| 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 | 67 | 2017 |
| 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 | 58 | 2020 |
| 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 | 53 | 2022 |
| 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 (1), 5870987, 2018 | 18 | 2018 |
| Automated machine learning approach for time series classification pipelines using evolutionary optimization I Revin, VA Potemkin, NR Balabanov, NO Nikitin Knowledge-based systems 268, 110483, 2023 | 16 | 2023 |
| 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 | 16 | 2022 |
| Structural evolutionary learning for composite classification models NO Nikitin, IS Polonskaia, P Vychuzhanin, IV Barabanova, ... Procedia computer science 178, 414-423, 2020 | 14 | 2020 |
| 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 | 13 | 2020 |
| 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 | 12 | 2021 |
| 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 | 11 | 2021 |
| 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 | 11 | 2020 |
| Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation A Hvatov, NO Nikitin, AV Kalyuzhnaya, SS Kosukhin Ocean Modelling 141, 101427, 2019 | 10 | 2019 |
| 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 | 10 | 2019 |
| Evolutionary automated machine learning for multi-scale decomposition and forecasting of sensor time series M Sarafanov, V Pokrovskii, NO Nikitin 2022 IEEE Congress on Evolutionary Computation (CEC), 01-08, 2022 | 8 | 2022 |
| 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 | 8 | 2021 |
| Evolutionary ensemble approach for behavioral credit scoring NO Nikitin, AV Kalyuzhnaya, K Bochenina, AA Kudryashov, A Uteuov, ... Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 7 | 2018 |
| Generative design of physical objects using modular framework NO Starodubcev, NO Nikitin, EA Andronova, KG Gavaza, DO Sidorenko, ... Engineering Applications of Artificial Intelligence 119, 105715, 2023 | 6 | 2023 |
| 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 | 6 | 2020 |
| 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 | 6 | 2016 |
| Single red blood cell hydrodynamic traps via the generative design GV Grigorev, NO Nikitin, A Hvatov, AV Kalyuzhnaya, AV Lebedev, ... Micromachines 13 (3), 367, 2022 | 5 | 2022 |
Anna KalyuzhnayaITMO University在 niuitmo.ru 的电子邮件经过验证
