Evaluation of pattern recognition and feature extraction methods in ADHD prediction (2012)
- Authors:
- Autor USP: FUJITA, ANDRÉ - IME
- Unidade: IME
- DOI: 10.3389/fnsys.2012.00068
- Assunto: PROCESSAMENTO DE IMAGENS
- Keywords: ADHD; machine learning; SVM; classification; diagnosis; prediction; features
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Frontiers in Systems Neuroscience
- Volume/Número/Paginação/Ano: v. 6, artigo 68, p. 1-14, 2012
- Este artigo NÃO possui versão em acesso aberto
-
ABNT
SATO, João Ricardo et al. Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, v. 6, p. 1-14, 2012Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2012.00068. Acesso em: 07 mar. 2026. -
APA
Sato, J. R., Hoexter, M. Q., Fujita, A., & Rohde, L. A. (2012). Evaluation of pattern recognition and feature extraction methods in ADHD prediction. Frontiers in Systems Neuroscience, 6, 1-14. doi:10.3389/fnsys.2012.00068 -
NLM
Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2026 mar. 07 ] Available from: https://doi.org/10.3389/fnsys.2012.00068 -
Vancouver
Sato JR, Hoexter MQ, Fujita A, Rohde LA. Evaluation of pattern recognition and feature extraction methods in ADHD prediction [Internet]. Frontiers in Systems Neuroscience. 2012 ; 6 1-14.[citado 2026 mar. 07 ] Available from: https://doi.org/10.3389/fnsys.2012.00068 - Conservative generalized bifurcation diagrams and phase space properties for oval-like billiards
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