A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Recommended citation: Markus Ulmer, Jannik Zgraggen, and Lilach Goren Huber. 2024. "A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data." International Journal of Prognostics and Health Management 15(1), doi:10.36001/ijphm.2024.v15i1.3589 /files/pdf/research/2024-USDR.pdf