Big Data architecture for intelligent maintenance: a focus on query processing and machine learning algorithms. - Claude Lehmann; Lilach Goren Huber; Thomas Horisberger; Georg Scheiba; Ana Claudia Sima; Kurt Stockinger (J. Big Data, 2020)

Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study. - Markus Ulmer; Jannik Zgraggen; Gianmarco Pizza; Lilach Goren Huber (SDS, 2022)

Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases. - Lilach Goren Huber; Thomas Palmé; Manuel Arias Chao (SDS, 2023)

A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data. - Markus Ulmer; Jannik Zgraggen; Lilach Goren Huber (CoRR, 2023)

Fully Unsupervised Anomaly Detection in Industrial Images with Unknown Data Contamination. - Matthias Wüest; Lilach Goren Huber (SDS, 2025)