Peng Zhou

Detection-Explanation-Improvement: A Closed-Loop Framework of Enhancing Anomaly Detection with Counterfactual Explanations

Many state‑of‑the‑art anomaly detection models operate as black boxes, limiting interpretability and hindering reliable deployment. While recent advances in explainable artificial intelligence have focused on explaining why individual instances are detected as anomalous, comparatively little attention has been paid to...