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Journal Articles
- 2024
[j14]Nikolay O. Nikitin
, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Vladimir Latypov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya:
Integration of evolutionary automated machine learning with structural sensitivity analysis for composite pipelines. Knowl. Based Syst. 302: 112363 (2024)- 2023
- [j13]Irina Nizovtseva, Vladimir Palmin, Ivan Simkin, Ilya Starodumov, Pavel Mikushin, Alexander Nozik, Timur Hamitov, Sergey Ivanov, Sergey Vikharev, Alexei Zinovev, Vladislav Svitich, Matvey Mogilev, Margarita Nikishina, Simon Kraev, Stanislav Yurchenko, Timofey Mityashin, Dmitrii Chernushkin, Anna V. Kaluzhnaya, Felix A. Blyakhman:
Assessing the Mass Transfer Coefficient in Jet Bioreactors with Classical Computer Vision Methods and Neural Networks Algorithms. Algorithms 16(3): 125 (2023) - [j12]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: 105715 (2023) - 2022
- [j11]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: 109-125 (2022) - [j10]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: 105061 (2022) - 2021
- [j9]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): 28 (2021) - [j8]Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya:
Partial differential equations discovery with EPDE framework: Application for real and synthetic data. J. Comput. Sci. 53: 101345 (2021) - 2020
- [j7]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): 3865 (2020) - 2018
- [j6]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: 5870987:1-5870987:15 (2018) - [j5]Anna V. Kalyuzhnaya, Denis A. Nasonov, Sergey V. Ivanov, Sergey S. Kosukhin, Alexander V. Boukhanovsky:
Towards a scenario-based solution for extreme metocean event simulation applying urgent computing. Future Gener. Comput. Syst. 79: 604-617 (2018) - 2017
- [j4]Anna Nikishova, Anna V. Kaluzhnaya, Alexander Boukhanovsky, Alfons G. Hoekstra:
Uncertainty quantification and sensitivity analysis applied to the wind wave model SWAN. Environ. Model. Softw. 95: 344-357 (2017) - 2015
- [j3]Anna V. Kalyuzhnaya, Alexander A. Visheratin, Alexey Dudko, Denis A. Nasonov, Alexander V. Boukhanovsky:
Synthetic storms reconstruction for coastal floods risks assessment. J. Comput. Sci. 9: 112-117 (2015) - 2013
- [j2]Sergey V. Ivanov, Sergey S. Kosukhin, Anna V. Kaluzhnaya, Alexander Boukhanovsky:
Erratum to "Simulation-based collaborative decision support for surge floods prevention in St. Petersburg" [J. Comput. Sciience 3 (2012) 450-455]. J. Comput. Sci. 4(5): 438 (2013) - 2012
- [j1]Sergey V. Ivanov, Sergey S. Kosukhin, Anna V. Kaluzhnaya, Alexander Boukhanovsky:
Simulation-based collaborative decision support for surge floods prevention in St. Petersburg. J. Comput. Sci. 3(6): 450-455 (2012)
Conference and Workshop Papers
- 2024
- [c20]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: 1668-1675 - 2023
- [c19]Anastasiia Filatova, Mikhail V. Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna V. Kaluzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis A. Nasonov:
A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization. CEC 2023: 1-8 - 2022
- [c18]Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. CEC 2022: 1-8 - 2021
- [c17]Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya:
Multi-Objective Evolutionary Design of Composite Data-Driven Models. CEC 2021: 926-933 - [c16]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: 59-60 - [c15]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: 394-407 - [c14]Irina Deeva, Andrey Mossyayev, Anna V. Kalyuzhnaya:
A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN's and Classification Models. MobiQuitous 2021: 847-859 - [c13]Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning. SOCO 2021: 633-642 - 2020
- [c12]Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky:
Automatic evolutionary learning of composite models with knowledge enrichment. GECCO Companion 2020: 43-44 - [c11]Irina Deeva, Petr D. Andriushchenko, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky:
Bayesian Networks-based personal data synthesis. GOODTECHS 2020: 6-11 - [c10]Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya:
Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. ICCS (2) 2020: 86-100 - 2019
- [c9]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: 1583-1591 - [c8]Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model. ICCS (1) 2019: 614-627 - [c7]Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya:
Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach. ICCS (5) 2019: 635-641 - 2018
- [c6]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: 255-256 - [c5]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: 825-831 - [c4]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: 846-852 - 2016
- [c3]Jose Luis Araya-Lopez, Anna V. Kalyuzhnaya, Sergey S. Kosukhin, Sergey V. Ivanov, Alexander Boukhanovsky:
Data Quality Control for St. Petersburg Flood Warning System. ICCS 2016: 2128-2140 - 2015
- [c2]Anna V. Kalyuzhnaya, Alexander Boukhanovsky:
Computational Uncertainty Management for Coastal Flood Prevention System. ICCS 2015: 2317-2326 - 2014
- [c1]Sergey S. Kosukhin, Anna V. Kalyuzhnaya, Denis A. Nasonov:
Problem Solving Environment for Development and Maintenance of St. Petersburg's Flood Warning System. ICCS 2014: 1667-1676
Informal and Other Publications
- 2023
- [i15]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 abs/2312.14770 (2023) - 2022
- [i14]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 abs/2204.00413 (2022) - [i13]Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. CoRR abs/2204.03400 (2022) - [i12]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 abs/2207.14621 (2022) - 2021
- [i11]Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
Automated data-driven approach for gap filling in the time series using evolutionary learning. CoRR abs/2103.01124 (2021) - [i10]Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya:
Multi-Objective Evolutionary Design of Composite Data-Driven Models. CoRR abs/2103.01301 (2021) - [i9]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 abs/2103.01804 (2021) - [i8]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 abs/2103.02598 (2021) - [i7]Anna V. Bubnova, Irina Deeva, Anna V. Kalyuzhnaya:
MIxBN: library for learning Bayesian networks from mixed data. CoRR abs/2106.13194 (2021) - [i6]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 abs/2106.15397 (2021) - 2020
- [i5]Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky:
The multi-objective optimisation of breakwaters using evolutionary approach. CoRR abs/2004.03010 (2020) - 2019
- [i4]Michail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya:
Data-driven PDE discovery with evolutionary approach. CoRR abs/1903.08011 (2019) - [i3]Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya:
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model. CoRR abs/1906.08587 (2019) - 2018
- [i2]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 abs/1809.04656 (2018) - [i1]Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Sergey S. Kosukhin:
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. CoRR abs/1810.03657 (2018)
Coauthor Index
aka: Alexander V. Boukhanovsky
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