Ilia Revin - RankMe

12 papers B 1Journal 10Unranked 1

Year	Rank	Type	Title / 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