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Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition.

, , , , , , and . ISNN, volume 10878 of Lecture Notes in Computer Science, page 789-799. Springer, (2018)

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Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection., , , , and . MLSP, page 1-6. IEEE, (2011)Low-rank Approximation Based non-Negative Multi-Way Array Decomposition on Event-Related potentials., , , , , , , , and . Int. J. Neural Syst., (2014)Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition., , , , , , and . ISNN, volume 10878 of Lecture Notes in Computer Science, page 789-799. Springer, (2018)Group Nonnegative Matrix Factorization with Sparse Regularization in Multi-set Data., , , and . EUSIPCO, page 2125-2129. IEEE, (2020)Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations., , , , , and . ICONIP (3), volume 7665 of Lecture Notes in Computer Science, page 166-173. Springer, (2012)Enhancing Performance of Linked Independent Component Analysis: Investigating the Influence of Subjects and Modalities., , , and . CIPAE, page 726-732. IEEE, (2023)Individual Independent Component Analysis on EEG: Event-Related Responses Vs. Difference Wave of Deviant and Standard Responses., , , , , and . ISNN, volume 9719 of Lecture Notes in Computer Science, page 30-39. Springer, (2016)Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data., , , , , , and . ISNN (2), volume 10262 of Lecture Notes in Computer Science, page 559-566. Springer, (2017)An adaptive fixed-point IVA algorithm applied to multi-subject complex-valued FMRI data., , , , and . ICASSP, page 714-718. IEEE, (2016)Wood Surface Quality Detection and Classification Using Gray Level and Texture Features., , and . ISNN, volume 9377 of Lecture Notes in Computer Science, page 248-257. Springer, (2015)