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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Detalles Bibliográficos
Autores principales: Stoean, Ruxandra, Stoean, Catalin, Becerra-García, Roberto, García-Bermúdez, Rodolfo, Atencia, Miguel, García-Lagos, Francisco, Velázquez-Pérez, Luis, Joya, Gonzalo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373280/
https://www.ncbi.nlm.nih.gov/pubmed/32692779
http://dx.doi.org/10.1371/journal.pone.0236401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7373280/
https://www.ncbi.nlm.nih.gov/pubmed/32692779
http://dx.doi.org/10.1371/journal.pone.0236401

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