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Nikolay O Nikitin
Nikolay O Nikitin
ITMO University
Verified email at itmo.ru
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Cited by
Year
Urban pluvial flood forecasting using open data with machine learning techniques in pattani basin
J Noymanee, NO Nikitin, AV Kalyuzhnaya
Procedia computer science 119, 288-297, 2017
432017
A machine learning approach for remote sensing data gap-filling with open-source implementation: An example regarding land surface temperature, surface albedo and NDVI
M Sarafanov, E Kazakov, NO Nikitin, AV Kalyuzhnaya
Remote Sensing 12 (23), 3865, 2020
272020
A conceptual approach to complex model management with generalized modelling patterns and evolutionary identification
SV Kovalchuk, OG Metsker, AA Funkner, IO Kisliakovskii, NO Nikitin, ...
Complexity 2018, 2018
172018
Automated evolutionary approach for the design of composite machine learning pipelines
NO Nikitin, P Vychuzhanin, M Sarafanov, IS Polonskaia, I Revin, ...
Future Generation Computer Systems 127, 109-125, 2022
112022
Automatic evolutionary learning of composite models with knowledge enrichment
AV Kalyuzhnaya, NO Nikitin, P Vychuzhanin, A Hvatov, A Boukhanovsky
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020
112020
Structural evolutionary learning for composite classification models
NO Nikitin, IS Polonskaia, P Vychuzhanin, IV Barabanova, ...
Procedia computer science 178, 414-423, 2020
102020
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study
NO Nikitin, P Vychuzhanin, A Hvatov, I Deeva, AV Kalyuzhnaya, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
92019
Towards generative design of computationally efficient mathematical models with evolutionary learning
AV Kalyuzhnaya, NO Nikitin, A Hvatov, M Maslyaev, M Yachmenkov, ...
Entropy 23 (1), 28, 2020
82020
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation
A Hvatov, NO Nikitin, AV Kalyuzhnaya, SS Kosukhin
Ocean Modelling 141, 101427, 2019
82019
Statistics-based models of flood-causing cyclones for the Baltic Sea region
NO Nikitin, DS Spirin, AA Visheratin, AV Kalyuzhnaya
Procedia Computer Science 101, 272-281, 2016
62016
Robust ensemble-based evolutionary calibration of the numerical wind wave model
P Vychuzhanin, NO Nikitin, AV Kalyuzhnaya
International Conference on Computational Science, 614-627, 2019
52019
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea
NO Nikitin, I Revin, A Hvatov, P Vychuzhanin, AV Kalyuzhnaya
Computers & Geosciences 161, 105061, 2022
42022
Multi-Objective Evolutionary Design of Composite Data-Driven Models
IS Polonskaia, NO Nikitin, I Revin, P Vychuzhanin, AV Kalyuzhnaya
2021 IEEE Congress on Evolutionary Computation (CEC), 926-933, 2021
42021
Evolutionary ensemble approach for behavioral credit scoring
NO Nikitin, AV Kalyuzhnaya, K Bochenina, AA Kudryashov, A Uteuov, ...
International Conference on Computational Science, 825-831, 2018
42018
Short-term river flood forecasting using composite models and automated machine learning: The case study of Lena river
M Sarafanov, Y Borisova, M Maslyaev, I Revin, G Maximov, NO Nikitin
Water 13 (24), 3482, 2021
32021
The multi-objective optimisation of breakwaters using evolutionary approach
NO Nikitin, IS Polonskaia, AV Kalyuzhnaya, AV Boukhanovsky
Maritime Technology and Engineering 5 Volume 2: Proceedings of the 5th, 2020
32020
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
I Deeva, A Bubnova, P Andriushchenko, A Voskresenskiy, N Bukhanov, ...
International Conference on Computational Science, 394-407, 2021
22021
Automated evolutionary design of CNN classifiers for object recognition on satellite images
IS Polonskaia, IR Aliev, NO Nikitin
Procedia Computer Science 193, 210-219, 2021
22021
Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression
I Deeva, NO Nikitin, AV Kaluyzhnaya
Procedia Computer Science 156, 357-366, 2019
22019
Towards management of complex modeling through a hybrid evolutionary identification
SV Kovalchuk, OG Metsker, AA Funkner, IO Kisliakovskii, NO Nikitin, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
22018
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