Nikolay O. Nikitin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Digital Objects

Mathematical Model

Evolutionary Learning

Top Venues

GECCO Companion

GECCO (Companion)

Publications

Andrey Getmanov, Nikolay O. Nikitin
Evolutionary Automated Machine Learning for Light-Weight Multi-Modal Pipelines. CEC (2024)
Julia Borisova, Nikolay O. Nikitin
Lightweight Neural Ensemble Approach for Arctic Sea Ice Forecasting. CEC (2024)
Maiia Pinchuk, Grigorii Kirgizov, Lyubov Yamshchikova, Nikolay O. Nikitin, Irina Deeva, Karine Shakhkyan, Ivan Borisov, Kirill Zharkov, Anna V. Kalyuzhnaya
GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects. GECCO Companion (2024)
Ilia Revin, Vadim A. Potemkin, Nikita R. Balabanov, Nikolay O. Nikitin
Automated machine learning approach for time series classification pipelines using evolutionary optimization. Knowl. Based Syst. 268 (2023)
Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. CEC (2023)
Denis O. Sidorenko, Nikita O. Starodubcev, Maiia Pinchuk, Nikolay O. Nikitin
Interpretable Structural Analysis for Evolutionary Generative Design of Coastal Breakwaters. OL2A (1) (2023)
Nikolay O. Nikitin, Sergey Teryoshkin, Valerii Pokrovskii, Sergey Pakulin, Denis A. Nasonov
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment. CoRR (2023)
Nikita O. Starodubcev, Nikolay O. Nikitin, Elizaveta A. Andronova, Konstantin G. Gavaza, Denis O. Sidorenko, Anna V. Kalyuzhnaya
Generative design of physical objects using modular framework. Eng. Appl. Artif. Intell. 119 (2023)
Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines. CoRR (2023)
Julia Borisova, Nikolay O. Nikitin
Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble. CoRR (2023)
Mikhail Sarafanov, Valerii Pokrovskii, Nikolay O. Nikitin
Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series. CEC (2022)
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. CEC (2022)
Petr D. Andriushchenko, Irina Deeva, Anna Bubnova, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering. CoRR (2022)
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. CoRR (2022)
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky
Automated evolutionary approach for the design of composite machine learning pipelines. Future Gener. Comput. Syst. 127 (2022)
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea. Comput. Geosci. 161 (2022)
Nikita O. Starodubcev, Nikolay O. Nikitin, Konstantin G. Gavaza, Elizaveta A. Andronova, Denis O. Sidorenko, Anna V. Kalyuzhnaya
Generative Design of Physical Objects using Modular Framework. CoRR (2022)
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines. CoRR (2021)
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. CoRR (2021)
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. ICCS (1) (2021)
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. OL2A (2021)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Alexander Hvatov, Mikhail Maslyaev, Mikhail Yachmenkov, Alexander Boukhanovsky
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning. Entropy 23 (1) (2021)
Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian
Generative design of microfluidic channel geometry using evolutionary approach. GECCO Companion (2021)
Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Multi-Objective Evolutionary Design of Composite Data-Driven Models. CoRR (2021)
Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Multi-Objective Evolutionary Design of Composite Data-Driven Models. CEC (2021)
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. CoRR (2021)
Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Automated data-driven approach for gap filling in the time series using evolutionary learning. CoRR (2021)
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya, Mikhail Sarafanov, Mark Merezhnikov, Nikolay O. Nikitin
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models. CoRR (2021)
Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning. SOCO (2021)
Mikhail Sarafanov, Eduard Kazakov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
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. 12 (23) (2020)
Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky
The multi-objective optimisation of breakwaters using evolutionary approach. CoRR (2020)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky
Automatic evolutionary learning of composite models with knowledge enrichment. GECCO Companion (2020)
Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model. ICCS (1) (2019)
Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO (Companion) (2019)
Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model. CoRR (2019)
Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Klavdiya Bochenina, Alexander A. Kudryashov, Amir Uteuov, Ivan Derevitskii, Alexander V. Boukhanovsky
Evolutionary Ensemble Approach for Behavioral Credit Scoring. ICCS (3) (2018)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
Towards management of complex modeling through a hybrid evolutionary identification. GECCO (Companion) (2018)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Nikolay Butakov, Denis A. Nasonov
Precedent-Based Approach for the Identification of Deviant Behavior in Social Media. ICCS (3) (2018)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. CoRR (2018)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. Complex. 2018 (2018)
Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Sergey S. Kosukhin
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. CoRR (2018)