Lilach Goren Huber

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 4

Top Topics

Detecting Anomalies

Machine Learning

Top Venues

Publications

Lilach Goren Huber, Thomas Palmé, Manuel Arias Chao
Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases. SDS (2023)
Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data. CoRR (2023)
Markus Ulmer, Jannik Zgraggen, Gianmarco Pizza, Lilach Goren Huber
Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study. SDS (2022)
Claude Lehmann, Lilach Goren Huber, Thomas Horisberger, Georg Scheiba, Ana Claudia Sima, Kurt Stockinger
Big Data architecture for intelligent maintenance: a focus on query processing and machine learning algorithms. J. Big Data 7 (1) (2020)