Кованцев Антон Николаевич

Статья

Zakharov K., Kovantsev A., Boukhanovsky A. Coupling of Lagrangian Mechanics and Physics-Informed Neural Networks for the Identification of Migration Dynamics. Smart Cities. 2025. Vol. 8. No. 2. pp. 42.. doi: 10.3390/smartcities8020042

Статья

Zakharov K., Kovantsev A., Boukhanovsky A. A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2025. Vol. 15903. pp. 238-252.. doi: 10.1007/978-3-031-97626-1_17

Статья

Zakharov K., Aghajanyan A., Kovantsev A., Boukhanovsky A. Forecasting Population Migration in Small Settlements Using Generative Models under Conditions of Data Scarcity. Smart Cities. 2024. Vol. 7. No. 5. pp. 2495-2513.. doi: 10.3390/smartcities7050097

Статья

Kovantsev A. Consumer Behaviour Timewise Dependencies Investigation by Means of Transition Graph. Studies in Computational Intelligence. 2024. Vol. 1144. pp. 80-90.. doi: 10.1007/978-3-031-53503-1_7

Статья

Chumakov S., Kovantsev A., Surikov A. Generative approach to Aspect Based Sentiment Analysis with GPT Language Models. Procedia Computer Science. 2023. Vol. 229. pp. 284-293.. doi: 10.1016/j.procs.2023.12.030

Статья

Bezbochina A., Stavinova E., Kovantsev A., Chunaev P. Enhancing Predictability Assessment: An Overview and Analysis of Predictability Measures for Time Series and Network Links. Entropy. 2023. Vol. 25. No. 11. pp. 1542.. doi: 10.3390/e25111542

Статья

Koshkareva M., Kovantsev A. Crisis Behaviour Strategy Recognition Using Transactional Data. Procedia Computer Science. 2023. Vol. 229. pp. 208-217.. doi: 10.1016/j.procs.2023.12.022

Статья

Koshkareva M., Kovantsev A. Enhancement of Consumption Forecasting by Customers’ Behavioral Predictability Segregation. Engineering Proceedings. 2023. Vol. 39. No. 1. pp. 61.. doi: 10.3390/engproc2023039061

Статья

Kovantsev A. Probabilistic criteria for time-series predictability estimation. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Vol. 23. No. 1(143). pp. 105-111.. doi: 10.17586/2226-1494-2023-23-1-105-111

Статья

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.. doi: 10.17586/2226-1494-2023-23-1-121-135

Статья

Prusskiy D., Kovantsev A., Chunaev P. Dynamic Transition Graph for Estimating the Predictability of Financial and Economical Processes. Studies in Computational Intelligence. 2023. Vol. 1077. pp. 478–489.. doi: 10.1007/978-3-031-21127-0_39

Статья

Bezbochina A., Stavinova E., Kovantsev A., Chunaev P. Dynamic Classification of Bank Clients by the Predictability of Their Transactional Behavior. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2022. Vol. 13350. pp. 502-515.. doi: 10.1007/978-3-031-08751-6_36

Статья

Shumkovskii P., Kovantsev A., Stavinova E., Chunaev P. MetaSieve: Performance vs. Complexity Sieve for Time Series Forecasting. 2022 IEEE International Conference on Data Mining Workshops (ICDMW). 2022. pp. 1-10.. doi: 10.1109/icdmw58026.2022.00037

Статья

Kovantsev A., Chunaev P., Bochenina K. Evaluating Time Series Predictability via Transition Graph Analysis. 2021 International Conference on Data Mining Workshops (ICDMW). 2021. pp. 1039-1046.. doi: 10.1109/ICDMW53433.2021.00135

Статья

Kovantsev A., Gladilin P. Analysis of multivariate time series predictability based on their features. 20th IEEE International Conference on Data Mining Workshops, ICDMW 2020. 2020. pp. 348-355.. doi: 10.1109/ICDMW51313.2020.00055