Filtros : "Indexado no INSPEC" "MONARD, MARIA CAROLINA" Limpar

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  • Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL

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    • ABNT

      SPOLAÔR, Newton et al. A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing, v. 180, p. 3-15, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.07.118. Acesso em: 28 ago. 2024.
    • APA

      Spolaôr, N., Monard, M. C., Tsoumakas, G., & Lee, H. D. (2016). A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing, 180, 3-15. doi:10.1016/j.neucom.2015.07.118
    • NLM

      Spolaôr N, Monard MC, Tsoumakas G, Lee HD. A systematic review of multi-label feature selection and a new method based on label construction [Internet]. Neurocomputing. 2016 ; 180 3-15.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.neucom.2015.07.118
    • Vancouver

      Spolaôr N, Monard MC, Tsoumakas G, Lee HD. A systematic review of multi-label feature selection and a new method based on label construction [Internet]. Neurocomputing. 2016 ; 180 3-15.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.neucom.2015.07.118
  • Source: Neurocomputing. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      BRAGA, Igor e MONARD, Maria Carolina. Improving the kernel regularized least squares method for small-sample regression. Neurocomputing, v. 163, p. 106-114, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.12.097. Acesso em: 28 ago. 2024.
    • APA

      Braga, I., & Monard, M. C. (2015). Improving the kernel regularized least squares method for small-sample regression. Neurocomputing, 163, 106-114. doi:10.1016/j.neucom.2014.12.097
    • NLM

      Braga I, Monard MC. Improving the kernel regularized least squares method for small-sample regression [Internet]. Neurocomputing. 2015 ; 163 106-114.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.neucom.2014.12.097
    • Vancouver

      Braga I, Monard MC. Improving the kernel regularized least squares method for small-sample regression [Internet]. Neurocomputing. 2015 ; 163 106-114.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.neucom.2014.12.097
  • Source: IEEE Transactions on Knowledge and Data Engineering. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      PRATI, Ronaldo Cristiano e BATISTA, Gustavo Enrique de Almeida Prado Alves e MONARD, Maria Carolina. A survey on graphical methods for classification predictive performance evaluation. IEEE Transactions on Knowledge and Data Engineering, v. 23, n. 11, p. 1601-1618, 2011Tradução . . Disponível em: https://doi.org/10.1109/TKDE.2011.59. Acesso em: 28 ago. 2024.
    • APA

      Prati, R. C., Batista, G. E. de A. P. A., & Monard, M. C. (2011). A survey on graphical methods for classification predictive performance evaluation. IEEE Transactions on Knowledge and Data Engineering, 23( 11), 1601-1618. doi:10.1109/TKDE.2011.59
    • NLM

      Prati RC, Batista GE de APA, Monard MC. A survey on graphical methods for classification predictive performance evaluation [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2011 ; 23( 11): 1601-1618.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1109/TKDE.2011.59
    • Vancouver

      Prati RC, Batista GE de APA, Monard MC. A survey on graphical methods for classification predictive performance evaluation [Internet]. IEEE Transactions on Knowledge and Data Engineering. 2011 ; 23( 11): 1601-1618.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1109/TKDE.2011.59
  • Source: Journal of Physics and Chemistry of Solids. Unidade: ICMC

    Subjects: COMPUTAÇÃO APLICADA, FÍSICO-QUÍMICA

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    • ABNT

      BATANA, Alicia e BRUNO, Jorge A O e MONARD, Maria Carolina. Ionic polarizabilities in crystals at high pressures. Journal of Physics and Chemistry of Solids, v. 62, p. 1243-1245, 2001Tradução . . Disponível em: https://doi.org/10.1016/s0022-3697(01)00015-4. Acesso em: 28 ago. 2024.
    • APA

      Batana, A., Bruno, J. A. O., & Monard, M. C. (2001). Ionic polarizabilities in crystals at high pressures. Journal of Physics and Chemistry of Solids, 62, 1243-1245. doi:10.1016/s0022-3697(01)00015-4
    • NLM

      Batana A, Bruno JAO, Monard MC. Ionic polarizabilities in crystals at high pressures [Internet]. Journal of Physics and Chemistry of Solids. 2001 ; 62 1243-1245.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/s0022-3697(01)00015-4
    • Vancouver

      Batana A, Bruno JAO, Monard MC. Ionic polarizabilities in crystals at high pressures [Internet]. Journal of Physics and Chemistry of Solids. 2001 ; 62 1243-1245.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/s0022-3697(01)00015-4
  • Source: Computers and Chemistry. Unidade: ICMC

    Subjects: COMPUTAÇÃO APLICADA, FÍSICO-QUÍMICA

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    • ABNT

      MONARD, Maria Carolina et al. Pressure dependence of ionic polarizabilities in crystals. Computers and Chemistry, v. 25, p. 429-438, 2001Tradução . . Disponível em: https://doi.org/10.1007/s10789-005-0126-9. Acesso em: 28 ago. 2024.
    • APA

      Monard, M. C., Bruno, J. A. O., Faour, J., & Batana, A. (2001). Pressure dependence of ionic polarizabilities in crystals. Computers and Chemistry, 25, 429-438. doi:10.1007/s10789-005-0126-9
    • NLM

      Monard MC, Bruno JAO, Faour J, Batana A. Pressure dependence of ionic polarizabilities in crystals [Internet]. Computers and Chemistry. 2001 ; 25 429-438.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1007/s10789-005-0126-9
    • Vancouver

      Monard MC, Bruno JAO, Faour J, Batana A. Pressure dependence of ionic polarizabilities in crystals [Internet]. Computers and Chemistry. 2001 ; 25 429-438.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1007/s10789-005-0126-9

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