Ilia Revin

According to our database, Ilia Revin authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

One AutoML to rule them all: Unified kernel-based approach for automated time series classification, regression and forecasting.

Ilia Revin, Vadim A. Potemkin, Nikolay O. Nikitin

Knowl. Based Syst., 2026

2025

Automated Evolutionary Optimization for Resource-Efficient Neural Network Training.

Ilia Revin, Leon Strelkov, Vadim A. Potemkin, Ivan Kireev, Andrey V. Savchenko

CoRR, October, 2025

Rockburst Forecasting Using Composite Modelling for Seismic Sensors Data.

Ilia Revin, Vadim A. Potemkin, Nikolay O. Nikitin

Proceedings of the Computational Science - ICCS 2025, 2025

2024

Integration of evolutionary automated machine learning with structural sensitivity analysis for composite pipelines.

Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Vladimir Latypov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya

Knowl. Based Syst., 2024

2023

Automated machine learning approach for time series classification pipelines using evolutionary optimization.

Ilia Revin, Vadim A. Potemkin, Nikita R. Balabanov, Nikolay O. Nikitin

Knowl. Based Syst., 2023

Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines.

Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya

CoRR, 2023

Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of JSC Apatit.

Ilia Revin

CoRR, 2023

2022

Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea.

Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya

Comput. Geosci., 2022

Automated evolutionary approach for the design of composite machine learning pipelines.

Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky

Future Gener. Comput. Syst., 2022

2021

Multi-Objective Evolutionary Design of Composite Data-Driven Models.

Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya

Proceedings of the IEEE Congress on Evolutionary Computation, 2021