9 citations · 14 across the 6 of their papers we have counts for
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cs.LG2023★ 3 cited
Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection
Katrina Chen, Mingbin Feng, Tony S. Wirjanto
Time series anomaly detection (TSAD) plays a vital role in many industrial applications. While contrastive learning has gained momentum in the time series domain for its prowess in…
cs.LG2023★ 9 cited
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
Katrina Chen, Mingbin Feng, Tony S. Wirjanto
Anomalies in univariate time series often refer to abnormal values and deviations from the temporal patterns from majority of historical observations. In multivariate time series,…