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Alexey Alexandrovich Korobkov
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2020 – today
- 2023
- [j2]Liana Khamidullina, Gabriel Seidl, Ivan Podkurkov, Alexey Alexandrovich Korobkov, Martin Haardt:
Enhanced Solutions for the Block-Term Decomposition in Rank-$(L_{r},L_{r},1)$ Terms. IEEE Trans. Signal Process. 71: 2608-2621 (2023) - 2022
- [j1]Alexey Alexandrovich Korobkov, Marina K. Diugurova, Jens Haueisen, Martin Haardt:
Robust Multi-Dimensional Model Order Estimation Using LineAr Regression of Global Eigenvalues (LaRGE). IEEE Trans. Signal Process. 70: 5751-5764 (2022) - [c5]Bilal Ahmad, Liana Khamidullina, Alexey Alexandrovich Korobkov, Alla Manina, Jens Haueisen, Martin Haardt:
Joint Model Order Estimation for Multiple Tensors with A Coupled Mode and Applications to the Joint Decomposition of EEG, MEG Magnetometer, and Gradiometer Tensors. ICASSP 2022: 1186-1190 - [c4]Ildar Safiullin, Liana Khamidullina, Alexey Alexandrovich Korobkov, Martin Haardt:
Enhanced Computation of the Coupled Block-Term Decomposition in Multilinear Rank Terms. SAM 2022: 400-404 - 2021
- [c3]Alla Manina, Mikus J. Grasis, Liana Khamidullina, Alexey Alexandrovich Korobkov, Jens Haueisen, Martin Haardt:
Coupled CP Decomposition of EEG and MEG Magnetometer and Gradiometer Measurements via the Coupled SECSI Framework. ACSCC 2021: 1661-1667 - 2020
- [c2]Alexey Alexandrovich Korobkov, Marina K. Diugurova, Jens Haueisen, Martin Haardt:
Multi-dimensional model order estimation using LineAr Regression of Global Eigenvalues (LaRGE) with applications to EEG and MEG recordings. EUSIPCO 2020: 1005-1009
2010 – 2019
- 2017
- [c1]Kristina Naskovska, Alexey Alexandrovich Korobkov, Martin Haardt, Jens Haueisen:
Analysis of the photic driving effect via joint EEG and MEG data processing based on the coupled CP decomposition. EUSIPCO 2017: 1285-1289
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