Muratov S., Muravyov S. Formation of a Single Vector of Attributes for Data from Monitoring and Journalism Systems. Proceedings of the 39th Conference of Open Innovations Association FRUCT. 2026. pp. 201-207.. doi: 10.23919/FRUCT70069.2026.11506554
Программный конвейер, на основе свёрточных нейронных сетей, для обнаружения межвидовых геномных перестроек на основе данных hi-c
Двухстадийная латентная дискретная текстовая диффузия // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2026]
Kulin N., Блеканов И.С., Muravyov S., Dragomirov D.S. RIDER: Reproducible Evolutionary Prompt Search for NLP with Adaptive Operator Allocation. 31st International Conference on Computational Linguistics and Intelligent Technologies "Dialogue". 2026.
Baikalov V., Bagautdinov I., Muravyov S. Mitigating Collaborative Semantic ID Staleness in Generative Retrieval. arXiv.org [база препринтов]. 2026.. doi: 10.1145/3805712.3809877
Serdiukov A., Dravgelis V., Smutin D., Taldaev A., Ivanov A., Adonin L., Muravyov S. Efficient and Verified Research Data Extraction with LLM. Algorithms. 2026. Vol. 19. No. 3. pp. 214.. doi: 10.3390/a19030214
Кулин Н.И., Драгомиров Д.С., Муравьёв С.Б., Блеканов И.С. Метаэвристическая оптимизация промптов для больших языковых моделей на основе многорукого бандита и детерминантных точечных процессов. Инженерный вестник Дона [электронный журнал]. 2026. № 7(139).
Gavrilov A.O., Gazzaev A.V., Мозиков М., Makarov I.A., Muravyov S.B. Inspectable Control for Structure-Preserving Software Regeneration. 34th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE Companion ’26). 2026. pp. 1-2.. doi: 10.1145/3803437.3807386
Gavrilov A., Gazzaev A., Muravyov S. Where Quality Breaks in Compressed Short-Text Generation: Staged Bottleneck Localization. Proceedings of the 39th Conference of Open Innovations Association FRUCT. 2026. pp. 69-76.. doi: 10.23919/FRUCT70069.2026.11506553
Kulin N., Zhuravlev V., Khairullin A., Muravyov S. RE-GPS: Reflective Evolutionary Gradient Prompting System for Large Language Models. Proceedings of the 39th Conference of Open Innovations Association FRUCT. 2026. pp. 157-163.. doi: 10.23919/FRUCT70069.2026.11506566
Кулин Н.И., Dragomirov D.S., Muravev S.B., Sukhorukov D.A., Мозиков М., Макаров И. RIDER: Evolutionary Prompt Optimization with Adaptive Operator Selection for Software Engineering. Proceedings of the ACM on Software Engineering. 2026. No. FSE.
Kulin N., Zhuravlev V., Khairullin A., Muravyov S. CoolPrompt: Automatic Prompt Optimization Framework for Large Language Models. Proceedings of the 38th Conference of Open Innovations Association FRUCT. 2025. pp. 158-166.. doi: 10.23919/FRUCT67853.2025.11239071
Москаленко М.А., Борель Л.В., Смирнова М.Д., Муравьёв С.Б., Бессонницын Е.С. Преимущества и недостатки использования ИИ-ассистента для решения задач в области математических дисциплин в высшей школе. Современное профессиональное образование. 2025. № 12. С. 109-110.
Jabour G., Muravyov S., Efimova V. Layerwise Image Vectorization via Bayesain-Optimized Contour. Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2025. Vol. 3. pp. 831–838.. doi: 10.5220/0013381000003912
Aliev M.R., Muravyov S.B. Imbalanced Learning Ensemble Optimization. Proceedings of the 37th Conference of Open Innovations Association FRUCT. 2025. pp. 11-16.. doi: 10.23919/FRUCT65909.2025.11008125
Bazhenov E., Jarsky I., Efimova V., Muravyov S. Evolutionary image vectorization with variable curve number. GECCO 2024 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2024. pp. 2083-2086.. doi: 10.1145/3638530.3664171
Aliev M., Muravyov S. Imba: Configuration-free Imbalanced Learning. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 88-93.. doi: 10.23919/fruct64283.2024.10749909
Muravev S.B., Kazakovtsev V.L., Usov I.S., Shpineva P.S., Muravyova O., Shalyto A.A. An opensource library for AutoML multimodal clustering on apache spark. Записки научных семинаров Санкт-Петербургского отделения Математического института им. В.А.Стеклова РАН. 2024. Vol. 540. pp. 178-193.
Aliev M., Muravyov S. Automation of Machine Learning Pipeline Design by an Ontology as an Integrative Meta-Learning Model. Proceedings of the 35th Conference of Open Innovations Association FRUCT. 2024. pp. 776-781.
Useinov L., Efimova V., Muravyov S. Image Augmentation for Object Detection and Segmentation with Diffusion Models. Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2024. Vol. 2. pp. 812-820.. doi: 10.5220/0012474500003660
Bazhenov E., Jarsky I., Efimova V., Muravyov S. EvoVec: Evolutionary Image Vectorization with Adaptive Curve Number and Color Gradients. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. Vol. 15151. pp. 383–397.. doi: 10.1007/978-3-031-70085-9_24
Kulin N.I., Muravyov S. Advanced methods for knowledge injection in large language models. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2024. Vol. 24. No. 4. pp. 588-593.. doi: 10.17586/2226-1494-2024-24-4-588-593
Muratov S.Y., Muravyov S.B. Framework architecture of a secure big data lake. Procedia Computer Science. 2023. Vol. 229. pp. 39-46.. doi: 10.1016/j.procs.2023.12.005
Moskovskaya E., Chebotareva O., Efimova V., Muravyov S. Predicting dataset size for neural network fine-tuning with a given quality in object detection task. Procedia Computer Science. 2023. Vol. 229. pp. 158-167.. doi: 10.1016/j.procs.2023.12.017
Aliev M., Muravyov S. Recommending Machine Learning Pipelines Based on Cumulative Metadata. Proceedings of the 33rd Conference of Open Innovations Association FRUCT. 2023. pp. 331-334.
Baturina X., Shalamov V., Muravyov S., Filchenkov A. Mutation Management for Evolutionary Small-Moves Approach in Pickup and Delivery Problem. Procedia Computer Science. 2023. Vol. 229. pp. 109-118.. doi: 10.1016/j.procs.2023.12.012
Kazakovtsev V.L., Muravyov S. Application of the automatic selection and configuration of clustering algorithms method for the Apache Spark framework. ACM International Conference Proceeding Series. 2021. pp. 1-5.. doi: 10.1145/3503047.3503104
Dobrykh F., Muravyov S., Ilyasova O. Ensemble Clustering Algorithm Development for Tabular Data by a Given Partition Quality Measure. Procedia Computer Science. 2021. Vol. 193. pp. 415-421.. doi: 10.1016/j.procs.2021.10.043
Taratukhin O., Muravyov S. Meta-Learning Based Feature Selection for Clustering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 13113. pp. 548-559.. doi: 10.1007/978-3-030-91608-4_54
Kulin N.I., Muravyov S.B. A Meta-feature selection method based on the Auto-sklearn framework. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2021. Vol. 21. No. 5(135). pp. 702-708.. doi: 10.17586/2226-1494-2021-21-5-702-708
Muravyov S., Filchenkov A. A Cloud-based Network of 3D Objects for Robust Grasp Planning. ACM International Conference Proceeding Series. 2020. pp. 99-105.. doi: 10.1145/3437802.3437820
Теория и методика избранного вида спорта (компьютерный спорт). Часть 1
Kazakovtsev V.L., Oreshin S., Serdyukov A., Krasheninnikov E., Muravyov S., Bezvinnyi A., Panfilov A., Glukhov I., Kaliberda Y., Masalskiy D., Podolenchuk T., Khlopotov M. Recommender system for an academic supervisor with a matrix normalization approach. ACM International Conference Proceeding Series. 2020. pp. 84-87.. doi: 10.1145/3437802.3437817
Грачев П.Г., Муравьёв С.Б., Фильченков А.А., Шалыто А.А. Генерация автоматов на основе рекуррентных нейросетей и автоматического выбора кластеризации [Automata generation based on recurrent neural networks and automated cauterization selection]. Информационно-управляющие системы [Informatsionno-Upravliaiushchie Sistemy]. 2020. № 1(104). С. 34-43.. doi: 10.31799/1684-8853-2020-1-34-43
Samarin A.V., Malykh V.A., Muravyov S.B. Specialized image descriptors for signboard photographs classification. Communications in Computer and Information Science. 2020. Vol. 1243. pp. 122-129.. doi: 10.1007/978-3-030-57672-1_10
Zabashta A., Muravyov S., Smetannikov I. Synthesis of Datasets with Specific Characteristics for the Clustering Problem. ACM International Conference Proceeding Series. 2019. pp. 43-47.. doi: 10.1145/3374587.3374638
Автоматизация решения задачи кластеризации при помощи эволюционных алгоритмов
Muravyov S., Antipov D., Buzdalova A., Filchenkov A. Efficient Computation Of Fitness Function For Evolutionary Clustering. Mendel. 2019. Vol. 25. No. 1. pp. 87-94.. doi: 10.13164/mendel.2019.1.087
Муравьёв С.Б., Ефимова В.А., Шаламов В.В., Фильченков А.А., Сметанников И.Б. Автоматическая настройка гиперпараметров алгоритмов кластеризации с помощью обучения с подкреплением [Automatic hyperparameter optimization for clustering algorithms with reinforcement learning]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2019. Т. 19. № 3(121). С. 508-515.. doi: 10.17586/2226-1494-2019-19-3-508-515
Tomp D., Muravyov S., Filchenkov A., Parfenov V. Meta-learning Based Evolutionary Clustering Algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11871. pp. 502-513.. doi: 10.1007/978-3-030-33607-3_54
Построение универсального алгоритма кластеризации на базе заданной метрики оценки разбиения
Shalamov V., Efimova V., Muravyov S., Filchenkov A. Reinforcement-based Method for Simultaneous Clustering Algorithm Selection and its Hyperparameters Optimization. Procedia Computer Science. 2018. Vol. 136. pp. 144-153.. doi: 10.1016/j.procs.2018.08.247
Muravyov S., Filchenkov A. Meta-learning system for automated clustering. CEUR Workshop Proceedings. 2017. Vol. 1998. pp. 99-101.
Методы оценки качества работы алгоритмов в рекоменда- тельной системе алгоритмов выбора признаков для задач кластеризации
Filchenkov A., Muravyov S., Parfenov V. Towards Cluster Validity Index Evaluation and Selection. Proceedings of Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference. 2016. pp. 7891855.
Муравьёв С.Б., Мальцева М.Г. Проблема оценки качества работы алгоритмов в рекомендательной системе алгоритмов выбора признаков. Международная конференция по мягким вычислениям и измерениям. 2015. Т. 1. № Секции 1-3. С. 53-57.
Российская Федерация, Санкт-Петербург
Российская Федерация
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург