Empirical comparison of EEG signal classification techniques through genetic programming-based AutoML: an extended study (2024)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.5753/jidm.2024.3369
- Subjects: APRENDIZADO COMPUTACIONAL; PROGRAMAÇÃO GENÉTICA; PROCESSAMENTO DE SINAIS BIOMÉDICOS; ELETROENCEFALOGRAFIA
- Keywords: AutoML; Classification; EEG; End-to-end Machine Learning; Genetic Programming; Sleep Spindles
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Porto Alegre
- Date published: 2024
- Source:
- Título do periódico: Journal of Information and Data Management - JIDM
- ISSN: 2178-7107
- Volume/Número/Paginação/Ano: v. 15, n. 1, p. 175-185, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 11 jun. 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.2024.3369 -
NLM
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 jun. 11 ] Available from: https://doi.org/10.5753/jidm.2024.3369 -
Vancouver
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 jun. 11 ] Available from: https://doi.org/10.5753/jidm.2024.3369 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.5753/jidm.2024.3369 (Fonte: oaDOI API)
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