Analysis of the photic driving effect via joint EEG and MEG data processing based on the coupled CP decomposition. - Kristina Naskovska; Alexey Alexandrovich Korobkov; Martin Haardt; Jens Haueisen (EUSIPCO, 2017)

Multi-dimensional model order estimation using LineAr Regression of Global Eigenvalues (LaRGE) with applications to EEG and MEG recordings. - Alexey Alexandrovich Korobkov; Marina K. Diugurova; Jens Haueisen; Martin Haardt (EUSIPCO, 2020)

Coupled CP Decomposition of EEG and MEG Magnetometer and Gradiometer Measurements via the Coupled SECSI Framework. - Alla Manina; Mikus J. Grasis; Liana Khamidullina; Alexey Alexandrovich Korobkov; Jens Haueisen; Martin Haardt (ACSCC, 2021)

Joint Model Order Estimation for Multiple Tensors with A Coupled Mode and Applications to the Joint Decomposition of EEG, MEG Magnetometer, and Gradiometer Tensors. - Bilal Ahmad; Liana Khamidullina; Alexey Alexandrovich Korobkov; Alla Manina; Jens Haueisen; Martin Haardt (ICASSP, 2022)

Enhanced Computation of the Coupled Block-Term Decomposition in Multilinear Rank Terms. - Ildar Safiullin; Liana Khamidullina; Alexey Alexandrovich Korobkov; Martin Haardt (SAM, 2022)

Robust Multi-Dimensional Model Order Estimation Using LineAr Regression of Global Eigenvalues (LaRGE). - Alexey Alexandrovich Korobkov; Marina K. Diugurova; Jens Haueisen; Martin Haardt (IEEE Trans. Signal Process., 2022)

Enhanced Solutions for the Block-Term Decomposition in Rank-$(L_{r},L_{r},1)$ Terms. - Liana Khamidullina; Gabriel Seidl; Ivan Podkurkov; Alexey Alexandrovich Korobkov; Martin Haardt (IEEE Trans. Signal Process., 2023)