Conformal V Ishimtsev, A Bernstein, E Burnaev, I Nazarov
Conformal and Probabilistic Prediction and Applications, 213-227, 2017
70 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
41 2018 Reinforcement learning in computer vision AV Bernstein, EV Burnaev
Tenth International Conference on Machine Vision (ICMV 2017) 10696, 458-464, 2018
41 2018 Manifold Learning: Generalization Ability and Tangent Proximity. AV Bernstein, AP Kuleshov
International Journal of Software & Informatics 7 (3), 2013
41 2013 Tangent bundle manifold learning via Grassmann&Stiefel eigenmaps AV Bernstein, AP Kuleshov
arXiv preprint arXiv:1212.6031, 2012
41 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
37 2021 Cognitive technologies in adaptive models of complex plants A Kuleshov, A Bernstein
IFAC Proceedings Volumes 42 (4), 1441-1452, 2009
33 2009 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
31 2021 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 AV Bernstein, A Kuleshov, Y Sviridenko, V Vyshinsky
Proceedings of West-East High Speed Flow Field Conference (WEHSFF-2007 …, 2007
28 2007 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
27 2018 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
21 2018 Manifold learning in regression tasks A Bernstein, A Kuleshov, Y Yanovich
Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015
21 2015 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 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
18 2019 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 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 Kernel regression on manifold valued data A Kuleshov, A Bernstein, E Burnaev
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
16 2018 Conformal prediction in manifold learning A Kuleshov, A Bernstein, E Burnaev
Conformal and Probabilistic Prediction and Applications, 234-253, 2018
16 2018 