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Complex ICA for fMRI analysis: performance of several approaches.

, and . ICASSP (2), page 717-720. IEEE, (2003)

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Joint blind source separation from second-order statistics: Necessary and sufficient identifiability conditions., , , and . ICASSP, page 2520-2523. IEEE, (2011)Least relative entropy for voiced/unvoiced speech classification., , and . IJCNN, page 2976-2980. IEEE, (1999)Complex Independent Component Analysis by Entropy Bound Minimization., and . IEEE Trans. Circuits Syst. I Regul. Pap., 57-I (7): 1417-1430 (2010)Applications of Graph Theory., and . Proc. IEEE, 106 (5): 784-786 (2018)Comparison of PCA approaches for very large group ICA., , , and . NeuroImage, (2015)Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties., , and . Proc. IEEE, 103 (9): 1478-1493 (2015)Multidataset Independent Subspace Analysis With Application to Multimodal Fusion., , , , and . IEEE Trans. Image Process., (2021)The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19., , , , , , , and . DS, volume 12986 of Lecture Notes in Computer Science, page 422-432. Springer, (2021)Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria., , , and . ISBI, page 1019-1022. IEEE, (2011)Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups., , , , and . ISBI, page 1031-1034. IEEE, (2011)