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  • Source: Lecture Notes in Artificial Intelligence - LNAI. Conference titles: Brazilian Symposium on Artificial Intelligence - SBIA 2008. Unidade: ICMC

    Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE

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    • ABNT

      MELLO, Rodrigo Fernandes de e GONDRA, Iker. Multi-dimensional dynamic time warping for image texture similarity. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. Disponível em: http://www.springerlink.com/content/k51370m5675jv410/fulltext.pdf. Acesso em: 02 maio 2024. , 2008
    • APA

      Mello, R. F. de, & Gondra, I. (2008). Multi-dimensional dynamic time warping for image texture similarity. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. Recuperado de http://www.springerlink.com/content/k51370m5675jv410/fulltext.pdf
    • NLM

      Mello RF de, Gondra I. Multi-dimensional dynamic time warping for image texture similarity [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 23-32.[citado 2024 maio 02 ] Available from: http://www.springerlink.com/content/k51370m5675jv410/fulltext.pdf
    • Vancouver

      Mello RF de, Gondra I. Multi-dimensional dynamic time warping for image texture similarity [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 23-32.[citado 2024 maio 02 ] Available from: http://www.springerlink.com/content/k51370m5675jv410/fulltext.pdf
  • Source: Lecture Notes in Artificial Intelligence - LNAI. Conference titles: Brazilian Symposium on Artificial Intelligence - SBIA 2008. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      VENDRAMIN, Lucas e CAMPELLO, Ricardo José Gabrielli Barreto e HRUSCHKA, Eduardo Raul. A robust methodology for comparing performances of clustering validity criteria. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-540-88190-2_29. Acesso em: 02 maio 2024. , 2008
    • APA

      Vendramin, L., Campello, R. J. G. B., & Hruschka, E. R. (2008). A robust methodology for comparing performances of clustering validity criteria. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. doi:10.1007/978-3-540-88190-2_29
    • NLM

      Vendramin L, Campello RJGB, Hruschka ER. A robust methodology for comparing performances of clustering validity criteria [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 237-247.[citado 2024 maio 02 ] Available from: https://doi.org/10.1007/978-3-540-88190-2_29
    • Vancouver

      Vendramin L, Campello RJGB, Hruschka ER. A robust methodology for comparing performances of clustering validity criteria [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 237-247.[citado 2024 maio 02 ] Available from: https://doi.org/10.1007/978-3-540-88190-2_29
  • Source: Lecture Notes in Artificial Intelligence - LNAI. Conference titles: Brazilian Symposium on Artificial Intelligence - SBIA 2008. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      MATSUBARA, Edson Takashi et al. Missing value imputation using a semi-supervised rank aggregation approach. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. Disponível em: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf. Acesso em: 02 maio 2024. , 2008
    • APA

      Matsubara, E. T., Prati, R. C., Batista, G. E. de A. P. A., & Monard, M. C. (2008). Missing value imputation using a semi-supervised rank aggregation approach. Lecture Notes in Artificial Intelligence - LNAI. Heidelberg: Springer-Verlag. Recuperado de http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf
    • NLM

      Matsubara ET, Prati RC, Batista GE de APA, Monard MC. Missing value imputation using a semi-supervised rank aggregation approach [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 217-226.[citado 2024 maio 02 ] Available from: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf
    • Vancouver

      Matsubara ET, Prati RC, Batista GE de APA, Monard MC. Missing value imputation using a semi-supervised rank aggregation approach [Internet]. Lecture Notes in Artificial Intelligence - LNAI. 2008 ; 5249 217-226.[citado 2024 maio 02 ] Available from: http://www.springerlink.com/content/l28vq5370825nv88/fulltext.pdf

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