Adversarial Deep Learning in EEG Biometrics

Deep learning methods for person identification based on electroencephalographic (EEG) brain activity encounters the problem of exploiting the temporally correlated structures or recording session specific variability within EEG. Furthermore, recent methods have mostly trained and evaluated based on...

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Udgivet i:IEEE Signal Process Lett
Main Authors: Özdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdoğmuş, Deniz
Format: Artigo
Sprog:Inglês
Udgivet: 2019
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6897355/
https://ncbi.nlm.nih.gov/pubmed/31814690
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/LSP.2019.2906826
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