| 2023 | Pluggable Deep Thompson Sampling with Applications to Recommendation. | Lu Wang, Yuhai Song, Zhe Wang, Haoxiang Wang, Yu Li, Weiwei Zhou, Haoming Dang, Mona Shao, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao |
| 2023 | Heterogeneous Graph Contrastive Multi-view Learning. | Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao-Zhi Gao, Shigen Shen |
| 2023 | Deep Contrastive One-Class Time Series Anomaly Detection. | Rui Wang, Chongwei Liu, Xudong Mou, Kai Gao, Xiaohui Guo, Pin Liu, Tianyu Wo, Xudong Liu |
| 2023 | Balancing Task Coverage and Expert Workload in Team Formation. | Karan Vombatkere, Evimaria Terzi |
| 2023 | Probabilistic Decomposition Transformer for Time Series Forecasting. | Junlong Tong, Liping Xie, Kanjian Zhang |
| 2023 | Reinforced EM Algorithm for Clustering with Gaussian Mixture Models. | Joshua Tobin, Chin Pang Ho, Mimi Zhang |
| 2023 | Matrix Profile XXVIII: Discovering Multi-Dimensional Time Series Anomalies with | Sadaf Tafazoli, Eamonn J. Keogh |
| 2023 | Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making. | Jia-Hao Syu, Jerry Chun-Wei Lin, Philip S. Yu |
| 2023 | AlignGraph: A Group of Generative Models for Graphs. | Kimia Shayestehfard, Dana H. Brooks, Stratis Ioannidis |
| 2023 | Probabilistic Inverse Modeling: An Application in Hydrology. | Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar |
| 2023 | Reinforcement Learning Guided Multi-Objective Exam Paper Generation. | Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang |
| 2023 | Missed Opportunities in Fair AI. | Nripsuta Ani Saxena, Wenbin Zhang, Cyrus Shahabi |
| 2023 | ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction. | Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel |
| 2023 | Scalable Batch Acquisition for Deep Bayesian Active Learning. | Aleksandr Rubashevskii, Daria Kotova, Maxim Panov |
| 2023 | Statistically-sound Knowledge Discovery from Data. | Matteo Riondato |
| 2023 | XDC: Adaptive Cross Domain Short Text Clustering. | Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li |
| 2023 | Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. | Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar |
| 2023 | A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation. | Rodrigo Randel, Daniel Aloise, Alain Hertz |
| 2023 | Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection. | Parikshit Ram, Alexander G. Gray, Horst C. Samulowitz, Gregory Bramble |
| 2023 | Multi-state Survival Analysis using Pseudo value-based Deep Neural Networks. | Md Mahmudur Rahman, Sanjay Purushotham |
| 2023 | Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. | Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou |
| 2023 | An Efficient Algorithm for Assessing the Number of | Giulia Punzi, Alessio Conte, Roberto Grossi, Andrea Marino |
| 2023 | A novel reject option applied to sleep stage scoring. | Dries Van der Plas, Wannes Meert, Johan Verbraecken, Jesse Davis |
| 2023 | Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. | Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis |
| 2023 | An Index For Temporal Closeness Computation in Evolving Graphs. | Lutz Oettershagen, Petra Mutzel |