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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | 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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