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Conference

Probabilistic Adaptive Graph Transformer for Uncertainty-Aware Multivariate Time Series Anomaly Detection

Multivariate time series anomaly detection (MTAD) is important for ensuring reliable operation and improving service quality in industrial systems. Forecasting-based methods have been a primary approach for MTAD, detecting anomalies by assuming that anomalous data points produce higher forecasting errors than normal on...

W. Koo, Heeyoung Kim · 0 citations

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