| 2024 | Semi-Supervised Isolation Forest for Anomaly Detection. | Luca Stradiotti, Lorenzo Perini, Jesse Davis |
| 2024 | Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification. | Uday Singh Saini, Zhongfang Zhuang, Chin-Chia Michael Yeh, Wei Zhang, Evangelos E. Papalexakis |
| 2024 | Word Embedding with Neural Probabilistic Prior. | Shaogang Ren, Dingcheng Li, Ping Li |
| 2024 | EsaCL: An Efficient Continual Learning Algorithm. | Weijieying Ren, Vasant G. Honavar |
| 2024 | Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. | Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar |
| 2024 | COMBOOD: A Semiparametric Approach for Detecting Out-of-distribution Data for Image Classification. | Magesh Rajasekaran, Md Saiful Islam Sajol, Frej Berglind, Supratik Mukhopadhyay, Kamalika Das |
| 2024 | Multi-polytope Machine for Classification. | Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy |
| 2024 | Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. | Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu |
| 2024 | Towards Tuning-Free Minimum-Volume Nonnegative Matrix Factorization. | Duc Toan Nguyen, Eric C. Chi |
| 2024 | Data Silences: How to Unsilence the Uncertainties in Data Science. | Michael Muller |
| 2024 | YOLO-OCR: End-to-end Compound Figure Separation and Label Recognition of Images in Scientific Publications. | Shuo Meng, Xinshuo Liang, Shuai Zhang, Leqi Lei, Hanbai Wu, Saira Iqbal, Jinlian Hu |
| 2024 | Pretraining Molecules with Explicit Substructure Information. | Yuting Ma, Shuo Yu, Yanming Shen |
| 2024 | Training Sparse Graph Neural Networks via Pruning and Sprouting. | Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey |
| 2024 | HyperFLoRA: Federated Learning with Instantaneous Personalization. | Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li |
| 2024 | Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. | Wang Lu, Jindong Wang, Yidong Wang, Xing Xie |
| 2024 | Identification and Uses of Deep Learning Backbones via Pattern Mining. | Michael J. Livanos, Ian Davidson |
| 2024 | Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. | Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey |
| 2024 | Stable Synthetic Control with Anomaly Detection for Causal Inference. | Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen |
| 2024 | Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes. | Haowen Lin, Yao-Yi Chiang, Li Xiong, Cyrus Shahabi |
| 2024 | Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. | Qingfeng Li, Huifang Ma, Wangyu Jin, Yugang Ji, Zhixin Li |
| 2024 | CausalCDR: Causal Embedding Learning for Cross-domain Recommendation. | Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du |
| 2024 | XGExplainer: Robust Evaluation-based Explanation for Graph Neural Networks. | Ryoji Kubo, Djellel Eddine Difallah |
| 2024 | Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. | Reda Khoufache, Mustapha Lebbah, Hanene Azzag, tienne Goffinet, Djamel Bouchaffra |
| 2024 | Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. | Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia |
| 2024 | Disinformation Detection: An Evolving Challenge in the Age of LLMs. | Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu |