Papers [rss]

Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, & Albert Bifet (2025). Machine Learning for Data Streams with CapyMOA. ECML PKDD 2025.
10.1007/978-3-032-06129-4_27

Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, & W. Bastiaan Kleijn (2025). Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP. AAAI 2025.
10.1609/AAAI.V39I17.33986 [PDF] [Source]

Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Yibin Sun, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, & Albert Bifet (2025). CapyMOA: Efficient Machine Learning for Data Streams in Python.
10.48550/ARXIV.2502.07432

William Doherty, Anton Lee, & Heitor Murilo Gomes (2025). CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning.
10.48550/ARXIV.2501.11140

Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, & Bernhard Pfahringer (2023). Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CIKM 2023.
10.1145/3583780.3615236 [PDF] [Source]

Anton Lee, Heitor Murilo Gomes, & Yaqian Zhang (2022). Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning. IJCNN 2022.
10.1109/IJCNN55064.2022.9892055 [PDF] [Source]