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| 2025 | Higher-Order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions. Minkyu Kim, Hyun-Soo Choi, Jinho Kim |
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| 2025 | Hypergraph Representation Learning with Adaptive Broadcasting and Receiving. Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye |
| 2025 | IEEE International Conference on Data Mining, ICDM 2025, Washington DC, USA, November 12-15, 2025 |
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| 2025 | Information-Theoretic Active Correlation Clustering. Linus Aronsson, Morteza Haghir Chehreghani |
| 2025 | Interpretable and Interactive Deep Survival Analysis with Time-dependent EXtreme Gradient Integration. Xinyu Qin, Ruiheng Yu, Armin Khayati, Zixiao Qiu, Gengyi Zou, Yan Li, Lu Wang |
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| 2025 | KnobTuneX:LLM-Enhanced Automatic Database Tuning via Structured Reasoning. Jianwen Yang, Qiuhong Zhang, Xinrun Xu, Yurong Wu, Shuo Zhang, Zhiming Ding |
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| 2025 | Layer-Wise Unlearning for Model Adaption in Non-Stationary Environments. Yanbing Zhou, Yimin Wen, Zhanhua Liu, Xiang Liu, Hang Yu, Yikui Zhai |
| 2025 | Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models. Haoyu Tang, Ye Liu, Xi Zhao, Xukai Liu, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen |
| 2025 | Learning from Two-Sample-Averaged Data. Ryuta Matsuno, Akira Kitaoka |
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| 2025 | MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection. Walid Durani, Philipp Jahn, Thomas Seidl, Claudia Plant, Christian Böhm |
| 2025 | MREF: Metric-Based Instance Re-Weighting for Rationale Enhancement. Yibo Huang, Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee |
| 2025 | MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning. Yi Xu, Yitian Zhang, Yun Fu |
| 2025 | Mining Trustworthy Symbolic Regression Models in Federated Settings. Mattia Billa, Veronica Guidetti, Luca La Rocca, Federica Mandreoli |
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| 2025 | Modularity-Fair Deep Community Detection. Christos Gkartzios, Evaggelia Pitoura, Panayiotis Tsaparas |
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| 2025 | Multi Level Vision Language Adapter. Noriaki Kawamae |
| 2025 | Multi-Label Transfer Learning in Non-Stationary Data Streams. Honghui Du, Leandro L. Minku, Aonghus Lawlor, Huiyu Zhou |
| 2025 | Negative-Free Graph Contrastive Learning for Recommendation. Junping Liu, Mingchao Yu, Xinrong Hu, Jie Yang, Yi Guo, Wanqing Li, Wenbin Zhang |
| 2025 | Neural Autoregressive Flows for Markov Boundary Learning. Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen |
| 2025 | OA Kamal Berahmand, Razieh Sheikhpour, Farid Saberi-Movahed, Mahdi Jalili |
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| 2025 | On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models. Shahbaz Rezaei, Avishai Halev, Xin Liu |
| 2025 | On the Relationship Between Populated Regions and Adversarial Robustness in Deep Neural Networks. Seongjin Park, Haedong Jeong, Tair Djanibekov, Giyoung Jeon, Jinseok Seol, Jaesik Choi |
| 2025 | One-Pass Multi-Label Learning with Missing Features and Labels. Jun-Tong Wang, Cun-Yuan Xing, Wei Gao |
| 2025 | Owen-Based Semantics and Hierarchy-Aware Explanation (O-Shap). Xiangyu Zhou, Chenhan Xiao, Yang Weng |
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| 2025 | PiGLeT: Probabilistic Message Passing for Semi-Supervised Link Sign Prediction. Ka Hyun Park, Junghun Kim, Jinhong Jung, U Kang |
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| 2025 | Prompt Learning with Text-Augmented Cues for Out-of-Distribution Detection. Mingxu Feng, Dian Chao, Yuxuan Zhang, Yang Yang, Weili Guo |
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