Online Semi-Supervised Concept Drift Detection with Density Estimation. - Chang How Tan; Vincent C. S. Lee; Mahsa Salehi (CoRR, 2019)

MIR_MAD: An Efficient and On-line Approach for Anomaly Detection in Dynamic Data Stream. - Chang How Tan; Vincent C. S. Lee; Mahsa Salehi (ICDM (Workshops), 2020)

A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability. - Chang How Tan; Vincent C. S. Lee; Mahsa Salehi; Slaven Marusic; Srimal Jayawardena; Dion Lucke (ICDM (Workshops), 2021)

Information resources estimation for accurate distribution-based concept drift detection. - Chang How Tan; Vincent C. S. Lee; Mahsa Salehi (Inf. Process. Manag., 2022)

A Unified Framework for Anomaly and Concept Drift Detection with Explainability. - Chang How Tan (2022)

Compliance Analyses of Australia's Online Household Appliances. - Chang How Tan; Vincent C. S. Lee; Jessie Nghiem; Priya Laxman (WSDM, 2023)