2 papers
cs.LG2026
Multivariate Time-series Anomaly Detection via Dynamic Model Pool & Ensembling
Wei Hu, Zewei Yu, Jianqiu Xu
Multivariate time-series (MTS) anomaly detection is critical in domains such as service monitor, IoT, and network security. While multi-model methods based on selection or ensembli…
cs.LG2026
A Graph-based Framework for Online Time Series Anomaly Detection Using Model Ensemble
Zewei Yu, Jianqiu Xu, Caimin Li
With the increasing volume of streaming data in industrial systems, online anomaly detection has become a critical task. The diverse and rapidly evolving data patterns pose signifi…