Муравьёв Сергей Борисович

Статья

Aliev M.R., Muravyov S.B. Imbalanced Learning Ensemble Optimization. Proceedings of the 37th Conference of Open Innovations Association FRUCT. 2025. pp. 11-16.

Статья

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.

Статья

Aliev M., Muravyov S. Imba: Configuration-free Imbalanced Learning. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 88-93.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

Muratov S.Y., Muravyov S.B. Framework architecture of a secure big data lake. Procedia Computer Science. 2023. Vol. 229. pp. 39-46.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Учебник, учебное пособие

Теория и методика избранного вида спорта (компьютерный спорт). Часть 1

Статья

Muravyov S., Filchenkov A. A Cloud-based Network of 3D Objects for Robust Grasp Planning. ACM International Conference Proceeding Series. 2020. pp. 99-105.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Статья

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.

Тезисы

Автоматизация решения задачи кластеризации при помощи эволюционных алгоритмов

Статья

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.

Тезисы

Построение универсального алгоритма кластеризации на базе заданной метрики оценки разбиения

Статья

Muravyov S., Filchenkov A. Meta-learning system for automated clustering. CEUR Workshop Proceedings. 2017. Vol. 1998. pp. 99-101.

Тезисы

Методы оценки качества работы алгоритмов в рекоменда- тельной системе алгоритмов выбора признаков для задач кластеризации

Статья

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.

Статья

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.