Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study (2011)
Fonte: Artificial Intelligence in Medicine. Unidade: EACH
Assuntos: INTELIGÊNCIA ARTIFICIAL, SINAIS BIOMÉDICOS, APRENDIZADO COMPUTACIONAL, EPILEPSIA (DIAGNÓSTICO)
ABNT
LIMA, Clodoaldo Aparecido de Moraes e COELHO, André L.V. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study. Artificial Intelligence in Medicine, v. 53, n. 2, p. 83-95, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.artmed.2011.07.003. Acesso em: 28 abr. 2024.APA
Lima, C. A. de M., & Coelho, A. L. V. (2011). Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study. Artificial Intelligence in Medicine, 53( 2), 83-95. doi:10.1016/j.artmed.2011.07.003NLM
Lima CA de M, Coelho ALV. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study [Internet]. Artificial Intelligence in Medicine. 2011 ; 53( 2): 83-95.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.artmed.2011.07.003Vancouver
Lima CA de M, Coelho ALV. Kernel machines for epilepsy diagnosis via EEG signal classification: a comparative study [Internet]. Artificial Intelligence in Medicine. 2011 ; 53( 2): 83-95.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1016/j.artmed.2011.07.003