Fonte: Journal of Information and Data Management - JIDM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROGRAMAÇÃO GENÉTICA, PROCESSAMENTO DE SINAIS BIOMÉDICOS, ELETROENCEFALOGRAFIA
ABNT
MIRANDA, Icaro M et al. Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 175-185, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3369. Acesso em: 06 nov. 2024.APA
Miranda, I. M., Aranha, C., Carvalho, A. C. P. de L. F. de, & Garcia, L. P. F. (2024). Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study. Journal of Information and Data Management - JIDM, 15( 1), 175-185. doi:10.5753/jidm.2024.3369NLM
Miranda IM, Aranha C, Carvalho ACP de LF de, Garcia LPF. Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 175-185.[citado 2024 nov. 06 ] Available from: https://doi.org/10.5753/jidm.2024.3369Vancouver
Miranda IM, Aranha C, Carvalho ACP de LF de, Garcia LPF. Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 175-185.[citado 2024 nov. 06 ] Available from: https://doi.org/10.5753/jidm.2024.3369