Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces

Recent technological advances have enabled researchers to collect large amounts of electroencephalography (EEG) signals in labeled and unlabeled datasets. It is expensive and time consuming to collect labeled EEG data for use in brain-computer interface (BCI) systems, however. In this paper, a novel...

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Detalles Bibliográficos
Autores principales: She, Qingshan, Chen, Kang, Luo, Zhizeng, Nguyen, Thinh, Potter, Thomas, Zhang, Yingchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7091553/
https://www.ncbi.nlm.nih.gov/pubmed/32256550
http://dx.doi.org/10.1155/2020/3287589

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7091553/
https://www.ncbi.nlm.nih.gov/pubmed/32256550
http://dx.doi.org/10.1155/2020/3287589

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