patterns that defy straightforward modelling. In this paper, we propose a novel approach called TDSRL (Time Series Dual Self-Supervised … Representation Learning) for robust anomaly detection. TDSRL leverages synthetic anomaly segments which are artificially generated to …

patterns that defy straightforward modelling. In this paper, we propose a novel approach called TDSRL (Time Series Dual Self-Supervised … Representation Learning) for robust anomaly detection. TDSRL leverages synthetic anomaly segments which are artificially generated to …