Controllable RANSAC-based Anomaly Detection via Hypothesis Testing

Le Hong Phong, Ho Ngoc Luat, Vo Nguyen Le Duy

Detecting the presence of anomalies in regression models is a crucial task in machine learning, as anomalies can significantly impact the accuracy and reliability of predictions. R…