Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance (2016)
- Authors:
- Autor USP: ROSA, JOÃO LUIS GARCIA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-44778-0_35
- Subjects: INTELIGÊNCIA ARTIFICIAL; APRENDIZADO COMPUTACIONAL; ELETROENCEFALOGRAFIA
- Keywords: Piecewise aggregate approximation; Cross-correlation
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 9886, p. 297-305, 2016
- Conference titles: International Conference on Artificial Neural Networks - ICANN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
OLIVA, Jefferson Tales e ROSA, João Luís Garcia. Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-44778-0_35. Acesso em: 19 abr. 2024. , 2016 -
APA
Oliva, J. T., & Rosa, J. L. G. (2016). Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-44778-0_35 -
NLM
Oliva JT, Rosa JLG. Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance [Internet]. Lecture Notes in Computer Science. 2016 ; 9886 297-305.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-319-44778-0_35 -
Vancouver
Oliva JT, Rosa JLG. Dimensionality reduction effect analysis of EEG signals in cross-correlation classifiers performance [Internet]. Lecture Notes in Computer Science. 2016 ; 9886 297-305.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-319-44778-0_35 - Texto sistematizado
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Informações sobre o DOI: 10.1007/978-3-319-44778-0_35 (Fonte: oaDOI API)
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