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ICDM 2022: Orlando, FL, USA - Workshops
- K. Selçuk Candan, Thang N. Dinh, My T. Thai, Takashi Washio:
IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE 2022, ISBN 979-8-3503-4609-1 - Xingquan Zhu, Sanjay Ranka
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Message from the ICDM 2022 Program Committee Chairs. xxvii-xxviii - Avi Chawla, Nidhi Mulay, Mohsen Bahrami
Post-pandemic Economic Transformations in the United States of America. 1-5 - Jianyi Zhang, Yiran Chen, Jianshu Chen:
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. 1-11 - Negar Maleki
Representing Social Networks as Dynamic Heterogeneous Graphs. 1-10 - James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. 1-8 - Carina Newen, Emmanuel Müller:
Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data. 1-8 - Yuchen Lan, Tram Truong-Huu, Jiyan Wu, Sin G. Teo:
Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model. 1-7 - Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen:
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. 1-6 - Michiel Dhont, Elena Tsiporkova, Nicolás González-Deleito:
Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data. 1-9 - Pavel Shumkovskii, Anton Kovantsev, Elizaveta Stavinova, Petr Chunaev:
MetaSieve: Performance vs. Complexity Sieve for Time Series Forecasting. 1-10 - Minqiang Yang, Xinqi Liu, Chengsheng Mao, Bin Hu:
Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis. 1-8 - Erik Cambria
Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. 1-8 - Lu Jiang, Yuanhan Li, Na Luo, Jianan Wang, Qiao Ning:
A Multi-Source Information Learning Framework for Airbnb Price Prediction. 1-7 - Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert:
A Comparison of Ambulance Redeployment Systems on Real-World Data. 1-8 - Fahed Elourajini, Esma Aïmeur:
AWS-EP: A Multi-Task Prediction Approach for MBTI/Big5 Personality Tests. 1-8 - Ahmet Tugrul Bayrak
An application of Customer Embedding for Clustering. 1-4 - Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro:
Towards Practical Explainability with Cluster Descriptors. 1-10 - Reza Basiri
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection. 1-5 - Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro
A machine learning-based approach for mercury detection in marine waters. 1-10 - Hao Tian, Shengmin Jin, Reza Zafarani:
Exploiting Cross-Order Patterns and Link Prediction in Higher-Order Networks. 1-9 - Agrim Sachdeva, Ben Lazarine, Ruchik Dama, Sagar Samtani
Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach. 1-8 - Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari:
Domain Adaptation Through Cluster Integration and Correlation. 1-8 - Sabrina Sankar, Marvin Lewis, Patrick Hosein:
Above Ground Biomass Estimation of a Cocoa Plantation using Machine Learning. 1-8 - Hang Yin, Zitao Zhang, Zhurong Wang, Yilmazcan Özyurt, Weiming Liang, Wenyu Dong, Yang Zhao, Yinan Shan:
Behavioral graph fraud detection in E-commerce. 1-8 - Jianing Zhao, Ayana Takai, Eisuke Kita:
Weight-Training Ensemble Model for Stock Price Forecast. 1-6 - Yihan Zhou, Jiali Liu, Zekun Yang, Tianyi Liu, Xinyue Meng, Zhuocheng Zhou, Ali Anaissi, Ali Braytee
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection. 1-9 - Anton Dereventsov, Anton Bibin:
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets. 1-6 - Jimmy Ming-Tai Wu, Shuo Liu, Jerry Chun-Wei Lin
Large-Scale Sequential Utility Pattern Mining in Uncertain Environments. 1-7 - Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso
Nearest neighbors with incremental learning for real-time forecasting of electricity demand. 1-8 - Johnathan Xie, Shuai Zheng:
Zero-shot Object Detection Through Vision-Language Embedding Alignment. 1-15 - Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, Maitreya Natu:
Simplifying Process Navigations - Divide and Rule way. 1-7 - Li Song, Kainan Bao, Songyu Ke
Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting. 1-8 - Yanan Xiao, Minyu Liu, Zichen Zhang, Lu Jiang, Minghao Yin
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning. 16-22 - Guojing Cong, Seung-Hwan Lim, Steven Young:
Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning. 23-30 - Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah
Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. 31-38 - Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. 39-46 - Radwa El Shawi, Sherif Sakr:
cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering. 47-54 - Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl:
Joint Debiased Representation Learning and Imbalanced Data Clustering. 55-62 - Guixiang Wang, Hongwei Yin
Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local Fusion. 63-70 - Laura Arditti, Martino Trevisan, Luca Vassio
User Value in Modern Payment Platforms: A Graph Approach. 71-78 - Amit Neil Ramkissoon, Vijayanandh Rajamanickam, Wayne Goodridge:
Scene and Texture Based Feature Set for DeepFake Video Detection. 90-97 - José 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:
Using spatial data and cluster analysis to automatically detect non-trivial relationships between environmental transgressors. 98-104 - Benoit Vuillemin, Frédéric Bertrand:
Identify malfunctions and their possible causes using rules, application to process mining. 105-112 - Fabian Fingerhut
Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes. 127-136 - Furkan Gursoy, Ioannis A. Kakadiaris:
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems. 137-146 - Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh
FastFlow: AI for Fast Urban Wind Velocity Prediction. 147-154 - Seiji Okura, Takao Mohri:
Empirical analysis of fairness-aware data segmentation. 155-162 - Peyman Rasouli, Ingrid Chieh Yu, Ernesto Jiménez-Ruiz:
Interpreting Categorical Data Classifiers using Explanation-based Locality. 163-170 - Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. 171-179 - Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt:
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. 180-189 - Angela Li, Jiduan Liu, Yuyong Li, Fan Meng:
FLAG: Stock Movement Prediction via Fusing Logic and Semantic Graphs of Financial News. 190-197 - Yuxuan Li, Chaoyue Zhao, Chenang Liu:
Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN). 198-205 - Rodrigo 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:
A study of automatic speech recognition in Portuguese by the Brazilian General Attorney of the Union. 226-231 - Derek Xu, William Shiao, Jia Chen, Evangelos E. Papalexakis:
SV-Learn: Learning Matrix Singular Values with Neural Networks. 232-237 - Ali Abedi, Faranak Dayyani, Charlene H. Chu, Shehroz S. Khan:
MAISON - Multimodal AI-based Sensor platform for Older Individuals. 238-242 - Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani:
Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). 248-253 - Elizabeth D. Hathaway, Richard J. Hathaway:
Diagonally Colorized iVAT Images for Labeled Data. 254-263 - André Picado, Anna Carolina Finamore, Ana Moura Santos
Students Temporal Profiling and e-Learning Resources Recommendation Based on NLP's Terms Extraction. 264-273 - Toru Sasaki
Sentence-BERT Distinguishes Good and Bad Essays in Cross-prompt Automated Essay Scoring. 274-281 - Shanghui Yang, Xin Liu, Hang Su, Mengxia Zhu, Xuesong Lu:
Deep Knowledge Tracing with Learning Curves. 282-291 - Wenxin Zhang, Yupei Zhang, Shuhui Liu, Xuequn Shang:
Online Deep Knowledge Tracing. 292-297 - Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou:
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. 298-307 - Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. 316-323 - Paul Youssef
Model Personalization with Static and Dynamic Patients' Data. 324-333 - Honggang Zhao, Wenlu Wang:
Adversarial Removal of Population Bias in Genomics Phenotype Prediction. 334-340 - Huanyi Zhou, Honggang Zhao, Wenlu Wang:
U-Net Transfer Learning for Image Restoration on Sparse CT Reconstruction in Pre-Clinical Research. 341-348 - Arwa Al Saqaabi, Eleni C. Akrida, Alexandra I. Cristea, Craig D. Stewart:
A Paraphrase Identification Approach in Paragraph Length Texts. 358-367 - Yang Syu, Chien-Min Wang:
Using Genetic Programming to Identify Probability Distribution behind Data: A Preliminary Trial. 368-377 - Qurrat Ul Ain
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. 378-387 - Eric Yao, Christopher A. Kendziora, Robert Furstenberg, Christopher J. Breshike, Drew M. Finton, Drew C. Kendziora:
Deep Neural Networks and Data Accentuation for Standoff Detection of Dangerous Chemicals. 388-394 - Joanna Baran, Jan Kocon
Linguistic Knowledge Application to Neuro-Symbolic Transformers in Sentiment Analysis. 395-402 - Anand Choudhary
Making Sense of Sentiments for Aesthetic Plastic Surgery. 411-418 - Wojciech Korczynski, Jan Kocon
Compression Methods for Transformers in Multidomain Sentiment Analysis. 419-426 - Ashok Kumar J, Tina Esther Trueman, Erik Cambria
Stress Identification in Online Social Networks. 427-434 - Asif Ahmed Neloy, Maxime Turgeon
Feature Extraction and Prediction of Combined Text and Survey Data using Two-Staged Modeling. 435-442 - Joanna Szolomicka, Jan Kocon
MultiAspectEmo: Multilingual and Language-Agnostic Aspect-Based Sentiment Analysis. 443-450 - Penghao Jiang, Ke Xin, Chunxi Li:
Deep Transfer Tensor Factorization for Multi-View Learning. 459-466 - Guanzhou Ke
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion. 467-474 - Junhyung Kim, Yeonghwan Jeon:
Personalized User Recommendation based on Various User Behavior in Local Domain. 475-481 - Naji Alhusaini, Jing Li, Philippe Fournier-Viger, Ammar Hawbani, Guilin Chen:
Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation. 490-496 - Diletta Chiaro
Cut the peaches: image segmentation for utility pattern mining in food processing. 497-506 - Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany:
Active Keyword Selection to Track Evolving Topics on Twitter. 507-516 - Vincent Mwintieru Nofong, Priscilla Owiredu Okai, Hamidu Abdel-Fatao, Selasi Kwashie
Towards Efficient Discovery of Target High Utility Itemsets. 517-526 - Yanlin Qi, Fuyin Lai, Guoting Chen, Wensheng Gan:
Mining Valuable Fuzzy Patterns via the RFM Model. 537-546 - Jimmy Ming-Tai Wu, Ranran Li, Jerry Chun-Wei Lin
Skyline Pattern Mining by Quantity-Utility Constraints in Large-Scale Databases. 547-552 - Rouzbeh Behnia, MohammadReza Ebrahimi, Jason Pacheco, Balaji Padmanabhan:
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. 560-566 - MohammadReza Ebrahimi, Weifeng Li
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. 567-576 - John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke:
Backdoor Poisoning of Encrypted Traffic Classifiers. 577-585 - Mengmeng Ge
ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior. 593-601 - Nitin Ramrakhiyani, Sangameshwar Patil, Manideep Jella, Alok Kumar, Girish K. Palshikar:
Extracting Entities and Events from Cyber-Physical Security Incident Reports. 602-609 - Sajib K. Biswas
AARS: A novel adaptive archive-based efficient counting method for machine learning applications. 618-625 - Rohit P. Singh, Philip A. Wilsey:
Polytopal Complex Construction and Use in Persistent Homology. 634-641 - Michael Yeh, Ming Gu:
An Efficient and Reliable Tolerance- Based Algorithm for Principal Component Analysis. 642-649 - Peng Zhou, Yunyun Zhang, Yuanting Yan, Shu Zhao:
Unknown Type Streaming Feature Selection via Maximal Information Coefficient. 650-657 - Guojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner:
Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery. 658-665 - Yufei He, Yao Ma:
SGKD: A Scalable and Effective Knowledge Distillation Framework for Graph Representation Learning. 666-673 - Tanvir Hossain, Esra Akbas
EnD: Enhanced Dedensification for Graph Compressing and Embedding. 674-681 - Yu Jin, Joseph F. JáJá:
Improving Graph Neural Network with Learnable Permutation Pooling. 682-689 - Eitan Kosman, Joel Oren, Dotan Di Castro:
LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs. 690-697 - Udesh Kumarasinghe, Mohamed Nabeel, Kasun De Zoysa
HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks. 698-705 - Prabin B. Lamichhane, William Eberle:
Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs. 706-713 - Caihong Mu, Heyuan Huang, Yi Liu, Jiashen Luo:
Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs. 724-731 - Ciyuan Peng, Feng Xia, Vidya Saikrishna
Physics-Informed Graph Learning. 732-739 - Andreas Roth, Thomas Liebig
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. 740-747 - Jiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang
Improving Your Graph Neural Networks: A High-Frequency Booster. 748-756 - Yu Wang, Tyler Derr
Degree-Related Bias in Link Prediction. 757-758 - Zhilong Xiong, Jia Cai:
Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical Fusion. 759-768 - MohammadHossein Bateni, Morteza Monemizadeh, Kees Voorintholt:
Efficient Distributed Algorithms for Minimum Spanning Tree in Dense Graphs. 777-786 - Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
InQMAD: Incremental Quantum Measurement Anomaly Detection. 787-796 - Jun Huang, Yu Yan, Xiao Zheng, Xiwen Qu, Xudong Hong:
Discovering Unknown Labels for Multi-Label Image Classification. 797-806 - Daniil Kaminskyi, Bin Li, Emmanuel Müller:
Reconstruction-based unsupervised drift detection over multivariate streaming data. 807-813 - Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier:
Incremental constrained clustering with application to remote sensing images time series. 814-823 - Marion Mainsant, Martial Mermillod, Christelle Godin, Marina Reyboz:
A study of the Dream Net model robustness across continual learning scenarios. 824-833 - Anne Marthe Sophie Ngo Bibinbe, Abdoul Jalil Djiberou Mahamadou
DragStream: An Anomaly And Concept Drift Detector In Univariate Data Streams. 842-851 - Karan Praharaj, Irina Matveeva:
On Robust Incremental Learning over Many Multilingual Steps. 852-859 - Zhangyue Shi, Yuxuan Li, Chenang Liu:
Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing. 860-867 - Mustafa Shuqair
Incremental Learning in Time-series Data using Reinforcement Learning. 868-875 - Kunpeng Xu
Data-driven Kernel Subspace Clustering with Local Manifold Preservation. 876-884 - Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia:
Abnormal Entity-Aware Knowledge Graph Completion. 891-900 - Yihe Wang
Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing. 901-909 - Yaman Kumar Singla
What Do Audio Transformers Hear? Probing Their Representations For Language Delivery & Structure. 910-925 - Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen:
STT: Soft Template Tuning for Few-Shot Adaptation. 941-946 - Yubo Zhang, Feiyang Niu, Qing Ping, Govind Thattai:
A Multi -level Alignment Training Scheme for Video-and-Language Grounding. 958-966 - Julita Bielaniewicz, Kamil Kanclerz, Piotr Milkowski, Marcin Gruza, Konrad Karanowski, Przemyslaw Kazienko
Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized Context. 967-974 - Ali Cevahir, Kentaro Kanada:
Multi-purpose Recommender Platform using Perceiver IO. 975-978 - Hem Chandra Joshi
Learning About People's Attitude Towards Food Available in India and Its Implications for Fair AI-based Systems. 985-992 - Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
Persona-Based Conversational AI: State of the Art and Challenges. 993-1001 - Biplav Srivastava, Tarmo Koppel, Sai Teja Paladi, Siva Likitha Valluru, Rohit Sharma, Owen Bond:
ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls. 1002-1009 - Andrew Starnes, Anton Dereventsov, E. Susanne Blazek
Modeling Non-deterministic Human Behaviors in Discrete Food Choices. 1010-1015 - Alfredo Cuzzocrea:
Scalable Joins over Big Data Streams: Actual and Future Research Trends. 1016-1019 - Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan Lavista Ferres:
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. 1029-1036 - Venkata M. V. Gunturi
A Case Study on Periodic Spatio- Temporal Hotspot Detection in Azure Traffic Data. 1037-1044 - Noudéhouénou Lionel Jaderne Houssou, Jean-Loup Guillaume
Edit distance with Quasi Real Penalties: a hybrid distance for network-constrained trajectories. 1045-1053 - Patrick Killeen, Iluju Kiringa, Tet Hin Yeap:
Corn Grain Yield Prediction Using UAV-based High Spatiotemporal Resolution Multispectral Imagery. 1054-1062 - Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Kijung Shin:
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data. 1063-1070 - Timon Sachweh
Distributed LSTM-Learning from Differentially Private Label Proportions. 1071-1078 - Shiyu Wang
End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation. 1087-1094 - Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao:
Macaw: The Machine Learning Magnetometer Calibration Workflow. 1095-1101 - Ming Fan
Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods. 1102-1110 - Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker
Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning. 1111-1119 - Juan F. Ramirez Rochac, Nian Zhang
A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of Streamflow. 1120-1127 - Bharat Sharma
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. 1136-1143 - Radwa El Shawi, Sherif Sakr:
TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering. 1144-1153 - Yeonghwan Jeon, Junhyung Kim:
Next POI Recommender System: Multi-view Representation Learning for Outstanding Performance in Various Context. 1154-1161 - Ramin Raziperchikolaei, Young-joo Chung:
A Recommendation System Framework to Generalize AutoRec and Neural Collaborative Filtering. 1162-1167 - Paola Caso, Martino Trevisan, Luca Vassio
Disentangling the Information Flood on OSNs: Finding Notable Posts and Topics. 1168-1175 - Mohammad Forghani, Christophe Claramunt, Farid Karimipour, Georg Heiler:
VISUAL ANALYTICS OF MOBILITY NETWORK CHANGES OBSERVED USING MOBILE PHONE DATA DURING COVID-19 PANDEMIC. 1181-1188 - Ismael Villanueva-Miranda, Mahmud Shahriar Hossain, Monika Akbar
Human Mobility Driven Modeling of an Infectious Disease. 1189-1196 - Mehmet Emin Aktas
Influence Maximization on Hypergraphs via Similarity-based Diffusion. 1197-1206 - Xing Han, Jing Hu, Joydeep Ghosh:
Dynamic Combination of Heterogeneous Models for Hierarchical Time Series. 1207-1216 - Chaekyu Lee, Jaekwang Kim:
Hybrid Oversampling Technique Based on Star Topology and Rejection Methodology for Classifying Imbalanced Data. 1217-1226 - Tom Braun, Ben Hurdelhey, Dominik Meier, Petr Tsayun, Christopher Hagedorn, Johannes Huegle, Rainer Schlosser
GPUCSL: GPU-Based Library for Causal Structure Learning. 1236-1239 - Lutz Oettershagen, Petra Mutzel
TGLib: An Open-Source Library for Temporal Graph Analysis. 1240-1245
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