A Framework for Enhancing Reliability of Time Series Anomaly Detection Models through Human-AI Collaboration

A framework that integrates human expertise with machine learning techniques to enhance the reliability of time-series anomaly detection models by enabling systematic detection, interpretation, and mitigation of model biases.