Ilia Revin

12 papers B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated Evolutionary Optimization for Resource-Efficient Neural Network Training.
CoRR
Ilia Revin, Leon Strelkov, Vadim A. Potemkin, Ivan Kireev, Andrey V. Savchenko
2025 — conf
Rockburst Forecasting Using Composite Modelling for Seismic Sensors Data.
ICCS (4)
Ilia Revin, Vadim A. Potemkin, Nikolay O. Nikitin
2024 J jnl
Integration of evolutionary automated machine learning with structural sensitivity analysis for composite pipelines.
Knowl. Based Syst.
Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Vladimir Latypov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya
2023 J jnl
Automated machine learning approach for time series classification pipelines using evolutionary optimization.
Knowl. Based Syst.
Ilia Revin, Vadim A. Potemkin, Nikita R. Balabanov, Nikolay O. Nikitin
2023 J jnl
Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of JSC Apatit.
CoRR
Ilia Revin
2023 J jnl
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines.
CoRR
Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya
2022 J jnl
Automated evolutionary approach for the design of composite machine learning pipelines.
Future Gener. Comput. Syst.
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky
2022 J jnl
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea.
Comput. Geosci.
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
2021 J jnl
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines.
CoRR
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky
2021 J jnl
Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea.
CoRR
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
2021 B conf
Multi-Objective Evolutionary Design of Composite Data-Driven Models.
CEC
Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
2021 J jnl
Multi-Objective Evolutionary Design of Composite Data-Driven Models.
CoRR
Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya