Table of Contents

• Message from the ICDM 2022 Program Committee ChairsXingquan Zhu, Sanjay Ranka. [doi]
• Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding ApproachAgrim Sachdeva, Ben Lazarine, Ruchik Dama, Sagar Samtani, Hongyi Zhu. 1-8 [doi]
• Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in TransformerJianyi Zhang, Yiran Chen 0001, Jianshu Chen. 1-11 [doi]
• Exploiting Cross-Order Patterns and Link Prediction in Higher-Order NetworksHao Tian, Shengmin Jin, Reza Zafarani. 1-9 [doi]
• MetaSieve: Performance vs. Complexity Sieve for Time Series ForecastingPavel Shumkovskii, Anton Kovantsev, Elizaveta Stavinova, Petr Chunaev. 1-10 [doi]
• Mining of Spatiotemporal Trajectory Profiles Derived from Mobility DataMichiel Dhont, Elena Tsiporkova, Nicolás González-Deleito. 1-9 [doi]
• An application of Customer Embedding for ClusteringAhmet Tugrul Bayrak. 1-4 [doi]
• Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic ForecastingLi Song, Kainan Bao, Songyu Ke, Chunyang Li, Junbo Zhang, Yu Zheng 0004. 1-8 [doi]
• A machine learning-based approach for mercury detection in marine watersFrancesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo. 1-10 [doi]
• Simulated Contextual Bandits for Personalization Tasks from Recommendation DatasetsAnton Dereventsov, Anton Bibin. 1-6 [doi]
• Above Ground Biomass Estimation of a Cocoa Plantation using Machine LearningSabrina Sankar, Marvin Lewis, Patrick Hosein. 1-8 [doi]
• VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 DetectionYihan Zhou, Jiali Liu, Zekun Yang, Tianyi Liu, Xinyue Meng, Zhuocheng Zhou, Ali Anaissi, Ali Braytee. 1-9 [doi]
• Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment AnalysisErik Cambria, Rui Mao 0010, Sooji Han, Qian Liu. 1-8 [doi]
• Representing Social Networks as Dynamic Heterogeneous GraphsNegar Maleki, Balaji Padmanabhan, Kaushik Dutta. 1-10 [doi]
• Towards Practical Explainability with Cluster DescriptorsXiaoyuan Liu 0001, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro. 1-10 [doi]
• Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment AnalysisMinqiang Yang, Xinqi Liu, Chengsheng Mao, Bin Hu. 1-8 [doi]
• ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base CompletionPei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu 0001, Dong Yu 0001, Jianshu Chen. 1-6 [doi]
• Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional DataCarina Newen, Emmanuel Müller. 1-8 [doi]
• Domain Adaptation Through Cluster Integration and CorrelationVishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari. 1-8 [doi]
• Simplifying Process Navigations - Divide and Rule waySai Charan Emmadi, Satya Samudrala, Parag Agrawal, Maitreya Natu. 1-7 [doi]
• Zero-shot Object Detection Through Vision-Language Embedding AlignmentJohnathan Xie, Shuai Zheng. 1-15 [doi]
• AWS-EP: A Multi-Task Prediction Approach for MBTI/Big5 Personality TestsFahed Elourajini, Esma Aïmeur. 1-8 [doi]
• Post-pandemic Economic Transformations in the United States of AmericaAvi Chawla, Nidhi Mulay, Mohsen Bahrami, Vikas Bishnoi, Yatin Katyal, Esteban Moro, Ankur Saraswat, Alex Pentland. 1-5 [doi]
• A Multi-Source Information Learning Framework for Airbnb Price PredictionLu Jiang 0007, Yuanhan Li, Na Luo, Jianan Wang, Qiao Ning. 1-7 [doi]
• A Comparison of Ambulance Redeployment Systems on Real-World DataNiklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert. 1-8 [doi]
• Behavioral graph fraud detection in E-commerceHang Yin, Zitao Zhang, Zhurong Wang, Yilmazcan Özyurt, Weiming Liang, Wenyu Dong, Yang Zhao, Yinan Shan. 1-8 [doi]
• Multi-view Representation Learning from Malware to Defend Against Adversarial VariantsJames Lee Hu, MohammadReza Ebrahimi, Weifeng Li 0002, Xin Li 0108, Hsinchun Chen. 1-8 [doi]
• Nearest neighbors with incremental learning for real-time forecasting of electricity demandLaura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso. 1-8 [doi]
• Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer DetectionReza Basiri, Milos R. Popovic, Shehroz S. Khan. 1-5 [doi]
• Large-Scale Sequential Utility Pattern Mining in Uncertain EnvironmentsJimmy Ming-Tai Wu, Shuo Liu, Jerry Chun-Wei Lin. 1-7 [doi]
• Weight-Training Ensemble Model for Stock Price ForecastJianing Zhao, Ayana Takai, Eisuke Kita. 1-6 [doi]
• Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive ModelYuchen Lan, Tram Truong Huu, Jiyan Wu, Sin G. Teo. 1-7 [doi]
• Streaming Traffic Flow Prediction Based on Continuous Reinforcement LearningYanan Xiao, Minyu Liu, Zichen Zhang 0014, Lu Jiang 0007, Minghao Yin, Jianan Wang. 16-22 [doi]
• Augmenting Graph Convolution with Distance Preserving Embedding for Improved LearningGuojing Cong, Seung-Hwan Lim, Steven Young. 23-30 [doi]
• Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image datasetReda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah. 31-38 [doi]
• Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training DynamicsMinkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi. 39-46 [doi]
• cSmartML-Glassbox: Increasing Transparency and Controllability in Automated ClusteringRadwa El Shawi, Sherif Sakr. 47-54 [doi]
• Joint Debiased Representation Learning and Imbalanced Data ClusteringMina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl. 55-62 [doi]
• Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local FusionGuixiang Wang, Hongwei Yin, Wenjun Hu, Yong Liu, Ruiqin Wang. 63-70 [doi]
• User Value in Modern Payment Platforms: A Graph ApproachLaura Arditti, Martino Trevisan, Luca Vassio, Alberto De Lazzari, Alberto Danese. 71-78 [doi]
• Scene and Texture Based Feature Set for DeepFake Video DetectionAmit Neil Ramkissoon, Vijayanandh Rajamanickam, Wayne Goodridge. 90-97 [doi]
• Using spatial data and cluster analysis to automatically detect non-trivial relationships between environmental transgressorsJosé Alberto Sousa Torres, Paulo Henrique dos Santos, Daniel Alves da Silva, Carlos Eduardo Lacerda Veiga, Márcio Bastos Medeiros, Guilherme Fay Verqara, Fábio Lúcio Lopes de Mendonça, Rafael Timóteo de Sousa Júnior. 98-104 [doi]
• Identify malfunctions and their possible causes using rules, application to process miningBenoit Vuillemin, Frédéric Bertrand. 105-112 [doi]
• Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining ProcessesFabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Tom Jacobs, Mahdi Tabassian, Robbert Verbeke, Elena Tsiporkova. 127-136 [doi]
• Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision SystemsFurkan Gursoy, Ioannis A. Kakadiaris. 137-146 [doi]
• FastFlow: AI for Fast Urban Wind Velocity PredictionShi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi. 147-154 [doi]
• Empirical analysis of fairness-aware data segmentationSeiji Okura, Takao Mohri. 155-162 [doi]
• Interpreting Categorical Data Classifiers using Explanation-based LocalityPeyman Rasouli, Ingrid Chieh Yu, Ernesto Jiménez-Ruiz. 163-170 [doi]
• DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender SystemsKriti Kumar, Angshul Majumdar, M. Girish Chandra. 171-179 [doi]
• Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature SpacesFelix Lanfermann, Sebastian Schmitt, Patricia Wollstadt. 180-189 [doi]
• FLAG: Stock Movement Prediction via Fusing Logic and Semantic Graphs of Financial NewsAngela Lil, Jiduan Liu, Yuyong Lil, Fan Meng. 190-197 [doi]
• Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN)Yuxuan Li, Chaoyue Zhao, Chenang Liu. 198-205 [doi]
• A study of automatic speech recognition in Portuguese by the Brazilian General Attorney of the UnionRodrigo Fay Verqara, Paulo Henrique dos Santos, Guilherme Fay Verqara, Fábio Lúcio Lopes de Mendonça, Carlos Eduardo Lacerda Veiga, Bruno Justino Garcia Praciano, Daniel Alves da Silva, Rafael Timóteo de Sousa Júnior. 226-231 [doi]
• SV-Learn: Learning Matrix Singular Values with Neural NetworksDerek Xu, William Shiao, Jia Chen, Evangelos E. Papalexakis. 232-237 [doi]
• MAISON - Multimodal AI-based Sensor platform for Older IndividualsAli Abedi 0006, Faranak Dayyani, Charlene Chu, Shehroz S. Khan. 238-242 [doi]
• Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG)Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani. 248-253 [doi]
• Diagonally Colorized iVAT Images for Labeled DataElizabeth D. Hathaway, Richard J. Hathaway. 254-263 [doi]
• Students Temporal Profiling and e-Learning Resources Recommendation Based on NLP's Terms ExtractionAndré Picado, Anna Carolina Finamore, Ana Moura Santos, Cláudia Antunes. 264-273 [doi]
• Sentence-BERT Distinguishes Good and Bad Essays in Cross-prompt Automated Essay ScoringToru Sasaki, Tomonari Masada. 274-281 [doi]
• Deep Knowledge Tracing with Learning CurvesShanghui Yang, Xin Liu, Hang Su, Mengxia Zhu, Xuesong Lu. 282-291 [doi]
• Online Deep Knowledge TracingWenxin Zhang, Yupei Zhang, Shuhui Liu, Xuequn Shang. 292-297 [doi]
• Programming Knowledge Tracing: A Comprehensive Dataset and A New ModelRenyu Zhu, Dongxiang Zhang, Chengcheng Han 0004, Ming Gaol, Xuesong Lu, Weining Qian, Aoying Zhou. 298-307 [doi]
• HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care ManagementGeorgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett. 316-323 [doi]
• Model Personalization with Static and Dynamic Patients' DataPaul Youssef, Jörg Schlötterer, Sultan Imangaliyev, Christin Seifert. 324-333 [doi]
• Adversarial Removal of Population Bias in Genomics Phenotype PredictionHonggang Zhao, Wenlu Wang. 334-340 [doi]
• U-Net Transfer Learning for Image Restoration on Sparse CT Reconstruction in Pre-Clinical ResearchHuanyi Zhou, Honggang Zhao, Wenlu Wang. 341-348 [doi]
• A Paraphrase Identification Approach in Paragraph Length TextsArwa AL Saqaabi, Eleni C. Akrida, Alexandra I. Cristea, Craig D. Stewart. 358-367 [doi]
• Using Genetic Programming to Identify Probability Distribution behind Data: A Preliminary TrialYang Syu, Chien-Min Wang. 368-377 [doi]
• A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density ClassificationQurrat UI Ain, Bing Xue 0001, Harith Al-Sahaf, Mengjie Zhang 0001. 378-387 [doi]
• Deep Neural Networks and Data Accentuation for Standoff Detection of Dangerous ChemicalsEric Yao, Christopher A. Kendziora, Robert Furstenberg, Christopher J. Breshike, Drew M. Finton, Drew C. Kendziora. 388-394 [doi]
• Linguistic Knowledge Application to Neuro-Symbolic Transformers in Sentiment AnalysisJoanna Baran, Jan Kocon. 395-402 [doi]
• Making Sense of Sentiments for Aesthetic Plastic SurgeryAnand Choudhary, Erik Cambria. 411-418 [doi]
• Compression Methods for Transformers in Multidomain Sentiment AnalysisWojciech Korczynski, Jan Kocon. 419-426 [doi]
• Stress Identification in Online Social NetworksAshok Kumar J, Tina Esther Trueman, Erik Cambria. 427-434 [doi]
• Feature Extraction and Prediction of Combined Text and Survey Data using Two-Staged ModelingAsif Ahmed Neloy, Maxime Turgeon. 435-442 [doi]
• MultiAspectEmo: Multilingual and Language-Agnostic Aspect-Based Sentiment AnalysisJoanna Szolomicka, Jan Kocon. 443-450 [doi]
• Deep Transfer Tensor Factorization for Multi-View LearningPenghao Jiang, Ke Xin, Chunxi Li. 459-466 [doi]
• MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive FusionGuanzhou Ke, Yongqi Zhu, Yang Yu. 467-474 [doi]
• Personalized User Recommendation based on Various User Behavior in Local DomainJunhyung Kim, Yeonghwan Jeon. 475-481 [doi]
• Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility DeviationNaji Alhusaini, Jing Li 0047, Philippe Fournier-Viger, Ammar Hawbani, Guilin Chen. 490-496 [doi]
• Cut the peaches: image segmentation for utility pattern mining in food processingDiletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli. 497-506 [doi]
• Active Keyword Selection to Track Evolving Topics on TwitterSacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany. 507-516 [doi]
• Towards Efficient Discovery of Target High Utility ItemsetsVincent Mwintieru Nofong, Priscilla Owiredu Okai, Hamidu Abdel-Fatao, Selasi Kwashie, Michael Bewong, John Wondoh. 517-526 [doi]
• Mining Valuable Fuzzy Patterns via the RFM ModelYanlin Qi, Fuyin Lai, Guoting Chen, Wensheng Gan. 537-546 [doi]
• Skyline Pattern Mining by Quantity-Utility Constraints in Large-Scale DatabasesJimmy Ming-Tai Wu, Ranran Li, Jerry Chun-Wei Lin. 547-552 [doi]
• EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential PrivacyRouzbeh Behnia, MohammadReza Ebrahimi, Jason Pacheco, Balaji Padmanabhan. 560-566 [doi]
• An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware DetectionMohammadReza Ebrahimi, Weifeng Li 0002, Yidong Chai, Jason Pacheco, Hsinchun Chen. 567-576 [doi]
• Backdoor Poisoning of Encrypted Traffic ClassifiersJohn T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke. 577-585 [doi]
• ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting BehaviorMengmeng Ge, Xiangzhan Yu, Vinay Mysore Sachidananda, Shangqing Liu, Likun Liu. 593-601 [doi]
• Extracting Entities and Events from Cyber-Physical Security Incident ReportsNitin Ramrakhiyani, Sangameshwar Patil, Manideep Jella, Alok Kumar, Girish K. Palshikar. 602-609 [doi]
• AARS: A novel adaptive archive-based efficient counting method for machine learning applicationsSaiib K. Biswas, Pranab K. Muhuri, Uttam K. Roy. 618-625 [doi]
• Polytopal Complex Construction and Use in Persistent HomologyRohit P. Singh, Philip A. Wilsey. 634-641 [doi]
• An Efficient and Reliable Tolerance- Based Algorithm for Principal Component AnalysisMichael Yeh, Ming Gu. 642-649 [doi]
• Unknown Type Streaming Feature Selection via Maximal Information CoefficientPeng Zhou 0008, Yunyun Zhang, Yuanting Yan, Shu Zhao. 650-657 [doi]
• Extensive Attention Mechanisms in Graph Neural Networks for Materials DiscoveryGuojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner. 658-665 [doi]
• SGKD: A Scalable and Effective Knowledge Distillation Framework for Graph Representation LearningYufei He, Yao Ma. 666-673 [doi]
• EnD: Enhanced Dedensification for Graph Compressing and EmbeddingTanvir Hossain, Esra Akbas, Muhammad Ifte Khairul Islam. 674-681 [doi]
• Improving Graph Neural Network with Learnable Permutation PoolingYu Jin, Joseph F. JáJá. 682-689 [doi]
• LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of GraphsEitan Kosman, Joel Oren, Dotan Di Castro. 690-697 [doi]
• HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial AttacksUdesh Kumarasinghe, Mohamed Nabeel, Kasun De Zoysa, Kasun Gunawardana, Charitha Elvitigala. 698-705 [doi]
• Self-Organizing Map-Based Graph Clustering and Visualization on Streaming GraphsPrabin B. Lamichhane, William Eberle. 706-713 [doi]
• Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous GraphsCaihong Mu, Heyuan Huang, Yi Liu 0051, Jiashen Luo. 724-731 [doi]
• Physics-Informed Graph LearningCiyuan Peng, Feng Xia 0001, Vidya Saikrishna, Huan Liu. 732-739 [doi]
• Forecasting Unobserved Node States with spatio-temporal Graph Neural NetworksAndreas Roth, Thomas Liebig. 740-747 [doi]
• Improving Your Graph Neural Networks: A High-Frequency BoosterJiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang. 748-756 [doi]
• Degree-Related Bias in Link PredictionYu Wang 0160, Tyler Derr. 757-758 [doi]
• Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical FusionZhilong Xiong, Jia Cai. 759-768 [doi]
• Efficient Distributed Algorithms for Minimum Spanning Tree in Dense GraphsMohammadHossein Bateni, Morteza Monemzadeh, Kees Voorintholt. 777-786 [doi]
• InQMAD: Incremental Quantum Measurement Anomaly DetectionJoseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González. 787-796 [doi]
• Discovering Unknown Labels for Multi-Label Image ClassificationJun Huang 0003, Yu Yan, Xiao Zheng, Xiwen Qu, Xudong Hong. 797-806 [doi]
• Reconstruction-based unsupervised drift detection over multivariate streaming dataDaniil Kaminskyi, Bin Li, Emmanuel Müller. 807-813 [doi]
• Incremental constrained clustering with application to remote sensing images time seriesBaptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier. 814-823 [doi]
• A study of the Dream Net model robustness across continual learning scenariosMarion Mainsant, Martial Mermillod, Christelle Godin, Marina Reyboz. 824-833 [doi]
• DragStream: An Anomaly And Concept Drift Detector In Univariate Data StreamsAnne Marthe Sophie Ngo Bibinbe, Abdoul Jalil Djiberou Mahamadou, Michael Franklin Mbouopda, Engelbert Mephu Nguifo. 842-851 [doi]
• On Robust Incremental Learning over Many Multilingual StepsKaran Praharaj, Irina Matveeva. 852-859 [doi]
• Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced ManufacturingZhangyue Shi, Yuxuan Li, Chenang Liu. 860-867 [doi]
• Incremental Learning in Time-series Data using Reinforcement LearningMustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani. 868-875 [doi]
• Data-driven Kernel Subspace Clustering with Local Manifold PreservationKunpeng Xu 0002, Lifei Chen, Shengrui Wang. 876-884 [doi]
• Abnormal Entity-Aware Knowledge Graph CompletionKe Sun 0011, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia 0001. 891-900 [doi]
• Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial DebiasingYihe Wang, Mohammad Mahdi Khalili, Xiang Zhang. 901-909 [doi]
• What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & StructureYaman Kumar Singla, Jui Shah, Changyou Chen, Rajiv Ratn Shah. 910-925 [doi]
• STT: Soft Template Tuning for Few-Shot AdaptationPing Yu, Wei Wang 0196, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen. 941-946 [doi]
• A Multi -level Alignment Training Scheme for Video-and-Language GroundingYubo Zhang 0004, Feiyang Niu, Qing-ping, Govind Thattai. 958-966 [doi]
• Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized ContextJulita Bielaniewicz, Kamil Kanclerz, Piotr Milkowski, Marcin Gruza, Konrad Karanowski, Przemyslaw Kazienko, Jan Kocon. 967-974 [doi]
• Multi-purpose Recommender Platform using Perceiver IOAli Cevahir, Kentaro Kanada. 975-978 [doi]
• Learning About People's Attitude Towards Food Available in India and Its Implications for Fair AI-based SystemsHem Chandra Joshi, Utkarsh Yadav, Biplav Srivastava, Ram Manohar Singh. 985-992 [doi]
• Persona-Based Conversational AI: State of the Art and ChallengesJunfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai. 993-1001 [doi]
• ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal CallsBiplav Srivastava, Tarmo Koppel, Sai Teja Paladi, Siva Likitha Valluru, Rohit Sharma, Owen Bond. 1002-1009 [doi]
• Modeling Non-deterministic Human Behaviors in Discrete Food ChoicesAndrew Starnes, Anton Dereventsov, E. Susanne Blazek, Folasade Phillips. 1010-1015 [doi]
• Scalable Joins over Big Data Streams: Actual and Future Research TrendsAlfredo Cuzzocrea. 1016-1019 [doi]
• On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning ApproachShahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan Lavista Ferres. 1029-1036 [doi]
• A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic DataVenkata M. V. Gunturi, Rakesh Rajeev, Vipul Bondre, Aaditya Barnwal, Samir Jain, Ashank Anshuman, Manish Gupta. 1037-1044 [doi]
• Edit distance with Quasi Real Penalties: a hybrid distance for network-constrained trajectoriesNoudéhouénou Lionel Jaderne Houssou, Jean-Loup Guillaume, Armelle Prigent. 1045-1053 [doi]
• Corn Grain Yield Prediction Using UAV-based High Spatiotemporal Resolution Multispectral ImageryPatrick Killeen, Iluju Kiringa, Tet Hin Yeap. 1054-1062 [doi]
• Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar DataJihoon Ko, Kyuhan Lee, Hyunjin Hwang, Kijung Shin. 1063-1070 [doi]
• Distributed LSTM-Learning from Differentially Private Label ProportionsTimon Sachweh, Daniel Boiar, Thomas Liebig. 1071-1078 [doi]
• End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based ReconciliationShiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng. 1087-1094 [doi]
• Macaw: The Machine Learning Magnetometer Calibration WorkflowJonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker 0001, Odei Kao. 1095-1101 [doi]
• Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning MethodsMing Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu 0001. 1102-1110 [doi]
• Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learningSiyan Liu, Dan Lu 0001, Daniel M. Ricciuto, Anthony P. Walker. 1111-1119 [doi]
• A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of StreamflowJuan F. Ramirez Rochac, Nian Zhang, Tolessa Deksissa, Jiajun Xu, Lara A. Thompson. 1120-1127 [doi]
• Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle ExtremesBharat Sharma, Jitendra Kumar 0001, Auroop R. Ganguly, Forrest M. Hoffman. 1136-1143 [doi]
• TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated ClusteringRadwa El Shawi, Sherif Sakr. 1144-1153 [doi]
• Next POI Recommender System: Multi-view Representation Learning for Outstanding Performance in Various ContextYeonghwan Jeon, Junhyung Kim. 1154-1161 [doi]
• A Recommendation System Framework to Generalize AutoRec and Neural Collaborative FilteringRamin Raziperchikolaei, Young-joo Chung. 1162-1167 [doi]
• Disentangling the Information Flood on OSNs: Finding Notable Posts and TopicsPaola Caso, Martino Trevisan, Luca Vassio. 1168-1175 [doi]
• VISUAL ANALYTICS OF MOBILITY NETWORK CHANGES OBSERVED USING MOBILE PHONE DATA DURING COVID-19 PANDEMICMohammad Forghani, Christophe Claramunt, Farid Karimipour, Georg Heiler. 1181-1188 [doi]
• Human Mobility Driven Modeling of an Infectious DiseaseIsmael Villanueva-Miranda, Mahmud Shahriar Hossain, Monika Akbar. 1189-1196 [doi]
• Influence Maximization on Hypergraphs via Similarity-based DiffusionMehmet Emin Aktas, Sidra Jawaid, Ihsan Gokalp, Esra Akbas. 1197-1206 [doi]
• Dynamic Combination of Heterogeneous Models for Hierarchical Time SeriesXing Han, Jing Hu, Joydeep Ghosh. 1207-1216 [doi]
• Hybrid Oversampling Technique Based on Star Topology and Rejection Methodology for Classifying Imbalanced DataChaekyu Lee, Jaekwang Kim. 1217-1226 [doi]
• GPUCSL: GPU-Based Library for Causal Structure LearningTom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser. 1236-1239 [doi]
• TGLib: An Open-Source Library for Temporal Graph AnalysisLutz Oettershagen, Petra Mutzel. 1240-1245 [doi]