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Ilia Revin
Observed name:
Revin, Ilia
Institution:
ITMO University
Observed institutions:
ITMO University,
Saint Petersburg Mining University
ORCID:
0000-0002-4459-8724
Observed ORCID:
0000-0002-4459-8724
OpenAlex ID:
A5063535629
Automated evolutionary approach for the design of composite machine learning pipelines
2021
·
Nikolay O. Nikitin
, Pavel Vychuzhanin
, et al.
·
Future Generation Computer Systems
·
97
PDF
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea
2022
·
Nikolay O. Nikitin
, Ilia Revin
, et al.
·
Computers & Geosciences
·
43
PDF
Automated machine learning approach for time series classification pipelines using evolutionary optimization
2023
·
Ilia Revin
, Vadim A. Potemkin
, et al.
·
Knowledge-Based Systems
·
35
Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current
2023
·
Yuriy Zhukovskiy
, Aleksandra Buldysko
, et al.
·
Energies
·
34
PDF
Short-Term River Flood Forecasting Using Composite Models and Automated Machine Learning: The Case Study of Lena River
2021
·
Mikhail Sarafanov
, Yulia Borisova
, et al.
·
Water
·
24
Multi-Objective Evolutionary Design of Composite Data-Driven Models
2021
·
Iana S. Polonskaia
, Nikolay O. Nikitin
, et al.
·
IEEE Congress on Evolutionary Computation (CEC)
·
13
PDF
Composite model of seismic monitoring data analysis during mining operations on the example of the Kukisvumchorrskoye deposit of AO Apatit
2023
·
Alexander Gospodarikov
, Ilia Revin
, et al.
·
Journal of Mining Institute
·
7
PDF
Integration of evolutionary automated machine learning with structural sensitivity analysis for composite pipelines
2024
·
Nikolay O. Nikitin
, Maiia Pinchuk
, et al.
·
Knowledge-Based Systems
·
3
PDF
One AutoML to rule them all: Unified kernel-based approach for automated time series classification, regression and forecasting
2026
·
Ilia Revin
, Vadim Potemkin
, et al.
·
Knowledge-Based Systems
·
1
Evolving Multi-Agent Systems with Large Language Models: Surrogate Fitness Limitations and Empirical Insights
2026
·
Vadim Akhmerov
, Dmitry Gilemkhanov
, et al.
·
Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
FEDOT.MAS: Generating Multi-Agent Systems for Complex Tasks with Multi-Stage Validation
2026
·
Dmitry Gilemkhanov
, Vadim A. Potemkin
, et al.
·
Adaptive Agents and Multi-Agents Systems
Automated Evolutionary Optimization for Resource-Efficient Neural Network Training
2025
·
Revin, Ilia
, Strelkov, Leon
, et al.
·
arXiv (Cornell University)
PDF
Rockburst Forecasting Using Composite Modelling for Seismic Sensors Data
2025
·
Ilia Revin
, Vadim A. Potemkin
, et al.
·
Lecture notes in computer science
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Works count:
13
Citation count:
257
H-index:
7
I10-index:
6
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