Self-supervised anomaly detection in computer vision and beyond: A survey and outlook

H Hojjati, TKK Ho, N Armanfard - Neural Networks, 2024 - Elsevier
Anomaly detection (AD) plays a crucial role in various domains, including cybersecurity,
finance, and healthcare, by identifying patterns or events that deviate from normal …

Open-Set Multivariate Time-Series Anomaly Detection

T Lai, TKK Ho, N Armanfard - arXiv preprint arXiv:2310.12294, 2023 - arxiv.org
Numerous methods for time series anomaly detection (TSAD) methods have emerged in
recent years. Most existing methods are unsupervised and assume the availability of normal …