How an epileptic EEG segment, used as reference, can influence a cross-correlation classifier? (2017)
- Authors:
- Autor USP: ROSA, JOÃO LUIS GARCIA - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10489-016-0891-y
- Subjects: INTELIGÊNCIA ARTIFICIAL; APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE SINAIS; MINERAÇÃO DE DADOS; ELETROENCEFALOGRAFIA; EPILEPSIA
- Keywords: EEG; Cross-correlation; Predictive models
- Language: Inglês
- Imprenta:
- Source:
- Título: Applied Intelligence
- ISSN: 0924-669X
- Volume/Número/Paginação/Ano: v. 47, n. 1, p. 178-196, July 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 01 mar. 2026. -
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 2026 mar. 01 ] 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 2026 mar. 01 ] Available from: https://doi.org/10.1007/s10489-016-0891-y - Artificial neural networks: models and applications
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Informações sobre o DOI: 10.1007/s10489-016-0891-y (Fonte: oaDOI API)
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