Machine Learning Techniques for Fault-tolerance Analysis and Forecasting

Nataliia Kuznietsova, Petro Bidyuk, Maryna Kuznietsova, Jules Lepretre. Machine Learning Techniques for Fault-tolerance Analysis and Forecasting. In Aleksandr Dodonov, Dmitry Lande, Nikolai Stoianov, Vitaliy V. Tsyganok, Sándor Bozóki, Stan Lipovetsky, Andrei A. Snarskii, Andriy Olenko, Oleg Chertov, editors, Selected Papers of the XXI International Scientific and Practical Conference "Information Technologies and Security" (ITS 2021), Kyiv, Ukraine, December 9, 2021. Volume 3241 of CEUR Workshop Proceedings, pages 56-68, CEUR-WS.org, 2021. [doi]

@inproceedings{KuznietsovaBKL21,
  title = {Machine Learning Techniques for Fault-tolerance Analysis and Forecasting},
  author = {Nataliia Kuznietsova and Petro Bidyuk and Maryna Kuznietsova and Jules Lepretre},
  year = {2021},
  url = {http://ceur-ws.org/Vol-3241/paper6.pdf},
  researchr = {https://researchr.org/publication/KuznietsovaBKL21},
  cites = {0},
  citedby = {0},
  pages = {56-68},
  booktitle = {Selected Papers of the XXI International Scientific and Practical Conference "Information Technologies and Security" (ITS 2021), Kyiv, Ukraine, December 9, 2021},
  editor = {Aleksandr Dodonov and Dmitry Lande and Nikolai Stoianov and Vitaliy V. Tsyganok and Sándor Bozóki and Stan Lipovetsky and Andrei A. Snarskii and Andriy Olenko and Oleg Chertov},
  volume = {3241},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}