Боченина Клавдия Олеговна

Учебник, учебное пособие

Технологии машинного обучения

Учебник, учебное пособие

Написание литературного обзора

Тезисы

Исследование индивидуальной предсказуемости факта зарубежной поездки в следующем месяце для клиентов банка

Статья

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. 2020. pp. in press.

Статья

Kalinin A., Vaganov D.A., Bochenina K.O. Discovering patterns of customer financial behavior using social media data. Social Network Analysis and Mining. 2020. Vol. 10. No. 1. pp. 77.

Статья

Severiukhina O., Kesarev S.A., Bochenina K.O., Boukhanovsky A.V., Lees M.H., Sloot P. Large-scale forecasting of information spreading. Journal of Big Data. 2020. Vol. 7. No. 1. pp. 72.

Статья

Gorski P.J., Bochenina K., Holyst J.A., D'Souza R. Homophily Based on Few Attributes Can Impede Structural Balance. Physical review letters. 2020. Vol. 125. No. 7. pp. 078302.

Учебник, учебное пособие

Имитационное моделирование финансовых систем

Учебник, учебное пособие

Анализ и разработка алгоритмов

Статья

Chunaev P., Gradov T., Bochenina K. Community detection in node-attributed social networks: How structure-attributes correlation affects clustering quality. Procedia Computer Science. 2020. Vol. 178. pp. 355-364.

Статья

Vaganov D., Kalinin A., Bochenina K. On Inferring Monthly Expenses of Social Media Users: Towards Data and Approaches. Studies in Computational Intelligence. 2020. Vol. 881 SCI. pp. 854–865.

Статья

Derevitskii I., Severiukhina O., Bochenina K. Clustering Interest Graphs for Customer Segmentation Problems. 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. 2019. pp. 321-327.

Статья

Zaikin O., Derevitskii I., Bochenina K.O., Holyst J.A. Optimizing Spatial Accessibility of Company Branches Network with Constraints. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11537. pp. 332-345.

Статья

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.

Статья

Kalinin A., Vaganov D., Bochenina K. Improving statistical relational learning with graph embeddings for socio-economic data retrieval. Procedia Computer Science. 2019. Vol. 156. pp. 235-244.

Тезисы

Разработка алгоритмов прогнозирования зарубежных поездок по геопространственным финансовым данным

Тезисы

Разработка алгоритма восстановления значений атрибутов в комплексных сетях

Статья

Chunaev P., Nuzhdenko I., Bochenina K.O. Community detection in attributed social networks: A unified weight-based model and its regimes. 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. 2019. pp. 455-464.

Тезисы

Исследование индивидуальной предсказуемости факта зарубежной поездки в следующем месяце для клиентов банка

Статья

Petukhov A., Zaikin O., Bochenina K.O. Analysis of the geospatial activity profiles of bank customers. Procedia Computer Science. 2019. Vol. 156. pp. 245-254.

Статья

Stavinova E.A., Bochenina K.O. Forecasting of foreign trips by transactional data: A comparative study. Procedia Computer Science. 2019. Vol. 156. pp. 225-234.

Статья

Zaikin O., Petukhov A., Bochenina K. Bank branch network optimization based on customers geospatial profiles. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11877. pp. 201-208.

Статья

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.

Тезисы

Прогнозирование цепочек трат с использованием точечных случайных процессов

Статья

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.

Статья

Severiukhina O., Bochenina K. Segment-wise Users' Response Prediction based on Activity Traces in Online Social Networks. 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019. 2019. pp. 291-296.

Статья

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.

Статья

Derevitskii I., Severiukhina O., Bochenina K., Voloshin D., Lantseva A., Boukhanovsky A. Multiagent context-dependent model of opinion dynamics in a virtual society. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10861. pp. 142-155.

Статья

Severiukhina O., Bochenina K., Kesarev S., Boukhanovsky A. Parallel data-driven modeling of information spread in social networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10860. pp. 247-259.

Статья

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.

Статья

Nuzhdenko I., Uteuov A., Bochenina K. Detecting influential users in customer-oriented online communities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10862. pp. 832-838.

Статья

Kesarev S., Severiukhina O., Bochenina K. Parallel simulation of community-wide information spreading in online social networks. Суперкомпьютерные дни в России: труды международной конференции (Москва, 24-25 сентября 2018 г.). 2018. pp. 422-434.

Статья

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.

Статья

Vaganov D., Sheina E., Bochenina K. A comparative study of social data similarity measures related to financial behavior. Procedia Computer Science. 2018. Vol. 136. pp. 274-283.

Статья

Derevitskii I., Nuzhdenko I., Bochenina K. Identifying places of financial interest using open data. Procedia Computer Science. 2018. Vol. 136. pp. 265-273.

Статья

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.

Статья

Kesarev S., Severiukhina O., Bochenina K. Parallel simulation of community-wide information spreading in online social networks. Communications in Computer and Information Science. 2018. Vol. 965. pp. 136-148.

Статья

Grigorev A., Derevitskii I., Bochenina K. Analysis of special transport behavior using computer vision analysis of video from traffic cameras. Communications in Computer and Information Science. 2018. Vol. 858. pp. 289-301.

Статья

Bochenina K.O., Kesarev S.A., Boukhanovsky A.V. Scalable parallel simulation of dynamical processes on large stochastic Kronecker graphs. Future Generation Computer Systems. 2018. Vol. 78. pp. 502-515.

Статья

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.

Статья

Kuvshinov K., Bochenina K., Gorski P.J., Holyst J.A. Hybrid CPU-GPU simulation of hierarchical adaptive random boolean networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10659. pp. 403-414.

Статья

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.

Статья

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.

Статья

Severiukhina O., Kesarev S., Petrov M., Bochenina K. Parallel forecasting of community-wide information spread with assimilation of social network data. Procedia Computer Science. 2018. Vol. 136. pp. 228-235.

Учебник, учебное пособие

Производственная практика (научно-исследовательская работа) студентов: организация и проведение

Статья

Abuhay T.M., Kovalchuk S.V., Bochenina K.O., Mbogo G., Visheratin A.A., Kampis G., Krzhizhanovskaya V.V., Lees M.H. Analysis of Publication Activity of Computational Science Society in 2001-2017 Using Topic Modelling and Graph Theory. Journal of Computational Science. 2018. Vol. 26. pp. 193-204.

Статья

Мухина К.Д., Боченина К.О., Карсаков А.С., Бухановский А.В. Технологии когнитивной визуализации темпоральных комплексных сетей. Известия высших учебных заведений. Приборостроение. 2017. Т. 60. № 3. С. 195-203.

Статья

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.

Монография

Анализ и моделирование темпоральных комплексных сетей

Статья

Leonenko V.N., Bochenina K.O., Kesarev S.A. Influenza peaks forecasting in Russia: assessing the applicability of statistical methods. Procedia Computer Science. 2017. Vol. 108. pp. 2363-2367.

Статья

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.

Статья

Derevitskii I., Kurilkin A., Bochenina K. Use of video data for analysis of special transport movement. Procedia Computer Science. 2017. Vol. 119. pp. 262-268.

Учебник, учебное пособие

Анализ и моделирование темпоральных комплексных сетей

Учебник, учебное пособие

Методические рекомендации по организации и проведению научно-исследовательской работы студентов

Статья

Severiukhina O., Smirnov P., Bochenina K., Nasonov D., Butakov N. Adaptive load balancing of distributed multi-agent simulations on heterogeneous computational infrastructures. Procedia Computer Science. 2017. Vol. 119. pp. 139-146.

Статья

Боченина К.О., Бутаков Н.А., Бухановский А.В. Планирование исполнения наборов композитных приложений с мягкими сроками завершения во временных окнах гетерогенных вычислительных сред. Известия высших учебных заведений. Приборостроение. 2017. Т. 60. № 4. С. 295-301.

Статья

Abuhay T.M., Kovalchuk S.V. ., Bochenina K.O., Kampis G., Krzhizhanovskaya V.V. ., Lees M.H. Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory. Procedia Computer Science. 2017. Vol. 108. pp. 7-17.

Статья

Semakova A., Zvartau N., Bochenina K., Konradi A. Towards Identifying of Effective Personalized Antihypertensive Treatment Rules from Electronic Health Records Data Using Classification Methods: Initial Model. Procedia Computer Science. 2017. Vol. 121. pp. 852-858.

Статья

Bochenina K., Bilyatdinova A., Dukhanov A., Atanasulis G. Implementation and deployment of transdisciplinary learning environments during short-term educational events on computational science. International Journal of Engineering Education. 2017. Vol. 33. No. 4. pp. 1233-1241.

Статья

Lantseva A., Bochenina K.O., Ivanov, S.V. . Visualization of parallel modeling of dynamical processes on stochastic Kronecker graphs. 10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings (Azerbaijan, Baku, 12-14 October 2016). 2016. pp. 7991667.

Статья

Kogtikov N.S., Dukhanov A.V., Bochenina K.O. Modeling Knowledge Transfer and the Transdisciplinary Effect on Project-based Learning Activities. Procedia Computer Science. 2016. Vol. 80. pp. 1989-1999.

Статья

Bochenina K., Kesarev S. A parallel algorithm for modeling of dynamical processes on large stochastic Kronecker graphs. Procedia Computer Science. 2016. Vol. 80. pp. 2413-2417.

Статья

Funkner A., Kovalchuk S.V., Bochenina K. Preoperational Time Prediction for Percutaneous Coronary Intervention Using Machine Learning Techniques. Procedia Computer Science. 2016. Vol. 101. pp. 172-176.

Статья

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.

Статья

Bochenina K., Dukhanov A., Karpova M., Shmelev V. An approach to hybrid learning resource design for training professionals in Computational Science. Procedia Computer Science. 2016. Vol. 101. pp. 439–448.

Статья

Гулева 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.

Статья

Kuvshinov K., Bochenina K., Gorski P.J., Holyst J.A. Parallel Simulation of Adaptive Random Boolean Networks. Procedia Computer Science. 2016. Vol. 101. pp. 35–44.

Статья

Bochenina K.O., Butakov N., Boukhanovsky A.V. Static scheduling of multiple workflows with soft deadlines in non-dedicated heterogeneous environments. Future Generation Computer Systems. 2016. Vol. 55. pp. 51-61.

Статья

Слоот П., Холыст Я., Кампис Ж., Лис М., Митягин С.А., Иванов С.В., Боченина К.О., Гулева 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.

Статья

Dukhanov A.V., Bilyatdinova A.Z., Bochenina K.O., Karbovskiy V.A. . The Approach to Design of STEM Courses' Learning Resources based on Students' Activity with the use of Scientific Resources' Databases. Proceedings - Frontiers in Education Conference, FIE. 2015. pp. 7344417.

Статья

Bochenina K.O., Butakov N., Dukhanov A.V., Nasonov D.A. A clustering-based approach to static scheduling of multiple workflows with soft deadlines in heterogeneous distributed systems. Procedia Computer Science. 2015. Vol. 51. pp. 2827–2831.

Статья

Bochenina K.O. A comparative study of scheduling algorithms for the multiple deadline-constrained workflows in heterogeneous computing systems with time windows. Procedia Computer Science. 2014. Vol. 29. pp. 509–522.

Статья

Bochenina K.O., Boukhanovskaya I.L., Bilyatdinova A.Z., Dukhanov A.V., Lutsenko A.E. Using a cyclic model of knowledge transfer for the development of transdisciplinary learning environments. Proceedings - Frontiers in Education Conference, FIE. 2014. pp. 7044290.

Статья

Dukhanov A.V., Karpova M.S., Bochenina K.O. Design Virtual Learning Labs for Courses in Computational Science with Use of Cloud Computing Technologies. Procedia Computer Science. 2014. Vol. 29. pp. Pages 2472–2482.

Статья

Bochenina K., Dukhanov A. An Approach to Rapid Development of Problem-oriented Educational Services Based On Scientific Research. WIT Transactions on Engineering Sciences. 2014. Vol. 93. pp. 877-884.

Статья

Arseneva A.Z., Dukhanov A.V., Bochenina K.O., Boukhanovsky A.V., Krzhizhanovskaya V.V., Sloot P. Dutch-Russian Double Degree Master's Program Curricula in Computational Science and High Performance Computing. Proceedings - Frontiers in Education Conference, FIE. 2014. pp. 7044195.