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Anna V. Kalyuzhnaya

Observed names: A. V. Kalyuzhnaya, A.V. Kalyuzhnaya, Anna Kalyuzhnaya, Anna V. Kaluzhnaya, Kalyuzhnaya A., Kalyuzhnaya, Anna, А.В. Калюжная, Анна Владимировна Калюжная
Institution: ITMO University
Observed institution: ITMO University
ORCID: 0000-0002-9612-8601
Observed ORCID: 0000-0002-9612-8601
OpenAlex ID: A5056189231
Automated evolutionary approach for the design of composite machine learning pipelines
2021 · Nikolay O. Nikitin, Pavel Vychuzhanin, et al. · Future Generation Computer Systems · 97
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Urban Pluvial Flood Forecasting using Open Data with Machine Learning Techniques in Pattani Basin
2017 · Jeerana Noymanee, Nikolay O. Nikitin, et al. · Procedia Computer Science · 92
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A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI
2020 · Mikhail Sarafanov, Eduard Kazakov, et al. · Remote Sensing · 87
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LLM Agents for Smart City Management: Enhancing Decision Support Through Multi-Agent AI Systems
2025 · Anna Kalyuzhnaya, Sergey Mityagin, et al. · Smart Cities · 86
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Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea
2022 · Nikolay O. Nikitin, Ilia Revin, et al. · Computers & Geosciences · 43
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Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach
2019 · Mikhail Maslyaev, Alexander Hvatov, et al. · Lecture notes in computer science · 43
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Partial differential equations discovery with EPDE framework: Application for real and synthetic data
2021 · Mikhail Maslyaev, Alexander Hvatov, et al. · Journal of Computational Science · 34
Simulation-based collaborative decision support for surge floods prevention in St. Petersburg
2012 · Sergey V. Ivanov, Sergey S. Kosukhin, et al. · Journal of Computational Science · 29
Uncertainty quantification and sensitivity analysis applied to the wind wave model SWAN
2017 · Anna Nikishova, Anna Kalyuzhnaya, et al. · Environmental Modelling & Software · 19
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Assessing the Mass Transfer Coefficient in Jet Bioreactors with Classical Computer Vision Methods and Neural Networks Algorithms
2023 · Irina Nizovtseva, Vladimir Palmin, et al. · Algorithms · 16
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Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning
2020 · Anna V. Kalyuzhnaya, Nikolay O. Nikitin, et al. · Entropy · 15
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Advanced Approach for Distributions Parameters Learning in Bayesian Networks with Gaussian Mixture Models and Discriminative Models
2023 · Irina Deeva, Anna Bubnova, et al. · Mathematics · 14
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Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation
2019 · Alexander Hvatov, Nikolay O. Nikitin, et al. · Ocean Modelling · 14
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The cities weather forecasting by crowdsourced atmospheric data
2019 · Amir Uteuov, Anna Kalyuzhnaya, et al. · Procedia Computer Science · 14
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Multi-Objective Evolutionary Design of Composite Data-Driven Models
2021 · Iana S. Polonskaia, Nikolay O. Nikitin, et al. · IEEE Congress on Evolutionary Computation (CEC) · 13
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Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning
2021 · Mikhail Sarafanov, Nikolay O. Nikitin, et al. · Advances in intelligent systems and computing · 11
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Generative design of physical objects using modular framework
2022 · Nikita O. Starodubcev, Nikolay O. Nikitin, et al. · Engineering Applications of Artificial Intelligence · 10
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Automatic evolutionary learning of composite models with knowledge enrichment
2020 · Anna V. Kalyuzhnaya, Nikolay O. Nikitin, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 10
Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data
2020 · Mikhail Maslyaev, Alexander Hvatov, et al. · Lecture notes in computer science · 10
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Structural Evolutionary Learning for Composite Classification Models
2020 · Nikolay O. Nikitin, Iana S. Polonskaia, et al. · Procedia Computer Science · 10
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Bayesian Networks-based personal data synthesis
2020 · Irina Deeva, Petr D. Andriushchenko, et al. · EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS) · 9
Synthetic storms reconstruction for coastal floods risks assessment
2015 · Anna V. Kalyuzhnaya, Alexander A. Visheratin, et al. · Journal of Computational Science · 9
Evolutionary Ensemble Approach for Behavioral Credit Scoring
2018 · Nikolay O. Nikitin, Anna V. Kalyuzhnaya, et al. · Lecture notes in computer science · 8
MIxBN: library for learning Bayesian networks from mixed data
2021 · Anna V. Bubnova, Irina Deeva, et al. · Procedia Computer Science · 7
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MADD: Multi-Agent Drug Discovery Orchestra
2025 · Gleb Vitalevich Solovev, Alina Borisovna Zhidkovskaya, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 6
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Works count: 69
Citation count: 816
H-index: 14
I10-index: 20
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