Matthew Lau

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Rotational Invariant

One Class Support Vector Machines

Binary Classification

Anomaly Detection

Top Venues

Tiny Papers @ ICLR

Trans. Mach. Learn. Res.

Publications

Matthew Lau, Haoran Wang, Alec Helbling, Matthew Hull, Shengyun Peng, Martin Andreoni, Willian T. Lunardi, Wenke Lee
Non-Robust Features are Not Always Useful in One-Class Classification. CoRR (2024)
Matthew Lau, Leyan Pan, Stefan Davidov, Athanasios P. Meliopoulos, Wenke Lee
Geometric Implications of Classification on Reducing Open Space Risk. Tiny Papers @ ICLR (2024)
Matthew Lau, Ismaïla Seck, Athanasios P. Meliopoulos, Wenke Lee, Eugène Ndiaye
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection. Trans. Mach. Learn. Res. 2024 (2024)
Matthew Lau, Ismaïla Seck, Athanasios P. Meliopoulos, Wenke Lee, Eugène Ndiaye
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection. CoRR (2023)
Jin Qi Yeo, Yidi Wang, Shawn Tanary, Jiaxuan Cheng, Matthew Lau, Aik Beng Ng, Frank Guan
AICRID: AI-Empowered CR For Interior Design. ISMAR-Adjunct (2023)
Matthew Lau, Kayla Thames, Sakis Meliopoulos
Active Distribution System Coordinated Control Method via Artificial Intelligence. CoRR (2022)