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Revisiting Non-separable Binary Classification and its Applications in
  Anomaly Detection
v1v2 (latest)

Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection

3 December 2023
Matthew Lau
Ismaila Seck
Athanasios P. Meliopoulos
Wenke Lee
Eugène Ndiaye
ArXiv (abs)PDFHTML

Papers citing "Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection"

2 / 2 papers shown
Title
Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies
Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies
Gaia Grosso
Sai Sumedh R. Hindupur
Thomas Fel
Samuel Bright-Thonney
Philip Harris
Demba Ba
213
1
0
05 Nov 2025
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Matthew Lau
Tian-Yi Zhou
Xiangchi Yuan
Jizhou Chen
Wenke Lee
Xiaoming Huo
160
0
0
16 Jun 2025
1