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  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, XXX

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      MARTARELLI, Nádia Junqueira e NAGANO, Marcelo Seido. Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm. Lecture Notes in Computer Science. Cham, Switzerland: Springer. Disponível em: https://doi.org/10.1007/978-3-030-33607-3_3. Acesso em: 14 jul. 2025. , 2019
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      Martarelli, N. J., & Nagano, M. S. (2019). Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm. Lecture Notes in Computer Science. Cham, Switzerland: Springer. doi:10.1007/978-3-030-33607-3_3
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      Martarelli NJ, Nagano MS. Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm [Internet]. Lecture Notes in Computer Science. 2019 ; 11871 20-27.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-030-33607-3_3
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      Martarelli NJ, Nagano MS. Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm [Internet]. Lecture Notes in Computer Science. 2019 ; 11871 20-27.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-030-33607-3_3
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: EESC

    Subjects: IMAGEM DIGITAL (ANÁLISE), LÓGICA FUZZY

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      VIEIRA, Raissa Tavares et al. Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_73. Acesso em: 14 jul. 2025. , 2012
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      Vieira, R. T., Chierici, C. E. de O., Ferraz, C. T., & Gonzaga, A. (2012). Local fuzzy pattern: a new way for micro-pattern analysis. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-32639-4_73
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      Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
    • Vancouver

      Vieira RT, Chierici CE de O, Ferraz CT, Gonzaga A. Local fuzzy pattern: a new way for micro-pattern analysis [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 602-611.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_73
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing - ICONIP. Unidade: EESC

    Subjects: SISTEMAS IMUNOLÓGICOS ARTIFICIAIS, ALGORITMOS GENÉTICOS

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      FRANCISCO, Daniela Oliveira e SILVA, Ivan Nunes da. On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-34487-9_77. Acesso em: 14 jul. 2025. , 2012
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      Francisco, D. O., & Silva, I. N. da. (2012). On the application of bio-inspired algorithms in timetabling problem. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-34487-9_77
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      Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
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      Francisco DO, Silva IN da. On the application of bio-inspired algorithms in timetabling problem [Internet]. Lecture Notes in Computer Science. 2012 ; 7665 637-644.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-34487-9_77
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing - ICONIP. Unidade: EESC

    Subjects: LUZ, FREIOS, SISTEMAS VEICULARES, REDES NEURAIS

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      ORTEGA, Antonio Vanderlei e SILVA, Ivan Nunes da. Neural network based approach for automotive brake light parameter estimation. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-34478-7_74. Acesso em: 14 jul. 2025. , 2012
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      Ortega, A. V., & Silva, I. N. da. (2012). Neural network based approach for automotive brake light parameter estimation. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-34478-7_74
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      Ortega AV, Silva IN da. Neural network based approach for automotive brake light parameter estimation [Internet]. Lecture Notes in Computer Science. 2012 ; 7666 611-618.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-34478-7_74
    • Vancouver

      Ortega AV, Silva IN da. Neural network based approach for automotive brake light parameter estimation [Internet]. Lecture Notes in Computer Science. 2012 ; 7666 611-618.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-34478-7_74
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Data Engineering and Automated Learning. Unidade: EESC

    Subjects: REDES NEURAIS, TRANSFORMADA DE FOURIER

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      SANTANA, Marcelo Patrício de et al. Fault identification in doubly fed induction generator using FFT and neural networks. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-32639-4_83. Acesso em: 14 jul. 2025. , 2012
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      Santana, M. P. de, Monteiro, J. R. B. de A., Paula, G. T. de, Almeida, T. E. P. de, Romero, G. B., & Faracco, J. C. (2012). Fault identification in doubly fed induction generator using FFT and neural networks. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-32639-4_83
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      Santana MP de, Monteiro JRB de A, Paula GT de, Almeida TEP de, Romero GB, Faracco JC. Fault identification in doubly fed induction generator using FFT and neural networks [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 699-706.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_83
    • Vancouver

      Santana MP de, Monteiro JRB de A, Paula GT de, Almeida TEP de, Romero GB, Faracco JC. Fault identification in doubly fed induction generator using FFT and neural networks [Internet]. Lecture Notes in Computer Science. 2012 ; 7435 699-706.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-32639-4_83
  • Source: Lecture Notes in Computer Science. Unidade: EESC

    Subjects: HEURÍSTICA, ALGORITMOS DE SCHEDULING, ANÁLISE ESTATÍSTICA DE DADOS

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      ARAÚJO, Daniella Castro e NAGANO, Marcelo Seido. An effective heuristic for the no-wait flowshop with sequence-dependent setup times problem. Lecture Notes in Computer Science, v. 6437, p. 187-196, 2010Tradução . . Disponível em: https://doi.org/10.1007/978-3-642-16761-4_17. Acesso em: 14 jul. 2025.
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      Araújo, D. C., & Nagano, M. S. (2010). An effective heuristic for the no-wait flowshop with sequence-dependent setup times problem. Lecture Notes in Computer Science, 6437, 187-196. doi:10.1007/978-3-642-16761-4_17
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      Araújo DC, Nagano MS. An effective heuristic for the no-wait flowshop with sequence-dependent setup times problem [Internet]. Lecture Notes in Computer Science. 2010 ; 6437 187-196.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-16761-4_17
    • Vancouver

      Araújo DC, Nagano MS. An effective heuristic for the no-wait flowshop with sequence-dependent setup times problem [Internet]. Lecture Notes in Computer Science. 2010 ; 6437 187-196.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-16761-4_17
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artifical Intelligence and Soft Computing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO DINÂMICA

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      PIRES, Matheus Giovanni e SILVA, Ivan Nunes da. Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-13232-2_10. Acesso em: 14 jul. 2025. , 2010
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      Pires, M. G., & Silva, I. N. da. (2010). Neurogenetic approach for solving dynamic programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-13232-2_10
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      Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
    • Vancouver

      Pires MG, Silva IN da. Neurogenetic approach for solving dynamic programming problems [Internet]. Lecture Notes in Computer Science. 2010 ; 6114 72-79.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-13232-2_10
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Neural Information Processing. Unidade: EESC

    Subjects: ALGORITMOS GENÉTICOS, PROGRAMAÇÃO NÃO LINEAR

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      BERTONI, Fabiana Cristina e SILVA, Ivan Nunes da. Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-10677-4_30. Acesso em: 14 jul. 2025. , 2009
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      Bertoni, F. C., & Silva, I. N. da. (2009). Hybrid Hopfield architecture for solving nonlinear programming problems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-10677-4_30
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      Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
    • Vancouver

      Bertoni FC, Silva IN da. Hybrid Hopfield architecture for solving nonlinear programming problems [Internet]. Lecture Notes in Computer Science. 2009 ; 5863 267-276.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-10677-4_30
  • Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: EESC

    Subjects: LÓGICA FUZZY, ALGORITMOS

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      SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. Disponível em: https://doi.org/10.1007/978-3-642-04274-4_83. Acesso em: 14 jul. 2025. , 2009
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      Silva, I. N. da, & Flauzino, R. A. (2009). Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. doi:10.1007/978-3-642-04274-4_83
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      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
    • Vancouver

      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
  • Source: Lecture Notes in Computer Science. Conference titles: International Work-Conference on Artificial Neural Networks. Unidade: EESC

    Subjects: ALGORITMOS, LÓGICA FUZZY

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      SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-540-73007-1_49. Acesso em: 14 jul. 2025. , 2007
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      Silva, I. N. da, & Flauzino, R. A. (2007). Efficient parametric adjustment of fuzzy inference system using unconstrained optimization. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-540-73007-1_49
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      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization [Internet]. Lecture Notes in Computer Science. 2007 ; 4507 399-406.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49
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      Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using unconstrained optimization [Internet]. Lecture Notes in Computer Science. 2007 ; 4507 399-406.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-73007-1_49
  • Source: Lecture Notes in Computer Science. Conference titles: International Workshop, HM 2007. Unidade: EESC

    Subjects: CLUSTERS, ALGORITMOS GENÉTICOS

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      RIBEIRO FILHO, Geraldo e NAGANO, Marcelo Seido e LORENA, Luiz Antonio Nogueira. Evolutionary clustering search for flowtime minimization in permutation flow shop. Lecture Notes in Computer Science. Heidelberg, Germany: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-540-75514-2_6. Acesso em: 14 jul. 2025. , 2007
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      Ribeiro Filho, G., Nagano, M. S., & Lorena, L. A. N. (2007). Evolutionary clustering search for flowtime minimization in permutation flow shop. Lecture Notes in Computer Science. Heidelberg, Germany: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-540-75514-2_6
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      Ribeiro Filho G, Nagano MS, Lorena LAN. Evolutionary clustering search for flowtime minimization in permutation flow shop [Internet]. Lecture Notes in Computer Science. 2007 ; 4771 69-81.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-75514-2_6
    • Vancouver

      Ribeiro Filho G, Nagano MS, Lorena LAN. Evolutionary clustering search for flowtime minimization in permutation flow shop [Internet]. Lecture Notes in Computer Science. 2007 ; 4771 69-81.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-75514-2_6
  • Source: Lecture Notes in Computer Science. Conference titles: International Symposium on Neural Networks. Unidade: EESC

    Subjects: REDES NEURAIS, ANÁLISE DE ONDALETAS

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      SOARES, Anderson da Silva e PAIVA, Maria Stela Veludo de e COELHO, Clarimar José. Technical and fundamental analysis for the forecast of financial scrip quotation: an approach employing artificial neural networks and Wavelet transform. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-540-72395-0_125. Acesso em: 14 jul. 2025. , 2007
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      Soares, A. da S., Paiva, M. S. V. de, & Coelho, C. J. (2007). Technical and fundamental analysis for the forecast of financial scrip quotation: an approach employing artificial neural networks and Wavelet transform. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-540-72395-0_125
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      Soares A da S, Paiva MSV de, Coelho CJ. Technical and fundamental analysis for the forecast of financial scrip quotation: an approach employing artificial neural networks and Wavelet transform [Internet]. Lecture Notes in Computer Science. 2007 ; 4493 1024-1032.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-72395-0_125
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      Soares A da S, Paiva MSV de, Coelho CJ. Technical and fundamental analysis for the forecast of financial scrip quotation: an approach employing artificial neural networks and Wavelet transform [Internet]. Lecture Notes in Computer Science. 2007 ; 4493 1024-1032.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-72395-0_125
  • Source: Lecture Notes in Computer Science. Unidade: EESC

    Subjects: HEURÍSTICA, ALGORITMOS DE SCHEDULING

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      RIBEIRO FILHO, Geraldo e NAGANO, Marcelo Seido e LORENA, Luiz Antonio Nogueira. Hybrid evolutionary algorithm for flowtime minimisation in no-wait flowshop scheduling. Lecture Notes in Computer Science, v. 4827, p. 1099-1109, 2007Tradução . . Disponível em: https://doi.org/10.1007/978-3-540-76631-5_105. Acesso em: 14 jul. 2025.
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      Ribeiro Filho, G., Nagano, M. S., & Lorena, L. A. N. (2007). Hybrid evolutionary algorithm for flowtime minimisation in no-wait flowshop scheduling. Lecture Notes in Computer Science, 4827, 1099-1109. doi:10.1007/978-3-540-76631-5_105
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      Ribeiro Filho G, Nagano MS, Lorena LAN. Hybrid evolutionary algorithm for flowtime minimisation in no-wait flowshop scheduling [Internet]. Lecture Notes in Computer Science. 2007 ; 4827 1099-1109.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-76631-5_105
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      Ribeiro Filho G, Nagano MS, Lorena LAN. Hybrid evolutionary algorithm for flowtime minimisation in no-wait flowshop scheduling [Internet]. Lecture Notes in Computer Science. 2007 ; 4827 1099-1109.[citado 2025 jul. 14 ] Available from: https://doi.org/10.1007/978-3-540-76631-5_105

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