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...

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Detalles Bibliográficos
Autores principales: Tao, Jianwen, Dan, Yufang, Zhou, Di, He, Songsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
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

Internet

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

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