Author of the publication

Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously.

, , , , , and . EMBC, page 5986-5989. IEEE, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Blind speech signal separation based on non-stationary and colored characteristics., , , , and . ISSPA, page 491-494. IEEE, (2005)Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously., , , , , and . EMBC, page 5986-5989. IEEE, (2013)Dimension reduction for individual ica to decompose FMRI during real-world experiences: principal component analysis vs. canonical correlation analysis., , , , , , , and . ESANN, (2013)Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions., , , and . Signal Process. Image Commun., (2019)Data model conversion for independent component analysis to extract brain signals., and . iCAST, page 187-192. IEEE, (2011)Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data., , , , , , and . LVA/ICA, volume 7191 of Lecture Notes in Computer Science, page 502-510. Springer, (2012)Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm., , and . ICASSP, page 3457-3461. IEEE, (2019)Generalization of Linked Canonical Polyadic Tensor Decomposition for Group Analysis., , , and . ISNN (2), volume 11555 of Lecture Notes in Computer Science, page 180-189. Springer, (2019)Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks., , , , , , and . ISNN (2), volume 11555 of Lecture Notes in Computer Science, page 540-547. Springer, (2019)Fast and effective model order selection method to determine the number of sources in a linear transformation model., , , , and . EUSIPCO, page 1870-1874. IEEE, (2012)