Xinhong Liu

RTdetector: Deep Transformer Networks for Time Series Anomaly Detection Based on Reconstruction Trend

Anomaly detection in multivariate time series data is critical across a variety of real-life applications. The predominant anomaly detection techniques currently rely on reconstruction-based methods. However, these methods often overfit the abnormal pattern and fail to diagnose the anomaly. Although