Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off

Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome recording processes. In these conditions, powerful machine learning techniques are essential to deal with the large amount of information and overcome the curse of dimensionality. Artificial Neural Networ...

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Xehetasun bibliografikoak
Argitaratua izan da:PLoS One
Egile Nagusiak: León, Javier, Escobar, Juan José, Ortiz, Andrés, Ortega, Julio, González, Jesús, Martín-Smith, Pedro, Gan, John Q., Damas, Miguel
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2020
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7289369/
https://ncbi.nlm.nih.gov/pubmed/32525885
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0234178
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