| Machine learning for LC–MS medicinal plants identification DV Nazarenko, PV Kharyuk, IV Oseledets, IA Rodin, OA Shpigun Chemometrics and Intelligent Laboratory Systems 156, 174-180, 2016 | 37 | 2016 |
| Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task P Kharyuk, D Nazarenko, I Oseledets, I Rodin, O Shpigun, A Tsitsilin, ... Scientific Reports 8 (1), 17053, 2018 | 24 | 2018 |
| Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants P Kharyuk, D Nazarenko, I Oseledets arXiv preprint arXiv:1807.07099, 2018 | 3 | 2018 |
| Compression of fMRI data using wavelet tensor train decomposition PV Kharyuk, IV Оseledets, VL Ushakov Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie …, 2014 | 3 | 2014 |
| WTT decomposition for the compression of array’s families and its application to image processing PV Kharyuk, IV Оseledets Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie …, 2014 | 3 | 2014 |
| Structuring data with block term decomposition: Decomposition of joint tensors and variational block term decomposition as a parametrized mixture distribution model IV Oseledets, PV Kharyuk Computational Mathematics and Mathematical Physics 61 (5), 816-835, 2021 | 2 | 2021 |
| FMM-Net: neural network architecture based on the Fast Multipole Method D Sushnikova, P Kharyuk, I Oseledets arXiv preprint arXiv:2212.12899, 2022 | | 2022 |
