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Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces
The feasibility of the random subspace ensemble learning method was explored to improve the performance of functional near-infrared spectroscopy-based brain-computer interfaces (fNIRS-BCIs). Feature vectors have been constructed using the temporal characteristics of concentration changes in fNIRS ch...
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| Publicado no: | Front Hum Neurosci |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7379868/ https://ncbi.nlm.nih.gov/pubmed/32765235 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2020.00236 |
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