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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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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2020
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| Matèries: | |
| Accés en línia: | 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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