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Parte de monografia/livro
Methods for constructing symbolic ensembles from symbolic classifiers (2005)
Bernardini, Flávia Cristina; Monard, Maria Carolina
Source: Advances in Logic Based Intelligent Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERNARDINI, Flávia Cristina e MONARD, Maria Carolina. Methods for constructing symbolic ensembles from symbolic classifiers. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 28 nov. 2025.
APA
Bernardini, F. C., & Monard, M. C. (2005). Methods for constructing symbolic ensembles from symbolic classifiers. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.
NLM
Bernardini FC, Monard MC. Methods for constructing symbolic ensembles from symbolic classifiers. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]
Vancouver
Bernardini FC, Monard MC. Methods for constructing symbolic ensembles from symbolic classifiers. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]
Parte de monografia/livro
Multi-view semi-supervised learning: an approach to obtain different views from text datasets (2005)
Matsubara, Edson Takashi; Monard, Maria Carolina ; Batista, Gustavo Enrique de Almeida Prado Alves
Source: Advances in Logic Based Intelligent Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATSUBARA, Edson Takashi e MONARD, Maria Carolina e BATISTA, Gustavo Enrique de Almeida Prado Alves. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 28 nov. 2025.
APA
Matsubara, E. T., Monard, M. C., & Batista, G. E. de A. P. A. (2005). Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.
NLM
Matsubara ET, Monard MC, Batista GE de APA. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]
Vancouver
Matsubara ET, Monard MC, Batista GE de APA. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]
Parte de monografia/livro
Feature subset selection for supervised learning using fractal dimension (2005)
Lee, Huei Diana; Monard, Maria Carolina ; Wu, Feng Chung
Source: Advances in Logic Based Intelligent Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEE, Huei Diana e MONARD, Maria Carolina e WU, Feng Chung. Feature subset selection for supervised learning using fractal dimension. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 28 nov. 2025.
APA
Lee, H. D., Monard, M. C., & Wu, F. C. (2005). Feature subset selection for supervised learning using fractal dimension. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.
NLM
Lee HD, Monard MC, Wu FC. Feature subset selection for supervised learning using fractal dimension. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]
Vancouver
Lee HD, Monard MC, Wu FC. Feature subset selection for supervised learning using fractal dimension. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]

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