Genetic programming-based autoML for EEG signal classification: a comparative study (2022)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.5753/kdmile.2022.227815
- Subjects: APRENDIZADO COMPUTACIONAL; PROGRAMAÇÃO GENÉTICA; ANÁLISE DE SÉRIES TEMPORAIS; ELETROENCEFALOGRAFIA; SINAIS BIOMÉDICOS
- Keywords: AutoML; Classification; EEG; End-to-end Machine Learning; Genetic Programming; Sleep Spindles
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2022
- Source:
- Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MIRANDA, Icaro M et al. Genetic programming-based autoML for EEG signal classification: a comparative study. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227815. Acesso em: 03 jun. 2024. -
APA
Miranda, I. M., Aranha, C., Carvalho, A. C. P. de L. F. de, & Garcia, L. P. F. (2022). Genetic programming-based autoML for EEG signal classification: a comparative study. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227815 -
NLM
Miranda IM, Aranha C, Carvalho ACP de LF de, Garcia LPF. Genetic programming-based autoML for EEG signal classification: a comparative study [Internet]. Anais. 2022 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.5753/kdmile.2022.227815 -
Vancouver
Miranda IM, Aranha C, Carvalho ACP de LF de, Garcia LPF. Genetic programming-based autoML for EEG signal classification: a comparative study [Internet]. Anais. 2022 ;[citado 2024 jun. 03 ] Available from: https://doi.org/10.5753/kdmile.2022.227815 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.5753/kdmile.2022.227815 (Fonte: oaDOI API)
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