Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification (2023)
- Authors:
- Autor USP: ROSA, JOÃO LUIS GARCIA - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10489-023-05134-x
- Subjects: REDES NEURAIS; APRENDIZAGEM PROFUNDA; ELETROENCEFALOGRAFIA
- Keywords: Motor imagery; Classification
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Applied Intelligence
- ISSN: 0924-669X
- Volume/Número/Paginação/Ano: v. 53, n. 24, p. 30133-30147, Dec. 2023
- Este artigo NÃO possui versão em acesso aberto
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Status: Nenhuma versão em acesso aberto identificada -
ABNT
BUSTIOS, Paul e ROSA, João Luís Garcia. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification. Applied Intelligence, v. 53, n. 24, p. 30133-30147, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10489-023-05134-x. Acesso em: 10 mar. 2026. -
APA
Bustios, P., & Rosa, J. L. G. (2023). Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification. Applied Intelligence, 53( 24), 30133-30147. doi:10.1007/s10489-023-05134-x -
NLM
Bustios P, Rosa JLG. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification [Internet]. Applied Intelligence. 2023 ; 53( 24): 30133-30147.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10489-023-05134-x -
Vancouver
Bustios P, Rosa JLG. Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification [Internet]. Applied Intelligence. 2023 ; 53( 24): 30133-30147.[citado 2026 mar. 10 ] Available from: https://doi.org/10.1007/s10489-023-05134-x - Artificial neural networks: models and applications
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