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.
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.
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.
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.
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.
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.
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.
Muratov S.Y., Muravyov S.B. Framework architecture of a secure big data lake. Procedia Computer Science. 2023. Vol. 229. pp. 39-46.
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.
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.
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.
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.
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.
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.
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.
Теория и методика избранного вида спорта (компьютерный спорт). Часть 1
Muravyov S., Filchenkov A. A Cloud-based Network of 3D Objects for Robust Grasp Planning. ACM International Conference Proceeding Series. 2020. pp. 99-105.
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.
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.
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.
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.
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.
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