Filtros : "Electronic Notes in Theoretical Computer Science" "INTELIGÊNCIA ARTIFICIAL" Removido: "MELO, ANA CRISTINA VIEIRA DE" Limpar

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  • Source: Electronic Notes in Theoretical Computer Science. Conference titles: Latin American Computing Conference - CLEI. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      TOMÁS, Jimena Torres et al. A framework to generate synthetic multi-label datasets. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.entcs.2014.01.025. Acesso em: 06 nov. 2025. , 2014
    • APA

      Tomás, J. T., Spolaôr, N., Cherman, E. A., & Monard, M. C. (2014). A framework to generate synthetic multi-label datasets. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. doi:10.1016/j.entcs.2014.01.025
    • NLM

      Tomás JT, Spolaôr N, Cherman EA, Monard MC. A framework to generate synthetic multi-label datasets [Internet]. Electronic Notes in Theoretical Computer Science. 2014 ; fe 2014 155-176.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1016/j.entcs.2014.01.025
    • Vancouver

      Tomás JT, Spolaôr N, Cherman EA, Monard MC. A framework to generate synthetic multi-label datasets [Internet]. Electronic Notes in Theoretical Computer Science. 2014 ; fe 2014 155-176.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1016/j.entcs.2014.01.025
  • Source: Electronic Notes in Theoretical Computer Science. Conference titles: Latin American Conference in Informatics - CLEI. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      SPOLAÔR, Newton et al. A comparison of multi-label feature selection methods using the problem transformation approach. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.entcs.2013.02.010. Acesso em: 06 nov. 2025. , 2013
    • APA

      Spolaôr, N., Cherman, E. A., Monard, M. C., & Lee, H. D. (2013). A comparison of multi-label feature selection methods using the problem transformation approach. Electronic Notes in Theoretical Computer Science. Amsterdam: Elsevier. doi:10.1016/j.entcs.2013.02.010
    • NLM

      Spolaôr N, Cherman EA, Monard MC, Lee HD. A comparison of multi-label feature selection methods using the problem transformation approach [Internet]. Electronic Notes in Theoretical Computer Science. 2013 ; 292( 5): 135-151.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1016/j.entcs.2013.02.010
    • Vancouver

      Spolaôr N, Cherman EA, Monard MC, Lee HD. A comparison of multi-label feature selection methods using the problem transformation approach [Internet]. Electronic Notes in Theoretical Computer Science. 2013 ; 292( 5): 135-151.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1016/j.entcs.2013.02.010
  • Source: Electronic Notes in Theoretical Computer Science. Conference titles: Workshop on Logic, Language, Information and Computation - WoLLIC. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, REPRESENTAÇÃO DE CONHECIMENTO

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    • ABNT

      FINGER, Marcelo e WASSERMANN, Renata. The universe of approximations. Electronic Notes in Theoretical Computer Science. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/S1571-0661(04)80847-8. Acesso em: 06 nov. 2025. , 2003
    • APA

      Finger, M., & Wassermann, R. (2003). The universe of approximations. Electronic Notes in Theoretical Computer Science. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/S1571-0661(04)80847-8
    • NLM

      Finger M, Wassermann R. The universe of approximations [Internet]. Electronic Notes in Theoretical Computer Science. 2003 ; 84 91-104.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1016/S1571-0661(04)80847-8
    • Vancouver

      Finger M, Wassermann R. The universe of approximations [Internet]. Electronic Notes in Theoretical Computer Science. 2003 ; 84 91-104.[citado 2025 nov. 06 ] Available from: https://doi.org/10.1016/S1571-0661(04)80847-8

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