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Incorporation of Multiple-Days Information to Improve the Generalization of EEG-Based Emotion Recognition Over Time
Current studies have got a series of satisfying accuracies in EEG-based emotion classification, but most of the classifiers used in previous studies are totally time-limited. To produce generalizable results, the emotion classifier should be stable over days, in which the day-to-day variations of EE...
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| Publicado no: | Front Hum Neurosci |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6036248/ https://ncbi.nlm.nih.gov/pubmed/30013470 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2018.00267 |
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