Modeling Machine Health Using Gated Recurrent Units with Entity Embeddings and K-Means Clustering. - Ido Amihai; Moncef Chioua; Ralf Gitzel; Arzam Muzaffar Kotriwala; Diego Pareschi; Guruprasad Sosale; Subanatarajan Subbiah (INDIN, 2018)

An Industrial Case Study Using Vibration Data and Machine Learning to Predict Asset Health. - Ido Amihai; Ralf Gitzel; Arzam Muzaffar Kotriwala; Diego Pareschi; Subanatarajan Subbiah; Guruprasad Sosale (CBI (1), 2018)

Towards Robust ML-Algorithms for the Condition Monitoring of Switchgear. - Ralf Gitzel; Ido Amihai; Marina Sofia Garcia Perez (SA, 2019)

Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. - Martin W. Hoffmann; Stephan Wildermuth; Ralf Gitzel; Aydin Boyaci; Jörg Gebhardt; Holger Kaul; Ido Amihai; Bodo Forg; Michael Suriyah; Thomas Leibfried; Volker Stich; Jan Hicking; et al. (Sensors, 2020)

BOAT: A Bayesian Optimization AutoML Time-series Framework for Industrial Applications. - John Joy Kurian; Marcel Dix; Ido Amihai; Glenn Ceusters; Ajinkya Prabhune (BigDataService, 2021)