Калюжная Анна Владимировна


кандидат технических наук
anna.kalyuzhnaya@itmo.ru
Структурное подразделение:
национальный центр когнитивных разработок
Должность:
старший научный сотрудник
Структурное подразделение:
факультет цифровых трансформаций
Должность:
доцент (квалификационная категория "ординарный доцент")
Профиль:
05.13.17 - Теоретические основы информатики
05.13.18 - Математическое моделирование, численные методы и комплексы программ
25.00.35 - Геоинформатика

Область интересов:
Математическое моделирование, многомерный статистический анализ, анализ временных рядов, модели на данных, интеллектуальный анализ данных, машинное обучение.
Рабочий язык:
Английский, Русский

Публикации руководителя
Выходные данные Год Индексирование в БД
Калюжная А.В., Никитин Н.О., Вычужанин П.В., Хватов А.А. Технологии прикладного искусcтвенного интеллекта в задачах численного моделирования процессов в океане // Комплексные исследования Мирового океана: материалы V Всероссийской научной конференции молодых ученых (Калининград, 18-22мая 2020г.) -2020. - С. 81-82 2020 РИНЦ
Kaluzhnaya A.V., Nikitin N.O., Vychuzhanin P., Hvatov A., Boukhanovsky A.V. Automatic Evolutionary Learning of Composite Models With Knowledge Enrichment//GECCO 2020 - Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2020, pp. 43-44 2020 Scopus, Web of Science
Sarafanov M., Kazakov E.E., Nikitin N.O., Kalyuzhnaya A.V. 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 Sensing, 2020, Vol. 12, No. 23, pp. 3865 2020 Scopus, Web of Science
Андрющенко П.Д., Деева И.Ю., Калюжная А.В., Бубнова А.В., Воскресенский А.Г., Буханов Н.В. Анализ параметров нефтегазовых месторождений с использованием байесовских сетей [Analysis of parameters of oil and gas fields using Bayesian networks] // Интеллектуальный анализ данных в нефтегазовой отрасли: сборник тезисов конференции [Data Science in Oil and Gas 2020] -2020. - С. 1-10 2020 Scopus, РИНЦ
Deeva I., Andriushchenko P.D., Kalyuzhnaya A.V., Boukhanovsky A.V. Bayesian Networks-based personal data synthesis//ACM International Conference Proceeding Series, 2020, pp. 6-11 2020 Scopus, Web of Science
Никитин Н.О., Полонская Я.С., Калюжная А.В. Интеллектуальное проектирование защитных сооружений на шельфе с применением моделей морской среды и методов оптимизации // Комплексные исследования Мирового океана: материалы V Всероссийской научной конференции молодых ученых (Калининград, 18-22мая 2020г.) -2020. - С. 141-142 2020 РИНЦ
Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Discovery of the data-driven models of continuous metocean process in form of nonlinear ordinary differential equations//Procedia Computer Science, 2020, Vol. 178, pp. 18-26 2020 Scopus, Web of Science
Maslyaev M., Hvatov A., Kalyuzhnaya A. Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12138 LNCS, pp. 86-100 2020 Scopus, Web of Science
Nikitin N.O., Polonskaia I.S., Vychuzhanin P., Barabanova I.V., Kaluzhnaya A.V. Structural Evolutionary Learning for Composite Classification Models//Procedia Computer Science, 2020, Vol. 178, pp. 414-423 2020 Scopus, Web of Science
Вычужанин П.В., Калюжная А.В. Робастная калибровка параметров численной модели ветрового волнения SWAN // Альманах научных работ молодых ученых Университета ИТМО -2019. - Т. 3. - С. 151-155 2019 РИНЦ
Nikitin N.O., Deeva I., Vychuzhanin P., Kalyuzhnaya A.V., Hvatov A., Kovalchuk S.V. Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study//GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, 2019, pp. 1583-1591 2019 Scopus, Web of Science
Deeva I., Nikitin N.O., Kalyuzhnaya A.V. Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression//Procedia Computer Science, 2019, Vol. 156, pp. 357-366 2019 Scopus, Web of Science
Maslyaev M., Hvatov A., Kalyuzhnaya A.V. Data-driven partial derivative equations discovery with evolutionary approach//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, Vol. 11540 LNCS, pp. 635-641 2019 Scopus, Web of Science
Khvatov A.A., Nikitin N., Kaluzhnaya A.V., Kosukhin S.S. Adaptation of NEMO-LIM3 model for multigrid high-resolution Arctic simulation//Ocean Modelling, 2019, Vol. 141, pp. 101427 2019 Scopus, Web of Science
Uteuov A., Kalyuzhnaya A.V., Boukhanovsky A.V. The cities weather forecasting by crowdsourced atmospheric data//Procedia Computer Science, 2019, Vol. 156, pp. 347-356 2019 Scopus, Web of Science
Vychuzhanin P., Nikitin N.O., Kalyuzhnaya A.V. Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, Vol. 11536, pp. 614-627 2019 Scopus, Web of Science
Вычужанин П.В., Калюжная А.В. Разработка системы автоматизированной верификации гидрометеорологической вычислительной системы // Альманах научных работ молодых ученых Университета ИТМО -2018. - Т. 2. - С. 114-117 2018 РИНЦ
Uteuov A., Kalyuzhnaya A. Combined document embedding and hierarchical topic model for social media texts analysis//Procedia Computer Science, 2018, Vol. 136, pp. 293-303 2018 Scopus, Web of Science
Kovalchuk S.V. ., Metsker O.G., Funkner A.A., Kisliakovskii I.O., Nikitin N.O., Kalyuzhnaya A.V., Vaganov D.A., Bochenina K.O. A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification//Complexity, 2018, pp. 5870987 2018 Scopus, Web of Science
Araya-Lopez J., Nikitin N.O., Kalyuzhnaya A.V. Case-adaptive ensemble technique for met-ocean data restoration//Procedia Computer Science, 2018, Vol. 136, pp. 311-320 2018 Scopus, Web of Science
Kovalchuk S.V., Kisliakovskii I.O., Metsker O.G., Nikitin N.O., Funkner A.A., Kalyuzhnaya A.V., Vaganov D.A., Bochenina K.O. Towards management of complex modeling through a hybrid evolutionary identification//GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, 2018, pp. 255-256 2018 Scopus
Nikitin N.O., Kalyuzhnaya A.V., Bochenina K., Kudryashov A., Uteuov A., Derevitskii I., Boukhanovsky A.V. Evolutionary ensemble approach for behavioral credit scoring//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 10862, pp. 825-831 2018 Scopus, Web of Science
Kalyuzhnaya A.V., Nikitin N.O., Butakov N.A., Nasonov D.A. Precedent-based approach for the identification of deviant behavior in social media//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 10862, pp. 846-852 2018 Scopus, Web of Science
Kalyuzhnaya A.V., Nasonov D., Ivanov S.V., Kosukhin S.S., Boukhanovsky A.V. Towards a scenario-based solution for extreme metocean event simulation applying urgent computing//Future Generation Computer Systems, 2018, Vol. 79, No. Part.2, pp. 604-617 2018 Scopus, Web of Science
Vychuzhanin P., Hvatov A., Kalyuzhnaya A.V. Anomalies Detection in Metocean Simulation Results Using Convolutional Neural Networks//Procedia Computer Science, 2018, Vol. 136, pp. 321-330 2018 Scopus, Web of Science
Nikishova A.V., Kalyuzhnaya A.V., Boukhanovsky A.V., Khukstra A. Uncertainty quantification and sensitivity analysis applied to the wind wave model SWAN//Environmental Modelling and Software, 2017, Vol. 95, pp. 344-357 2017 Scopus, Web of Science
Lopez J.L., Uteuov A., Kalyuzhnaya A.V. Quality control and data restoration of metocean Arctic data//Procedia Computer Science, 2017, Vol. 119, pp. 315-324 2017 Scopus, Web of Science
Gusarov A., Kalyuzhnaya A.V., Boukhanovsky A.V. Spatially adaptive ensemble optimal interpolation of in-situ observations into numerical vector field models//Procedia Computer Science, 2017, Vol. 119, pp. 325-333 2017 Scopus, Web of Science
Noymanee J., Nikitin N.O., Kaluzhnaya A.V. Urban Pluvial Flood Forecasting using Open Data with Machine Learning Techniques in Pattani Basin//Procedia Computer Science, 2017, Vol. 119, pp. 288-297 2017 Scopus, Web of Science
Araya-Lopez J., Kaluzhnaya A.V., Kosukhin S.S., Ivanov S.V. Data Quality Control for St. Petersburg flood warning system//Procedia Computer Science, 2016, Vol. 80, pp. 2128-2140 2016 Scopus, Web of Science
Nikitin N.O., Spirin D.S., Visheratin A.A., Kalyuzhnaya A.V. Statistics-based models of flood-causing cyclones for the Baltic Sea region//Procedia Computer Science, 2016, Vol. 101, pp. 272–281 2016 Scopus, Web of Science
Kaluzhnaya A.V., Boukhanovsky A.V. Computational uncertainty management for coastal flood prevention system//Procedia Computer Science, 2015, Vol. 51, pp. 2317-2326 2015 Scopus, Web of Science
Kosukhin S.S., Kaluzhnaya A.V., Nikishova A.V., Boukhanovsky A.V. Special aspects of wind wave simulations for surge flood forecasting and prevention//Procedia Computer Science, 2015, Vol. 66, pp. 184-190 2015 Scopus, Web of Science
Kalyuzhnaya A.V., Visheratin A.A., Dudko A., Nasonov D.A., Boukhanovsky A.V. Synthetic storms reconstruction for coastal floods risks assessment//Journal of Computational Science, 2015, Vol. 9, pp. 112-117 2015 Scopus, Web of Science
Visheratin A.A., Nasonov D.A. ., Kaluzhnaya, A.V. ., Kosukhin, S.S. . A simulation platform for atmospheric phenomena study within coastal floods in Baltic sea area//International Multidisciplinary Scientific GeoConference-SGEM: 15th International Multidisciplinary Scientific Geoconference SGEM 2015, 2015, Vol. 1, No. 2, pp. 11-18 2015 Scopus, Web of Science
Kaluzhnaya A.V., Nasonov D.A., Boukhanovsky A.V. . Ensemble risk assessment for flood warning system in st. Petersburg//14th International Multidisciplinary Scientific Geoconference SGEM 2014. GeoConference on Informatics, Geoinformatics and Remote Sensing. Conference Proceedings, 2014, Vol. 1, No. 3, pp. 247-256 2014 Scopus, Web of Science
Kosukhin, S.S. ., Kaluzhnaya, A.V. ., Nasonov D. Problem solving environment for development and maintenance of St. Petersburg’s Flood Warning System//Procedia Computer Science, 2014, Vol. 29, pp. 1667–1676 2014 Scopus, Web of Science
Ivanov, S.V. ., Kosukhin, S.S. ., Kaluzhnaya, A.V. ., Boukhanovsky, A.V. . Erratum to Simulation-based collaborative decision support for surge floods prevention in St. Petersburg [J. Comput. Sci. 3 (2012) 450-455]//Journal of Computational Science, 2013, Vol. 4, No. 5, pp. 438 2013 Scopus, Web of Science
Ivanov S.V., Kosukhin S.S., Kaluzhnaya A.V., Boukhanovsky A.V. Simulation-based collaborative decision support for surge floods prevention in St. Petersburg//Journal of Computational Science, 2012, Vol. 3, No. 6, pp. 450-455 2012 Scopus, Web of Science
Мостаманди М.В., Насонов Д.А., Калюжная А.В., Бухановский А.В. Ансамблевые прогнозы экстремальных гидрометеорологических явлений в распределенной среде CLAVIRE // Известия высших учебных заведений. Приборостроение -2011. - Т. 54. - № 10. - С. 100-102 2011 ВАК, РИНЦ