| 2023 | Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. | Jiayu He, Matloob Khushi, Tung-Anh Nguyen, Nguyen Hoang Tran |
| 2023 | Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification. | Malik Khizar Hayat, Shan Xue, Jian Yang |
| 2023 | Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging. | Rachel M. Harrison, Anton Dereventsov, Anton Bibin |
| 2023 | Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems. | Tomofumi Hara, Yuki Sumiya, Kazuhide Nakata |
| 2023 | FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation. | Zongzhi Han, Zhonghong Ou, Yifan Zhu, Xiaodong Li, Meina Song |
| 2023 | Debugging Malware Classification Models Based on Event Logs with Explainable AI. | Joon-Young Gwak, Priti Prabhakar Wakodikar, Meng Wang, Guanhua Yan, Xiaokui Shu, Scott D. Stoller, Ping Yang |
| 2023 | Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model. | Pengzhan Guo, Keli Xiao, Hengshu Zhu, Qingxin Meng |
| 2023 | RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. | Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui |
| 2023 | Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation. | Camilo Gomez, Pengyang Wang, Yanjie Fu |
| 2023 | Feedback Decision Transformer: Offline Reinforcement Learning With Feedback. | Liad Giladi, Gilad Katz |
| 2023 | GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. | Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2023 | Cross-Modal Attention Network for Sign Language Translation. | Liqing Gao, Liang Wan, Wei Feng |
| 2023 | Match and Retrieval: Legal Similar Case Retrieval via Graph Matching Network. | Shang Gao, Yanling Li, Fengpei Ge, Min Lin, Haiqing Yu, Sukun Wang, Zhongyi Miao |
| 2023 | SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation. | Lige Gan, Bo Liu, Andrew Meng, Feng Zhang, Guangzhi Qu |
| 2023 | SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. | Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo |
| 2023 | Expert Recommendation Method for Fault Maintenance Based On Industrial Manufacturing Knowledge. | Jiacheng Fu, Jin Tian, Jiacheng Xu, Zhijun Fang |
| 2023 | Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing. | Sichao Fu, Qinmu Peng, Yang He, Baokun Du, Xinge You |
| 2023 | Balancing Summarization and Change Detection in Graph Streams. | Shintaro Fukushima, Kenji Yamanishi |
| 2023 | Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages. | Elisabeth Fischer, Daniel Schlr, Albin Zehe, Andreas Hotho |
| 2023 | Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback. | Wanjin Feng, Hailong Shi, Peilin Zhao, Xingyu Gao |
| 2023 | Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay. | Xiushi Feng, Shuncheng Liu, Haitian Chen, Kai Zheng |
| 2023 | Context Normalization Layer with Applications. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra |
| 2023 | Robustness Certification of k-Nearest Neighbors. | Nicol Fassina, Francesco Ranzato, Marco Zanella |
| 2023 | Concordance Learning with Spectral Decay on Triplet Similarity. | Jiansheng Fang, Jiajian Li |
| 2023 | A TSICN-based Inferential Synthesis Method for Class Imbalance in Credit Scoring. | Dongxu Fan, Xuanzhi Feng, Jinghe Jiang, Yuming Jiang, Le Zhang, Dasha Hu |