Zakharova A., Alexandrov D., Khodorchenko M., Butakov N., Vasilev A., Savchenko M., Grigorievskiy A. Stalactite: toolbox for fast prototyping of vertical federated learning systems. RecSys 2024 - 18th ACM Conference on Recommender Systems. 2024. pp. 1187–1190.
Zakharova A., Sorokina D., Alexandrov D., Butakov N. Towards Ontology-based End-to-end Domain-oriented KBQA System. Lecture Notes in Networks and Systems. 2023. Vol. 585. pp. 37-47.
Ходорченко М.А., Бутаков Н.А., Насонов Д.А., Фирулик М.Ю. Программный фреймворк для оптимизации гиперпараметров тематических моделей с аддитивной регуляризацией [Software framework for hyperparameters optimization of models with additive regularization]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Т. 23. № 1(143). С. 112–120.
Alexandrov D., Zakharova A., Butakov N. Does Noise Really Matter? Investigation into the Influence of Noisy Labels on Bert-Based Question Answering System. 17th IEEE International Conference on Semantic Computing, ICSC 2023. 2023. pp. 33-40.
Khodorchenko M., Butakov N., Nasonov D. Improved Evolutionary Approach for Tuning Topic Models with Additive Regularization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 14001. pp. 409–420.
Khodorchenko M., Butakov N., Sokhin T., Teryoshkin S. Surrogate-based Optimization of Learning Strategies for Additively Regularized Topic Models. Logic Journal of the IGPL. 2022. Vol. 31. No. 2. pp. 287–299.
Khodorchenko M., Butakov N., Nasonov D. Towards Better Evaluation of Topic Model Quality. Proceedings of the 32nd Conference of Open Innovations Association FRUCT. 2022. pp. 128-134.
Alexandrov D., Butakov N., Sokhin T. The Weak Supervision Approach for Question Answering over Text Using Triplets Recovering with QA-Based Rankers. Advances in Intelligent Systems and Computing. 2022. Vol. 1401. pp. 167-177.
Zamiralov A., Sohin T., Butakov N.A. Knowledge graph mining for realty domain using dependency parsing and QAT models. Procedia Computer Science. 2021. Vol. 193. pp. 32-41.
Egorov A., Alexandrov D., Butakov N. Towards a Toolbox for Mining QA-pairs and QAT-triplets from Conversational Data of Public Chats. Proceedings of the 29th Conference of Open Innovations Association FRUCT. 2021. pp. 94-101.
Khodorchenko M., Teryoshkin S., Sokhin T., Butakov N. Optimization of Learning Strategies for ARTM-Based Topic Models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2020. Vol. 12344 LNAI. pp. 284-296.
Nevezhin E.E., Butakov N., Khodorchenko M., Petrov M., Nasonov D. Topic-driven Ensemble for Online Advertising Generation. Proceedings of the 28th International Conference on Computational Linguistics. 2020. pp. 2273–2283.
Visheratin A.A., Struckov A., Yufa S., Muratov A., Nasonov D.A., Butakov N.A., Kuznetsov Y., May M. Peregreen - Modular database for efficient storage of historical time series in cloud environments. USENIX Annual Technical Conference, ATC 2020. 2020. pp. 589-601.
Egorov A., Sokhin T., Butakov N.A. Towards a Retrospective One-Class Oriented Approach to Parents Detection in Social Media. Proceedings of the 27th Conference of Open Innovations Association FRUCT. 2020. pp. 54-60.
Sokhin T., Khodorchenko M., Butakov N. Unsupervised Neural Aspect Extraction with Related Terms. Communications in Computer and Information Science. 2020. Vol. 1292. pp. 75-86.
Safiulin I.R., Butakov N.A., Alexandrov D., Nasonov D.A. Ensemble-based method of answers retrieval for domain specific questions from text-based documentation. Procedia Computer Science. 2019. Vol. 156. pp. 158-165.
Sokhin T., Butakov N.A., Nasonov D.A. User Profiles Matching for Different Social Networks Based on Faces Identification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11734 LNAI. pp. 551-562.
Metsker O.G., Trofimov E., Petrov M., Butakov N.A. Russian Court Decisions Data Analysis Using Distributed Computing and Machine Learning to Improve Lawmaking and Law Enforcement. Procedia Computer Science. 2019. Vol. 156. pp. 264-273.
Бутаков Н.А., Петров М.В. Учебно-методическое пособие "ОБРАБОТКА БОЛЬШИХ ДАННЫХ С APACHE SPARK". Санкт-Петербург: Университет ИТМО, 2019. 2019. С. 1-52.
Nasonov D.A., Butakov N.A., Melnik M., Visheratin A.A., Linev A., Shvets P., Sobolev S., Mukhina K.D. The multi-level adaptive approach for efficient execution of multi-scale distributed applications with dynamic workload. Communications in Computer and Information Science. 2019. Vol. 965. pp. 675-686.
Обработка больших данных в Apache Spark
Fatkulin T., Butakov N., Dzhafarov B., Petrov M., Voloshin D. An Approach to Location Extraction from Russian Online Social Networks: Road Accidents Use Case. Advances in Intelligent Systems and Computing. 2018. Vol. 649. pp. 147-156.
Butakov N., Petrov M., Mukhina K., Nasonov D.A., Kovalchuk S.V. Unified domain-specific language for collecting and processing data of social media. Journal of Intelligent Information Systems. 2018. Vol. 51. No. 2. pp. 389-414.
Butakov N., Fatkulin T., Voloshin D. Measuring social responsiveness for improved handling of extreme situations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10860. pp. 341-351.
Kalyuzhnaya A.V., Nikitin N.O., Butakov N.A., Nasonov D.A. Precedent-based approach for the identification of deviant behavior in social media. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 10862. pp. 846-852.
Visheratin A.A., Melnik M., Nasonov D.A., Butakov N., Boukhanovsky A.V. Hybrid Scheduling Algorithm in Early Warning Systems. Future Generation Computer Systems. 2018. Vol. 79. No. Part.2. pp. 630-642.
Sokhin T., Butakov N. Semi-automatic sentiment analysis based on Topic modeling. Procedia Computer Science. 2018. Vol. 136. pp. 284-292.
Petrov M., Butakov N., Nasonov D., Melnik M. Adaptive performance model for dynamic scaling Apache Spark Streaming. Procedia Computer Science. 2018. Vol. 136. pp. 109-117.
Melnik M., Nasonov D., Butakov N. Scheduling of Streaming Data Processing with Overload of Resources using Genetic Algorithm. IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence. 2018. pp. 232-241.
Khodorchenko M., Butakov N. Developing an approach for lifestyle identification based on explicit and implicit features from social media. Procedia Computer Science. 2018. Vol. 136. pp. 236-245.
Pavlova O., Kazin P., Butakov N.A., Hagen S. The Effectiveness of Leading Russian Universities in Achieving Graduate-Level Employability from Social Network Data. Communications in Computer and Information Science. 2017. Vol. 745. pp. 102-112.
Ледовая Я.А., Паничева П.В., Причисленко А.Г., Бутаков Н.А. Научная составляющая текстов по психологии, публикующихся в социальной сети "ВКонтакте" [The scientific component of psychological texts published in the social network "Vkontakte"]. Вопросы психологии [Voprosy Psikhologii]. 2017. Т. 6. С. 79-91.
Павлова О.Н., Казин Ф.А., Бутаков Н.А. Профильность трудоустройства выпускников вузов: анализ данных социальных сетей. Университетское управление: практика и анализ. 2017. Т. 21. № 3(109). С. 38-56.
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.
Dzhafarov B., Voloshin D., Petrov M., Butakov N. Modelling multistage information spreading in dynamic complex networks. Procedia Computer Science. 2017. Vol. 119. pp. 376–385.
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.
Nasonov D.A., Visheratin A.A., Butakov N., Shindyapina N., Melnik M., Boukhanovsky A.V. Hybrid Evolutionary Workflow Scheduling Algorithm for Dynamic Heterogeneous Distributed Computational Environment. Journal of Applied Logic. 2017. Vol. 24. pp. 50-61.
Liniov A., Kustikova V., Sysoyev A., Zhiltsov M., Polyakov I., Nasonov D.A. ., Butakov N.A. Architecture of Middleware to Provide the Multiscale Modelling Using Coupling Templates. Communications in Computer and Information Science. 2017. Vol. 793. pp. 468-481.
Анализ и моделирование темпоральных комплексных сетей
Fatkulin T., Butakov N., Krikunov A., Voloshin D. Accident monitoring framework based on online social network sensing. Procedia Computer Science. 2017. Vol. 119. pp. 278–287.
Анализ и моделирование темпоральных комплексных сетей
Butakov N., Nasonov D., Svitenkov A., Radice A., Boukhanovsky A.V. Quality-based approach to urgent workflows scheduling. Procedia Computer Science. 2016. Vol. 80. pp. 2074-2085.
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.
Бутаков Н.А., Насонов Д.А., Мельник М.А., Вишератин А.А. Гибридные методы планирования экстренных композитных приложений. Труды Международной научной конференции СРТ2015 (Ларнака, 10-17мая 2015г.). 2016. С. 182-185.
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.
Butakov N., Petrov M., Radice A. Multitenant Approach to Crawling of Online Social Networks. Procedia Computer Science. 2016. Vol. 101. pp. 115-124.
Nasonov D.A., Melnik M., Shindyapina N., Butakov N. Metaheuristic Coevolution Workflow Scheduling In Cloud Environment. IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence. 2015. pp. 252-260.
Trofimenko T.B., Visheratin A.A., Melnik M.A., Mukhina K.D., Butakov N. Graphical framework for scientific papers clustering. Application of Information and Communication Technologies (AICT), 2015 9th International Conference on. 2015. pp. 423-427.
Butakov N., Chuprova Y., Knyazkov K., Shindyapina N., Boukhanovsky A.V. Evolutionary-based framework for optimizing the spread of information on Twitter. Procedia Computer Science. 2015. Vol. 66. pp. 287-296.
Butakov N.A., Nasonov D.A., Knyazkov K.V., Karbovskii V.A., Chuprova I.K. The Multi-Agent Simulation-Based Framework for Optimization of Detectors Layout in Public Crowded Places. Procedia Computer Science. 2015. Vol. 51. pp. 522-531.
Visheratin A.A., Melnik M., Butakov N., Nasonov D.A. Hard-deadline constrained workflows scheduling using metaheuristic algorithms. Procedia Computer Science. 2015. Vol. 66. pp. 506-514.
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.
Nasonov D.A. ., Butakov N.A. Hybrid Scheduling Algorithm in Early Warning Systems. Procedia Computer Science. 2014. Vol. 29. pp. 1677–1687.
Butakov N.A., Nasonov D., Boukhanovsky A.V. Evolutionary Inheritance in Workflow Scheduling Algorithms within Dynamically Changing Heterogeneous Environments. ECTA 2014 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications. 2014. pp. 160 -168.
Nasonov D.A., Butakov N.A., Balakhontzeva M.A., Knyazkov K.V., Boukhanovsky A.V. Hybrid Evolutionary Workflow Scheduling Algorithm for Dynamic Heterogeneous Distributed Computational Environment. Advances in Intelligent Systems and Computing. 2014. Vol. 299. pp. 83-92.
Butakov N., Nasonov D. Co-evolutional genetic algorithm for workflow scheduling in heterogeneous distributed environment. 8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings. 2014. pp. 7035936.
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Греция, Афины