| ACM international conference proceeding series B Li, H Yin, C Wang, YN Li, Y Hu, P Ye, L Yang, J Li, W Lu, Y Chen, ... Association for Computing Machinery, 2020 | 21 | 2020 |
| Reinforcement-based method for simultaneous clustering algorithm selection and its hyperparameters optimization V Shalamov, V Efimova, S Muravyov, A Filchenkov Procedia Computer Science 136, 144-153, 2018 | 19 | 2018 |
| Towards cluster validity index evaluation and selection A Filchenkov, S Muravyov, V Parfenov 2016 IEEE Artificial Intelligence and Natural Language Conference (AINL), 1-8, 2016 | 13 | 2016 |
| Meta-learning System for Automated Clustering. S Muravyov, A Filchenkov, P Brazdil, J Vanschoren, F Hutter, H Hoos AutoML@ PKDD/ECML, 99-101, 2017 | 9 | 2017 |
| Recommender system for an academic supervisor with a matrix normalization approach V Kazakovtsev, S Oreshin, A Serdyukov, E Krasheninnikov, S Muravyov, ... Proceedings of the 2020 1st International Conference on Control, Robotics …, 2020 | 5 | 2020 |
| Ensemble Clustering Algorithm Development for Tabular Data by a Given Partition Quality Measure F Dobrykh, S Muravyov, O Ilyasova Procedia Computer Science 193, 415-421, 2021 | 4 | 2021 |
| Specialized image descriptors for signboard photographs classification A Samarin, V Malykh, S Muravyov International Baltic Conference on Databases and Information Systems, 122-129, 2020 | 4 | 2020 |
| AUTOMATIC HYPERPARAMETER OPTIMIZATION FOR CLUSTERING ALGORITHMS WITH REINFORCEMENT LEARNIN SB Muravyov, VA Efimova, VV Shalamov, AA Filchenkov Journal Scientific and Technical Of Information Technologies, Mechanics and …, 2019 | 4 | 2019 |
| Efficient computation of fitness function for evolutionary clustering S Muravyov, D Antipov, A Buzdalova, A Filchenkov Mendel 25 (1), 87-94, 2019 | 3 | 2019 |
| Application of the automatic selection and configuration of clustering algorithms method for the Apache Spark framework V Kazakovtsev, S Muravyov Proceedings of the 3rd International Conference on Advanced Information …, 2021 | 2 | 2021 |
| Meta-learning based feature selection for clustering O Taratukhin, S Muravyov Intelligent Data Engineering and Automated Learning–IDEAL 2021: 22nd …, 2021 | 2 | 2021 |
| Predicting dataset size for neural network fine-tuning with a given quality in object detection task E Moskovskaya, O Chebotareva, V Efimova, S Muravyov Procedia Computer Science 229, 158-167, 2023 | 1 | 2023 |
| Framework architecture of a secure big data lake SY Muratov, SB Muravyov Procedia Computer Science 229, 39-46, 2023 | 1 | 2023 |
| A Cloud-based Network of 3D Objects for Robust Grasp Planning S Muravyov, A Filchenkov Proceedings of the 2020 1st International Conference on Control, Robotics …, 2020 | 1 | 2020 |
| Meta-learning based evolutionary clustering algorithm D Tomp, S Muravyov, A Filchenkov, V Parfenov Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019 | 1 | 2019 |
| Image Augmentation for Object Detection and Segmentation with Diffusion Models. L Useinov, V Efimova, S Muravyov VISIGRAPP (2): VISAPP, 812-820, 2024 | | 2024 |
| Mutation Management for Evolutionary Small-Moves Approach in Pickup and Delivery Problem X Baturina, V Shalamov, S Muravyov, A Filchenkov Procedia Computer Science 229, 109-118, 2023 | | 2023 |
| Automation of Machine Learning Pipeline Design by an Ontology as an Integrative Meta-Learning Model M Aliev, S Muravyov | | 2021 |
| A meta-feature selection method based on the Auto-sklearn framework NI Kulin, SB Muravyov Научно-технический вестник информационных технологий, механики и оптики 21 …, 2021 | | 2021 |
| Synthesis of Datasets with Specific Characteristics for the Clustering Problem A Zabashta, S Muravyov, I Smetannikov Proceedings of the 2019 3rd International Conference on Computer Science and …, 2019 | | 2019 |
Andrey FilchenkovHead of GO AI Lab在 itmo.ru 的电子邮件经过验证
