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Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising., , , , and . IEEE Signal Process. Lett., 24 (6): 882-886 (2017)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)An Optimized Dictionary-Based Model Identification Method in the Scope of Brain Effective Connectivity., , , and . IEEE Signal Process. Lett., (2023)Tensor decomposition exploiting structural constraints for brain source imaging., , , , , , , , and . CAMSAP, page 181-184. IEEE, (2015)How Beamforming Can Solve The Brain Source Imaging Problem?, , , , and . SSP, page 171-175. IEEE, (2021)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)Noise cancelation of epileptic interictal EEG data based on generalized eigenvalue decomposition., , , and . TSP, page 591-595. IEEE, (2012)Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources., , , , , and . IEEE Trans. Affect. Comput., 11 (2): 244-257 (2020)Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing., , , , , and . MLSP, page 1-6. IEEE, (2016)