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  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES NEURAIS, EDUCAÇÃO, REVISÃO SISTEMÁTICA, ENSINO E APRENDIZAGEM

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      SILVA, Lenardo Chaves e et al. Applications of convolutional neural networks in education: a systematic literature review. Expert Systems with Applications, v. 231, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.120621. Acesso em: 09 nov. 2025.
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      Silva, L. C. e, Cesar Sobrinho, A. A. de C., Cordeiro, T. D., Melo, R. F., Pinto, I. I. B. S., Marques, L. B., et al. (2023). Applications of convolutional neural networks in education: a systematic literature review. Expert Systems with Applications, 231, 1-18. doi:10.1016/j.eswa.2023.120621
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      Silva LC e, Cesar Sobrinho AA de C, Cordeiro TD, Melo RF, Pinto IIBS, Marques LB, Matos DDMDC, Silva AP da, Isotani S. Applications of convolutional neural networks in education: a systematic literature review [Internet]. Expert Systems with Applications. 2023 ; 231 1-18.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
    • Vancouver

      Silva LC e, Cesar Sobrinho AA de C, Cordeiro TD, Melo RF, Pinto IIBS, Marques LB, Matos DDMDC, Silva AP da, Isotani S. Applications of convolutional neural networks in education: a systematic literature review [Internet]. Expert Systems with Applications. 2023 ; 231 1-18.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, JOGOS DE COMPUTADOR, INTERAÇÃO HOMEM-MÁQUINA

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      PEREIRA, Leonardo Tortoro et al. Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players. Expert Systems with Applications, v. 180, p. 1-15, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115009. Acesso em: 09 nov. 2025.
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      Pereira, L. T., Prado, P. V. de S., Lopes, R. M., & Toledo, C. F. M. (2021). Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players. Expert Systems with Applications, 180, 1-15. doi:10.1016/j.eswa.2021.115009
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      Pereira LT, Prado PV de S, Lopes RM, Toledo CFM. Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players [Internet]. Expert Systems with Applications. 2021 ; 180 1-15.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2021.115009
    • Vancouver

      Pereira LT, Prado PV de S, Lopes RM, Toledo CFM. Procedural generation of dungeons’ maps and locked-door missions through an evolutionary algorithm validated with players [Internet]. Expert Systems with Applications. 2021 ; 180 1-15.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2021.115009
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS DE INFORMAÇÃO, RECONHECIMENTO DE PADRÕES

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      COSTA, Arthur F. da e MANZATO, Marcelo Garcia e CAMPELLO, Ricardo José Gabrielli Barreto. Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Systems with Applications, v. 115, n. Ja 2019, p. 427-441, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.08.020. Acesso em: 09 nov. 2025.
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      Costa, A. F. da, Manzato, M. G., & Campello, R. J. G. B. (2019). Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Systems with Applications, 115( Ja 2019), 427-441. doi:10.1016/j.eswa.2018.08.020
    • NLM

      Costa AF da, Manzato MG, Campello RJGB. Boosting collaborative filtering with an ensemble of co-trained recommenders [Internet]. Expert Systems with Applications. 2019 ; 115( Ja 2019): 427-441.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020
    • Vancouver

      Costa AF da, Manzato MG, Campello RJGB. Boosting collaborative filtering with an ensemble of co-trained recommenders [Internet]. Expert Systems with Applications. 2019 ; 115( Ja 2019): 427-441.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, MATEMÁTICA DA COMPUTAÇÃO

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      MELLO, Rodrigo Fernandes de e MANAPRAGADA, Chaitanya e BIFET, Albert. Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, v. 137, p. 443-452, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.07.012. Acesso em: 09 nov. 2025.
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      Mello, R. F. de, Manapragada, C., & Bifet, A. (2019). Measuring the shattering coefficient of decision tree models. Expert Systems with Applications, 137, 443-452. doi:10.1016/j.eswa.2019.07.012
    • NLM

      Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
    • Vancouver

      Mello RF de, Manapragada C, Bifet A. Measuring the shattering coefficient of decision tree models [Internet]. Expert Systems with Applications. 2019 ; 137 443-452.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS

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      MELLO, Rodrigo Fernandes de et al. On learning guarantees to unsupervised concept drift detection on data streams. Expert Systems with Applications, v. 117, p. 90-102, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.08.054. Acesso em: 09 nov. 2025.
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      Mello, R. F. de, Vaz, Y., Grossi, C. H., & Bifet, A. (2019). On learning guarantees to unsupervised concept drift detection on data streams. Expert Systems with Applications, 117, 90-102. doi:10.1016/j.eswa.2018.08.054
    • NLM

      Mello RF de, Vaz Y, Grossi CH, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054
    • Vancouver

      Mello RF de, Vaz Y, Grossi CH, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: ALGORITMOS GENÉTICOS, REDES NEURAIS, ANÁLISE DE DESEMPENHO

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      DENYSIUK, Roman e GASPAR-CUNHA, António e DELBEM, Alexandre Cláudio Botazzo. Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, v. 116, p. 65-77, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.09.004. Acesso em: 09 nov. 2025.
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      Denysiuk, R., Gaspar-Cunha, A., & Delbem, A. C. B. (2019). Neuroevolution for solving multiobjective knapsack problems. Expert Systems with Applications, 116, 65-77. doi:10.1016/j.eswa.2018.09.004
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      Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
    • Vancouver

      Denysiuk R, Gaspar-Cunha A, Delbem ACB. Neuroevolution for solving multiobjective knapsack problems [Internet]. Expert Systems with Applications. 2019 ; 116 65-77.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.09.004
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES NEURAIS, SISTEMAS DINÂMICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE OBJETOS

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      FERREIRA, Martha Dais et al. Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, v. 94, p. 205-217, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 09 nov. 2025.
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      Ferreira, M. D., Corrêa, D. C., Nonato, L. G., & Mello, R. F. de. (2018). Designing architectures of convolutional neural networks to solve practical problems. Expert Systems with Applications, 94, 205-217. doi:10.1016/j.eswa.2017.10.052
    • NLM

      Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
    • Vancouver

      Ferreira MD, Corrêa DC, Nonato LG, Mello RF de. Designing architectures of convolutional neural networks to solve practical problems [Internet]. Expert Systems with Applications. 2018 ; 94 205-217.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO

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      SANTOS, Fabiano Fernandes dos et al. Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, v. 112, p. 34-60, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.06.021. Acesso em: 09 nov. 2025.
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      Santos, F. F. dos, Domingues, M. A., Sundermann, C. V., Carvalho, V. O. de, Moura, M. F., & Rezende, S. O. (2018). Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, 112, 34-60. doi:10.1016/j.eswa.2018.06.021
    • NLM

      Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
    • Vancouver

      Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: ALGORITMOS, PROGRAMAÇÃO NÃO LINEAR

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      MUNDIM, Leandro R e ANDRETTA, Marina e QUEIROZ, Thiago Alves de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster. Expert Systems with Applications, v. 81, p. 358-371, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.03.059. Acesso em: 09 nov. 2025.
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      Mundim, L. R., Andretta, M., & Queiroz, T. A. de. (2017). A biased random key genetic algorithm for open dimension nesting problems using no-fit raster. Expert Systems with Applications, 81, 358-371. doi:10.1016/j.eswa.2017.03.059
    • NLM

      Mundim LR, Andretta M, Queiroz TA de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster [Internet]. Expert Systems with Applications. 2017 ; 81 358-371.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.03.059
    • Vancouver

      Mundim LR, Andretta M, Queiroz TA de. A biased random key genetic algorithm for open dimension nesting problems using no-fit raster [Internet]. Expert Systems with Applications. 2017 ; 81 358-371.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.eswa.2017.03.059

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