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Tensor decomposition exploiting structural constraints for brain source imaging., , , , , , , , and . CAMSAP, page 181-184. IEEE, (2015)Canonical decomposition of semi-symmetric semi-nonnegative three-way arrays., , , and . ACSCC, page 444-448. IEEE, (2011)A Penalized Semialgebraic Deflation ICA Algorithm for the Efficient Extraction of Interictal Epileptic Signals., , , , and . IEEE J. Biomed. Health Informatics, 21 (1): 94-104 (2017)SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity., , , , , , , and . NeuroImage, (2017)Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising., , , , and . IEEE Signal Process. Lett., 24 (6): 882-886 (2017)Denoising of Ictal EEG Data Using Semi-Blind Source Separation Methods Based on Time-Frequency Priors., , , and . IEEE J. Biomed. Health Informatics, 19 (3): 839-847 (2015)On JEVD of semi-definite positive matrices and CPD of nonnegative tensors., , , and . SAM, page 1-5. IEEE, (2016)How Beamforming Can Solve The Brain Source Imaging Problem?, , , , and . SSP, page 171-175. IEEE, (2021)Tensor-based preprocessing of combined EEG/MEG data., , and . EUSIPCO, page 275-279. IEEE, (2012)Higher order blind separation of non zero-mean cyclostationary sources., , and . EUSIPCO, page 1-4. IEEE, (2002)