Nikitin N.O., Pinchuk M., Pokrovskii V., Shevchenko P., Getmanov A., Aksenkin Y., Revin I., Stebenkov A., Latypov V., Poslavskaya E., Kalyuzhnaya A.V. Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines. Knowledge-Based Systems. 2024. Vol. 302. pp. 112363.. doi: 10.1016/j.knosys.2024.112363
Котелева Н.И., Королев Н.А., Ревин И.Е. Применение автоматических алгоритмов машинного обучения в задачах диагностики состояния электродвигателей переменного тока, используемых на предприятиях горнодобывающей промышленности. Устойчивое развитие горных территорий. 2024. Т. 16. № 4(62). С. 1671-1680.. doi: 10.21177/1998-4502-2024-16-4-1671-1680
Revin I., Balabanov N., Litvintseva A. Light-weight ensembling of deep neural models for object recognition in remote sensing data. Procedia Computer Science. 2023. Vol. 229. pp. 18-27.. doi: 10.1016/j.procs.2023.12.003
Revin I., Potemkin V., Balabanov N., Nikitin N.O. Automated machine learning approach for time series classification pipelines using evolutionary optimization. Knowledge-Based Systems. 2023. Vol. 268. pp. 110483.. doi: 10.1016/j.knosys.2023.110483
Zhukovskiy Y., Buldysko A., Revin I. Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current. Energies. 2023. Vol. 16. No. 8. pp. 3303.. doi: 10.3390/en16083303
Господариков А.П., Ревин И.Е., Морозов К.В. Композитная модель анализа данных сейсмического мониторинга при ведении горных работ на примере Кукисвумчоррского месторождения АО «Апатит» = Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of AO Apatit. Записки Горного института = Journal of Mining Institute. 2023. Т. 262. С. 571-580.. doi: 10.31897/PMI.2023.9
Nikitin N.O., Revin I., Hvatov A., Vychuzhanin P., Kalyuzhnaya A.V. Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. Computers and Geosciences. 2022. Vol. 161. pp. 105061.. doi: 10.1016/j.cageo.2022.105061
Nikitin N.O., Vychuzhanin P., Sarafanov M., Polonskaia I.S., Revin I., Barabanova I.V., Kaluzhnaya A.V., Boukhanovsky A. Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines. Future Generation Computer Systems. 2022. Vol. 127. pp. 109-125.. doi: 10.1016/j.future.2021.08.022
Polonskaia I.S., Nikitin N.O., Revin I., Vychuzhanin P., Kaluzhnaya A.V. Multi-Objective Evolutionary Design of Composite Data-Driven Models. IEEE Congress on Evolutionary Computation, CEC 2021. 2021. pp. 926-933.. doi: 10.1109/CEC45853.2021.9504773
Sarafanov M.I., Borisova Y., Maslyaev M., Revin I., Maximov G., Nikitin N.O. Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River. Water. 2021. Vol. 13. No. 24. pp. 3482.. doi: 10.3390/w13243482