Maciej Wielgosz, Matej Mertik, Andrzej Skoczen, Ernesto De Matteis. The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Eng. Appl. of AI, 74:166-185, 2018. [doi]
@article{WielgoszMSM18,
title = {The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization},
author = {Maciej Wielgosz and Matej Mertik and Andrzej Skoczen and Ernesto De Matteis},
year = {2018},
doi = {10.1016/j.engappai.2018.06.012},
url = {https://doi.org/10.1016/j.engappai.2018.06.012},
researchr = {https://researchr.org/publication/WielgoszMSM18},
cites = {0},
citedby = {0},
journal = {Eng. Appl. of AI},
volume = {74},
pages = {166-185},
}