A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data

Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber

Anomaly detection (AD) tasks have been solved using machine learning algorithms in various domains and applications. The great majority of these algorithms use normal data to train…