81 citations · 111 across the 4 of their papers we have counts for
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cs.LG2017★ 22 cited
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization
Maciej Wielgosz, Matej Mertik, Andrzej Skoczeń +1
This paper focuses on an examination of an applicability of Recurrent Neural Network models for detecting anomalous behavior of the CERN superconducting magnets. In order to conduc…
cs.LG2016★ 1 cited
A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework
Matej Mertik, Maciej Wielgosz, Andrzej Skoczeń
This article presents a development of web application for quench prediction in \gls{te-mpe-ee} at CERN. The authors describe an ELectrical Quality Assurance (ELQA) framework, a pl…