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

Author:

Stoean Ruxandra,Stoean CatalinORCID,Becerra-García Roberto,García-Bermúdez RodolfoORCID,Atencia MiguelORCID,García-Lagos Francisco,Velázquez-Pérez Luis,Joya Gonzalo

Funder

Romanian Ministry of Research and Innovation, CNCS - UEFISCDI

University of Malaga-Andalucia-Tech

Ministerio de Ciencia, Innovación y Universidades

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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3. Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2

4. Opportunities and obstacles for deep learning in biology and medicine;T Ching;Journal of The Royal Society Interface,2018

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