Towards management of complex modeling through a hybrid evolutionary identification. - Sergey V. Kovalchuk; Oleg G. Metsker; Anastasia A. Funkner; Ilia O. Kisliakovskii; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Danila A. Vaganov; Klavdiya O. Bochenina (GECCO (Companion), 2018)

Precedent-Based Approach for the Identification of Deviant Behavior in Social Media. - Anna V. Kalyuzhnaya; Nikolay O. Nikitin; Nikolay Butakov; Denis A. Nasonov (ICCS (3), 2018)

Evolutionary Ensemble Approach for Behavioral Credit Scoring. - Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Klavdiya Bochenina; Alexander A. Kudryashov; Amir Uteuov; Ivan Derevitskii; Alexander V. Boukhanovsky (ICCS (3), 2018)

A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. - Sergey V. Kovalchuk; Oleg G. Metsker; Anastasia A. Funkner; Ilia O. Kisliakovskii; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Danila A. Vaganov; Klavdiya O. Bochenina (Complex., 2018)

Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. - Alexander Hvatov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya; Sergey S. Kosukhin (CoRR, 2018)

Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. - Nikolay O. Nikitin; Pavel Vychuzhanin; Alexander Hvatov; Irina Deeva; Anna V. Kalyuzhnaya; Sergey V. Kovalchuk (GECCO (Companion), 2019)

Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model. - Pavel Vychuzhanin; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (ICCS (1), 2019)

REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model. - Pavel Vychuzhanin; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (CoRR, 2019)

Automatic evolutionary learning of composite models with knowledge enrichment. - Anna V. Kalyuzhnaya; Nikolay O. Nikitin; Pavel Vychuzhanin; Alexander Hvatov; Alexander Boukhanovsky (GECCO Companion, 2020)

The multi-objective optimisation of breakwaters using evolutionary approach. - Nikolay O. Nikitin; Iana S. Polonskaia; Anna V. Kalyuzhnaya; Alexander V. Boukhanovsky (CoRR, 2020)

A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI. - Mikhail Sarafanov; Eduard Kazakov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (Remote. Sens., 2020)

Multi-Objective Evolutionary Design of Composite Data-Driven Models. - Iana S. Polonskaia; Nikolay O. Nikitin; Ilia Revin; Pavel Vychuzhanin; Anna V. Kalyuzhnaya (CEC, 2021)

Generative design of microfluidic channel geometry using evolutionary approach. - Nikolay O. Nikitin; Alexander Hvatov; Iana S. Polonskaia; Anna V. Kalyuzhnaya; Georgii V. Grigorev; Xiaohao Wang; Xiang Qian (GECCO Companion, 2021)

Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. - Irina Deeva; Anna Bubnova; Petr D. Andriushchenko; Anton Voskresenskiy; Nikita V. Bukhanov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (ICCS (1), 2021)

Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. - Alexander Hvatov; Mikhail Maslyaev; Iana S. Polonskaya; Mikhail Sarafanov; Mark Merezhnikov; Nikolay O. Nikitin (OL2A, 2021)

Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning. - Mikhail Sarafanov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (SOCO, 2021)

Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning. - Anna V. Kalyuzhnaya; Nikolay O. Nikitin; Alexander Hvatov; Mikhail Maslyaev; Mikhail Yachmenkov; Alexander Boukhanovsky (Entropy, 2021)

Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series. - Mikhail Sarafanov; Valerii Pokrovskii; Nikolay O. Nikitin (CEC, 2022)

Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. - Nikita O. Starodubcev; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (CEC, 2022)

Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering. - Petr D. Andriushchenko; Irina Deeva; Anna Bubnova; Anton Voskresenskiy; Nikita V. Bukhanov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (CoRR, 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)

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)

Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. - Nikolay O. Nikitin; Sergey Teryoshkin; Valerii Pokrovskii; Sergey Pakulin; Denis A. Nasonov (CEC, 2023)

Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters. - Denis O. Sidorenko; Nikita O. Starodubcev; Maiia Pinchuk; Nikolay O. Nikitin (OL2A (1), 2023)

Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble. - Julia Borisova; Nikolay O. Nikitin (CoRR, 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)

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)

Generative design of physical objects using modular framework. - Nikita O. Starodubcev; Nikolay O. Nikitin; Elizaveta A. Andronova; Konstantin G. Gavaza; Denis O. Sidorenko; Anna V. Kalyuzhnaya (Eng. Appl. Artif. Intell., 2023)

Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting. - Julia Borisova; Nikolay O. Nikitin (CEC, 2024)

Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines. - Andrey Getmanov; Nikolay O. Nikitin (CEC, 2024)

GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects. - Maiia Pinchuk; Grigorii Kirgizov; Lyubov Yamshchikova; Nikolay O. Nikitin; Irina Deeva; Karine Shakhkyan; Ivan I. Borisov; Kirill Zharkov; Anna V. Kalyuzhnaya (GECCO Companion, 2024)

Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability. - Nina Gubina; Andrei Dmitrenko; Gleb V. Solovev; Lyubov Yamshchikova; Oleg Petrov; Ivan Lebedev; Nikita Serov; Grigorii Kirgizov; Nikolay O. Nikitin; Vladimir Vinogradov (NeurIPS, 2024)

Evolutionary Optimization for Inverse Problem in Engineering: The Case Study of Defects Shape Reconstruction. - Gleb V. Solovev; Alexander Hvatov; Oleg Petrov; Anna V. Kalyuzhnaya; Alexandra Klimova; Nikolay O. Nikitin (OL2A (2), 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)

Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting. - Julia Borisova; Andrey Kuznetsov; Gleb V. Solovev; Nikolay O. Nikitin (ICCS (3), 2025)

Rockburst Forecasting Using Composite Modelling for Seismic Sensors Data. - Ilia Revin; Vadim A. Potemkin; Nikolay O. Nikitin (ICCS (4), 2025)

Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management. - Tulio J. Francisco; Bruno da Silva Macêdo; Zaher Mundher Yaseen; Nikolay O. Nikitin; Matteo Bodini; Angela Gorgoglione; Camila Martins Saporetti; Leonardo Goliatt (Ecol. Informatics, 2025)

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data. - Aleksey Lapin; Igor Hromov; Stanislav Chumakov; Mile Mitrovic; Dmitry Simakov; Nikolay O. Nikitin; Andrey V. Savchenko (CoRR, 2025)