Filtros : "ALGORITMOS GENÉTICOS" "Indexado no MathSciNet" Removido: "2014" Limpar

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  • Source: Computing. Unidade: ICMC

    Subjects: COMPUTAÇÃO EM NUVEM, ALGORITMOS GENÉTICOS

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    • ABNT

      SHISHIDO, Henrique Yoshikazu et al. Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm. Computing, v. 103, n. 1281-1303, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00607-021-00943-9. Acesso em: 27 nov. 2025.
    • APA

      Shishido, H. Y., Estrella, J. C., Toledo, C. F. M., & Reiff-Marganiec, S. (2021). Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm. Computing, 103( 1281-1303). doi:10.1007/s00607-021-00943-9
    • NLM

      Shishido HY, Estrella JC, Toledo CFM, Reiff-Marganiec S. Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm [Internet]. Computing. 2021 ; 103( 1281-1303):[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s00607-021-00943-9
    • Vancouver

      Shishido HY, Estrella JC, Toledo CFM, Reiff-Marganiec S. Optimizing security and cost of workflow execution using task annotation and genetic-based algorithm [Internet]. Computing. 2021 ; 103( 1281-1303):[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s00607-021-00943-9
  • Source: Information Sciences. Unidade: ICMC

    Subjects: REDES NEURAIS, ALGORITMOS GENÉTICOS

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    • ABNT

      FERNANDES JUNIOR, Francisco Erivaldo e YEN, Gary G. Pruning deep convolutional neural networks architectures with evolution strategy. Information Sciences, v. 552, p. 29-47, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2020.11.009. Acesso em: 27 nov. 2025.
    • APA

      Fernandes Junior, F. E., & Yen, G. G. (2021). Pruning deep convolutional neural networks architectures with evolution strategy. Information Sciences, 552, 29-47. doi:10.1016/j.ins.2020.11.009
    • NLM

      Fernandes Junior FE, Yen GG. Pruning deep convolutional neural networks architectures with evolution strategy [Internet]. Information Sciences. 2021 ; 552 29-47.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.11.009
    • Vancouver

      Fernandes Junior FE, Yen GG. Pruning deep convolutional neural networks architectures with evolution strategy [Internet]. Information Sciences. 2021 ; 552 29-47.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2020.11.009
  • Source: Information Sciences. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS GENÉTICOS, RECONHECIMENTO DE PADRÕES

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    • ABNT

      FERNANDES, Everlandio Rebouças Queiroz e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, v. 494, p. 141-154, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.04.052. Acesso em: 27 nov. 2025.
    • APA

      Fernandes, E. R. Q., & Carvalho, A. C. P. de L. F. de. (2019). Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning. Information Sciences, 494, 141-154. doi:10.1016/j.ins.2019.04.052
    • NLM

      Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052
    • Vancouver

      Fernandes ERQ, Carvalho ACP de LF de. Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning [Internet]. Information Sciences. 2019 ; 494 141-154.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.ins.2019.04.052

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