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.
Vaganov D., Shikov E., Lysenko A., Andreeva P. Ontological model identification based on data from heterogeneous sources. Procedia Computer Science. 2023. Vol. 229. pp. 305-314.
Lysenko A., Shikov E., Bochenina K.O. Combination of individual and group patterns for time-sensitive purchase recommendation. International Journal of Data Science and Analytics. 2023. Vol. 16. No. 2. pp. 163-172.
Glukhov G., Zhdanov P., Shikov E. Interpretable Embeddings for Geographic Transactional Activity Analysis. Procedia Computer Science. 2023. Vol. 229. pp. 357-366.
Тезисы в сборнике трудов XII Конгресса молодых ученых
Shikov E., Glukhov G., Egorova E. Customer transactional behaviour analysis through embedding interpretation. Procedia Computer Science. 2022. Vol. 212. pp. 284-294.
Guleva 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.
Kalinin A., Vaganov D.A., Shikov E. Relations Reconstruction in a Knowledge Graph of a Socioeconomic System. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2022. Vol. 13088. pp. 150-161.
Lysenko A., Deeva I., Shikov E. MVAESynth: a unified framework for multimodal data generation, modality restoration, and controlled generation. Procedia Computer Science. 2021. Vol. 193. pp. 422-431.
Shikov E., Bardina M., Vaganov D. Predicting customer flow for the selected location based on transactional data. Procedia Computer Science. 2021. Vol. 193. pp. 361-370.
Stavinova E., Shikov E., Vaganov D. From temporal to spatial networks: on inferring missing coordinates of debit card transactions. Procedia Computer Science. 2020. Vol. 178. pp. 172-181.
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.
Композиция вариационных автоэнкодеров для задачи мультимодального моделирования профиля клиента
Прогнозирование цепочек трат с использованием точечных случайных процессов
Shikov E.N., Bochenina K.O. Forecasting Purchase Categories by Transactional Data: A Comparative Study of Classification Methods. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11538. pp. 249-262.
Lysenko A.V., Shikov E.N., Bochenina K.O. Temporal point processes for purchase categories forecasting. Procedia Computer Science. 2019. Vol. 156. pp. 255-263.
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург