| Conformal -NN Anomaly Detector for Univariate Data Streams V Ishimtsev, A Bernstein, E Burnaev, I Nazarov Conformal and Probabilistic Prediction and Applications, 213-227, 2017 | 71 | 2017 |
| Voxelwise 3d convolutional and recurrent neural networks for epilepsy and depression diagnostics from structural and functional mri data M Pominova, A Artemov, M Sharaev, E Kondrateva, A Bernstein, ... 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 299-307, 2018 | 44 | 2018 |
| Reinforcement learning in computer vision AV Bernstein, EV Burnaev Tenth International Conference on Machine Vision (ICMV 2017) 10696, 458-464, 2018 | 44 | 2018 |
| Manifold Learning: Generalization Ability and Tangent Proximity. AV Bernstein, AP Kuleshov International Journal of Software & Informatics 7 (3), 2013 | 42 | 2013 |
| Tangent bundle manifold learning via Grassmann&Stiefel eigenmaps AV Bernstein, AP Kuleshov arXiv preprint arXiv:1212.6031, 2012 | 42 | 2012 |
| Artificial text detection via examining the topology of attention maps L Kushnareva, D Cherniavskii, V Mikhailov, E Artemova, S Barannikov, ... arXiv preprint arXiv:2109.04825, 2021 | 39 | 2021 |
| Domain shift in computer vision models for MRI data analysis: an overview E Kondrateva, M Pominova, E Popova, M Sharaev, A Bernstein, ... Thirteenth International Conference on Machine Vision 11605, 126-133, 2021 | 34 | 2021 |
| Cognitive technologies in adaptive models of complex plants A Kuleshov, A Bernstein IFAC Proceedings Volumes 42 (4), 1441-1452, 2009 | 33 | 2009 |
| Reinforcement learning for computer vision and robot navigation AV Bernstein, EV Burnaev, ON Kachan Machine Learning and Data Mining in Pattern Recognition: 14th International …, 2018 | 30 | 2018 |
| Comparison of three geometric parameterization methods and their effect on aerodynamic optimization F Zhu, N Qin, E Burnaev, A Bernstein, S Chernova Eurogen, 758-772, 2011 | 29 | 2011 |
| Fast aerodynamic model for design technology A Bernstein, A Kuleshov, Y Sviridenko, V Vyshinsky Proceedings of West-East High Speed Flow Field Conference (WEHSFF-2007 …, 2007 | 28 | 2007 |
| Pattern recognition pipeline for neuroimaging data M Sharaev, A Andreev, A Artemov, E Burnaev, E Kondratyeva, ... Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018 | 22 | 2018 |
| Manifold learning in regression tasks A Bernstein, A Kuleshov, Y Yanovich Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015 | 22 | 2015 |
| 3D deformable convolutions for MRI classification M Pominova, E Kondrateva, M Sharaev, A Bernstein, S Pavlov, E Burnaev 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 19 | 2019 |
| Learning connectivity patterns via graph kernels for fmri-based depression diagnostics M Sharaev, A Artemov, E Kondrateva, S Ivanov, S Sushchinskaya, ... 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 308-314, 2018 | 19 | 2018 |
| Mri-based diagnostics of depression concomitant with epilepsy: in search of the potential biomarkers M Sharaev, A Artemov, E Kondrateva, S Sushchinskaya, E Burnaev, ... 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 18 | 2018 |
| Adaptive models of complex systems based on data handling AP Kuleshov, AV Bernstein, EV Burnaev Proceedings of the 3rd International Conference on Inductive Modelling, Kyiv …, 2010 | 18 | 2010 |
| Conformal prediction in manifold learning A Kuleshov, A Bernstein, E Burnaev Conformal and Probabilistic Prediction and Applications, 234-253, 2018 | 17 | 2018 |
| Asymptotically optimal method in Manifold estimation A Kuleshov, A Bernstein, Y Yanovich, L Márkus, V Prokaj Abstracts of the XXIX-th European Meeting of Statisticians, 325, 2013 | 17 | 2013 |
| Fader networks for domain adaptation on fMRI: ABIDE-II study M Pominova, E Kondrateva, M Sharaev, A Bernstein, E Burnaev Thirteenth International Conference on Machine Vision 11605, 570-577, 2021 | 16 | 2021 |
