
Enhancing Anomaly Detection with Adaptive Noise: A Pseudo Anomaly Approach
[ad_1] Anomaly detection has gained traction in various fields such as surveillance, medical analysis, and network security. Typically approached as a one-class classification problem, autoencoder (AE) models are commonly used. However, AEs tend to reconstruct […]