Huaman I., Plesovskaya E.P., Leonenko V.N. Matching model complexity with data detail: influenza propagation modeling as a case study. 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). 2022. pp. 650-654.
Leonenko V. A Hybrid Modeling Framework for City-Scale Dynamics of Multi-strain Influenza Epidemics. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2022. Vol. 13352. pp. 164-177.
Pasala K., Putnikov S., Leonenko V.N. Calibrating deterministic compartmental models of infection dynamics using neural network and data sampling approaches. Proceedings - 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2022. 2022. pp. 100-103.
Вероятностные методы анализа данных: учебно-методическое пособие по выполнению лабораторных работ
Leonenko V.N. Modeling Co-circulation of Influenza Strains in Heterogeneous Urban Populations: The Role of Herd Immunity and Uncertainty Factors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 663-669.
Danilenko D.M., Eropkin M.Y., Leonenko V.N., Konovalova N., Petrova P., Zheltukhina A., Vassilieva A. Assessment of rat polyclonal antisera's suitability in hemagglutination inhibition assay for influenza surveillance and antigenic mapping. Journal of Virological Methods. 2021. Vol. 293. pp. 114170.
Leonenko V.N. Herd immunity levels and multi-strain influenza epidemics in Russia: a modelling study. Russian Journal of Numerical Analysis and Mathematical Modelling. 2021. Vol. 36. No. 5. pp. 279-291.
Kaliberda Y., Leonenko V.N., Artyukh V. Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 494-505.
Leonenko V.N., Kaliberda Y., Artyuk V. A modeling framework for decision support in periprosthetic joint infection treatment. Studies in health technology and informatics. 2021. Vol. 285. pp. 106-111.
Leonenko V.N., Arzamastsev S., Bobashev G. Contact patterns and influenza outbreaks in Russian cities: A proof-of-concept study via agent-based modeling. Journal of Computational Science. 2020. Vol. 44. pp. 101156.
Попова Е.П., Леоненко В.Н. Прогнозирование реакции пользователей в социальных сетях методами машинного обучения [Machine learning methods for forecasting of social network users’ reactio]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2020. Т. 20. № 1(125). С. 118-124.
Leonenko V.N., Kovalchuk S.V. Analyzing the spatial distribution of individuals predisposed to arterial hypertension in Saint Petersburg using synthetic populations. ITM Web of Conferences. 2020. Vol. 31. pp. 03002.
Leonenko V.N. Analyzing the Spatial Distribution of Acute Coronary Syndrome Cases Using Synthesized Data on Arterial Hypertension Prevalence. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12140 LNCS. pp. 483-494.
Leonenko V.N., Danilenko D.M. Modeling the dynamics of population immunity to influenza in Russian cities. ITM Web of Conferences. 2020. Vol. 31. pp. 03001.
Owusu P.A., Leonenko V.N., Mamchik N.A., Skorb E.V. Modeling the growth of dendritic electroless silver colonies using hexagonal cellular automata. Procedia Computer Science. 2019. Vol. 156. pp. 43-48.
Карпова Л.С., Соминина А.А., Даниленко Д.М., Волик К.М., Леоненко В.Н. Оценка эффективности базовых линий и порогов интенсивности эпидемий по результатам традиционного надзора за гриппом. Эпидемиология и вакцинопрофилактика. 2019. Т. 18. № 4. С. 4-13.
Bates S., Leonenko V.N., Rineer J., Bobashev G. Using synthetic populations to understand geospatial patterns in opioid related overdose and predicted opioid misuse. Computational and Mathematical Organization Theory. 2019. Vol. 25. No. 1. pp. 36-47.
Leonenko V.N., Bobashev G. Analyzing influenza outbreaks in Russia using an age-structured dynamic transmission model. Epidemics. 2019. Vol. 29. pp. 100358.
Leonenko V.N., Lobachev A.I., Bobashev G. Spatial modeling of influenza outbreaks in Saint Petersburg using synthetic population. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11536. pp. 492-505.
Bates S., Leonenko V.N., Rineer J., Bobashev G. Using synthetic populations to understand geospatial patterns in opioid related overdose and predicted opioid misuse. International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation, BRiMS 2018. 2018.
Leonenko V.N., Ivanov S.V. Prediction of influenza peaks in Russian cities: comparing the accuracy of two SEIR models. Mathematical Biosciences and Engineering. 2018. Vol. 15. No. 1. pp. 209–232.
Leonenko V.N., Novoselova Y.K. Influence of External Factors on Inter-City Influenza Spread in Russia: A Modeling Approach. Trends in Biomathematics: Modeling, Optimization and Computational Problems. 2018. pp. 375-389.
Математическая эпидемиология: учебно-методическое пособие по выполнению лабораторных работ
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.
Анализ и моделирование темпоральных комплексных сетей
Artzrouni M., Leonenko V.N., Mara T.A. A syringe-sharing model for the spread of HIV: application to Omsk, Western Siberia. Mathematical Medicine and Biology. 2017. Vol. 34. No. 1. pp. 15-37.
Seleznev N.E., Leonenko V.N. Absolute humidity anomalies and the influenza onsets in Russia: A computational study. Procedia Computer Science. 2017. Vol. 119. pp. 224-233.
Seleznev N.E., Leonenko V.N. Boosting Performance of Influenza Outbreak Prediction Framework. Communications in Computer and Information Science. 2017. Vol. 745. pp. 374-384.
Анализ и моделирование темпоральных комплексных сетей
Леоненко В.Н., Новоселова Ю.К., Онг К. Предсказание пиков эпидемий гриппа в Санкт-Петербурге с помощью популяционных математических моделей. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2016. Т. 16. № 6(106). С. 1145–1148.
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.
Leonenko V.N., Ivanov S.V. Fitting the SEIR model of seasonal influenza outbreak to the incidence data for Russian cities. Russian Journal of Numerical Analysis and Mathematical Modelling. 2016. Vol. 31. No. 5. pp. 267-279.
Leonenko V.N., Novoselova Y.K., Ong K.M. Influenza Outbreaks Forecasting in Russian Cities: Is Baroyan-rvachev Approach Still Applicable?. Procedia Computer Science. 2016. Vol. 101. pp. 282-291.
Leonenko V.N., Ivanov S.V., Novoselova Y.K. A computational approach to investigate patterns of acute respiratory illness dynamics in the regions with distinct seasonal climate transitions. Procedia Computer Science. 2016. Vol. 80. pp. 2402-2413.
Leonenko V.N., Pertsev N.V., Artzrouni M. Using high performance algorithms for the hybrid simulation of disease dynamics on CPU and GPU. Procedia Computer Science. 2015. Vol. 51. pp. 150-159.
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Великобритания
Российская Федерация
Российская Федерация, Санкт-Петербург
Российская Федерация
Мексика
Российская Федерация, Москва
Российская Федерация, Санкт-Петербург
Российская Федерация
Российская Федерация, Санкт-Петербург
США
Российская Федерация, Санкт-Петербург
Мексика
Мальта
Российская Федерация
США, Дархам
Италия, Трапани
Российская Федерация, Санкт-Петербург