Filtros : "Learning and Nonlinear Models" "Inglês" Removido: "LIMA, CLODOALDO APARECIDO DE MORAES" Limpar

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  • Source: Learning and Nonlinear Models. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE TEXTO

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      COUTINHO, Felipe Provezano e REZENDE, Solange Oliveira e ROSSI, Rafael Geraldeli. GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks. Learning and Nonlinear Models, v. 17, n. 2, p. 27-41, 2019Tradução . . Disponível em: https://doi.org/10.21528/lmln-vol17-no2-art3. Acesso em: 28 nov. 2025.
    • APA

      Coutinho, F. P., Rezende, S. O., & Rossi, R. G. (2019). GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks. Learning and Nonlinear Models, 17( 2), 27-41. doi:10.21528/lmln-vol17-no2-art3
    • NLM

      Coutinho FP, Rezende SO, Rossi RG. GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks [Internet]. Learning and Nonlinear Models. 2019 ; 17( 2): 27-41.[citado 2025 nov. 28 ] Available from: https://doi.org/10.21528/lmln-vol17-no2-art3
    • Vancouver

      Coutinho FP, Rezende SO, Rossi RG. GA-TCTN: a framework for hyper-parameter optimization and text classification using transductive semi-supervised learning through term networks [Internet]. Learning and Nonlinear Models. 2019 ; 17( 2): 27-41.[citado 2025 nov. 28 ] Available from: https://doi.org/10.21528/lmln-vol17-no2-art3
  • Source: Learning and Nonlinear Models. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS

    Acesso à fonteHow to cite
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    • ABNT

      ROSSI, Rafael Geraldeli e MARCACINI, Ricardo Marcondes e REZENDE, Solange Oliveira. Analysis of domain independent statistical keyword extraction methods for incremental clustering. Learning and Nonlinear Models, v. 12, n. 1, p. 17-37, 2014Tradução . . Disponível em: http://www.lnlm-sbic.org/papers/vol12-no1-art2.pdf. Acesso em: 28 nov. 2025.
    • APA

      Rossi, R. G., Marcacini, R. M., & Rezende, S. O. (2014). Analysis of domain independent statistical keyword extraction methods for incremental clustering. Learning and Nonlinear Models, 12( 1), 17-37. Recuperado de http://www.lnlm-sbic.org/papers/vol12-no1-art2.pdf
    • NLM

      Rossi RG, Marcacini RM, Rezende SO. Analysis of domain independent statistical keyword extraction methods for incremental clustering [Internet]. Learning and Nonlinear Models. 2014 ; 12( 1): 17-37.[citado 2025 nov. 28 ] Available from: http://www.lnlm-sbic.org/papers/vol12-no1-art2.pdf
    • Vancouver

      Rossi RG, Marcacini RM, Rezende SO. Analysis of domain independent statistical keyword extraction methods for incremental clustering [Internet]. Learning and Nonlinear Models. 2014 ; 12( 1): 17-37.[citado 2025 nov. 28 ] Available from: http://www.lnlm-sbic.org/papers/vol12-no1-art2.pdf
  • Source: Learning and Nonlinear Models. Unidade: IFSC

    Subjects: RECONHECIMENTO DE PADRÕES, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, CONTAGEM DE CÉLULAS SOMÁTICAS

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    • ABNT

      GONÇALVES, Wesley Nunes e BRUNO, Odemir Martinez. Automatic system for counting cells with elliptical shape. Learning and Nonlinear Models, v. 9, n. 1, p. 9-19, 2011Tradução . . Acesso em: 28 nov. 2025.
    • APA

      Gonçalves, W. N., & Bruno, O. M. (2011). Automatic system for counting cells with elliptical shape. Learning and Nonlinear Models, 9( 1), 9-19.
    • NLM

      Gonçalves WN, Bruno OM. Automatic system for counting cells with elliptical shape. Learning and Nonlinear Models. 2011 ; 9( 1): 9-19.[citado 2025 nov. 28 ]
    • Vancouver

      Gonçalves WN, Bruno OM. Automatic system for counting cells with elliptical shape. Learning and Nonlinear Models. 2011 ; 9( 1): 9-19.[citado 2025 nov. 28 ]

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