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EEG Emotion Classification Using an Improved SincNet-Based Deep Learning Model
Deep learning (DL) methods have been used increasingly widely, such as in the fields of speech and image recognition. However, how to design an appropriate DL model to accurately and efficiently classify electroencephalogram (EEG) signals is still a challenge, mainly because EEG signals are characte...
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| Publicat a: | Brain Sci |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6895992/ https://ncbi.nlm.nih.gov/pubmed/31739605 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/brainsci9110326 |
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