ReP USP - Resultado da busca

Artigo de periodico
Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders (2013)
Sato, João Ricardo ; Takahashi, Daniel Yasumasa ; Hoexter, Marcelo Queiroz ; Massirer, Katlin Brauer ; Fujita, André
Source: Neuroimage. Unidades: IME, FM
Assunto: DISTÚRBIOS PSICOLÓGICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders. Neuroimage, v. 77, p. 44-51, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neuroimage.2013.03.035. Acesso em: 07 dez. 2025.
APA
Sato, J. R., Takahashi, D. Y., Hoexter, M. Q., Massirer, K. B., & Fujita, A. (2013). Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders. Neuroimage, 77, 44-51. doi:10.1016/j.neuroimage.2013.03.035
NLM
Sato JR, Takahashi DY, Hoexter MQ, Massirer KB, Fujita A. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders [Internet]. Neuroimage. 2013 ; 77 44-51.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1016/j.neuroimage.2013.03.035
Vancouver
Sato JR, Takahashi DY, Hoexter MQ, Massirer KB, Fujita A. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders [Internet]. Neuroimage. 2013 ; 77 44-51.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1016/j.neuroimage.2013.03.035
Artigo de periodico
Discriminating different classes of biological networks by analyzing the graphs spectra distribution (2012)
Takahashi, Daniel Yasumasa ; Sato, João Ricardo ; Ferreira, Carlos Eduardo ; Fujita, André
Source: PLOS ONE. Unidade: IME
Assunto: COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TAKAHASHI, Daniel Yasumasa et al. Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, v. 7, n. 12, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0049949. Acesso em: 07 dez. 2025.
APA
Takahashi, D. Y., Sato, J. R., Ferreira, C. E., & Fujita, A. (2012). Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, 7( 12), 1-12. doi:10.1371/journal.pone.0049949
NLM
Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1371/journal.pone.0049949
Vancouver
Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1371/journal.pone.0049949
Artigo de periodico
Measuring time series predictability using support vector regression (2008)
Sato, João Ricardo; Costafreda, Sergi; Morettin, Pedro Alberto ; Brammer, Michael John
Source: Communications in Statistics - Simulation and Computation. Unidade: IME
Assunto: ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation, 2008Tradução . . Acesso em: 07 dez. 2025.
APA
Sato, J. R., Costafreda, S., Morettin, P. A., & Brammer, M. J. (2008). Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation.
NLM
Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2025 dez. 07 ]
Vancouver
Sato JR, Costafreda S, Morettin PA, Brammer MJ. Measuring time series predictability using support vector regression. Communications in Statistics - Simulation and Computation. 2008 ;[citado 2025 dez. 07 ]
Artigo de periodico
The impact of functional connectivity changes on support vector machines mapping of fMRI data (2008)
Sato, João Ricardo; Mourão-Miranda, Janaina; Martin, Maria da Graça Morais; Amaro Jr., Edson; Morettin, Pedro Alberto ; Brammer, Michael John
Source: Journal of Neuroscience Methods. Unidades: IME, FM
Subjects: NEUROCIÊNCIAS, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. The impact of functional connectivity changes on support vector machines mapping of fMRI data. Journal of Neuroscience Methods, v. 172, n. 1, p. 94-104, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2008.04.008. Acesso em: 07 dez. 2025.
APA
Sato, J. R., Mourão-Miranda, J., Martin, M. da G. M., Amaro Jr., E., Morettin, P. A., & Brammer, M. J. (2008). The impact of functional connectivity changes on support vector machines mapping of fMRI data. Journal of Neuroscience Methods, 172( 1), 94-104. doi:10.1016/j.jneumeth.2008.04.008
NLM
Sato JR, Mourão-Miranda J, Martin M da GM, Amaro Jr. E, Morettin PA, Brammer MJ. The impact of functional connectivity changes on support vector machines mapping of fMRI data [Internet]. Journal of Neuroscience Methods. 2008 ; 172( 1): 94-104.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1016/j.jneumeth.2008.04.008
Vancouver
Sato JR, Mourão-Miranda J, Martin M da GM, Amaro Jr. E, Morettin PA, Brammer MJ. The impact of functional connectivity changes on support vector machines mapping of fMRI data [Internet]. Journal of Neuroscience Methods. 2008 ; 172( 1): 94-104.[citado 2025 dez. 07 ] Available from: https://doi.org/10.1016/j.jneumeth.2008.04.008

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