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ICA of fMRI data: Performance of three ICA algorithms and the importance of taking correlation information into account.

, , , , and . ISBI, page 1573-1576. IEEE, (2011)

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Phase correction and denoising for ICA of complex FMRI data., , , , and . ICASSP, page 497-500. IEEE, (2010)On properties of the widely linear MSE filter and its LMS implementation., , and . CISS, page 876-881. IEEE, (2009)Relationship between personality and gait: predicting personality with gait features., , , , , , , , , and . BIBM, page 1227-1231. IEEE Computer Society, (2018)Speech-Based Automatic Recognition Technology for Major Depression Disorder., , , , , and . HCC, volume 11956 of Lecture Notes in Computer Science, page 546-553. Springer, (2019)A class of adaptive algorithms based on ML for non-Gaussian linear filtering., and . CISS, page 1-5. IEEE, (2011)Order detection for dependent samples using entropy rate., , , and . ICASSP, page 2161-2164. IEEE, (2012)Effects of Extremely Low Frequency Electromagnetic Fields Exposure in an Informationalized Perspective., , , , and . DPTA, volume 1088 of Advances in Intelligent Systems and Computing, page 1191-1201. Springer, (2019)Complex ICA Using Nonlinear Functions., , , and . IEEE Trans. Signal Process., 56 (9): 4536-4544 (2008)NPLP: A Noisy Pseudo-Label Processing Approach for Unsupervised Domain-Adaptive Person Re-ID., , , and . IJCNN, page 1-8. IEEE, (2021)Flexible complex ICA of fMRI data., , , , and . ICASSP, page 2050-2053. IEEE, (2010)