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Artigo de periodico
Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification (2023)
Bustios, Paul ; Rosa, João Luís Garcia
Source: Applied Intelligence. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZAGEM PROFUNDA, ELETROENCEFALOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 nov. 2025.
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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.1007/s10489-023-05134-x
Artigo de periodico
How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? (2017)
Oliva, Jefferson Tales; Rosa, João Luís Garcia
Source: Applied Intelligence. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE SINAIS, MINERAÇÃO DE DADOS, ELETROENCEFALOGRAFIA, EPILEPSIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVA, Jefferson Tales e ROSA, João Luís Garcia. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier?. Applied Intelligence, v. 47, n. 1, p. 178-196, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0891-y. Acesso em: 09 nov. 2025.
APA
Oliva, J. T., & Rosa, J. L. G. (2017). How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? Applied Intelligence, 47( 1), 178-196. doi:10.1007/s10489-016-0891-y
NLM
Oliva JT, Rosa JLG. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? [Internet]. Applied Intelligence. 2017 ; 47( 1): 178-196.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/s10489-016-0891-y
Vancouver
Oliva JT, Rosa JLG. How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? [Internet]. Applied Intelligence. 2017 ; 47( 1): 178-196.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/s10489-016-0891-y
Artigo de periodico
A new cognitive filtering approach based on Freeman K3 Neural Networks (2016)
Rosa, João Luís Garcia ; Piazentin, Denis R. M
Source: Applied Intelligence. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSA, João Luís Garcia e PIAZENTIN, Denis R. M. A new cognitive filtering approach based on Freeman K3 Neural Networks. Applied Intelligence, v. 45, n. 2, p. Se 2016, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0772-4. Acesso em: 09 nov. 2025.
APA
Rosa, J. L. G., & Piazentin, D. R. M. (2016). A new cognitive filtering approach based on Freeman K3 Neural Networks. Applied Intelligence, 45( 2), Se 2016. doi:10.1007/s10489-016-0772-4
NLM
Rosa JLG, Piazentin DRM. A new cognitive filtering approach based on Freeman K3 Neural Networks [Internet]. Applied Intelligence. 2016 ; 45( 2): Se 2016.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/s10489-016-0772-4
Vancouver
Rosa JLG, Piazentin DRM. A new cognitive filtering approach based on Freeman K3 Neural Networks [Internet]. Applied Intelligence. 2016 ; 45( 2): Se 2016.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1007/s10489-016-0772-4

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