most citedAn Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection

Jun Zhan, Chengkun Wu, Canqun Yang +2

Network or physical attacks on industrial equipment or computer systems may cause massive losses. Therefore, a quick and accurate anomaly detection (AD) based on monitoring data, e…

cs.LG2022★ 2 cited

An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection

Qiucheng Miao, Chuanfu Xu, Jun Zhan +2

Anomaly detection of multivariate time series is meaningful for system behavior monitoring. This paper proposes an anomaly detection method based on unsupervised Short- and Long-te…