Научные руководители
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Муравьёв Сергей Борисовичкандидат технических наук smuravyov@itmo.ru Структурное подразделение: институт прикладных компьютерных наук Должность: доцент (квалификационная категория "ординарный доцент") Структурное подразделение: лаборатория компьютерных технологий Должность: заведующий лабораторией Структурное подразделение: национальный центр когнитивных разработок Должность: старший научный сотрудник Профиль: 1.2.1. - Искусственный интеллект и машинное обучение 2.3.8. - Информатика и информационные процессы 1.2.3. - Теоретическая информатика, кибернетика 05.13.17 - Теоретические основы информатики Область интересов: Автоматическое машинное обучение, задачи кластеризации, методы оптимизации, графовые нейронные сети Рабочий язык: Английский, Русский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| 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 | 2024 | RSCI, Scopus, Белый список, ВАК, РИНЦ |
| 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 | 2024 | Scopus, Web of Science |
| 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 | 2024 | Scopus, Web of Science |
| 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 | 2024 | Scopus, Web of Science |
| 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 | 2024 | Scopus, Web of Science |
| Muratov S.Y., Muravyov S.B. Framework architecture of a secure big data lake//Procedia Computer Science, 2023, Vol. 229, pp. 39-46 | 2023 | Scopus, Web of Science |
| 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 | 2023 | Scopus, Web of Science |
| 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 | 2023 | Scopus, Web of Science |
| 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 | 2023 | Scopus, Web of Science |
| 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 | 2021 | Scopus, Web of Science |
| 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 | 2021 | Scopus, Web of Science |
| 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 | 2021 | Scopus, Web of Science |
| 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 | 2021 | RSCI, Scopus, ВАК, РИНЦ |
| 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 | 2020 | Scopus, ВАК, РИНЦ |
| Muravyov S., Filchenkov A. A Cloud-based Network of 3D Objects for Robust Grasp Planning//ACM International Conference Proceeding Series, 2020, pp. 99-105 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2020 | Scopus, Web of Science |
| 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 | 2019 | Scopus |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, ВАК, РИНЦ |
| 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 | 2018 | Scopus, Web of Science |
| Muravyov S., Filchenkov A. Meta-learning system for automated clustering//CEUR Workshop Proceedings, 2017, Vol. 1998, pp. 99-101 | 2017 | Scopus |
| 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 | 2016 | Scopus, Web of Science |
| 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 | 2015 | РИНЦ |