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EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
Emotion classification based on brain–computer interface (BCI) systems is an appealing research topic. Recently, deep learning has been employed for the emotion classifications of BCI systems and compared to traditional classification methods improved results have been obtained. In this paper, a nov...
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| Publicado en: | Front Syst Neurosci |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7492909/ https://ncbi.nlm.nih.gov/pubmed/32982703 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnsys.2020.00043 |
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