Geometric Implications of Classification on Reducing Open Space Risk M Lau, L Pan, S Davidov, AP Meliopoulos, W Lee The Second Tiny Papers Track at ICLR 2024, 2024 | 2 | 2024 |
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection M Lau, I Seck, AP Meliopoulos, W Lee, E Ndiaye Transactions on Machine Learning Research, 2024 | 1 | 2024 |
Physics-Assisted Explainable Anomaly Detection in Power Systems APM Matthew Lau, Fahad Alsaeed, Kayla Thames, Nano Suresettakul, Saman ... 27th European Conference on Artificial Intelligence 392, 4748 - 4755, 2024 | | 2024 |
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice TY Zhou, M Lau, J Chen, W Lee, X Huo arXiv preprint arXiv:2409.08521, 2024 | | 2024 |
Non-Robust Features are Not Always Useful in One-Class Classification M Lau, H Wang, A Helbling, M Hul, SY Peng, M Andreoni, WT Lunardi, ... arXiv preprint arXiv:2407.06372, 2024 | | 2024 |
Active Distribution System Coordinated Control Method via Artificial Intelligence M Lau, K Thames, S Meliopoulos 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022), 2022 | | 2022 |