| Self-training: A survey MR Amini, V Feofanov, L Pauletto, L Hadjadj, E Devijver, Y Maximov Neurocomputing 616, 128904, 2025 | 157 | 2025 |
| Importance sampling the union of rare events with an application to power systems analysis AB Owen, Y Maximov, M Chertkov | 60 | 2019 |
| Searching equillibriums in Beckmann's and Nesterov--de Palma's models A Gasnikov, P Dvurechensky, Y Dorn, Y Maximov arXiv preprint arXiv:1506.00293, 2015 | 48* | 2015 |
| Rademacher complexity bounds for a penalized multi-class semi-supervised algorithm Y Maximov, MR Amini, Z Harchaoui Journal of Artificial Intelligence Research 61, 761-786, 2018 | 43 | 2018 |
| Efficient numerical algorithms for regularized regression problem with applications to traffic matrix estimations A Anikin, P Dvurechensky, A Gasnikov, A Golov, A Gornov, Y Maximov, ... arXiv preprint arXiv:1508.00858, 2015 | 40* | 2015 |
| User preference and embedding learning with implicit feedback for recommender systems S Sidana, M Trofimov, O Horodnytskyi, C Laclau, Y Maximov, MR Amini Data Mining and Knowledge Discovery 35, 568-592, 2021 | 34 | 2021 |
| Effective numerical methods for huge-scale linear systems with doublesparsity and applications to PageRank AS Anikin, AV Gasnikov, AY Gornov, DI Kamzolov, V Maksimov Yu, ... Proceedings of MIPT 7 (4), 74-94, 2015 | 23* | 2015 |
| Representation learning and pairwise ranking for implicit feedback in recommendation systems S Sidana, M Trofimov, O Horodnitskii, C Laclau, Y Maximov, MR Amini arXiv preprint arXiv:1705.00105, 2017 | 20* | 2017 |
| Efficient numerical methods to solve sparse linear equations with application to pagerank A Anikin, A Gasnikov, A Gornov, D Kamzolov, Y Maximov, Y Nesterov Optimization Methods and Software 37 (3), 907-935, 2022 | 19 | 2022 |
| Tight risk bounds for multi-class margin classifiers Y Maximov, D Reshetova Pattern Recognition and Image Analysis 26, 673-680, 2016 | 19 | 2016 |
| Power grid reliability estimation via adaptive importance sampling A Lukashevich, Y Maximov IEEE Control Systems Letters 6, 1010-1015, 2021 | 17 | 2021 |
| Aggressive sampling for multi-class to binary reduction with applications to text classification B Joshi, MR Amini, I Partalas, F Iutzeler, Y Maximov Advances in Neural Information Processing Systems 30, 2017 | 17 | 2017 |
| Long-term drought prediction using deep neural networks based on geospatial weather data A Marusov, V Grabar, Y Maximov, N Sotiriadi, A Bulkin, A Zaytsev Environmental Modelling & Software 179, 106127, 2024 | 12 | 2024 |
| Importance sampling approach to chance-constrained dc optimal power flow A Lukashevich, V Gorchakov, P Vorobev, D Deka, Y Maximov IEEE Transactions on Control of Network Systems 11 (2), 928-937, 2023 | 12 | 2023 |
| Implementation of Boolean functions with a bounded number of zeros by disjunctive normal forms YV Maximov Computational Mathematics and Mathematical Physics 53, 1391-1409, 2013 | 12* | 2013 |
| Entropy penalized semidefinite programming M Krechetov, J Marecek, Y Maximov, M Takac arXiv preprint arXiv:1802.04332, 2018 | 11 | 2018 |
| Comparative analysis of the complexity of boolean functions with a small number of zeros. Y Maximov Doklady Mathematics 86 (3), 2012 | 11* | 2012 |
| Simple disjunctive normal forms of Boolean functions with a restricted number of zeros. Y Maximov Doklady Mathematics 86 (1), 2012 | 10* | 2012 |
| Climate change impact on agricultural land suitability: An interpretable machine learning-based Eurasia case study V Shevchenko, A Lukashevich, D Taniushkina, A Bulkin, R Grinis, ... IEEE Access 12, 15748-15763, 2024 | 9 | 2024 |
| Поиск эффективных методов снижения размерности при решении задач многоклассовой классификации путем её сведения к решению бинарных задач МЕ Карасиков, ЮВ Максимов Машинное обучение и анализ данных 1 (9), 1273-1290, 2014 | 9 | 2014 |
Massih-Reza AminiProfessor, University Grenoble AlpesVerified email at imag.fr
