Lilach Goren Huber

According to our database, Lilach Goren Huber authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

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

Markus Ulmer, Jannik Zgraggen, Lilach Goren Huber

CoRR, 2023

Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases.

Lilach Goren Huber, Thomas Palmé, Manuel Arias Chao

Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

2022

Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study.

Markus Ulmer, Jannik Zgraggen, Gianmarco Pizza, Lilach Goren Huber

Proceedings of the 9th Swiss Conference on Data Science, 2022

2020

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