Nikolay O. Nikitin

57 papers A* 1B 8Journal 29Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
On hyperparameter tuning through Lipschitz global optimization.
Soft Comput.
Konstantin Barkalov, Denis Karchkov, Evgeny Kozinov, Ilya Lebedev, Lubov Yamschikova, Nikolay O. Nikitin, Marina Usova
2025 — conf
Augmentation of Laser Welding Dataset through a combination of Evolutionary Optimization and Deep Learning.
GECCO Companion
Gleb V. Solovev, Mikhail Sokolov, Aveen Hussein, Nikolay O. Nikitin
2025 — conf
ChemCoScientist: LLM-Based Multi-Agent Assistant for Automated Solving of Chemical Tasks Using Data-Driven Tools.
ICDM (Workshops)
Gleb V. Solovev, Ivan Gurev, Anastasia Vepreva, Ivan Dubrovsky, Alina B. Zhidkovskaya, Kamil Fatkhiev, Elizaveta Lutsenko, Anastasia Orlova, Nina Gubina, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kalyuzhnaya
2025 — conf
ChemPaperBench: A Multi-Domain Benchmark for Literature-Grounded Chemical Reasoning of LLM-Based Multi-Agent Systems.
ICDM (Workshops)
Ivan Dubrovsky, Kamil Fatkhiev, Anastasia Vepreva, Anastasia Orlova, Nina Gubina, Dina Shakirova, Rodion Golovinskii, Al Abbass Mohamed, Andrei Dmitrenko, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2025 J jnl
Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management.
Ecol. Informatics
Tulio J. Francisco, Bruno da Silva Macêdo, Zaher Mundher Yaseen, Nikolay O. Nikitin, Matteo Bodini, Angela Gorgoglione, Camila Martins Saporetti, Leonardo Goliatt
2025 J jnl
LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data.
CoRR
Aleksey Lapin, Igor Hromov, Stanislav Chumakov, Mile Mitrovic, Dmitry Simakov, Nikolay O. Nikitin, Andrey V. Savchenko
2025 — conf
MADD: Multi-Agent Drug Discovery Orchestra.
EMNLP (Findings)
Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kaluzhnaya, Andrey V. Savchenko
2025 J jnl
MADD: Multi-Agent Drug Discovery Orchestra.
CoRR
Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay O. Nikitin, Andrei Dmitrenko, Anna V. Kaluzhnaya, Andrey V. Savchenko
2025 B conf
Neuron-Level Architecture Search for Efficient Model Design.
DS
Artem Lunev, Nikolay O. Nikitin
2025 — conf
Rockburst Forecasting Using Composite Modelling for Seismic Sensors Data.
ICCS (4)
Ilia Revin, Vadim A. Potemkin, Nikolay O. Nikitin
2025 B conf
Towards importance of periodicity estimation in long-term spatio-temporal data prediction.
IJCNN
Julia Borisova, Nikolay O. Nikitin
2025 — conf
Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting.
ICCS (3)
Julia Borisova, Andrey Kuznetsov, Gleb V. Solovev, Nikolay O. Nikitin
2024 B conf
Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines.
CEC
Andrey Getmanov, Nikolay O. Nikitin
2024 — conf
Evolutionary Optimization for Inverse Problem in Engineering: The Case Study of Defects Shape Reconstruction.
OL2A (2)
Gleb V. Solovev, Alexander Hvatov, Oleg Petrov, Anna V. Kalyuzhnaya, Alexandra Klimova, Nikolay O. Nikitin
2024 — conf
GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects.
GECCO Companion
Maiia Pinchuk, Grigorii Kirgizov, Lyubov Yamshchikova, Nikolay O. Nikitin, Irina Deeva, Karine Shakhkyan, Ivan I. Borisov, Kirill Zharkov, Anna V. Kalyuzhnaya
2024 A* conf
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability.
NeurIPS
Nina Gubina, Andrei Dmitrenko, Gleb V. Solovev, Lyubov Yamshchikova, Oleg Petrov, Ivan Lebedev, Nikita Serov, Grigorii Kirgizov, Nikolay O. Nikitin, Vladimir Vinogradov
2024 J jnl
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability.
CoRR
Nina Gubina, Andrei Dmitrenko, Gleb V. Solovev, Lyubov Yamshchikova, Oleg Petrov, Ivan Lebedev, Nikita Serov, Grigorii Kirgizov, Nikolay O. Nikitin, Vladimir Vinogradov
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
2024 B conf
Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting.
CEC
Julia Borisova, Nikolay O. Nikitin
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
Generative design of physical objects using modular framework.
Eng. Appl. Artif. Intell.
Nikita O. Starodubcev, Nikolay O. Nikitin, Elizaveta A. Andronova, Konstantin G. Gavaza, Denis O. Sidorenko, Anna V. Kalyuzhnaya
2023 B conf
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment.
CEC
Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov
2023 J jnl
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment.
CoRR
Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov
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
2023 — conf
Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters.
OL2A (1)
Denis O. Sidorenko, Nikita O. Starodubcev, Maiia Pinchuk, Nikolay O. Nikitin
2023 J jnl
Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble.
CoRR
Julia Borisova, Nikolay O. Nikitin
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 B conf
Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series.
CEC
Mikhail Sarafanov, Valerii Pokrovskii, Nikolay O. Nikitin
2022 J jnl
Generative Design of Physical Objects using Modular Framework.
CoRR
Nikita O. Starodubcev, Nikolay O. Nikitin, Konstantin G. Gavaza, Elizaveta A. Andronova, Denis O. Sidorenko, Anna V. Kalyuzhnaya
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
2022 J jnl
Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering.
CoRR
Petr D. Andriushchenko, Irina Deeva, Anna Bubnova, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2022 B conf
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks.
CEC
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2022 J jnl
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks.
CoRR
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2021 — conf
Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning.
SOCO
Mikhail Sarafanov, Nikolay O. Nikitin, 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
Automated data-driven approach for gap filling in the time series using evolutionary learning.
CoRR
Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2021 — conf
Generative design of microfluidic channel geometry using evolutionary approach.
GECCO Companion
Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian
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 — conf
Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models.
OL2A
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
2021 J jnl
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models.
CoRR
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
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
2021 — conf
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks.
ICCS (1)
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2021 J jnl
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks.
CoRR
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2021 J jnl
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning.
Entropy
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Alexander Hvatov, Mikhail Maslyaev, Mikhail Yachmenkov, Alexander Boukhanovsky
2020 J jnl
A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI.
Remote. Sens.
Mikhail Sarafanov, Eduard Kazakov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2020 — conf
Automatic evolutionary learning of composite models with knowledge enrichment.
GECCO Companion
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky
2020 J jnl
The multi-objective optimisation of breakwaters using evolutionary approach.
CoRR
Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky
2019 — conf
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study.
GECCO (Companion)
Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk
2019 J jnl
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model.
CoRR
Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2019 — conf
Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model.
ICCS (1)
Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2018 J jnl
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification.
Complex.
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
2018 J jnl
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification.
CoRR
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
2018 J jnl
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation.
CoRR
Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Sergey S. Kosukhin
2018 — conf
Evolutionary Ensemble Approach for Behavioral Credit Scoring.
ICCS (3)
Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Klavdiya Bochenina, Alexander A. Kudryashov, Amir Uteuov, Ivan Derevitskii, Alexander V. Boukhanovsky
2018 — conf
Precedent-Based Approach for the Identification of Deviant Behavior in Social Media.
ICCS (3)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Nikolay Butakov, Denis A. Nasonov
2018 — conf
Towards management of complex modeling through a hybrid evolutionary identification.
GECCO (Companion)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina