Monte Carlo Dropout for Uncertainty Estimation and Motor Imagery Classification

Motor Imagery (MI)-based Brain–Computer Interfaces (BCIs) have been widely used as an alternative communication channel to patients with severe motor disabilities, achieving high classification accuracy through machine learning techniques. Recently, deep learning techniques have spotlighted the stat...

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Detalles Bibliográficos
Autores principales: Milanés-Hermosilla, Daily, Trujillo Codorniú, Rafael, López-Baracaldo, René, Sagaró-Zamora, Roberto, Delisle-Rodriguez, Denis, Villarejo-Mayor, John Jairo, Núñez-Álvarez, José Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588128/
https://www.ncbi.nlm.nih.gov/pubmed/34770553
http://dx.doi.org/10.3390/s21217241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588128/
https://www.ncbi.nlm.nih.gov/pubmed/34770553
http://dx.doi.org/10.3390/s21217241

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