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Multi-Source Co-adaptation for EEG-Based Emotion Recognition by Mining Correlation Information
Since each individual subject may present completely different encephalogram (EEG) patterns with respect to other subjects, existing subject-independent emotion classifiers trained on data sampled from cross-subjects or cross-dataset generally fail to achieve sound accuracy. In this scenario, the do...
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| Publicado no: | Front Neurosci |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8155359/ https://ncbi.nlm.nih.gov/pubmed/34054422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.677106 |
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