Научные руководители
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Павлова Валентина Юрьевнакандидат технических наук guleva@itmo.ru Структурное подразделение: факультет цифровых трансформаций Должность: доцент (квалификационная категория "ординарный доцент") Профиль: 1.2.1. - Искусственный интеллект и машинное обучение Область интересов: Распределённые интеллектуальные системы, динамика мультиагентного обучения с подкреплением, влияние топологии структуры взаимодействий интеллектуальных агентов. Рабочий язык: Английский, Русский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| Guleva V.Y., Shikov E.N. Proportion of Similar Neighbours and Optimal Weight of Neighbourhood Contribution in Learning Dynamics of Networked MARL//7th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2023, 2023, pp. 91-94 | 2023 | Scopus, Web of Science |
| Shumkovskii P., Guleva V.Y. Investigation of optimal parameters in multiagent dynamical system//Procedia Computer Science, 2023, Vol. 229, pp. 325-334 | 2023 | Scopus, Web of Science |
| Павлова В.Ю., Кованцев А.Н., Суриков А.Г., Чунаев П.В., Горнова Г.В., Бухановский А.В. Ценностно-ориентированное моделирование принятия экономических решений в условиях нестационарности внешней среды [Value-based modeling of economic decision making in conditions of unsteady environment] // Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics] -2023. - Т. 23. - № 1(143). - С. 121-135 | 2023 | RSCI, Scopus, Белый список, ВАК, РИНЦ |
| Takenova K., Guleva V.Y. Determination of Optimal Locations for ATM Network Service Points//Procedia Computer Science, 2023, Vol. 229, pp. 198-207 | 2023 | Scopus, Web of Science |
| Kondakov M.V., Guleva V.Y. Dynamics of Multiagent Reinforcement Learning Compared to Synchronisation Dynamics of Kuramoto Oscillators//Procedia Computer Science, 2022, Vol. 212, pp. 1-10 | 2022 | Scopus, Web of Science |
| Guleva V. Node Correlation Effects on Learning Dynamics in Networked Multiagent Reinforcement Learning//6th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2022, 2022, pp. 110-113 | 2022 | Scopus |
| Pavlova V.I., Shikov E., Bochenina K. Modelling Influence of Motivation on Efficient Tasks Distribution for Given Team-project Correspondence//11th International Conference on Operations Research and Enterprise Systems, ICORES, 2022, pp. 185-192 | 2022 | Scopus, Web of Science |
| Zaykov A., Vaganov D.A., Guleva V.Y. Diffusion Dynamics Prediction on Networks Using Sub-graph Motif Distribution//Studies in Computational Intelligence, 2021, Vol. 943, pp. 482-493 | 2021 | Scopus, Web of Science |
| Guleva V.Y., Andreeva P., Vaganov D.A. Subgraphs of interest social networks for diffusion dynamics prediction//Entropy, 2021, Vol. 23, No. 4, pp. 492 | 2021 | Scopus, Web of Science |
| Nosova V., Guleva V.Y. Purchasing Patterns in Luxury Consumption: Transitional Transaction Categories//Procedia Computer Science, 2021, Vol. 193, pp. 351-360 | 2021 | Scopus, Web of Science |
| Павлова В.Ю., Ваганов Д.А. Структурные блоки социальный сетей для прогнозирования динамики процессов на них // Научные исследования и инновации: статьи участников Международной научно-практической конференции (г. Саратов) -2021. - С. 9-20 | 2021 | |
| Guleva V.Y. Estimation of Tipping Points for Critical and Transitional Regimes in the Evolution of Complex Interbank Network//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12137 LNCS, pp. 432-444 | 2020 | Scopus, Web of Science |
| Guleva V.Y., Shikov E., Bochenina K.O., Kovalchuk S.V., Alodjants A.P., Bukhanovsky A.V. . Emerging complexity in distributed intelligent systems//Entropy, 2020, Vol. 22, No. 12, pp. 1437 | 2020 | Scopus, Web of Science |
| Bardina M., Vaganov D.A., Guleva V.Y. Socio-demographic features meet interests: On subscription patterns and attention distribution in online social media//Procedia Computer Science, 2020, Vol. 178, pp. 162-171 | 2020 | Scopus, Web of Science |
| Vaganov D., Bardina M.G., Guleva V. From Generality to Specificity: On Matter of Scale in Social Media Topic Communities//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, Vol. 12140 LNCS, pp. 305-318 | 2020 | Scopus, Web of Science |
| Vaganov D.A., Guleva V.Y., Bochenina K.O. Social media group structure and its goals: Building an order//Studies in Computational Intelligence, 2019, Vol. 813, pp. 473-483 | 2019 | Scopus, Web of Science |
| Guleva V.Y., Bochenina K.O. Graph theoretical approach to bow-tie interbank networks reconstruction//Studies in Computational Intelligence, 2018, Vol. 689, pp. 1184-1194 | 2018 | Scopus, Web of Science |
| Kesarev S.A., Guleva V.Y., Severiukhina O., Bochenina K.O. A comparative study of graph partitioning algorithms for simulation of information spread in a multi-community landscape//Procedia Computer Science, 2018, Vol. 136, pp. 218-227 | 2018 | Scopus, Web of Science |
| Vaganov D., Funkner A., Kovalchuk S., Guleva V., Bochenina K. Forecasting Purchase Categories with Transition Graphs Using Financial and Social Data//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 11185, pp. 439-454 | 2018 | Scopus, Web of Science |
| Guleva V.Y., Vaganov D., Voloshin D.V., Bochenina K.O. Topology of thematic communities in online social networks: a comparative study//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, Vol. 10860, pp. 260-273 | 2018 | Scopus, Web of Science |
| Guleva V.Y., Bochenina K.O., Skvorcova M.V., Boukhanovsky A.V. A simulation tool for exploring the evolution of temporal interbank networks//JASSS. The Journal of Artificial Societies and Social Simulation, 2017, Vol. 20, No. 4, pp. 15 | 2017 | Scopus, Web of Science |
| Guleva V.Y., Povazhnyuk V.V., Bochenina K.O., Boukhanovsky A.V. Russian Interbank Network Reconstruction via Metaheuristic Algorithm//Procedia Computer Science, 2017, Vol. 108, pp. 1318–1326 | 2017 | Scopus, Web of Science |
| Guleva V.Y., Amuda A., Bochenina K.O. The Impact of Network Topology on Banking System Dynamics//Communications in Computer and Information Science, 2016, Vol. 674, pp. 596–599 | 2016 | Scopus, Web of Science |
| Mukhina K.D., Guleva V.Y., Karsakov A. Temporal Branching Approach for Visual Exploration of Simulation Process in Dynamic Networks//Procedia Computer Science, 2016, Vol. 101, pp. 407–415 | 2016 | Scopus, Web of Science |
| Павлова В.Ю., Амуда А., Боченина К.О., Слоот П. Влияние топологической структуры на динамику темпоральной сети // Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics] -2016. - Т. 16. - № 6(106). - С. 1141–1144 | 2016 | ВАК, РИНЦ |
| Слоот П., Холыст Я., Кампис Ж., Лис М., Митягин С.А., Иванов С.В., Боченина К.О., Павлова В.Ю., Мухина К.Д., Насонов Д.А., Бутаков Н.А., Леоненко В.Н., Ланцева А.А., Бухановский А.В. Суперкомпьютерное моделирование критических явлений в сложных социальных системах // Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics] -2016. - Т. 16. - № 6(106). - С. 967-995 | 2016 | ВАК, РИНЦ |
| Guleva V.Y. The combination of topology and nodes' states dynamics as an early-warning signal of critical transition in a banking network model//Procedia Computer Science, 2016, Vol. 80, pp. 1755-1764 | 2016 | Scopus, Web of Science |
| Guleva V.Y., Skvorcova M.V., Boukhanovsky A.V. Using multiplex networks for banking systems dynamics modelling//Procedia Computer Science, 2015, Vol. 66, pp. 257-266 | 2015 | Scopus, Web of Science |
| Guleva V.Y., Dukhanov A.V. Influence of the External Environment Behaviour on the Banking System Stability//Procedia Computer Science, 2015, Vol. 51, pp. 1603–1612 | 2015 | Scopus, Web of Science |