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Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition
In practical encephalogram (EEG)-based machine learning, different subjects can be represented by many different EEG patterns, which would, in some extent, degrade the performance of extant subject-independent classifiers obtained from cross-subjects datasets. To this end, in this paper, we present...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091911/ https://www.ncbi.nlm.nih.gov/pubmed/35573289 http://dx.doi.org/10.3389/fnins.2022.850906 |