]
- Preventing litigation with a predictive model of COVID-19 ICUs occupancyChiara Gallese, Elena Falletti, Marco S. Nobile, Lucrezia Ferrario, Fabrizio Schettini, Emanuela Foglia. 2111-2116 [doi]
- LegalOps: A Summarization Corpus of Legal OpinionsAndrew Gargett, Rob Firth, Nikolaos Aletras. 2117-2120 [doi]
- Responsible AI: A Primer for the Legal CommunityIlana Golbin, Anand S. Rao, Ali Hadjarian, Daniel Krittman. 2121-2126 [doi]
- Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from ImagesChristian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye. 2127-2130 [doi]
- A bibliometric network analysis of Deep Learning publications applied into legal documentsAlfredo Montelongo, João Luiz Becker. 2131-2138 [doi]
- Customizing Contextualized Language Models for Legal Document ReviewsShohreh Shaghaghian, Luna Yue Feng, Borna Jafarpour, Nicolai Pogrebnyakov. 2139-2148 [doi]
- Clustering-based Automatic Construction of Legal Entity Knowledge Base from ContractsFuqi Song, Éric de la Clergerie. 2149-2152 [doi]
- SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge GraphMingwei Tang, Cui Su, Haihua Chen, Jingye Qu, Junhua Ding. 2153-2159 [doi]
- AI in the Law: Towards Assessing Ethical RisksSteven A. Wright 0002. 2160-2169 [doi]
- Streaming Time Series Forecasting using Multi-Target Regression with Dynamic Ensemble SelectionDihia Boulegane, Albert Bifet, Haytham Elghazel, Giyyarpuram Madhusudan. 2170-2179 [doi]
- HerdMonitor: Monitoring Live Migrating Containers in Cloud EnvironmentsAlejandro E. González, Emmanuel Arzuaga. 2180-2189 [doi]
- Extending Kafka Streams for Complex Event RecognitionSamuele Langhi, Riccardo Tommasini 0001, Emanuele Della Valle. 2190-2197 [doi]
- Flexible Executor Allocation without Latency Increase for Stream Processing in Apache SparkYuta Morisawa, Masaki Suzuki, Takeshi Kitahara. 2198-2206 [doi]
- Smart Resource Management for Data Streaming using an Online Bin-packing StrategyOliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor. 2207-2216 [doi]
- Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time SeriesKevin Styp-Rekowski, Florian Schmidt 0006, Odej Kao. 2217-2222 [doi]
- Monitoring Networks with Queries Evaluated by Edge ComputingQuangtri Thai, Carlos Ordonez 0001, Omprakash Gnawali. 2223-2231 [doi]
- Exploring Open Source Information for Cyber Threat IntelligenceVictor Adewopo, Bilal Gonen, Festus Adewopo. 2232-2241 [doi]
- Detection of Previously Unseen Malware using Memory Access Patterns Recorded Before the Entry PointSergii Banin, Geir Olav Dyrkolbotn. 2242-2253 [doi]
- Real-Time Detection of Fake-Shops through Machine LearningLouise Beltzung, Andrew Lindley, Olivia Dinica, Nadin Hermann, Raphaela Lindner. 2254-2263 [doi]
- Towards verifiable evidence generation in forensic-ready systemsLukas Daubner, Martin Macak, Barbora Buhnova, Tomás Pitner. 2264-2269 [doi]
- National Security Intelligence through Social Network Data MiningNnaemeka Ekwunife. 2270-2273 [doi]
- Financial Fraud Detection using Deep Support Vector Data DescriptionMasoud Erfani, Farzaneh Shoeleh, Ali A. Ghorbani 0001. 2274-2282 [doi]
- Smart Home Forensics: An Exploratory Study on Smart Plug Forensic AnalysisAsif Iqbal, Johannes Olegård, Ranjana Ghimire, Shirin Jamshir, Andrii Shalaginov. 2283-2290 [doi]
- Toward Never-Ending Learner for Malware Analysis (NELMA)Moumita Kamal, Douglas A. Talbert. 2291-2298 [doi]
- CTI-Twitter: Gathering Cyber Threat Intelligence from Twitter using Integrated Supervised and Unsupervised LearningLinn-Mari Kristiansen, Vinti Agarwal, Katrin Franke, Raj Sanjay Shah. 2299-2308 [doi]
- Intensive Image Malware Analysis and Least Significant Bit Matching SteganalysisYogesh Kulkarni, Anurag Gorkar. 2309-2317 [doi]
- Centrality and Scalability Analysis on Distributed Graph of Large-Scale E-mail Dataset for Digital ForensicsSelim Ozcan, Merve Astekin, Narasimha K. Shashidhar, Bing Zhou. 2318-2327 [doi]
- Modern Cybercrime Investigation: Technological Advancement of Smart Devices and Legal Aspects of Corresponding Digital TransformationAndrii Shalaginov, Marina Shalaginova, Aleksandar Jevremovic, Marko Krstic. 2328-2332 [doi]
- Machine Learning Methods for Anomaly Detection in Industrial Control SystemsJohnathan Tai, Izzat Alsmadi, Yunpeng Zhang, Fengxiang Qiao. 2333-2339 [doi]
- YieldPredict: A Crop Yield Prediction Framework for Smart FarmsNitu Kedarmal Choudhary, Sai Sree Laya Chukkapalli, Sudip Mittal, Maanak Gupta, Mahmoud Abdelsalam, Anupam Joshi. 2340-2349 [doi]
- A Game Theoretic Analysis for Cooperative Smart FarmingDeepti Gupta, Paras Bhatt, Smriti Bhatt. 2350-2359 [doi]
- Development of A Wireless Power Transmission System for Agriculture Sensor DevicesCharles A. Robinson, Brandon T. Nieman, Robert Craven, Muhammad Enagi Bima, C. W. Van Neste. 2360-2364 [doi]
- An exploratory analysis on Agritech policies, innovations and funding for climate change mitigationPedro V. Hernandez Serrano, Lina Altenburg, Parveen Kumar. 2365-2370 [doi]
- Automated Corn Ear Height Prediction Using Video-Based Deep LearningJohnson Wong, Hao Sha, Mohammad Al Hasan, George O. Mohler, Steve Becker, Curtis Wiltse. 2371-2374 [doi]
- Automating Tiny ML Intelligent Sensors DevOPS Using Microsoft AzureChandrasekar Vuppalapati, Anitha Ilapakurti, Karthik Chillara, Sharat Kedari, Vanaja Mamidi. 2375-2384 [doi]
- Blockchain Application in Remote Condition MonitoringRahma A. Alzahrani, Simon J. Herko, John M. Easton. 2385-2394 [doi]
- High Beam Detection Method Based on Deep LearningHang Gong, Pei-shun Liu. 2395-2400 [doi]
- A Quantum Bayesian Approach for Bike Sharing Demand PredictionRamkumar Harikrishnakumar, Sima Esfandiarpour Borujeni, Alok Dand, Saideep Nannapaneni. 2401-2409 [doi]
- From Spatial-Temporal Cluster Relationships to Lifecycles: Framework and Mobility ApplicationsIvens Portugal, Paulo S. C. Alencar, Donald D. Cowan. 2410-2415 [doi]
- SELIS BDA: Big Data Analytics for the Logistics DomainNikodimos Provatas, Evdokia Kassela, Nikolaos Chalvantzis, Anastasios Bakogiannis, Ioannis Giannakopoulos, Nectarios Koziris, Ioannis Konstantinou. 2416-2425 [doi]
- Towards Modular Modeling and Analytic for Multi-Modal Transportation NetworksRamyar Saeedi, Malarvizhi Sankaranarayanasamy, Rahul Vishwakarma, Prasun Singh, Ravigopal Vennelakanti. 2426-2432 [doi]
- Metadata-Driven Industrial-Grade ETL SystemAlexander Suleykin, Peter Panfilov. 2433-2442 [doi]
- The Impact of COVID-19 on Flight NetworksToyotaro Suzumura, Hiroki Kanezashi, Mishal Dholakia, Euma Ishii, Sergio Álvarez-Napagao, Raquel Pérez-Arnal, Dario Garcia-Gasulla. 2443-2452 [doi]
- An Attacks Detection Mechanism for Intelligent Transport SystemEdivaldo Pastori Valentini, Rodolfo Ipolito Meneguette, Adil Alsuhaim. 2453-2461 [doi]
- Algorithm-centered Approach to Improve Track Performance Monitoring with Rail Profile DataJared Vanderwees, Ahmed Lasisi, Jonathan Regehr. 2462-2471 [doi]
- Increasing Prediction Accuracy for Human Activity Recognition Using Optimized HyperparametersNiyati R. Darji, Samuel A. Ajila. 2472-2481 [doi]
- Energy-Efficient Energy Analytics Using a General Purpose Graphics Processing UnitSagnik De, Wojciech M. Golab. 2482-2491 [doi]
- Towards Green Query Processing - Auditing Power Before DeployingSimon Pierre Dembele, Ladjel Bellatreche, Carlos Ordonez 0001. 2492-2501 [doi]
- SWVBiL-CRF: Selectable Word Vectors-based BiLSTM-CRF Power Defect Text Named Entity RecognitionJianbin Li, Suwan Fang, Yuqi Ren, Kunchang Li, Mingyu Sun. 2502-2507 [doi]
- Who killed Lilly Kane? A case study in applying knowledge graphs to crime fictionMariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham. 2508-2512 [doi]
- Evaluation of Alignment: Precision, Recall, Weighting and LimitationsJoseph A. Cottam, Natalie C. Heller, Christopher L. Ebsch, Rahul Deshmukh, Patrick Mackey, George Chin. 2513-2519 [doi]
- Using Graph Edit Distance for Noisy Subgraph Matching of Semantic Property GraphsChristopher L. Ebsch, Joseph A. Cottam, Natalie C. Heller, Rahul D. Deshmukh, George Chin. 2520-2525 [doi]
- Robust and Scalable Entity Alignment in Big DataJames Flamino, Christopher Abriola, Benjamin Zimmerman, Zhongheng Li, Joel Douglas. 2526-2533 [doi]
- Data-Driven Template Discovery Using Graph Convolutional Neural NetworksMikel Joaristi, Sumit Purohit, Rahul Deshmukh, George Chin. 2534-2538 [doi]
- Semantic Guided Filtering Strategy for Best-effort Subgraph Matching in Knowledge GraphsAlexei Kopylov, JieJun Xu, Kang-Yu Ni, Shane Roach, Tsai-Ching Lu. 2539-2545 [doi]
- Multi-Channel Entity Alignment via Name Uniqueness EstimationMiquette Orren, Patrick Mackey, Natalie Heller, George Chin. 2546-2552 [doi]
- Graph Adversarial Attacks and Defense: An Empirical Study on Citation GraphChau Pham, Vung Pham, Tommy Dang. 2553-2562 [doi]
- Static and Dynamic Social Network Models for the Analysis of Transshipment in Illegal FishingStefano Z. Stamato, Andrew J. Park. 2563-2568 [doi]
- Fault-tolerant Subgraph Matching on Aligned NetworksThomas Tu, Dominic Yang. 2569-2574 [doi]
- Inexact Attributed Subgraph MatchingThomas K. Tu, Jacob D. Moorman, Dominic Yang, Qinyi Chen, Andrea L. Bertozzi. 2575-2582 [doi]
- Dynamic Load Balance for Hot-spot and Unbalance Region Problems in HBaseYibo Chen, Xing Xiang, Xiao Ling, Xiangchi Zhang, Fan Wu, Jianliang Gao. 2583-2589 [doi]
- A Dynamic Sharding Protocol Design for Consortium BlockchainsZhixuan Zhou, Zhijie Qiu, Qiang Yu, Hong Chen. 2590-2595 [doi]
- A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for CybersecuritySoham Dasgupta, Aritran Piplai, Anantaa Kotal, Anupam Joshi. 2596-2604 [doi]
- Identifying Influences to Information Security Framework Adoption: Applying a Modified UTAUTWilliam W. Lidster, Shawon S. M. Rahman. 2605-2609 [doi]
- BEAM: An Anomaly-Based Threat Detection System for Enterprise Multi-Domain DataDerek Lin, Anying Li, Ryan Foltz. 2610-2618 [doi]
- An Approach to Developing EEG-Based Person Authentication SystemMeetkumar J. Patel, Mohammad I Husain. 2619-2625 [doi]
- Using Knowledge Graphs and Reinforcement Learning for Malware AnalysisAritran Piplai, Priyanka Ranade, Anantaa Kotal, Sudip Mittal, Sandeep Nair Narayanan, Anupam Joshi. 2626-2633 [doi]
- Data Science, COVID-19 Pandemic, Privacy and Civil LibertiesBhavani Thuraisingham. 2634-2638 [doi]
- Accelerating Text Mining Using Domain-Specific Stop Word ListsFarah Alshanik, Amy W. Apon, Alexander Herzog, Ilya Safro, Justin Sybrandt. 2639-2648 [doi]
- A middle-ware approach to leverage the distributed data de-duplication capability on HPC and Cloud storage systemsHsing-bung Chen, Sihai Tang, Song Fu. 2649-2653 [doi]
- Combining Spatial and Temporal Properties for Improvements in Data ReductionMegan Hickman Fulp, Ayan Biswas, Jon C. Calhoun. 2654-2663 [doi]
- Interpretable Visualization and Higher-Order Dimension Reduction for ECoG DataKelly Geyer, Frederick Campbell, Andersen Chang, John F. Magnotti, Michael Beauchamp, Genevera I. Allen. 2664-2673 [doi]
- Efficient Data Management in Neutron Scattering Data Reduction Workflows at ORNLWilliam F. Godoy, Peter F. Peterson, Steven E. Hahn, Jay Jay Billings. 2674-2680 [doi]
- Topology Preserving Data Reduction for Computing Persistent HomologyNicholas O. Malott, Aaron M. Sens, Philip A. Wilsey. 2681-2690 [doi]
- A Fast, Scalable, Universal Approach For Distributed Data AggregationsNiranda Perera, Vibhatha Abeykoon, Chathura Widanage, Supun Kamburugamuve, Thejaka Amila Kanewala, Pulasthi Wickramasinghe, Ahmet Uyar, Hasara Maithree, Damitha Lenadora, Geoffrey C. Fox. 2691-2698 [doi]
- Assessing Differences in Large Spatio-temporal Climate Datasets with a New Python packageAlexander Pinard, Dorit M. Hammerling, Allison H. Baker. 2699-2707 [doi]
- LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC ProgramsBaodi Shan, Aabid Shamji, Jiannan Tian, Guanpeng Li, Dingwen Tao. 2708-2715 [doi]
- SDRBench: Scientific Data Reduction Benchmark for Lossy CompressorsKai Zhao, Sheng Di, Xin Liang 0001, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello. 2716-2724 [doi]
- Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural NetworksJohn Brennan, Stephen Bonner, Amir Atapour Abarghouei, Philip T. G. Jackson, Boguslaw Obara, Andrew Stephen McGough. 2725-2734 [doi]
- Autoencoder-based outlier detection for sparse, high dimensional dataWanghu Chen, Huijun Li, Jing Li, Ali Arshad. 2735-2742 [doi]
- Making an Array Database Language Server-Side ExtensibleOtoniel José Campos Escobar, Dimitar Misev, Peter Baumann 0001. 2743-2750 [doi]
- Automatic Tuning of Hyperparameters for Neural Networks in Serverless CloudAlex Kaplunovich, Yelena Yesha. 2751-2756 [doi]
- Benchmarking performance of RaySGD and Horovod for big data applicationsShruti Kunde, Amey Pandit, Rekha Singhal. 2757-2762 [doi]
- Impact of Map-Reduce framework on Hadoop and Spark MR Application PerformanceIshaan Lagwankar, Ananth Narayan Sankaranarayanan, Subramaniam Kalambur. 2763-2772 [doi]
- Uncovering Performance Interference of Multi-Tenants in Big Data EnvironmentsAdriano Lange, Tiago Rodrigo Kepe, Eduardo Cunha de Almeida, Marcos Sfair Sunye. 2773-2778 [doi]
- Performance Benchmarking of Automated Sentence Denoising using Deep LearningZhantong Liang, Abdou Youssef. 2779-2784 [doi]
- Exploring Characteristics of Inter-cluster Machines and Cloud Applications on Google ClustersYuhui Lin, Adam Barker, Sheriffo Ceesay. 2785-2794 [doi]
- A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU ClustersZheyu Lin, Xukun Chen, Hanyu Zhao, Yunteng Luan, Zhi Yang 0001, Yafei Dai. 2795-2801 [doi]
- Evaluating NoSQL Systems for Decision Support: An Experimental ApproachTomás F. Llano-Ríos, Mohamed Khalefa, Antonio Badia. 2802-2811 [doi]
- Improving Join Reordering for Large Scale Distributed ComputingAmogh Margoor, Mayur Bhosale. 2812-2819 [doi]
- RDFINT: A Benchmark for Comparing Data Warehouse with Virtual Integration Approaches for Integration of RDF DataSamson Oni, Kajal Pansare, Sukrit Singh Arneja, Zhiyuan Chen, Adina Crainiceanu, Don Needham. 2820-2826 [doi]
- A Simple Low Cost Parallel Architecture for Big Data AnalyticsCarlos Ordonez 0001, Sikder Tahsin Al-Amin, Xiantian Zhou. 2827-2832 [doi]
- Benchmarking HOAP for Scalable Document Data Management: A First StepYifan Tian, Michael Carey, Ian Maxon. 2833-2842 [doi]
- Computational performance of heterogeneous ensemble frameworks on high-performance computing platformsLinhua Wang, Prem Timsina, Gaurav Pandey. 2843-2850 [doi]
- Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow JobsJonathan Will, Jonathan Bader, Lauritz Thamsen. 2851-2856 [doi]
- SmartFund: Predicting Research Outcomes with Machine Learning and Natural Language ProcessingAlvin Alaphat, Meng Jiang. 2857-2865 [doi]
- Effective Missing Value Imputation Methods for Building Monitoring DataBrian Cho, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, Kesheng Wu. 2866-2875 [doi]
- A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled ScientometricsAntónio Correia, Shoaib Jameel, Daniel S. Schneider, Hugo Paredes, Benjamim Fonseca. 2876-2883 [doi]
- Toward Quantifying Vulnerabilities in Critical Infrastructure SystemsPravallika Devineni, Bill Kay, Hao Lu, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee. 2884-2890 [doi]
- Enhanced Data Augmentation using GANs for Raman Spectra ClassificationStefano Di Frischia, Paolo Giammatteo, Federico Angelini, Valeria Spizzichino, Elena De Santis, Luigi Pomante. 2891-2898 [doi]
- Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipmentOhyung Kwon, Nayeon Lee, Kangil Kim. 2903-2906 [doi]
- Self-Service, On-Demand Creation of OLAP Cubes over Big Data: a Metadata-Driven ApproachOthmane Latreche, Doulkifli Boukraâ. 2907-2914 [doi]
- Residual Neural Network Architectures to Improve Prediction Accuracy of Properties of MaterialsDavid Tatis, Heidy Sierra, Emmanuel Arzuaga. 2915-2918 [doi]
- Classifying Powder Flowability for Cold Spray Additive Manufacturing Using Machine LearningRichard Valente, Alissa Ostapenko, Bryer C. Sousa, Jack Grubbs, Christopher J. Massar, Danielle L. Cote, Rodica Neamtu. 2919-2928 [doi]
- Corrosion Assessment: Data Mining for Quantifying Associations between Indoor Accelerated and Outdoor Natural TestsBiao Yin, Thomas A. Considine, Fatemeh Emdad, John V. Kelley, Robert E. Jensen, Elke A. Rundensteiner. 2929-2936 [doi]
- Understanding Coarsening for Embedding Large-Scale GraphsTaha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya. 2937-2946 [doi]
- Graph Filtering to Remove the "Middle Ground" for Anomaly DetectionWilliam Eberle, Lawrence Holder. 2947-2956 [doi]
- Agent-Navigable Dynamic Graph Construction and Visualization over Distributed MemoryJustin Gilroy, Satine Paronyan, Jonathan Acoltzi, Munehiro Fukuda. 2957-2966 [doi]
- Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug RepurposingChristopher D. Rickett, Kristyn J. Maschhoff, Sreenivas R. Sukumar. 2967-2976 [doi]
- Memory Efficient Graph Convolutional Network based Distributed Link PredictionDamitha Senevirathne, Isuru Wijesiri, Suchitha Dehigaspitiya, Miyuru Dayarathna, Sanath Jayasena, Toyotaro Suzumura. 2977-2986 [doi]
- Graph Force LearningKe Sun, Jiaying Liu 0006, Shuo Yu, Bo Xu 0008, Feng Xia 0001. 2987-2994 [doi]
- Learning Embeddings of Directed Networks with Text-Associated Nodes - with Application in Software Package Dependency NetworksKexuan Sun 0002, Shudan Zhong, Hong Xu 0003. 2995-3004 [doi]
- Relational Graph Embeddings for Table RetrievalMohamed Trabelsi, ZhiYu Chen, Brian D. Davison 0001, Jeff Heflin. 3005-3014 [doi]
- Approximately and Efficiently Estimating Dynamic Point-to-Point Shortest PathAlok Tripathy, Oded Green. 3015-3024 [doi]
- Retrieving Entities from Knowledge Graphs without Knowing Much: On Learning Generalizable Patterns and IndexingYuting Xie, Tingjian Ge, Cindy X. Chen. 3025-3034 [doi]
- General Self-aware Information Extraction from Labels of Biological CollectionsIcaro Alzuru, Andréa M. Matsunaga, Maurício O. Tsugawa, José A. B. Fortes. 3035-3044 [doi]
- Human-in-the-Loop Business Modelling for Emergent External FactorsShubhi Asthana, Shikhar Kwatra, Christine T. Wolf, Pawan Chowdhary, Taiga Nakamura. 3045-3051 [doi]
- Predicting Skill Shortages in Labor Markets: A Machine Learning ApproachNikolas Dawson, Marian-Andrei Rizoiu, Benjamin Johnston, Mary-Anne Williams. 3052-3061 [doi]
- Validation of CyborgCrowd Implementation Possibility for Situation Awareness in Urgent Disaster Response -Case Study of International Disaster Response in 2019-Munenari Inoguchi, Keiko Tamura, Kousuke Uo, Masaki Kobayashi. 3062-3071 [doi]
- Modelling Hybrid Human-Artificial Intelligence Cooperation: A Call Center Customer Service Case StudyLaura H. Kahn, Onur Savas, Adamma Morrison, Kelsey A. Shaffer, Lila Zapata. 3072-3075 [doi]
- Analysis of Hand-drawn Maps of Places in Natural Disaster PicturesSeungun Kim, Masaki Matsubara, Atsuyuki Morishima. 3076-3078 [doi]
- Exploring Contextual Paradigms in Context-Aware RecommendationsConor Morgan, Iulia Paun, Nikos Ntarmos. 3079-3084 [doi]
- A Framework for Recommendation Algorithms Using Knowledge Graph and Random Walk MethodsTakafumi Suzuki, Satoshi Oyama, Masahito Kurihara. 3085-3087 [doi]
- Adaptive Image Scaling for Corresponding Points Matching between Images with Differing Spatial ResolutionsHisatoshi Toriya, Ashraf M. Dewan, Itaru Kitahara. 3088-3095 [doi]
- Human-in-the-loop Approach towards Dual Process AI DecisionsHikaru Uchida, Masaki Matsubara, Kei Wakabayashi, Atsuyuki Morishima. 3096-3098 [doi]
- Interpretation of Sentiment Analysis with Human-in-the-LoopVijaya Kumari Yeruva, Mayanka Chandrashekar, Yugyung Lee, Jeff Rydberg-Cox, Virginia Blanton, Nathan A. Oyler. 3099-3108 [doi]
- Real-time Traffic Jam Detection and Congestion Reduction Using Streaming Graph AnalyticsZainab Abbas, Paolo Sottovia, Mohamad Al Hajj Hassan, Daniele Foroni, Stefano Bortoli. 3109-3118 [doi]
- Leveraging Differential Privacy in Geospatial Analyses of Standardized Healthcare DataDaniel R. Harris. 3119-3122 [doi]
- Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 PandemicGeorg Heiler, Tobias Reisch, Jan Hurt, Mohammad Forghani, Aida Omani, Allan Hanbury, Farid Karimipour. 3123-3132 [doi]
- Toward Identifying the Urban Community Structure from Population Flow and Public Services DistributionQinghe Liu, Zhicheng Liu, Yinfei Xu, Weiting Xiong, Junyan Yang, Qiao Wang. 3133-3142 [doi]
- Ad Recommendation utilizing user behavior in the physical space to represent their latent interestTakanobu Omura, Kenta Suzuki, Panote Siriaraya, Mohit Mittal, Yukiko Kawai, Shinsuke Nakajima. 3143-3146 [doi]
- Crowd Forecasting at Venues with Microblog Posts Referring to Future EventsRyotaro Tsukada, Haosen Zhan, Shonosuke Ishiwatari, Masashi Toyoda, Kazutoshi Umemoto, Haichuan Shang, Koji Zettsu. 3147-3155 [doi]
- On Variational Inference for User Modeling in Attribute-Driven Collaborative FilteringVenugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar, Abhinav Mathur, Kannan Achan. 3156-3164 [doi]
- Understanding User Understanding: What do Developers Expect from a Cognitive Assistant?Glaucia Melo dos Santos, Edith Law, Paulo S. C. Alencar, Donald D. Cowan. 3165-3172 [doi]
- Representation of Click-Stream DataSequences for Learning User Navigational Behavior by Using EmbeddingsErdi Olmezogullari, Mehmet S. Aktas. 3173-3179 [doi]
- 3D-CLoST: A CNN-LSTM Approach for Mobility Dynamics Prediction in Smart CitiesStefano Fiorini, Giorgio Pilotti, Michele Ciavotta, Andrea Maurino. 3180-3189 [doi]
- Contact-Tracing based on Time-Varying Graphs AnalysisLorenzo Goglia, Eugenio Zimeo. 3190-3198 [doi]
- Repurposing recidivism models for forecasting police officer use of forceSamira Khorshidi, Jeremy G. Carter, George O. Mohler. 3199-3203 [doi]
- An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland ChinaJi Liu 0003, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang. 3204-3211 [doi]
- A Self-limiting Hawkes Process: Interpretation, Estimation, and Use in Crime ModelingJack Olinde, Martin B. Short. 3212-3219 [doi]
- Analysis and Classification of Vaccine Dialogue in the Coronavirus EraNijhum Paul, Swapna S. Gokhale. 3220-3227 [doi]
- Interpretable Hawkes Process Spatial Crime Forecasting with TV-RegularizationHao Sha, Mohammad Al Hasan, Jeremy G. Carter, George Mohler. 3228-3236 [doi]
- Analyzing Effectiveness of Gang Interventions using Koopman Operator TheorySian Wen, Andy Chen, Tanishq Bhatia, Nicholas Liskij, David Hyde 0003, Andrea L. Bertozzi, P. Jeffrey Brantingham. 3237-3245 [doi]
- Emotion Classification and Textual Clustering Techniques for Gang Intervention DataRuofei Wu, Chenxin Yang, David Hyde 0003, Andrea L. Bertozzi, P. Jeffrey Brantingham. 3246-3254 [doi]
- RIVAChain: Blockchain-based Integrity Verification for File TransfersAhmed Alhussen, Engin Arslan. 3255-3261 [doi]
- A Sentiment Analysis Service Platform for Streamed Multilingual TweetsIoanna Karageorgou, Panagiotis Liakos, Alex Delis. 3262-3271 [doi]
- Data Structure Visualization on the WebJuan Lin, Hui Zhang 0006. 3272-3279 [doi]
- Facilitating the HPC Data Center Host efficiency through Big Data AnalyticsJack Rager, Fang Cherry Liu. 3280-3287 [doi]
- Service Provisioning through High Level, Complexity Hiding InterfacesGuangchen Ruan, Hui Zhang 0006, Esen Tuna, Eric A. Wernert. 3288-3294 [doi]
- Uncertainty Analysis and Visualization for Nitrogen Leaching with the Maize-N ModelBabak Samani, Saeideh Samani, Haishun Yang, Hongfeng Yu. 3295-3303 [doi]
- Baseline for Performance Prediction of Android ApplicationsAnders Skretting, Tor-Morten Grønli. 3304-3310 [doi]
- Cosine similarity distance pruning algorithm Based on graph attention mechanismHuaxiong Yao, Yang Huang, Jiabei Hu, Wenqi Xie. 3311-3318 [doi]
- Look into Multi-Person: A New Benchmark for Pose Estimation and Human ParsingYanlu Cai, Yuqing Li, Runyu Peng, Yipei Xu, Chenzhe Jin, Cheng Jin. 3319-3324 [doi]
- Self-calibrated Attention Residual Network for Image Super-ResolutionAnqi Rong, Li Zhao 0005, Pengcheng Huang, Jiawei Xu. 3325-3332 [doi]
- A Nonlocal Denoising Framework Based on Tensor Robust Principal Component Analysis with ℓp normMengqing Sun, Li Zhao 0005, Jingjing Zheng, Jiawei Xu. 3333-3340 [doi]
- Design of Fine-grained Plant Dataset and A Plant Image Acquisition ToolWeilin Wan, Bingyu Tang, Ziheng Sun, Haochen Ye. 3341-3346 [doi]
- Feature Fusion Based on Sparse Block for Image Super-resolutionShengping Wang, Li Zhao, Runhua Jiang, Pengcheng Huang, Jiawei Xu. 3347-3354 [doi]
- OSD: An Occlusion Skeleton Dataset for Action RecognitionYuan Wu, Haoyue Qiu, Jing Wen, Rui Feng. 3355-3360 [doi]
- Multi-level Feature Fusion Network for Single Image Super-ResolutionXinxia Zhang, Xiaoqin Zhang 0002, Li Zhao 0005, Runhua Jiang, Pengcheng Huang, Jiawei Xu. 3361-3368 [doi]
- Development and Application of an Intensive Care Medical Data Set for Deep LearningShangping Zhao, Pan Liu, Guanxiu Tang, Yanming Guo, Guohui Li. 3369-3373 [doi]
- Detecting Curve Text with Local Segmentation Network and Curve ConnectionZhao Zhou, Hao Ye, Luhui Chen, Yingbin Zheng. 3374-3379 [doi]
- FSRGAN-DB: Super-resolution Reconstruction Based on Facial Prior KnowledgeWengang Zhou, Chaoqun Hong, Xiaodong Wang, Zhiqiang Zeng. 3380-3386 [doi]
- Edge Computing with Big Data Cloud Architecture: A Case Study in Smart BuildingCatherine Inibhunu, Carolyn McGregor. 3387-3393 [doi]
- Developing an Architecture for IoT Interoperability in Healthcare: A Case Study of Real-time SpO2 Signal Monitoring and AnalysisQuoc H. Nguyen, Quang Dang, Chuan Pham, Tien Dung Nguyen, Hang Nguyen, Arveity Setty, Trung-Quôc Le. 3394-3403 [doi]
- Big Data Architectures for Vehicle Data AnalysisChristian Prehofer, Shafqat Mehmood. 3404-3412 [doi]
- Utilizing Social Media for Identifying Drug Addiction and Recovery InterventionShalmoli Ghosh, Janardan Misra, Saptarshi Ghosh 0001, Sanjay Podder. 3413-3422 [doi]
- A Framework for Edge-Assisted Healthcare Data Analytics using Federated LearningSaqib Hakak, Suprio Ray, Wazir Zada Khan, Erik J. Scheme. 3423-3427 [doi]
- Privacy Preserving Time-Series Forecasting of User Health Data StreamsSana Imtiaz, Sonia-Florina Horchidan, Zainab Abbas, Muhammad Arsalan, Hassan Nazeer Chaudhry, Vladimir Vlassov. 3428-3437 [doi]
- Google Trends Analysis of COVID-19 PandemicZhenhe Pan, Hoang Long Nguyen 0002, Hashim Abu-gellban, Yuanlin Zhang 0002. 3438-3446 [doi]
- Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNetZhou Yang, Zhenhe Pan, Sisheng Liang, Fang Jin. 3447-3452 [doi]
- Pedestrian Trajectory Prediction Using Pre-trained Machine Learning Model for Human-Following Mobile RobotRina Akabane, Yuka Kato. 3453-3458 [doi]
- Enhancing Resource Provisioning Across Edge-based EnvironmentsEyhab Al-Masri, James Olmsted. 3459-3463 [doi]
- Towards Policy-aware Edge Computing ArchitecturesPratik Baniya, Gaurav Bajaj, Jerry Lee, Ardeshir Bastani, Clifton Francis, Mahima Agumbe Suresh. 3464-3469 [doi]
- Towards AIOps in Edge Computing EnvironmentsSören Becker, Florian Schmidt 0006, Anton Gulenko, Alexander Acker, Odej Kao. 3470-3475 [doi]
- Anomaly and Degradation Detection Using Subspace Tracking in Streaming DataKyungduck Cha, Carol Sadek, Zohreh Asgharzadeh. 3476-3481 [doi]
- Elucidating the extent by which population staying patterns help improve electricity load demand predictionsGuillaume Habault, Shinya Wada, Rui Kimura, Chihiro Ono. 3482-3487 [doi]
- A Scalable and Dependable Data Analytics Platform for Water Infrastructure MonitoringFelix Lorenz, Morgan Geldenhuys, Harald Sommer, Frauke Jakobs, Carsten Lüring, Volker Skwarek, Ilja Behnke, Lauritz Thamsen. 3488-3493 [doi]
- Understanding Bit-Error Trade-off of Transform-based Lossy Compression on Electrocardiogram SignalsAekyeung Moon, Seung Woo Son 0001, Jiuk Jung, Yun-Jeong Song. 3494-3499 [doi]
- A Reference Model for IoT Embodied Agents Controlled by Neural NetworksNathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan, Carlos Lucena. 3500-3505 [doi]
- Real-Time Machine Learning for Air Quality and Environmental Noise DetectionSayed Khushal Shah, Zeenat Tariq, Jeehwan Lee, Yugyung Lee. 3506-3515 [doi]
- Automatic Multimodal Heart Disease Classification using Phonocardiogram SignalZeenat Tariq, Sayed Khushal Shah, Yugyung Lee. 3514-3521 [doi]
- Synchronized Preprocessing of Sensor DataAmal Tawakuli, Daniel Kaiser 0001, Thomas Engel 0001. 3522-3531 [doi]
- Large-scale Data Integration for Facilities Analytics: Challenges and OpportunitiesBalaje T. Thumati, Halasya Siva Subramania, Rajeev Shastri, Karthik Kalyana Kumar, Nicole Hessner, Vincent Villa, Aaron Page, David Followell. 3532-3538 [doi]
- Automatic Device Identification and Anomaly Detection with Machine Learning Techniques in Smart FactoriesChin-Wei Tien, Tse-Yung Huang, Ping Chun Chen, Jenq-Haur Wang. 3539-3544 [doi]
- Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly DetectionMinglu Zhao, Reo Furuhata, Mulya Agung, Hiroyuki Takizawa, Tomoya Soma. 3545-3549 [doi]
- BuTTER: BidirecTional LSTM for Food Named-Entity RecognitionGjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic-Seljak, Tome Eftimov. 3550-3556 [doi]
- APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resourcesBojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic-Seljak. 3557-3562 [doi]
- Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition DataGordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak. 3563-3572 [doi]
- Leveraging Social Network Analysis to Explore Obesity Talks on TwitterEdwin Mitei, Thanaa Ghanem. 3563-3572 [doi]
- Discovering Entity Profiles Candidate for Entity Resolution on Linked Open Data Halal Food ProductsNur Aini Rakhmawati, Ahmad Choirun Najib. 3583-3591 [doi]
- Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQsNina Resçiç, Tome Eftimov, Barbara Korousic-Seljak. 3592-3595 [doi]
- Toward Robust Food Ontology MappingRiste Stojanov, Ilija Kocev, Sasho Gramatikov, Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov. 3596-3601 [doi]
- Approximate kNN Classification for Biomedical DataPanagiotis Anagnostou, Petros Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis. 3602-3607 [doi]
- Fine-Tuning Language Models For Semi-Supervised Text MiningXinyu Chen, Ian Beaver, Cynthia Freeman. 3608-3617 [doi]
- A Graph Neural Network For Assessing The Affective Coherence Of Twitter GraphsGeorgios Drakopoulos, Ioanna Giannoukou, Phivos Mylonas, Spyros Sioutas. 3618-3627 [doi]
- A Machine Learning fMRI Approach in the Diagnosis of AutismAikaterini Karampasi, Ioannis Kakkos, Stavros Theofanis Miloulis, Ioannis Zorzos, Georgios N. Dimitrakopoulos, Kostakis Gkiatis, Panteleimon Asvestas, George K. Matsopoulos. 3628-3631 [doi]
- Measuring Distances Among Graphs En Route To Graph ClusteringIvan Kyosev, Iulia Paun, Yashar Moshfeghi, Nikos Ntarmos. 3632-3641 [doi]
- Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based RetrievalAshmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty. 3642-3651 [doi]
- BeFair: Addressing Fairness in the Banking SectorAlessandro Castelnovo, Riccardo Crupi, Giulia Del Gamba, Greta Greco, Aisha Naseer, Daniele Regoli, Beatriz San Miguel González. 3652-3661 [doi]
- Fairness Metrics: A Comparative AnalysisPratyush Garg, John D. Villasenor, Virginia Foggo. 3662-3666 [doi]
- A Generic Framework for Black-box ExplanationsClément Henin, Daniel Le Métayer. 3667-3676 [doi]
- Toward Interpretable Machine Learning for Understanding Epidemic DataDean Frederick Hougen, Jin-Song Pei, Sai Teja Kanneganti. 3677-3681 [doi]
- Validation of an Alternative Neural Decision TreeYu Leo Lu, Chunming Wang. 3682-3691 [doi]
- Fairness for Whom? Understanding the Reader's Perception of Fairness in Text SummarizationAnurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh 0001. 3692-3701 [doi]
- An Empirical Study on Efficiency of a Dictionary Based Viterbi Algorithm for Word SegmentationSudhir Aggarwal, Shiva Houshmand, Tathagata Mukherjee, James Parsons. 3702-3710 [doi]
- A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical ImagesAlycia N. Carey, Justin Zhan. 3711-3720 [doi]
- Diseases identification with big data concept - The older people communityAndré Esteves, Vasco Ponciano, Ivan Miguel Pires. 3721-3726 [doi]
- Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning CasesDaniel R. Harris, Christian Eisinger, Yanning Wang, Chris Delcher. 3727-3736 [doi]
- Lung Pattern Classification Via DCNNJing Selena He, Meng Han, Lei Yu, Chao Mei. 3737-3743 [doi]
- Predicting Clinical Deterioration in HospitalsLaleh Jalali, Hsiu-Khuern Tang, Richard H. Goldstein, Joaquín Álvarez-Rodríguez. 3744-3752 [doi]
- Mining Concepts for a COVID Interface Terminology for Annotation of EHRsVipina Kuttichi Keloth, Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew J. Einstein, James Geller, Yehoshua Perl. 3753-3760 [doi]
- Attention-Based LSTM Network for COVID-19 Clinical Trial ParsingXiong Liu, Luca A. Finelli, Greg L. Hersch, Iya Khalil. 3761-3766 [doi]
- Exploration of links between anxiety purchases, deprivation and personality traitsVanja Ljevar, James Goulding, Gavin Smith. 3767-3774 [doi]
- Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysisSidharth Mahotra, Mengyu Wang, Tobias Elze, Michael V. Boland, Louis R. Pasquale, Juleke Majoor, Koen A. Vermeer, Chris Johnson, Kouros Nouri-Mahdavi, Hans G. Lemij, Micahel H. Goldbaum, Siamak Yousefi. 3775-3782 [doi]
- Control and Prevention of Personal StressHugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski. 3783-3785 [doi]
- Features Importance to Improve Interpretability of Chronic Kidney Disease Early DiagnosisPedro A. Moreno-Sanchez. 3786-3792 [doi]
- E-health and M-health applications in Georgia: A review on the free available applications for Android DevicesSalome Oniani, Gonçalo Marques, Ivan Miguel Pires, Salome Muhkashavria, Nuno M. Garcia. 3793-3796 [doi]
- Personal Digital Life Coach for Physical TherapyGoce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia. 3797-3802 [doi]
- A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN)Abrar Rahman, John Kriak, Rick Meyer, Sidney Goldblatt, Fuad Rahman. 3803-3810 [doi]
- Visualizing Effects of COVID-19 Social Isolation with Residential Activity Big Data Sensor DataAnuradha Rajkumar, Bruce Wallace, Laura Ault, Julien Larivière-Chartier, Frank Knoefel, Rafik Goubran, Jeff Kaye, Neil Thomas. 3811-3819 [doi]
- Analyzing Adverse Event Signal Detection with Publicly Available Web SourcesAlex Salamun, Stephanie Duque, Praveen Madiraju. 3820-3826 [doi]
- Reducing Reporting Burden of Healthcare Data Using Robust Principal Component AnalysisLes Servi, Randy C. Paffenroth, Melanie Jutras, Deon Burchett. 3827-3836 [doi]
- Clinical Sublanguage Trend and Usage Analysis from a Large Clinical CorpusYiJun Shao, Guy Divita, Terri Elizabeth Workman, Doug Redd, Jennifer H. Garvin, Qing Zeng-Treitler. 3837-3845 [doi]
- Examining Deep Learning Models with Multiple Data Sources for COVID-19 ForecastingLijing Wang 0001, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe. 3846-3855 [doi]
- Comparative analysis of machine learning methods for analyzing security practice in electronic health records' logsProsper Kandabongee Yeng, Muhammad Ali Fauzi, Bian Yang. 3856-3866 [doi]
- Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharingAmir Atapour Abarghouei, A. Stephen McGough, David S. Wall. 3867-3876 [doi]
- Rumor Detection on Social Networks: A Sociological ApproachNeelam S. Jogalekar, Vahida Attar, Girish K. Palshikar. 3877-3884 [doi]
- FlightSense: A Spoofer Detection and Aircraft Identification System using Raw ADS-B DataNikita Susan Joseph, Chaity Banerjee, Eduardo Pasiliao, Tathagata Mukherjee. 3885-3894 [doi]
- Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing ImageryTrevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis. 3895-3903 [doi]
- Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage AssessmentTashnim Chowdhury, Maryam Rahnemoonfar, Robin R. Murphy, Odair Fernandes. 3904-3913 [doi]
- Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural NetworksJ. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott. 3914-3923 [doi]
- Investigating the Relationship Between High-Latitude Dust and PrecipitationAriane Maharaj, Thilanka Munasinghe. 3934-3942 [doi]
- Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional NetworksDebvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden. 3943-3952 [doi]
- A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm NowcastingWei Zhang, Hongling Liu, Pengfei Li, Lei Han. 3953-3960 [doi]
- Exploring the Impact of Resampling Methods for Malware DetectionPaula Branco. 3961-3968 [doi]
- Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy PoliciesLavanya Elluri, Karuna Pande Joshi, Anantaa Kotal. 3963-3978 [doi]
- Practical Privacy-Preserving Data Science With Homomorphic Encryption: An OverviewMichela Iezzi. 3979-3988 [doi]
- Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic EncryptionTakumi Ishiyama, Takuya Suzuki, Hayato Yamana. 3989-3995 [doi]
- z-anonymity: Zero-Delay Anonymization for Data StreamsNikhil Jha, Thomas Favale, Luca Vassio, Martino Trevisan, Marco Mellia. 3996-4005 [doi]
- Privacy Preserving Proxy for Machine Learning as a ServiceKeshav Kasichainula, Hadi Mansourifar, Weidong Shi. 4006-4015 [doi]
- Secure and Efficient Trajectory-Based Contact Tracing using Trusted HardwareFumiyuki Kato, Yang Cao 0011, Masatoshi Yoshikawa. 4016-4025 [doi]
- Closed Itemset based Sensitive Pattern Hiding for Improved Data Utility and ScalabilityHimanshu Makkar, Durga Toshniwal, Shalini Jangra. 4026-4035 [doi]
- Actionable Knowledge Extraction Framework for COVID-19Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Sheikh Iqbal Ahamed, Sweta Sneha, Mohammad Ashiqur Rahman, Alfredo Cuzzocrea. 4036-4041 [doi]
- Preserving Privacy of Temporal Big DataAnifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea. 4042-4051 [doi]
- Detection of Energy Theft in Smart Grids using Electricity Consumption PatternsDabeeruddin Syed, Haitham Abu-Rub, Shady S. Refaat, Le Xie. 4059-4064 [doi]
- Knowledge Graph Anonymization using Semantic AnatomizationMaxime Thouvenot, Olivier Curé, Philippe Calvez. 4065-4074 [doi]
- Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable EncryptionRedwan Walid, Karuna P. Joshi, Seung Geol Choi, Dae Young Kim. 4075-4082 [doi]
- Differentially Private Frequency Sketches for Intermittent Queries on Large Data StreamsSinan Yildirim, Kamer Kaya, Soner Aydin, Hakan Bugra Erentug. 4083-4092 [doi]
- Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating MachinesSabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao. 4093-4102 [doi]
- A Hybrid Decision Tree-Neural Network (DT-NN) Model for Large-Scale Classification ProblemsJarrod Carson, Kane Hollingsworth, Rituparna Datta, George Clark, Aviv Segev. 4103-4111 [doi]
- Dynamic Thresholding Leading to Optimal Inventory MaintenanceSuresh K. Choubey, Ryan Benton, Tom Johnsten. 4112-4121 [doi]
- Predictive Maintenance on Aircraft and Applications with Digital TwinSam Heim, Jason Clemens, James E. Steck, Christopher Basic, David Timmons, Kourtney Zwiener. 4122-4127 [doi]
- Big Data Processing for Power Grid Event DetectionBruno P. Leao, Dmitriy Fradkin, Yubo Wang, Sindhu Suresh. 4128-4136 [doi]
- Multipath Temporal Convolutional Network for Remaining Useful Life EstimationIvan Melendez-Vazquez, Rolando Dülling, Oliver Bringmann 0001. 4137-4146 [doi]
- Method for Selecting a Data Imputation Model Based on Programming by Example for Data AnalystsHiroko Nagashima, Yuka Kato. 4147-4156 [doi]
- Animal Behavior Prediction with Long Short-Term MemoryHenry Roberts, Aviv Segev. 4157-4164 [doi]
- An Application of the Deep Belief Networks to the prediction of massive Solar Flare Occurrence Using SDO/HMI DataAli K. Abed, Rami Qahwaji. 4165-4174 [doi]
- A Framework for Detecting Polarity Inversion Lines from Longitudinal MagnetogramsXumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk. 4175-4183 [doi]
- On The Effectiveness of Imaging of Time Series for Flare Forecasting ProblemYang Chen, Anli Ji, Pavan Ajit Babajiyavar, Azim Ahmadzadeh, Rafal A. Angryk. 4184-4191 [doi]
- Exploring Predictive Capabilities of GOES and SDO/EVE Data for Flare ForecastingJonathan Ehrengruber, Martin Melchior. 4192-4199 [doi]
- Deep Neural Network-based Active Region Magnetogram Patch Super ResolutionMohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk. 4200-4207 [doi]
- First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare ForecastingMaxwell Hostetter, Rafal A. Angryk. 4208-4217 [doi]
- All-Clear Flare Prediction Using Interval-based Time Series ClassifiersAnli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk. 4218-4225 [doi]
- A Deep Recurrent Neural Network to Support Guidelines and Decision Making of Social DistancingMohammed Aledhari, Rehma Razzak, Reza M. Parizi, Ali Dehghantanha. 4233-4240 [doi]
- Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal InformationTunazzina Islam, Dan Goldwasser. 4241-4249 [doi]
- Perception detection using TwitterVanja Ljevar, James Goulding, Alexa Spence, Gavin Smith. 4250-4256 [doi]
- Multi-label Detection and Classification of Red Blood Cells in Microscopic ImagesWei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li. 4257-4263 [doi]
- Contrast-resolution Evaluation of Fourier Based High Frame Rate ImagingZhaohui Wang. 4264-4269 [doi]
- A Prototype Application to Identify LGBT Patients in Clinical NotesTerri Elizabeth Workman, Joseph L. Goulet, Cynthia Brandt, Melissa Skanderson, Rixin Wang, Allison R. Warren, Jacob Eleazer, Kirsha Gordon, Qing Zeng-Treitler. 4270-4275 [doi]
- Discriminative Pattern Mining for Natural Language Metaphor GenerationJennifer Brooks, Abdou Youssef. 4276-4283 [doi]
- TADS: Transformation of Anomalies in Data StreamsWyatt Green, Tom Johnsten, Ryan G. Benton. 4284-4292 [doi]
- How to Control Coronavirus Conspiracy Theories in Twitter? A Systems Thinking and Social Networks Modeling ApproachMustafa Alassad, Muhammad Nihal Hussain, Nitin Agarwal. 4293-4299 [doi]
- Collecting Domain-Relevant Tweets: Creation and Application of a New FrameworkAlina Campan, Traian Marius Truta, Shawn Huesman, Celine Wardrop, Alyssa Appelman. 4300-4307 [doi]
- Unveiling Ideological Trends Through Data Analytics to Construe National Security InstabilitiesPedro Cárdenas, Boguslaw Obara, Georgios Theodoropoulos 0001, Ibad Kureshi. 4308-4317 [doi]
- Understanding Online Information Operations: Development of an Influence Network for Scientific Inquiry Testing Environment (INSITE)Courtney Crooks, Tom McNeil, Ben Sawyer, Matthew Canham, David Muchlinski. 4318-4324 [doi]
- Toward A Multilingual and Multimodal Data Repository for COVID-19 DisinformationYichuan Li, Bohan Jiang, Kai Shu, Huan Liu 0001. 4325-4330 [doi]
- Profiling Astroturfing Facebook Users During Three Contiguous Israeli Election PeriodsJonathan Schler, Elisheva Bonchek-Dokow, Tomer Vainstein, Moshe Gotam, Mike Teplitsky. 4331-4340 [doi]
- Illicit Activity Detection in Large-Scale Dark and Opaque Web Social NetworksDhara Shah, T. G. Harrison, Christopher B. Freas, David Maimon, Robert W. Harrison. 4341-4350 [doi]
- Pro-ISIS Tweets Analysis Using Machine Learning TechniquesJulia Thee, Izzat Alsmadi, Samer Al-khateeb. 4351-4358 [doi]
- How biased are American media outlets? A framework for presentation bias regressionMinh Tran. 4359-4364 [doi]
- Predicting Stock Price Movements with Text Data using Labeling based on Financial TheoryFredrik Ahnve, Kasper Fantenberg, Gustav Svensson, Daniel Hardt. 4365-4372 [doi]
- Anomaly Detection in Exchange Traded FundsNitish Bahadur, Randy C. Paffenroth. 4373-4382 [doi]
- Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return VolatilityMatthew Caron, Oliver Müller. 4383-4391 [doi]
- Large-scale Data-driven Segmentation of Banking CustomersMd. Monir Hossain, Mark Sebestyen, Dhruv Mayank, Omid Ardakanian, Hamzeh Khazaei. 4392-4401 [doi]
- Exploring market power using deep reinforcement learning for intelligent bidding strategiesAlexander J. M. Kell, Matthew Forshaw, A. Stephen McGough. 4402-4411 [doi]
- DeepCatch: Predicting Return Defaulters in Taxation System using Example-Dependent Cost-Sensitive Deep Neural NetworksPriya Mehta, Ch. Sobhan Babu, S. V. Kasi Visweswara Rao, K. Sandeep Kumar. 4412-4419 [doi]
- Repeating Link Prediction over Dynamic GraphsDaniele Montesi, Sarunas Girdzijauskas, Vladimir Vlassov. 4420-4428 [doi]
- Large Scale Financial Filing Analysis on HPCC SystemsMatthias Murray, Arjuna Chala, Lili Xu, Roger Dev. 4429-4436 [doi]
- Causal Maps for Multi-Document SummarizationSasha Strelnikoff, Aruna Jammalamadaka, Dana Warmsley. 4437-4445 [doi]
- A Novel Hybrid Approach with A Decomposition Method and The RVFL Model for Crude Oil Price PredictionChengyuan Zhang, Fuxin Jiang, Shouyang Wang, Wei Shang. 4446-4449 [doi]
- Building A Non-Personalized Recommender System by Learning Product and Basket RepresentationSavas Yildirim, Sebnem Günes Söyler, Özgür Akarsu. 4450-4455 [doi]
- Data Requests and Scenarios for Data Design of Unobserved Events in Corona-related Confusion Using TEEDATeruaki Hayashi, Nao Uehara, Daisuke Hase, Yukio Ohsawa. 4456-4461 [doi]
- User authentication based on smartphone application usage patterns through learning classifier systemsMhd Irvan, Toshiyuki Nakata 0001, Rie Shigetomi Yamaguchi. 4462-4466 [doi]
- Verification of Data Similarity using Metadata on a Data Exchange PlatformHiroki Sakaji, Teruaki Hayashi, Kiyoshi Izumi, Yukio Ohsawa. 4467-4474 [doi]
- Hierarchical Graph Convolutional Network for Data Evaluation of Dynamic GraphsBin Wang, Teruaki Hayashi, Yukio Ohsawa. 4475-4481 [doi]
- Correlation-Based Analytics of Time Series DataRamoza Ahsan, Rodica Neamtu, Muzammil Bashir, Elke A. Rundensteiner, Gábor N. Sárközy. 4482-4491 [doi]
- Link Prediction in Knowledge Graphs with Numeric Triples Using ClusteringBetul Bayrak, Roya Choupani, Erdogan Dogdu. 4492-4498 [doi]
- A Comparative Evaluation of Top-N Recommendation Algorithms: Case Study with Total CustomersIdir Benouaret, Sihem Amer-Yahia. 4499-4508 [doi]
- Local Outlier Detection for Multi-type Spatio-temporal TrajectoriesXumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk. 4509-4518 [doi]
- Uncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph EmbeddingsEgbert Castro, Andrew Benz, Alexander Tong 0001, Guy Wolf, Smita Krishnaswamy. 4519-4528 [doi]
- Extraction of Product Defects and Opinions from Customer Reviews by Using Text Clustering and Sentiment AnalysisMustafa Çataltas, Sevcan Dogramaci, Semih Yumusak, Kasim Öztoprak. 4529-4534 [doi]
- Higher-order Link Prediction Using Triangle EmbeddingsNeeraj Chavan, Katerina Potika. 4535-4544 [doi]
- EvaNet: An Extreme Value Attention Network for Long-Term Air Quality PredictionZechuan Chen, Haomin Yu, Yangli-ao Geng, Qingyong Li, Yingjun Zhang. 4545-4552 [doi]
- A Novel Weighted FP-Stream Algorithm for IoT Data StreamsHalil Ibrahim Dede, Cemile TImurkaan, Metehan Guzel, Suat Ozdemir. 4553-4558 [doi]
- Speculator and Influencer Evaluation in Stock Market by Using Social MediaMustafa Dogan, Ömer Metin, Elif Tek, Semih Yumusak, Kasim Öztoprak. 4559-4566 [doi]
- Multi-source Machine Learning for AQI EstimationDat Q. Duong, Quang M. Le, Tan-Loc Nguyen-Tai, Dong Bo, Dat Nguyen, Minh-Son Dao, Binh T. Nguyen. 4567-4576 [doi]
- An evaluation of machine learning methods for domain name classificationAmit Garg, Nachiket Trivedi, Junlan Lu, Magdalini Eirinaki, Bin Yu, Femi G. Olumofin. 4577-4585 [doi]
- Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural NetworksMohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk. 4586-4593 [doi]
- On the Evaluation and Deployment of Machine Learning Approaches for Intrusion DetectionFelix Heine, Tim Laue 0003, Carsten Kleiner. 4594-4603 [doi]
- An Automatic Classification of the Primary and the Corresponding Authors in Research ArticlesSukhwan Jung, Rituparna Datta, Aviv Segev. 4604-4612 [doi]
- Named Entity Recognition on Morphologically Rich Language: Exploring the Performance of BERT with varying Training LevelsYuksel Pelin Kilic, Duygu Dinc, Pinar Karagoz. 4613-4619 [doi]
- Finding Overlapping Clusters in a Highly Connected Graph from a Given Difference DensityKittichai Lavangnananda, Muhammad Aslam HemmatQachmas. 4620-4626 [doi]
- Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface CracksFucun Li, Ailing Yang, Huaming Chen, Geng Sun, Fang Wang, Yunzhou Xie, Jiaqi Li, Jun Shen 0001. 4627-4635 [doi]
- Item-Based Collaborative Filtering and Association Rules for a Baseline Recommender in E-CommerceJessica Lourenco, Aparna S. Varde. 4636-4645 [doi]
- A Real-Time Whole Page Personalization Framework for E-CommerceAditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan. 4646-4650 [doi]
- Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural NetworksYi Mao, Yun Li, Jiatai Sun, Yixin Chen. 4651-4656 [doi]
- ModelRecycling: Predicting user's interest with connected predictive modelsYoshiki Matsune,