Table of Contents

• Analyzing Data Selection Techniques with Tools from the Theory of Information LossesBrandon Foggo, Nanpeng Yu. 7-16 [doi]
• Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel ComplexitySo Hirai, Kenji Yamanishi. 17-27 [doi]
• Contrastive Learning in Neural Tensor Networks using Asymmetric ExamplesMohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal. 28-39 [doi]
• A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long SequencesColin Stephen. 40-50 [doi]
• YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste ManagementWesley Lin. 51-57 [doi]
• Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data SettingsPeng Zhao, Guanyu Hu. 58-64 [doi]
• Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous ClustersJonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao. 65-75 [doi]
• Transparent Network Memory Storage for Efficient Container Execution in Big Data CloudsJuhyun Bae, Ling Liu 0001, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar. 76-85 [doi]
• Supporting Data Compression in PnetCDFKaiyuan Hou, Qiao Kang, SunWoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao. 86-97 [doi]
• Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array VariablesQiao Kang, M. Scot Breitenfeld, Kaiyuan Hou, Wei-keng Liao, Robert B. Ross, Suren Byna. 98-108 [doi]
• Point cloud indexing using Big Data technologiesKevin Kocon, Pascal Bormann. 109-119 [doi]
• Cherry: A Distributed Task-Aware Shuffle Service for Serverless AnalyticsNikolaos Nikitas, Ioannis Konstantinou, Vana Kalogeraki, Nectarios Koziris. 120-130 [doi]
• Translation of Array-Based Graph Programs to Spark SQL on Block ArraysMd Hasanuzzaman Noor, Leonidas Fegaras. 131-140 [doi]
• Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big DataJian Wu 0006, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles. 141-152 [doi]
• CM-GCN: A Distributed Framework for Graph Convolutional Networks using Cohesive Mini-batchesGuoyi Zhao, Tian Zhou, Lixin Gao. 153-163 [doi]
• FedLess: Secure and Scalable Federated Learning Using Serverless ComputingAndreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt. 164-173 [doi]
• Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher PrecisionHiroshi Inoue. 174-180 [doi]
• Scaling the monitoring of approximate top-k queries in streaming windowsVíctor Rampérez, Shima Zahmatkesh, Emanuele Della Valle. 181-189 [doi]
• A Framework for Decentralized Parallel Complex Event Processing on Heterogeneous InfrastructuresHenriette Röger, Sukanya Bhowmik, Tobias Linn. 190-196 [doi]
• An Efficient Systematic Approach to Find All Cyclic Quorum Sets with All-pairs PropertyYiming Bian, Arun K. Somani. 197-206 [doi]
• Placement of DNN Models on Mobile Edge Devices for Effective Video AnalysisGeorge Constantinou, Cyrus Shahabi, Seon Ho Kim. 207-218 [doi]
• MultiBlock: A Scalable Iterative Approach for Progressive Entity ResolutionDimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios. 219-228 [doi]
• A Visual Analytics Framework for Distributed Data Analysis SystemsAbdullah al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel J. Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho. 229-240 [doi]
• Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data FrameworksMohamed Ragab 0001, Feras M. Awaysheh, Riccardo Tommasini 0001. 241-251 [doi]
• Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant MeasureR. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy. 252-262 [doi]
• Efficient Scalable Temporal Web Graph StoreKhoi Duy Vo, Sergej Zerr, Xiaofei Zhu, Wolfgang Nejdl. 263-273 [doi]
• Collectively Learned Multi-level Spatial Embeddings for Residential Rental Price PredictionWenlu Wang, Chen Pan. 274-283 [doi]
• Streaming Sparse Graphs using Efficient Dynamic SetsBrian Wheatman, Randal Burns. 284-294 [doi]
• Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural NetworkHuijuan Zhang, Lipeng Liang, Dongqing Wang. 295-305 [doi]
• A Parallel Chain Mail Approach for Scalable Spatial Data InterpolationAlbert Asratyan, Sina Sheikholeslami, Vladimir Vlassov. 306-314 [doi]
• In Situ Adaptive Spatio-Temporal Data SummarizationSoumya Dutta, Humayra Tasnim, Terece L. Turton, James P. Ahrens. 315-321 [doi]
• City-Scale System-Optimal Route Planning with Route ReplanningRobert J. Fitzgerald, Farnoush Banaei Kashani. 322-327 [doi]
• Application of Machine Learning and Government Finance Statistics for macroeconomic signal mining to analyze recessionary trends and score policy effectivenessChandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamaidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, Jaya Vuppalapati. 327-3283 [doi]
• Multi-Objective Submodular Optimization with Approximate Oracles and Influence MaximizationXiaoyun Fu, Rishabh Rajendra Bhatt, Samik Basu 0001, Aduri Pavan. 328-334 [doi]
• Efficient and Distributed Temporal Pattern MiningNguyen Ho, Van Long Ho, Torben Bach Pedersen, Mai Vu. 335-343 [doi]
• TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive LearningQuanliang Jing, Di Yao, Chang-Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi. 344-349 [doi]
• REFORM: Fast and Adaptive Solution for Subteam ReplacementZhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong. 350-358 [doi]
• Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite ImagerySaptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara. 359-367 [doi]
• REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe SystemsHang Nguyen, Md. Yusuf Sarwar Uddin, Nalini Venkatasubramanian. 368-375 [doi]
• LDI: Learned Distribution Index for Column StoresDai Hai Ton That, Mohammadsaleh Gharehdaghi, Alexander Rasin, Tanu Malik. 376-387 [doi]
• Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy VideosSodiq Adewole, Philip Fernandez, James Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown. 388-399 [doi]
• Optimizing Iterative Algorithms for Social Network ShardingZishi Deng, Torsten Suel. 400-408 [doi]
• Tensor-based Complementary Product RecommendationNegin Entezari, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao, Shishir Kumar Prasad. 409-415 [doi]
• Non-Parallel Text Style Transfer using Self-Attentional Discriminator as SupervisorKuan Feng, Yanmin Zhu, Jiadi Yu. 416-426 [doi]
• WikiContradiction: Detecting Self-Contradiction Articles on WikipediaCheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu. 427-436 [doi]
• From depression to suicidal discourse on RedditBenedetta Iavarone, Anna Monreale. 437-445 [doi]
• Federated Meta-Location Learning for Fine-Grained Location PredictionXiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen 0001, Cristian Borcea. 446-456 [doi]
• Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural NetworkXiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan. 457-468 [doi]
• NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy EvaluationLuyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan. 469-479 [doi]
• Schema-Aware Deep Graph Convolutional Networks for Heterogeneous GraphsSaurav Manchanda, Da Zheng, George Karypis. 480-489 [doi]
• Generating Topic-Preserving Synthetic NewsAhmadreza Mosallanezhad, Kai Shu, Huan Liu 0001. 490-499 [doi]
• HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profilingFuxin Ren, Zhongbao Zhang, Yang Yan, Zhi Wang, Sen Su, Philip S. Yu. 500-509 [doi]
• A Framework for Knowledge-Derived Query SuggestionsSaed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li. 510-518 [doi]
• GLOW : Global Weighted Self-Attention Network for Web SearchXuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo. 519-528 [doi]
• A Latent Customer Flow Model for Interpretable Predictions of Check-In CountsDaniel Tschernutter, Stefan Feuerriegel. 529-539 [doi]
• Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph EmbeddingShen Wang 0005, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu. 540-549 [doi]
• NeuralCubes: Deep Representations for Visual Data ExplorationZhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger. 550-561 [doi]
• An Analysis of Relation Extraction within Sentences from Wet Lab ProtocolsXianjun Yang, Xinlu Zhang, Julia Zuo, Stephen Wilson, Linda R. Petzold. 562-570 [doi]
• Target-dependent Event Detection: A New Task to Event Extraction from NewsTiantian Zhang, Xin Mao, Dejian Li, Meirong Ma, Hao Yuan, Jianchao Zhu, Man Lan. 571-580 [doi]
• Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes ProcessPanpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu. 581-589 [doi]
• Understanding User Topic Preferences across Multiple Social NetworksZiqing Zhu, Jiuxin Cao, Tao Zhou, Huiyu Min, Bo Liu. 590-599 [doi]
• How Useful is Meta-Recommendation? An Empirical InvestigationNassim Bouarour, Idir Benouaret, Sihem Amer-Yahia. 600-606 [doi]
• UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge DistillationHao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng. 607-613 [doi]
• Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from TwitterTakako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga 0001, Masaru Kitsuregawa, Ryota Kobayashi. 614-621 [doi]
• On Minimal and Maximal High Utility Itemsets Mining using Propositional SatisfiabilityAmel Hidouri, Saïd Jabbour, Imen Ouled Dlala, Badran Raddaoui. 622-628 [doi]
• P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big DataYikai Huang, Zhili Yao, Jianlin Feng. 629-634 [doi]
• Node-Polysemy Aware Recommendation by Matrix Completion with Side InformationBo Hui, Da Yan 0001, Wei-Shinn Ku. 636-642 [doi]
• Automatic Identification of Teachers in Social Media using Positive Unlabeled LearningHamid Karimi, Jiliang Tang, Xochitl Weiss, JiangTao Huang. 643-652 [doi]
• CONAN: Contrastive Fusion Networks for Multi-view ClusteringGuanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, Yannan Xie. 653-660 [doi]
• Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) ConceptPrabin B. Lamichhane, William Eberle. 661-667 [doi]
• Multi-Source Domain Adaptation with Weak Supervision for Early Fake News DetectionYichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton Faber, Cameron Fiddes, Elaine Chen, Kai Shu. 668-676 [doi]
• Distant-Supervised Slot-Filling for E-Commerce QueriesSaurav Manchanda, Mohit Sharma, George Karypis. 677-686 [doi]
• An Effective, Robust and Fairness-aware Hate Speech Detection FrameworkGuanyi Mou, Kyumin Lee. 687-697 [doi]
• A study on the calibration of fingerprint classifiersDaniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys. 698-704 [doi]
• Learning Interpretation with Explainable Knowledge DistillationRaed Alharbi, Minh N. Vu, My T. Thai. 705-714 [doi]
• FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised LearningLiwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma. 715-724 [doi]
• Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead ImagesWeiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock. 725-734 [doi]
• HAR: Hardness Aware Reweighting for Imbalanced DatasetsRahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun. 735-745 [doi]
• GraSSNet: Graph Soft Sensing Neural NetworksYu Huang, Chao Zhang, Jaswanth Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu 0001, Sthitie Bom. 746-756 [doi]
• FlowDyn: A Dynamic Web-based Streamflow Prediction PipelineN. Humaira, Saber Sadeghi Tabas, S. Samadi, N. C. Hubig. 757-767 [doi]
• Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields ApproachHamed Jalali, Martin Pawelczyk, Gjergji Kasneci. 768-778 [doi]
• Position-based Hash Embeddings For Scaling Graph Neural NetworksMaria Kalantzi, George Karypis. 779-789 [doi]
• HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine LearningAswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal. 790-800 [doi]
• 2Out: Detecting and Ranking Generalized AnomaliesMeng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis. 801-811 [doi]
• A Simple Approach to Balance Task Loss in Multi-Task LearningSicong Liang, Chang Deng, Yu Zhang. 812-823 [doi]
• Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial DependenceMingzhe Liu, Bowen Du, Leilei Sun. 824-833 [doi]
• A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial ExamplesGuanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan. 834-846 [doi]
• MixNN: Combating Noisy Labels in Deep Learning by Mixing with Nearest NeighborsYangdi Lu, Wenbo He. 847-856 [doi]
• A Human Mobility Data Driven Hybrid GNN+RNN Based Model For Epidemic PredictionShohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, Joshua Anton. 857-866 [doi]
• Cross-Concatenation: Tackling Uncertainty in Imbalanced Big Data ClassificationHadi Mansourifar, Weidong Shi. 867-875 [doi]
• Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text ClassificationGuanyi Mou, Yichuan Li, Kyumin Lee. 876-887 [doi]
• Feature Hashing with Insertion and Deletion of FeaturesRameshwar Pratap, Suryakant Bhardwaj, Hrushikesh Sudam Sarode, Raghav Kulkarni. 888-898 [doi]
• A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTokLanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang 0002. 899-908 [doi]
• Weather radar echo prediction method based on recurrent convolutional neural networkXiajiong Shen, Kunying Meng, Daojun Han, Kai Zhai, Lei Zhang. 909-916 [doi]
• Faster Depth Estimation for Situational Awareness on Urban StreetsSanjana Srinivas, Mahima Agumbe Suresh. 917-926 [doi]
• c-Eval: A Unified Metric to Evaluate Feature-based Explanations via PerturbationMinh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai. 927-937 [doi]
• Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly DetectionLan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang. 938-947 [doi]
• Logit-based Uncertainty Measure in ClassificationHuiyu Wu, Diego Klabjan. 948-956 [doi]
• Human-like Explanation for Text Classification With Limited Attention SupervisionDongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner. 957-967 [doi]
• Multivariate Hawkes Processes for Incomplete Biased DataZihan Zhou 0003, Mingxuan Sun. 968-977 [doi]
• TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural NetworksMd. Adnan Arefeen, Sumaiya Tabassum Nimi, Md Yusuf Sarwar Uddin, Yugyung Lee. 978-984 [doi]
• RLAC: Random Line Approximation ClusteringPetros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis. 985-993 [doi]
• Variational Open Set Recognition (VOSR)Luke Buquicchio, Walter Gerych, Abdulaziz AlAjaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu. 994-1001 [doi]
• How Shrinking Gradient Noise Helps the Performance of Neural NetworksZhun Deng, Jiaoyang Huang, Kenji Kawaguchi. 1002-1007 [doi]
• Graph Structure-Aware Bi-directional Graph Convolution Model for Semantic Role LabelingWenke Ding, Congcong Zhang, Gaofei Xie, Xiaojie Hu, Xiajiong Shen, Yatian Shen. 1008-1014 [doi]
• Improving Taxonomy-based Categorization with Categorical Graph Neural NetworksTianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang. 1015-1022 [doi]
• Boosting the Training Time of Weakly Coordinated Distributed Machine LearningErika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley. 1023-1029 [doi]
• Graph Compression NetworksTing Guo, Xingquan Zhu 0001, Yang Wang, Fang Chen. 1030-1036 [doi]
• ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency DetectionHaiyang He, Xiaolin Li, Zhihong Wang, Shiguo Huang. 1037-1044 [doi]
• Chronic Respiratory Disease: Risk Modeling Potential and LimitationsAlexander He, Thilanka Munasinghe. 1045-1053 [doi]
• Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding WindowDennis Huynh, Garrett Audet, Nikolay Alabi, Yuan Tian. 1054-1060 [doi]
• Towards building a Bangla text recognition solution with a Multi-Headed CNN architectureMd. Majedul Islam, Avishek Das, Ibna Kowsar, A. K. M. Shahariar Azad Rabby, Nazmul Hasan, Fuad Rahman. 1061-1067 [doi]
• Compressing large sample data for discriminant analysisAlexander F. Lapanowski, Irina Gaynanova. 1068-1076 [doi]
• Session-based Recommendation via Contrastive Learning on Heterogeneous GraphHangyue Li, Xucheng Luo, Qinze Yu, Haoran Wang. 1077-1082 [doi]
• Assessing Deep Neural Networks as Probability EstimatorsYu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu. 1083-1091 [doi]
• Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training?Nikodimos Provatas, Ioannis Konstantinou, Nectarios Koziris. 1092-1101 [doi]
• Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training DataWenting Qi, Charalampos Chelmis. 1102-1108 [doi]
• A Predictive Framework for Multi-Horizon Financial Crises Forecasting using Macro-Economic DataTaruna Seth, Vipin Chaudhary. 1109-1118 [doi]
• cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for ClusteringRadwa El Shawi, Hudson Lekunze, Sherif Sakr. 1119-1126 [doi]
• End-to-End Performance Optimization for Training Streaming Convolutional Neural Networks using Billion-Pixel Whole-Slide ImagesLiang-Wei Tao, An-Fong Hwu, Yu-Jen Huang, Chi-Chung Chen, Chao-Yuan Yeh, Shih-Hao Hung. 1127-1137 [doi]
• A Dropout Style Model Augmentation for Cross Domain Few-Shot LearningPei-Cheng Tu, Hsing-Kuo Pao. 1138-1147 [doi]
• Keyword-based Topic Modeling and Keyword SelectionXingyu Wang, Lida Zhang, Diego Klabjan. 1148-1154 [doi]
• Towards Explainable Visual Emotion UnderstandingYue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu 0001. 1155-1162 [doi]
• Continual Neural Network Model RetrainingXiaofeng Zhu 0004, Diego Klabjan. 1163-1171 [doi]
• Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping ApproachYifan Guo, Qianlong Wang, Tianxi Ji, Xufei Wang, Pan Li 0001. 1172-1182 [doi]
• InterpretableSAD: Interpretable Anomaly Detection in Sequential Log DataXiao Han, He Cheng, Depeng Xu, Shuhan Yuan. 1183-1192 [doi]
• On Exploring Attention-based Explanation for Transformer Models in Text ClassificationShengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher. 1193-1203 [doi]
• A Few Shot Transfer Learning Approach Identifying Private Images With Fast User PersonalizationEdoardo Serra, Sujeet Ayyapureddi, Qudrat E. Alahy Ratul, Anna Cinzia Squicciarini. 1204-1213 [doi]
• Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of ModelsZhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney. 1214-1225 [doi]
• Evaluating Gender-Neutral Training Data for Automated Image CaptioningJack J. Amend, Albatool Wazzan, Richard Souvenir. 1226-1235 [doi]
• Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with TrackingSteven Carrell, Amir Atapour Abarghouei. 1236-1241 [doi]
• Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated LearningXiaolin Chen, Shuai Zhou, Bei Guan, Kai Yang, Hao Fao, Hu Wang, Yongji Wang 0002. 1242-1248 [doi]
• Proposing an Interactive Audit Pipeline for Visual Privacy ResearchJasmine DeHart, Chenguang Xu, Christan Grant, Lisa Egede. 1249-1255 [doi]
• Interpretable Explanations for Probabilistic Inference in Markov LogicKhan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal. 1256-1264 [doi]
• Exploring privacy-enhancing technologies in the automotive value chainGonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow, Johannes Klepsch, André Luckow, Florian Matthes. 1265-1272 [doi]
• Fairness-aware Bandit-based RecommendationWen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil Heffernan. 1273-1278 [doi]
• Zero-day Malware Detection using Threshold-free Autoencoding ArchitectureChiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee 0001, Jinoh Kim. 1279-1284 [doi]
• ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets AugmentationZiyi Kou, Lanyu Shang, Huimin Zeng, Yang Zhang, Dong Wang. 1285-1290 [doi]
• Adversarial representation learning for synthetic replacement of private attributesJohn Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren. 1291-1299 [doi]
• How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics?Cristina Menghini, Aris Anagnostopoulos, Eli Upfal. 1300-1307 [doi]
• Privacy Preserving Text Data Encoding and Topic ModellingDinusha Vatsalan, Raghav Bhaskar, Aris Gkoulalas-Divanis, Dimitrios Karapiperis. 1308-1316 [doi]
• Efficient Huge Page Management with XpageWenqi Cao, Ling LiuS, Gong Su, Arun Iyengar. 1317-1326 [doi]
• Traffic Dispersion by Predicting Traffic Conditions based on Population DistributionHiroto Akatsuka, Yasunori Kamata, Tomohiro Nagata, Naoko Komiya, Makoto Goto, Masayuki Terada. 1327-1336 [doi]
• InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment ProblemMarkel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi. 1337-1348 [doi]
• Scalable Sequence Clustering for Large-Scale Immune Repertoire AnalysisPrem Bhusal, A. K. M. Mubashwir Alam, Keke Chen, Ning Jiang, Jun Xiao. 1349-1358 [doi]
• Context Integrated Relational Spatio-Temporal Resource ForecastingHongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry. 1359-1368 [doi]
• Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural NetworksShengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia. 1369-1379 [doi]
• Parallel Decoders Guided Lexically Constrained Response GenerationDaixuan Cheng, Haifeng Sun, Qi Qi 0001, Jingyu Wang 0001, Yan Qi. 1380-1388 [doi]
• Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning ApproachYun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton. 1389-1398 [doi]
• Attention-augmented Spatio-Temporal Segmentation for Land Cover MappingRahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar 0001. 1399-1408 [doi]
• Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention NetworkHangtao He, Kejiang Ye, Cheng-Zhong Xu 0001. 1409-1417 [doi]
• Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social DeterminantsJames Hicks, Thilanka Munasinghe. 1418-1426 [doi]
• CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network SlicingYongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu. 1427-1437 [doi]
• Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal ModelingChunyi Liu, Hao Feng, Jiang Xu, Zhiwei Tony Qin, Hongtu Zhu. 1438-1448 [doi]
• CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation DomainErick Skorupa Parolin, Yibo Hu, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio. 1449-1459 [doi]
• Discovering Maximal Partial Periodic Patterns in Very Large Temporal DatabasesP. Likitha, Pamalla Veena, R. Uday Kiran, Yukata Watanobe, Koji Zettsu. 1460-1469 [doi]
• Scalable Data Management on Hybrid Memory System for Deep Neural Network ApplicationsWei Rang, Donglin Yang, Zhimin Li, Dazhao Cheng. 1470-1480 [doi]
• A Multi-Platform Analysis of Political News Discussion and Sharing on Web CommunitiesYuping Wang, Savvas Zannettou, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini. 1481-1492 [doi]
• Scientific Formula Retrieval via Tree EmbeddingsZichao Wang 0001, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan. 1493-1503 [doi]
• Concept Drift and Covariate Shift Detection Ensemble with Lagged LabelsYiming Xu, Diego Klabjan. 1504-1513 [doi]
• Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator ApproachDa Yan 0001, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang 0001, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma. 1514-1522 [doi]
• Language-Agnostic and Language-Aware Multilingual Natural Language Understanding for Large-Scale Intelligent Voice Assistant ApplicationDaniel Yue Zhang, Jonathan Hueser, Yao Li, Sarah Campbell. 1523-1532 [doi]
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• IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape dataHongryul Ahn, Inuk Jung, Heejoon Chae, Minsik Oh, Inyoung Kim, Sun Kim. 2791-2800 [doi]
• A Secure and Reusable Software Architecture for Supporting Online Data HarmonizationZlatan Feric, Nicolas Bohm Agostini, Daniel Beene, Antonio J. Signes-Pastor, Yuliya Halchenko, Deborah Watkins, Debra MacKenzie, Margaret Karagas, Justin Manjourides, Akram Alshawabkeh, David R. Kaeli. 2801-2812 [doi]
• Empirical analysis of the residual information needed for image classificationRebecca Leygonie, Guillaume Vimont. 2813-2817 [doi]
• The Influence of Social Factors on Mental Health and Wellbeing during the COVID-19 PandemicAlex Sartain, Mahmoud El-Haj. 2818-2827 [doi]
• Integrating Heterogeneous Data for a Multi-disease Outbreak Detection FrameworkIsmael Villanueva-Miranda, Monika Akbar. 2828-2837 [doi]
• Generalization in Cardiac Image SegmentationZhengjie Xu, Zixiang Zhou, Garrison W. Cottrell, Mai H. Nguyen. 2838-2847 [doi]
• Programmatic Database Language Generation for Big Data ApplicationsHangu Yeo, Elahe Khorasani, Vadim Sheinin, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos. 2848-2856 [doi]
• OnlineDC: Leveraging Temporal Driving Behavior to Facilitate Driver ClassificationHashim Abu-gellban, Yu Zhuang, Long H. Nguyen, Fang Jin, Zhenkai Zhang. 2857-2866 [doi]
• A processing architecture for real-time predictive smart city digital twinsSven van den Berghe. 2867-2874 [doi]
• A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing EnvironmentJohannes Breitenbach, Sara Haileselassie, Christoph Schuerger, Jonas Werner, Ricardo Buettner. 2875-2883 [doi]
• NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility DataDakshak Keerthi Chandra, Jennifer L. Leopold, Yanjie Fu. 2884-2893 [doi]
• BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKSAurora González-Vidal, Paula Gómez-Bernal, José Mendoza-Bernal, Antonio F. Skarmeta. 2894-2900 [doi]
• Predicting Air Ticket Demand using Deep Neural NetworksKodai Imanaka, Chiaki Sakama. 2901-2908 [doi]
• Computational Analysis to Capture Cluster Lifetime DynamicsIvens Portugal, Paulo S. C. Alencar, Donald D. Cowan. 2909-2918 [doi]
• A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway StationJoseph D. Preece, Mohamed Samra, Richard J. Thomas, John M. Easton. 2919-2924 [doi]
• A Year Into the Pandemic: a Passenger Perspective on its Impact at Paris-Charles de Gaulle AirportClara Buire, Geoffrey Scozzaro, Aude Marzuoli, Eric Feron, Daniel Delahaye. 2925-2935 [doi]
• Clustering of Human Movement Trajectories based on Distributional Representations Derived from Bi-directional LSTM Network with Geographical CoordinatesHiroki Tanaka, Takeshi Saga, Satoshi Nakamura 0001. 2936-2940 [doi]
• Fast Machine Learning in Data Science with a Comprehensive Data SummarizationSikder Tahsin Al-Amin, Carlos Ordonez 0001. 2941-2948 [doi]
• Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilitiesWilliam F. Godoy, Andrei T. Savici, Steven E. Hahn, Peter F. Peterson. 2949-2955 [doi]
• Using Neural Networks for Two Dimensional Scientific Data CompressionLucas Hayne, John P. Clyne, Shaomeng Li. 2956-2965 [doi]
• LCTL: Lightweight Compression Template LibraryJuliana Hildebrandt, André Berthold, Dirk Habich, Wolfgang Lehner. 2966-2975 [doi]
• On Large-Scale Matrix-Matrix Multiplication On Compressed StructuresSudhindra Gopal Krishna, Aditya Narasimhan, Sridhar Radhakrishnan, Richard Veras. 2976-2985 [doi]
• Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression TechniquesJinyang Liu, Sihuan Li, Sheng Di, Xin Liang 0001, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello. 2986-2991 [doi]
• Tuning Parallel Data Compression and I/O for Large-scale Earthquake SimulationHoujun Tang, Suren Byna, N. Anders Petersson, David McCallen. 2992-2997 [doi]
• Test Script Generation Based on Hidden Markov Models Learning From User Browsing BehaviorsIzzettin Erdem, Ramazan Faruk Oguz, Erdi Olmezogullari, Mehmet S. Aktas. 2998-3005 [doi]
• A Short Survey on Forest Based Heterogeneous Treatment Effect Estimation Methods: Meta-learners and Specific ModelsHao Jiang, Peng Qi, Jingying Zhou, Jack Zhou, Sharath Rao. 3006-3012 [doi]
• Impact of Attention on Adversarial Robustness of Image Classification ModelsPrachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal. 3013-3019 [doi]
• Efficient heap monitoring tool for memory leak detection and root-cause analysisSeyed Vahid Azhari, Simar Bhamra, Naser Ezzati Jivan, François Tetreault. 3020-3030 [doi]
• WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modelingOceane Bel, Sinjoni Mukhopadhyay, Nathan R. Tallent, Faisal Nawab, Darrell D. E. Long. 3031-3041 [doi]
• Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial NetworksWanghu Chen, Meilin Zhou, Chenhan Zhai, Mengyang Shen, Pengbo Lv, Ali Arshad. 3042-3049 [doi]
• Benchmarking of Quantization Libraries in Popular FrameworksTejas Dubhir, Mayank Mishra, Rekha Singhal. 3050-3055 [doi]
• Understanding the state of the Art in Animal detection and classification using computer vision technologiesGabriel S. Ferrante, Felipe Maciel Rodrigues, Fernando R. H. Andrade, Rudinei Goularte, Rodolfo Ipolito Meneguette. 3056-3065 [doi]
• Energy Efficiency vs. Performance of Analytical Queries: The case of Bitmap Join IndexesIssam Ghabri, Ladjel Bellatreche, Sadok Ben Yahia. 3066-3074 [doi]
• A Decoupled Data Pipeline and its Reliability Assessment: Case Study in Extreme Climatic Humans StudiesCatherine Inibhunu, Jennifer Yeung, Aaron Gates, Bradley Chicoine, Carolyn McGregor. 3075-3084 [doi]
• A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification WorkloadsAndreas Krisilias, Nikodimos Provatas, Nectarios Koziris, Ioannis Konstantinou. 3085-3094 [doi]
• Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud EnvironmentsEdmon Begoli, Seung-Hwan Lim, Sudarshan Srinivasan. 3095-3100 [doi]
• Deep-Learning-as-a-Workflow (DLaaW): An Innovative Approach to Enabling Deep Learning in Scientific WorkflowsJunwen Liu, Ziyun Xiao, Shiyong Lu, Dunren Che. 3101-3106 [doi]
• Performance Optimization of Allreduce Operation for Multi-GPU SystemsAkira Nukada. 3107-3112 [doi]
• On the Potential of Execution Traces for Batch Processing Workload Optimization in Public CloudsDominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen. 3113-3118 [doi]
• Exploratory Data Analysis with Database-backed Dataframes: A Case Study on Airbnb DataPhanwadee Sinthong, Michael J. Carey 0001. 3119-3129 [doi]
• Large-Scale Causality Discovery Analytics as a ServiceXin Wang, Pei Guo, Jianwu Wang. 3130-3140 [doi]
• Training Data Reduction for Performance Models of Data Analytics Jobs in the CloudJonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen. 3141-3146 [doi]
• Programming Languages in Data Science: a Comparison from a Database AngleXiantian Zhou, Carlos Ordonez 0001. 3147-3154 [doi]
• Two-Stage Image Dehazing with Depth Information and Cross-Scale Non-Local AttentionLu Cheng, Li Zhao. 3155-3162 [doi]
• SOF: A Synthetic Occluded Face DatasetMengmeng Duan, Yan Wang, Lurui Jin, Yuan Wu. 3163-3169 [doi]
• NTU-DensePose: A New Benchmark for Dense Pose Action RecognitionMengmeng Duan, Haoyue Qiu, Zimo Zhang, Yuan Wu. 3170-3175 [doi]
• Multi-input-output Fusion Attention Module for Deblurring NetworksYiqing Fan, Chaoqun Hong, Xiaodong Wang, Zhiqiang Zeng, Zetian Guo. 3176-3182 [doi]
• CPQN: Central Product Quantization Network for Semi-supervised Image RetrievalZetian Guo, Chaoqun Hong, Weiwei Zhuang, Keshou Wu, Yiqing Fan. 3183-3190 [doi]
• Unsupervised Learning Boost Person Re-identification and Real World ApplicationYangsheng Lin, Kai Yan, Xiangcheng Du, Yining Lin, Yao Peng. 3191-3196 [doi]
• The anomaly segmentation via dynamic branch fusionZihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma. 3197-3202 [doi]
• MOtion Human Parsing: A New Benchmark for 3D Human ParsingBingyu Tang, Chao Jin, Dongliang Zhang, Quanshi Zheng. 3203-3208 [doi]
• WRDI: A Multimodal Dataset of mmWave Radar Data and ImageZhongce Wang, Chao Jin, Lingzhang Sun, Yunfan Li. 3209-3214 [doi]
• MH Pose: 3D Human Pose Estimation based on High-quality HeatmapHuifen Zhou, Chaoqun Hong, Yong Han, Pengcheng Huang, Yanhui Zhuang. 3215-3222 [doi]
• FESTH: Visual Tracking with Feature Enhancement and Space-time History Frame NetworksYanhui Zhuang, Chaoqun Hong, Xuebai Zhang, Chaohui Tang, Huifen Zhou. 3223-3230 [doi]
• Prediction of Adult Chronic Kidney Disease with Class-Imbalanced DatasetsCuiling Zhu, Jiucun Yuan, Chengwei Yang. 3231-3238 [doi]
• Research on Quality Prediction of Typical Workpieces Based on Feature Recombination and XGBoost AlgorithmYaoyao Fan, Xingfen Wang, Yahui Liu, Zhulu Xu. 3239-3245 [doi]
• How Does Movie Production Determine Box Office? Tests of Mediation and Moderation EffectsLin Huo, Weijia Jin. 3246-3253 [doi]
• Risk identification and default time analysis of corporate bondsYang-Guang Li, Mu-Ran Yu, Lu-Xi Li, Han Han, Ying Liu. 3254-3258 [doi]
• Predicting the next stage of China's household sustainable energy consumption research based on a comparative knowledge graph analysis between China and foreign countriesLi Li, Yiming Yuan, Fang Liu, Jianjun Wang. 3259-3266 [doi]
• Financial Forecasting with Clustering Guided ModelingUrjitkumar Patel, Lisa Kim, Antony Papadimitriou. 3267-3273 [doi]
• Temporal and Spatial Attention Network Model Based Evolution Model for Bulk Commodity Price Fluctuation RiskZhang Wenjing, Zhao Gang. 3284-3289 [doi]
• Cybersecurity Knowledge Graph Improvement with Graph Neural NetworksSoham Dasgupta, Aritran Piplai, Priyanka Ranade, Anupam Joshi. 3290-3297 [doi]
• Machine Learning Approaches for Authorship Attribution using Source Code StylometrySophia F. Frankel, Krishnendu Ghosh. 3298-3304 [doi]
• A Systematic Literature Review of Data Privacy Solutions for Smart Meter TechnologiesJan Gross, Johannes Breitenbach, Waldemar Granson, Daniel Japs, Ardi Reci, Aaron Koengeter, Ricardo Buettner. 3305-3310 [doi]
• Colab Cloud Based Portable and Shareable Hands-on Labware for Machine Learning to CybersecurityDan C. Lo, Hossain Shahriar, Kai Qian, Michael Whitman, Fan Wu 0013. 3311-3315 [doi]
• Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge GraphsShaswata Mitra, Aritran Piplai, Sudip Mittal, Anupam Joshi. 3316-3323 [doi]
• Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential PrivacyLaylon Mokry, Paul Slife, Patrick Bishop, Jose Quiroz, Cooper Guzzi, Zhiyuan Chen, Adina Crainiceanu, Don Needham. 3324-3333 [doi]
• CyBERT: Contextualized Embeddings for the Cybersecurity DomainPriyanka Ranade, Aritran Piplai, Anupam Joshi, Tim Finin. 3334-3342 [doi]
• Evaluating Model Robustness to Adversarial Samples in Network Intrusion DetectionMadeleine Schneider, David Aspinall 0001, Nathaniel D. Bastian. 3343-3352 [doi]
• Identifying Protection Motivation Theory Factors that Influence Smartphone Security MeasuresMarvin Schneider, Shawon Rahman. 3353-3359 [doi]
• Detection of Newly Registered Malicious Domains through Passive DNSMarcos Rogério Silveira, Leandro Marcos da Silva, Adriano Mauro Cansian, Hugo Koji Kobayashi. 3360-3369 [doi]
• Detection of Malicious Webpages Using Deep LearningA. K. Singh, Navneet Goyal. 3370-3379 [doi]
• Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine LearningYusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha. 3380-3389 [doi]
• Autoencoder-based Anomaly Detection in Smart Farming EcosystemMary Adkisson, Jeffrey C. Kimmell, Maanak Gupta, Mahmoud Abdelsalam. 3390-3399 [doi]
• An Ontological Knowledge Representation for Smart AgricultureBikram Pratim Bhuyan, Ravi Tomar, Maanak Gupta, Amar Ramdane-Cherif. 3400-3406 [doi]
• Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case StudyAsanee Kawtrakul, Hutchatai Chanlekha, Kitsana Waiyamai, Thanapat Kangkachit, Laurent d'Orazio, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos. 3407-3415 [doi]
• Blockchain Based Farm-to-Fork Supply Chain TrackingKendall Land, Ambareen Siraj. 3416-3425 [doi]
• A systematic review of traceability issues in beef supply chain managementOratile Leteane, Yirsaw Ayalew, Tshiamo Motshegwa. 3426-3435 [doi]
• RDNet: Deep Learning Model for Predicting pH H20 and pHKCl from Soil Vis-NIR SpectraVung Pham, David C. Weindorf, Tommy Dang. 3436-3445 [doi]
• How can we collect satisfactory answers in art appreciation experiment?Akinori Abe, Kotaro Fukushima. 3446-3455 [doi]
• Data Distribution and Competition Law IssuesKoki Arai. 3456-3460 [doi]
• The Impact of Decentralized Identity Architecture on Data ExchangeYoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima. 3461-3465 [doi]
• Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 DatasetTeruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami, Hiroki Sakaji, Hiroyasu Matsushima. 3466-3471 [doi]
• Supporting Test Case Design on Reasoning Scheme with Natural Language Processing TechniqueNoriyuki Kushiro, Yusuke Ogata. 3472-3479 [doi]
• Retrieving of Data Similarity using Metadata on a Data Analysis Competition PlatformHiroki Sakaji, Teruaki Hayashi, Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima, Kiyoshi Izumi. 3480-3485 [doi]
• Market Trend Analysis Using Polarity Index Generated from Analyst ReportsRei Taguchi, Hikaru Watanabe, Masanori Hirano 0001, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu. 3486-3494 [doi]
• A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract BidsNaoki Watanabe. 3495-3499 [doi]
• A Rival Recommendation Approach for Acoustic AR Running Support System Considering the Athletic Ability of UsersRyusei Arisawa, Panote Siriaraya, Da Li, Kazutoshi Sumiya, Yukiko Kawai, Shinsuke Nakajima. 3500-3502 [doi]
• BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question AnsweringYuhao Chen, Farhana H. Zulkernine. 3503-3510 [doi]
• An Alert Notification Subsystem for AI Based Clinical Decision Support: A Protoype in NICUCatherine Inibhunu, Carolyn McGregor, James Edward Pugh. 3511-3518 [doi]
• Development of Prototype System to Generate Chronological Response Scenario Dataset by Assembling Multi-responders' Action Logs at Past DisasterMunenari Inoguchi. 3519-3521 [doi]
• Editors-in-the-loop News Article Summarization Framework with Sentence Selection and CompressionShotaro Ishihara, Yuta Matsuda, Norihiko Sawa. 3522-3524 [doi]
• Adaptive Budget Allocation for Cooperative Task Solving in CrowdsourcingYuya Itoh, Shigeo Matsubara. 3525-3533 [doi]
• A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowdsRina Kagawa, Yukino Baba, Hideo Tsurushima. 3534-3543 [doi]
• A Skill-based Worksharing Approach for Microtask AssignmentKanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima. 3544-3547 [doi]
• Visualization for enabling human-in-the-loop in trace clustering-based process mining tasksThais Rodrigues Neubauer, Glaucia Pamponet Sobrinho, Marcelo Fantinato, Sarajane Marques Peres. 3548-3556 [doi]
• BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching FrameworkNaofumi Osawa, Hiroyoshi Ito, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima. 3557-3565 [doi]
• A Method to Correct Perspective Distortion of Ground Area without Camera ParametersHisatoshi Toriya, Ashraf Dewan, Itaru Kitahara. 3566-3567 [doi]
• Spammer Detection Based on Task Completion Time Variation in CrowdsourcingAyato Watanabe, Keishi Tajima. 3568-3570 [doi]
• An Explainable Person-Job Fit Model Incorporating Structured InformationYunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang. 3571-3579 [doi]
• Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local InformationYing Zhong, Masaki Kobayashi, Masaki Matsubara, Atsuyuki Morishima. 3580-3583 [doi]
• Automated Kernel Search for Gaussian Processes on Data StreamsJan David Hüwel, Fabian Berns, Christian Beecks. 3584-3588 [doi]
• Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution DataTuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu. 3589-3594 [doi]
• Context-Aware Data Analytics Variability in IoT Neural Network-Based SystemsNathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan. 3595-3600 [doi]
• Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution PredictionDo Van Nguyen, Koji Zettsu. 3601-3608 [doi]
• Deep Learning Framework For Internet Of Things For People With DisabilitiesSyed Jawad Hussain Shah, Ahmed Awad Albishri, Yugyung Lee. 3609-3614 [doi]
• Lightweight video analytics for cycle time detection in manufacturingAndrew Walker, Daisuke Maeda, Joydeep Acharya. 3615-3618 [doi]
• Improving Transaction Speed and Scalability in Blockchain SystemsJoshua Aaron DeNio, Simone A. Ludwig. 3619-3628 [doi]
• A Complete Privacy-Preserving Credit Score System Using Blockchain and Zero Knowledge ProofYuye Han, Hong Chen, Zhijie Qiu, Lei Luo, Gongbin Qian. 3629-3636 [doi]
• Optimal Copyset in Distributed Object StorageYaoguang Huo, Junfeng Ma, Hui Li, Xin Yang, Han Wang, Xiangzhen Meng. 3637-3645 [doi]
• Distributed file system for rewriting Big Data files using a local-write protocolErico Correia Da Silva, Liria Matsumoto Sato, Edson Toshimi Midorikawa. 3646-3655 [doi]
• A Data Lightweight Scheme for Parallel Proof of Vote ConsensusZixian Wang, Hui Li, Han Wang, Zhenwei Xiao, Ping Lu, Zhenyuan Yang, Minglong Zhang, Peter Han Joo Chong. 3656-3662 [doi]
• Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning AnalysisSheila Alemany, Jason Nucciarone, Niki Pissinou. 3663-3670 [doi]
• Enabling discovery data science through cross-facility workflowsKaterina B. Antypas, Deborah Bard, Johannes P. Blaschke, Shane Richard Canon, Bjoern Enders, Mallikarjun Arjun Shankar, Suhas Somnath, Dale Stansberry, Thomas D. Uram, Sean R. Wilkinson. 3671-3680 [doi]
• Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific DiscoveryAntónio Correia, Benjamim Fonseca, Hugo Paredes, Ramon Chaves, Daniel Schneider, Shoaib Jameel. 3681-3684 [doi]
• Identification of Critical Infrastructure via PageRankBill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chintavali, Sangkeun Matt Lee. 3685-3690 [doi]
• Traffic Study of Shared Micromobility Services by Transportation SimulationJalal Khalil, Da Yan 0001, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku. 3691-3699 [doi]
• Performance of the Gold Standard and Machine Learning in Predicting Vehicle TransactionsAlina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu. 3700-3704 [doi]
• Creating a Tools Ecosystem for Cross-Discipline Environmental Data ReuseJeremy Logan, Greeshma A. Agasthya, Heidi Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia. 3705-3708 [doi]
• Explaining Drug-Discovery Hypotheses Using Knowledge-Graph PatternsKara Schatz, Cleber C. Melo-Filho, Alexander Tropsha, Rada Chirkova. 3709-3716 [doi]
• Fine-Tuning BERT Model for Materials Named Entity RecognitionXintong Zhao, Jane Greenberg, Yuan An, Xiaohua Tony Hu. 3717-3720 [doi]
• A Holistic Spatial Platform For Managing Infectious Diseases, Case Study on COVID-19 PandemicLouai Alarabi, Saleh M. Basalamah, Mohammed Abdalla, Abdeltawab M. Hendawi. 3721-3730 [doi]
• Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural NetworksDivya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence. 3731-3739 [doi]
• Towards a Model-Driven Datacube Analytics LanguagePeter Baumann. 3740-3746 [doi]
• Map4OLAP: A web-based tool for interactive map visualization of OLAP queriesSandro Bimonte, Élodie Edoh-Alove, Fagnine Alassane Coulibaly. 3747-3750 [doi]
• Prioritized Sampling on Knowledge Distillation for Nowcasting Pluvial Flood PredictionRyoma Kondo, Bojian Du, Yoshiaki Narusue, Hiroyuki Morikawa. 3751-3754 [doi]
• Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan AreaYanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto. 3755-3759 [doi]
• Decentralized Storage for Scientific DataShirish Patel, Philip J. Rhodes. 3760-3769 [doi]
• Containerization of Model Fitting Workloads over Spatial DatasetsMenuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara. 3770-3779 [doi]
• A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image CollectionsYifan Zhao, Xian Yang, Ranga Raju Vatsavai. 3780-3783 [doi]
• Topological Segmentation and Tracking for Space Weather ModelingDivya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence. 3784-3788 [doi]
• Adaptive Covers for Mapper Graphs Using Information CriteriaNithin Chalapathi, Youjia Zhou, Bei Wang 0001. 3789-3800 [doi]
• Topological Data Analysis in an Economic Context: Property Tax MapsDavid B. Damiano, Anbo Wu. 3801-3811 [doi]
• Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge TheoryThomas Gebhart, Xiaojun Fu, Russell J. Funk. 3812-3823 [doi]
• The Impact of Changes in Resolution on the Persistent Homology of ImagesTeresa Heiss, Sarah Tymochko, Brittany Story, Adélie Garin, Hoa Bui, Bea Bleile, Vanessa Robins. 3824-3834 [doi]
• Diagnosis of Pediatric Obstructive Sleep Apnea via Face Shape AnalysisMilad Kiaee, Adam Kashalak, Jisu Kim, Giseon Heo, Prachi Loliencar. 3835-3840 [doi]
• Combining Geometric and Topological Information for Boundary EstimationHengrui Luo, Justin Strait. 3841-3852 [doi]
• Topological Learning for Motion Data via Mixed CoordinatesHengrui Luo, Jisu Kim, Alice Patania, Mikael Vejdemo-Johansson. 3853-3859 [doi]
• Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional DataRishi R. Verma, Nicholas O. Malott, Philip A. Wilsey. 3860-3864 [doi]
• Activation Landscapes as a Topological Summary of Neural Network PerformanceMatthew Wheeler, Jose Bouza, Peter Bubenik. 3865-3870 [doi]
• Communication efficient distributed learning of neural networks in Big Data environments using SparkFouad Alkhoury, Dennis Wegener, Karl-Heinz Sylla, Michael Mock. 3871-3877 [doi]
• Coxswain: Guided Data AnalyticsCarlos Garcia-Alvarado. 3878-3882 [doi]
• K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of AgentsHamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta 0001. 3883-3889 [doi]
• Towards Automated Variability-Aware Machine-Learning-Based Modeling AnalysisMaria Cristina Vale Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan. 3890-3896 [doi]
• Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG DataDennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner. 3897-3904 [doi]
• Measles Rash Identification Using Transfer Learning and Deep Convolutional Neural NetworksKimberly Glock, Charlie Napier, Todd Gary, Vibhuti Gupta, Joseph Gigante, William Schaffner, Qingguo Wang. 3905-3910 [doi]
• ISE-YOLO: Improved Squeeze-and-Excitation Attention Module based YOLO for Blood Cells DetectionCong Liu, Dengwang Li, Pu Huang. 3911-3916 [doi]
• FREIDA - Fracture Risk Evaluation using Highly Efficient Information Retrieval and Analysis of Large Healthcare DatasetsAlexandru-Ion Marinescu, Horea-Bogdan Muresan, Alina Delia Calin, Adriana Mihaela Coroiu, Maria Talla. 3917-3922 [doi]
• Cyst segmentation on kidney tubules by means of U-Net deep-learning modelsSimone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola. 3923-3926 [doi]
• R2Net: Recurrent Recalibration Network for Medical Image SegmentationWenbin Wu, Kai Niu 0001, Zhiqiang He. 3927-3935 [doi]
• DRA U-Net: An Attention based U-Net Framework for 2D Medical Image SegmentationXian Zhang, Ziyuan Feng, Tianchi Zhong, Sicheng Shen, Ruolin Zhang, Lijie Zhou, Bo Zhang 0032, Wendong Wang. 3936-3942 [doi]
• MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor SegmentationFan Zhang, Bo Zhang 0032, Zheng Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang. 3943-3949 [doi]
• Rank over Class: The Untapped Potential of Ranking in Natural Language ProcessingAmir Atapour Abarghouei, Stephen Bonner, Andrew Stephen McGough. 3950-3959 [doi]
• Transforming Fake News: Robust Generalisable News Classification Using TransformersCiara Blackledge, Amir Atapour Abarghouei. 3960-3968 [doi]
• A Review of Recent Advances in Machine Learning Approaches for Cyber DefenseRicardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl. 3969-3974 [doi]
• "Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban DrivingJack Stelling, Amir Atapour Abarghouei. 3975-3984 [doi]
• Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM NetworkCahyadi, Matthew Forshaw. 3985-3991 [doi]
• Forecasting Air Pollution using a Modified Compositional Learning ApproachSamuel A. Ajila, Karthik Dilliraj. 3992-4001 [doi]
• Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler ControllingWanghu Chen, Yan Sun, Jing Li, Chenhan Zhai, Pengbo Lv, Shengfang Jin. 4002-4010 [doi]
• Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild?Ryan Curry, Cameron Trotter, A. Stephen McGough. 4011-4020 [doi]
• Top-k User-Based Collaborative Recommendation System Using MapReduceSheheeda Manakkadu, Srijan Prasad Joshi, Tom Halverson, Sourav Dutta. 4021-4025 [doi]
• Survival Analysis and Predictive Maintenance Models for non-sensored Assets in Facilities ManagementGenevieve Moat, Shirley Coleman. 4026-4034 [doi]
• Geospatial Big Data analytics to model the long-term sustainable transition of residential heating worldwideDiego Moya, Sara Giarola, Adam Hawkes. 4035-4046 [doi]
• Multi Scale Graph Wavenet for Wind Speed ForecastingNeetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana. 4047-4053 [doi]
• FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply ChainSrini Bhagavan, Mohamed Gharibi, Praveen Rao 0001. 4054-4063 [doi]
• Automated Counterfactual Generation in Financial Model Risk ManagementJingwei Gan, Shinan Zhang, Chi Zhang, Andy Li. 4064-4068 [doi]
• Predicting family physicians based on their practice using machine learningArunim Garg, David W. Savage, Salimur Choudhury, Vijay Mago. 4069-4077 [doi]
• FederatedTree: A Secure Serverless Algorithm for Federated Learning to Reduce Data LeakageMohamed Gharibi, Srini Bhagavan, Praveen Rao 0001. 4078-4083 [doi]
• Asset Modeling using Serverless ComputingSrideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel 0002, Anuradha Bhamidipaty, Jayant Kalagnanam. 4084-4090 [doi]
• Deployment and Management of Time Series Forecasts in Ocean IndustryFearghal O'Donncha, Albert Akhriev, Bradley Eck, Meredith Burke, Ramón Filgueira, Jon Grant. 4091-4096 [doi]
• TableNN: Deep Learning Framework for Learning Domain Specific Tabular DataPranav Sankhe, Elham Khabiri, Bhavna Agrawal, Yingjie Li. 4097-4102 [doi]
• Correlation and pattern detection in event networksValerio Bellandi, Paolo Ceravolo, Samira Maghool, Margherita Pindaro, Stefano Siccardi. 4103-4112 [doi]
• HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional NetworksAvishek Bose, Huichen Yang, William H. Hsu, Daniel Andresen. 4113-4118 [doi]
• Event-based Product Carousel Recommendation with Query-Click GraphLuyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan. 4119-4125 [doi]
• A Pre-training Oracle for Predicting Distances in Social NetworksGunjan Mahindre, Rasika Karkare, Randy C. Paffenroth, Anura P. Jayasumana. 4126-4135 [doi]
• Drug Abuse Detection in Twitter-sphere: Graph-Based ApproachKhaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Esra Akbas. 4136-4145 [doi]
• Building Graphs at a Large Scale: Union Find ShuffleSaigopal Thota, Mridul Jain, Nishad Kamat, Saikiran Malikireddy, Pruthvi Raj Eranti, Albin Kuruvilla. 4146-4152 [doi]
• Binary Classification Edge Cases in Cyclones Using AlexNet and ResNet Neural NetworksBrendan Donnelly, Thilanka Munasinghe. 4153-4155 [doi]
• Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease OutbreaksEthan Joseph, Thilanka Munasinghe, Heidi Tubbs, Bhaskar Bishnoi, Assaf Anyamba. 4156-4164 [doi]
• Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image dataSharmad Joshi, Jessie Ann Owens, Shlok Shah, Thilanka Munasinghe. 4165-4168 [doi]
• Adapting Deep Learning Models to New Meteorological Contexts Using Transfer LearningPooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal. 4169-4177 [doi]
• Wildfire Occurrence Prediction Using Time Series Classification: A Comparative StudyRyan Laube, Howard J. Hamilton. 4178-4182 [doi]
• Mask R-CNN: Detection Performance on SPEED Spacecraft With Image DegradationGreg Murray, Thirimachos Bourlai, Max Spolaor. 4183-4190 [doi]
• Weakly-Supervised Cloud Detection with Fixed-Point GANsJoachim Nyborg, Ira Assent. 4191-4198 [doi]
• Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding EventsFarshad Safavi, Tashnim Chowdhury, Maryam Rahnemoonfar. 4199-4207 [doi]
• Image Classification to identify Transverse Cirrus Band Clouds using Convolutional Neural NetworksGregory Saini, Thilanka Munasinghe, Kevin Pan. 4208-4210 [doi]
• UAV-VQG: Visual Question Generation Framework on UAV ImagesArgho Sarkar, Maryam Rahnemoonfar. 4211-4219 [doi]
• Entropy Analysis for Clustering Based Lossless Compression of Remotely Sensed ImagesZhaohui Wang. 4220-4223 [doi]
• Clinical gait analysis: a gender medicine perspectiveValentina Agostini. 4224-4226 [doi]
• E-MIMIC: Empowering Multilingual Inclusive CommunicationGiuseppe Attanasio, Salvatore Greco, Moreno La Quatra, Luca Cagliero, Michela Tonti, Tania Cerquitelli, Rachele Raus. 4227-4234 [doi]
• DS4ALL: All you need for democratizing data exploration and analysisPaolo Bethaz, Khalid Belhajjame, Genoveva Vargas-Solar, Tania Cerquitelli. 4235-4242 [doi]
• Star inventors and gender gaps in patented innovationsFederico Caviggioli, Alessandra Colombelli, Chiara Ravetti. 4243-4250 [doi]
• Bayesian model for Fairness in sampling from clustered data and FP-FN error ratesIshani Chakraborty. 4251-4259 [doi]
• Green innovative start-ups and gender sharesAlessandra Colombelli, Anna D'Ambrosio, Chiara Ravetti. 4260-4264 [doi]
• Estimating urban socioeconomic inequalities through airtime top-up transactions dataEduardo Cruz, Carmen Vaca, Mónica Villavicencio. 4265-4272 [doi]
• ASSIST: Article eXtraction and statIstical AnalysiSJustine Fouillé, Thi Lan Huong Nguyen, Baptiste Alix, Brett Becker, Matthieu Rochard, Hélène de Ribaupierre, Laurent d'Orazio. 4273-4276 [doi]
• Demographic Data-driven Deprivation Index for Predicting Chronic DiseasesOlugbenga Iyiola, Monika Akbar. 4277-4286 [doi]
• Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input DataMariachiara Mecati, Antonio Vetrò, Marco Torchiano. 4287-4296 [doi]
• Covid-19 digital Contact-tracing: a doorway to well-being or a backdoor to security vulnerabilities?Nishit Patel, David Cancel, Moitrayee Chatterjee, Md Shahinoor Rahman. 4297-4302 [doi]
• 2: An Interdisciplinary Research Program for SustainabilityJ. David Patón-Romero, Letizia Jaccheri. 4303-4306 [doi]
• Learning Domain-Specific Word Embeddings from COVID-19 TweetsSteve Aibuedefe Aigbe, Christoph Eick. 4307-4312 [doi]
• Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial AnalysisAbdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu. 4313-4322 [doi]
• Compliance with Stay-at-Home Orders During COVID-19Colin Berry. 4323-4326 [doi]
• Unsupervised data mining on spatial-temporal passenger mobility and survey data during Covid-19Philippe Büdinger, Tor-Morten Grønli. 4327-4332 [doi]
• How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic TargetsSerena H. Chen, M. Todd Young, John Gounley, Christopher Stanley, Debsindhu Bhowmik. 4333-4341 [doi]
• Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 OutbreakMehrdad Fazli, Samuel Sklar, Michael D. Porter, Brent A. French, Heman Shakeri. 4342-4349 [doi]
• COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research DynamicsLukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz. 4350-4355 [doi]
• Mobility-based Individual POI Recommendation to Control the COVID-19 SpreadAbhirup Ghosh, Tong Xia. 4356-4364 [doi]
• Course Scheduling to Minimize Student Wait Times For University Buildings During EpidemicsArvin Hekmati, Bhaskar Krishnamachari, Maja J. Mataric. 4365-4370 [doi]
• Characterizing the Online Discourse in Twitter: Users' Reaction to Misinformation around COVID-19 in TwitterNiloofar Kalantari, Duoduo Liao, Vivian Genaro Motti. 4371-4380 [doi]
• Visual Understanding of COVID-19 Knowledge Graph for Predictive AnalysisSeung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok. 4381-4386 [doi]
• Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients LungsJayalakshmi Mangalagiri, Jones Sam Sugumar, Sumeet Menon, David Chapman 0001, Yaacov Yesha, Aryya Gangopadhyay, Yelena Yesha, Phuong Nguyen. 4387-4395 [doi]
• My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost modelShahana Nandy, Vishrut Kumar. 4396-4400 [doi]
• Covid Vaccine Sentiment Analysis by Geographic RegionEbelechukwu Nwafor, Ryan Vaughan, Christopher Kolimago. 4401-4404 [doi]
• Effects of image quality and quantity on building a competitive COVID-19 diagnosis modelPhilippos Skovelef Orfanoudakis, Paraskevi K. Tzouveli, Stefanos D. Kollias. 4405-4410 [doi]
• TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley Mason, Varun Viswanath, Amit Klein 0002, Patrick Kasl, YingJing Wen, Benjamin Smarr, Amarnath Gupta, Ilkay Altintas. 4411-4420 [doi]
• Covid Vaccine Risk StratificationLucas Standaert, Thilanka Munasinghe, Dongyoung Jang, Catherine Tate, Sean Lossef, Wilson Wong. 4421-4425 [doi]
• Applying Machine Learning to Analyze Anti-Vaccination on TweetsMaryam Taeb, Hongmei Chi, Jie Yan. 4426-4430 [doi]
• Scalable Outlier Detection Using Distance ProjectionsJin Cao, Rui Hu. 4431-4440 [doi]
• Approximate High Dimensional Graph Mining With Matrix Polar Factorization: A Twitter ApplicationGeorgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas, Spyros Sioutas. 4441-4449 [doi]
• WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series DataKamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz. 4450-4459 [doi]
• Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics DataMarios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos. 4460-4463 [doi]
• Graph-based Clustering for Time Series DataPeiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi. 4464-4467 [doi]
• Approximate Top-k Inner Product Join with a Proximity GraphHayato Nakama, Daichi Amagata, Takahiro Hara. 4468-4471 [doi]
• Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional DataWenli Sun, Changgee Chang, Qi Long. 4472-4479 [doi]
• Cascaded Dimension Reduction for Effective Anomaly DetectionXiaoyan Zhuo, Aekyeung Moon, Jialing Zhang, Seung Woo Son 0001. 4480-4490 [doi]
• Deep Learning Approach Towards Squat Isolation in a Multi-Embedded Track Geometry DefectsIbrahim Balogun, Mark Leadingham, Dominique Gulliot, Nii O. Attoh-Okine. 4491-4495 [doi]
• Multi-modal Hate Speech Detection using Machine LearningFariha Tahosin Boishakhi, Ponkoj Chandra Shill, Md. Golam Rabiul Alam. 4496-4499 [doi]
• Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural NetworkKetki Gupte, Linsey Pang, Harshada Vuyyuri, Sujitha Pasumarty. 4500-4505 [doi]
• Improving Sign Video Modeling Using Graph Neural NetworkAl Amin Hosain, Huzefa Rangwala, Jana Kosecká. 4506-4513 [doi]
• COVID-19 Multi-Modal Data Analysis with Alexa Voice and Conversational AI Applications : Voice First System Tracking Novel CoronavirusAlex Kaplunovich. 4514-4517 [doi]
• Fingerphoto Presentation Attack Detection: Generalization in SmartphonesEmanuela Marasco, Anudeep Vurity. 4518-4523 [doi]
• ConOffense: Multi-modal multitask Contrastive learning for offensive content identificationDebaditya Shome, T. Kar. 4524-4529 [doi]
• A Re-thinking ASR Modeling Framework using Attention MechanismsChih-Ying Yang, Kuan-Yu Chen. 4530-4536 [doi]
• Predicting Mental Health Problems with Personality, Behavior, and Social NetworksDongyu Zhang, Teng Guo, Shiyu Han, Sadaf Vahabli, Mehdi Naseriparsa, Feng Xia 0001. 4537-4546 [doi]
• Joint time-series learning framework for maximizing purchase order renewalsShubhi Asthana, Pawan Chowdhary, Indervir Singh Banipal, Shikhar Kwatra, Taiga Nakamura. 4547-4550 [doi]
• Dimension Estimation using Second Order data in FinanceNitish Bahadur, Randy C. Paffenroth. 4551-4560 [doi]
• Skills Named-Entity Recognition for Creating a Skill Inventory of Today's WorkplaceGjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov. 4561-4565 [doi]
• Do Candlestick Patterns Work in Cryptocurrency Trading?Kin-Hon Ho, Tse-Tin Chan, Haoyuan Pan, Chin Li. 4566-4569 [doi]
• Contextual Sentence Analysis for the Sentiment Prediction on Financial DataElvys Linhares Pontes, Mohamed Benjannet. 4570-4577 [doi]
• Customer Segmentation Using Mobile Phone Usage Data to Reveal Finance Application User's BehaviorGomathi Sengodan. 4578-4583 [doi]
• Multilingual Financial Word Embeddings for Arabic, English and FrenchNadhem Zmandar, Mahmoud El-Haj, Paul Rayson. 4584-4589 [doi]
• Trustworthy Knowledge Graph Population From Texts for Domain Query AnsweringJing Ao, Swathi Dinakaran, Hongjian Yang, David Wright, Rada Chirkova. 4590-4599 [doi]
• Privacy Preserving Survival PredictionStefano Fedeli, Frida Schain, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov. 4600-4608 [doi]
• Knowledge-Oriented Graph-Based Approach to Capture the Evolution of Developers' KnowledgeEdson Lucas, Toacy Cavalcante de Oliveira, Paulo S. C. Alencar, Donald D. Cowan. 4609-4612 [doi]
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• Knowledge Graph-based Data Transformation Recommendation EngineGarima Natani, Satoru Watanabe. 4617-4623 [doi]
• Latent Learning with pyroMind.2020Vyacheslav N. Romanov. 4624-4627 [doi]
• Knowledge Graph-Empowered Materials DiscoveryXintong Zhao, Jane Greenberg, Scott McClellan, Yong-Jie Hu, Steven Lopez, Semion Saikin, Xiaohua Hu 0001, Yuan An. 4628-4632 [doi]
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• A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks