A hybrid unsupervised—Deep learning tandem for electrooculography time series analysis

Medical data are often tricky to get mined for patterns even by the generally demonstrated successful modern methodologies of deep learning. This paper puts forward such a medical classification task, where patient registers of two of the categories are sometimes hard to be distinguished because of...

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Veröffentlicht in:PLoS One
Hauptverfasser: Stoean, Ruxandra, Stoean, Catalin, Becerra-García, Roberto, García-Bermúdez, Rodolfo, Atencia, Miguel, García-Lagos, Francisco, Velázquez-Pérez, Luis, Joya, Gonzalo
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2020
Schlagworte:
Research Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7373280/
https://ncbi.nlm.nih.gov/pubmed/32692779
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0236401
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