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Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials., , , , , , , , и . Int. J. Neural Syst., (2014)Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection., , , , и . MLSP, стр. 1-6. IEEE, (2011)Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition., , , , , , и . ISNN, том 10878 из Lecture Notes in Computer Science, стр. 789-799. Springer, (2018)Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities., , , и . CIPAE, стр. 726-732. IEEE, (2023)Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data., , , и . EUSIPCO, стр. 2125-2129. IEEE, (2020)Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations., , , , , и . ICONIP (3), том 7665 из Lecture Notes in Computer Science, стр. 166-173. Springer, (2012)Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data., , , , , , и . ISNN (2), том 10262 из Lecture Notes in Computer Science, стр. 559-566. Springer, (2017)Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses., , , , , и . ISNN, том 9719 из Lecture Notes in Computer Science, стр. 30-39. Springer, (2016)An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data., , , , и . ICASSP, стр. 714-718. IEEE, (2016)Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously., , , , , и . EMBC, стр. 5986-5989. IEEE, (2013)