| 2020 | Learning Personal Conscientiousness from Footprints in E-Learning Systems. | Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim |
| 2020 | Probabilistic Neural-Kernel Tensor Decomposition. | Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe |
| 2020 | MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream. | Chang How Tan, Vincent C. S. Lee, Mahsa Salehi |
| 2020 | Adversarial Precision Sensing with Healthcare Applications. | Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou |
| 2020 | Effects of Model Misspecification on Bayesian Bandits Case Studies in UX Optimization. | Mack Sweeney, Matthew van Adelsberg, Kathryn B. Laskey, Carlotta Domeniconi |
| 2020 | A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs. | Susheel Suresh, Jennifer Neville |
| 2020 | Robust Collaborative Learning with Noisy Labels. | Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou |
| 2020 | Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. | Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He |
| 2020 | EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data. | Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, Dmitry Berestnev |
| 2020 | Integration of Fuzzy and Deep Learning in Three-Way Decisions. | L. D. C. S. Subhashini, Yuefeng Li, Jinglan Zhang, Ajantha S. Atukorale |
| 2020 | TopicOcean: An Ever-Increasing Topic Model With Meta-learning. | Yuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, Raymond Chi-Wing Wong |
| 2020 | WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach. | Marco Siino, Marco La Cascia, Ilenia Tinnirello |
| 2020 | Learning from Multi-Class Positive and Unlabeled Data. | Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li |
| 2020 | Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling. | Abhay Shukla, Jairaj Sathyanarayana, Dipyaman Banerjee |
| 2020 | Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties. | Zeren Shui, George Karypis |
| 2020 | A federated learning based approach for loan defaults prediction. | Geet Shingi |
| 2020 | ErGAN: Generative Adversarial Networks for Entity Resolution. | Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm |
| 2020 | NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. | Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang |
| 2020 | Efficient Distributed MST Based Clustering for Recommender Systems. | Ahmad Shahzad, Frans Coenen |
| 2020 | Unsupervised Anomaly Detection on Multisensory Data from Honey Bee Colonies. | Diren Senger, Carolin Johannsen, Alexandros Melemenidis, Alexander Goncharskiy, Thorsten Kluss |
| 2020 | Restructuring of Hoeffding Trees for Trapezoidal Data Streams. | Christian Schreckenberger, Tim Glockner, Heiner Stuckenschmidt, Christian Bartelt |
| 2020 | Mining Heterogeneous Data for Formulation Design. | Krati Saxena, Ashwini Patil, Sagar Sunkle, Vinay Kulkarni |
| 2020 | Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. | Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah |
| 2020 | MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces. | Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brando, Anderson Soares, Renan M. Oliveira, Sandor Caetano |
| 2020 | Synthetic Data by Principal Component Analysis. | Natsuki Sano |