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  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS, JOGOS DE COMPUTADOR

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      MORAES, Leonardo Mauro Pereira e FERREIRA, Felippe Pires e CORDEIRO, Robson Leonardo Ferreira. Modeling and analyzing social networks of games. Expert Systems with Applications, v. 261, p. 1-26, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.125449. Acesso em: 16 jun. 2025.
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      Moraes, L. M. P., Ferreira, F. P., & Cordeiro, R. L. F. (2025). Modeling and analyzing social networks of games. Expert Systems with Applications, 261, 1-26. doi:10.1016/j.eswa.2024.125449
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      Moraes LMP, Ferreira FP, Cordeiro RLF. Modeling and analyzing social networks of games [Internet]. Expert Systems with Applications. 2025 ; 261 1-26.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2024.125449
    • Vancouver

      Moraes LMP, Ferreira FP, Cordeiro RLF. Modeling and analyzing social networks of games [Internet]. Expert Systems with Applications. 2025 ; 261 1-26.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2024.125449
  • Source: Expert Systems with Applications. Unidade: FEA

    Subjects: CRISE FINANCEIRA, INFERÊNCIA BAYESIANA

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      FONSECA, Nathalia Costa e CARVALHO, João Vinicius de França. Analysis of financial contagion among economic sectors through dynamic bayesian networks. Expert Systems with Applications, v. 260, p. 1-15, 2025Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0957417424023157/pdf. Acesso em: 16 jun. 2025.
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      Fonseca, N. C., & Carvalho, J. V. de F. (2025). Analysis of financial contagion among economic sectors through dynamic bayesian networks. Expert Systems with Applications, 260, 1-15. doi:10.1016/j.eswa.2024.125448
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      Fonseca NC, Carvalho JV de F. Analysis of financial contagion among economic sectors through dynamic bayesian networks [Internet]. Expert Systems with Applications. 2025 ; 260 1-15.[citado 2025 jun. 16 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417424023157/pdf
    • Vancouver

      Fonseca NC, Carvalho JV de F. Analysis of financial contagion among economic sectors through dynamic bayesian networks [Internet]. Expert Systems with Applications. 2025 ; 260 1-15.[citado 2025 jun. 16 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417424023157/pdf
  • Source: Expert Systems with Applications. Unidade: Interinstitucional de Pós-Graduação em Estatística

    Subjects: REDES NEURAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), MERCADO FINANCEIRO

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      SOUTO, Hugo Gobato. Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction. Expert Systems with Applications, v. 255, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.124851. Acesso em: 16 jun. 2025.
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      Souto, H. G. (2024). Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction. Expert Systems with Applications, 255, 1-22. doi:10.1016/j.eswa.2024.124851
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      Souto HG. Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction [Internet]. Expert Systems with Applications. 2024 ; 255 1-22.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2024.124851
    • Vancouver

      Souto HG. Charting new avenues in financial forecasting with TimesNet: the impact of intraperiod and interperiod variations on realized volatility prediction [Internet]. Expert Systems with Applications. 2024 ; 255 1-22.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2024.124851
  • Source: Expert Systems with Applications. Unidade: IFSC

    Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS

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      CASTRO, Lucas Daniel Chiba de et al. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, v. 212, p. 118792-1-118792-7, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.118792. Acesso em: 16 jun. 2025.
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      Castro, L. D. C. de, Scabini, L. F. dos S., Ribas, L. C., Bruno, O. M., & Oliveira Junior, O. N. de. (2023). Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, 212, 118792-1-118792-7. doi:10.1016/j.eswa.2022.118792
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      Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
    • Vancouver

      Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
  • Source: Expert Systems with Applications. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      FELIZARDO, Leonardo Kanashiro et al. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, v. 202, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 16 jun. 2025.
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      Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Costa, A. H. R., Matsumoto, E. Y., Paiva, F. C. L., & Graves, C. de V. (2022). Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, 202, 1-13. doi:10.1016/j.eswa.2022.117259
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      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
    • Vancouver

      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: PROGRAMAÇÃO DINÂMICA, PESQUISA, ENGENHARIA DE PRODUÇÃO

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      SOUZA, Edson Antonio Gonçalves de e NAGANO, Marcelo Seido e ROLIM, Gustavo Alencar. Dynamic Programming algorithms and their applications in machine scheduling: a review. Expert Systems with Applications, v. 190, p. 1-35, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116180. Acesso em: 16 jun. 2025.
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      Souza, E. A. G. de, Nagano, M. S., & Rolim, G. A. (2022). Dynamic Programming algorithms and their applications in machine scheduling: a review. Expert Systems with Applications, 190, 1-35. doi:10.1016/j.eswa.2021.116180
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      Souza EAG de, Nagano MS, Rolim GA. Dynamic Programming algorithms and their applications in machine scheduling: a review [Internet]. Expert Systems with Applications. 2022 ; 190 1-35.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
    • Vancouver

      Souza EAG de, Nagano MS, Rolim GA. Dynamic Programming algorithms and their applications in machine scheduling: a review [Internet]. Expert Systems with Applications. 2022 ; 190 1-35.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, HOMOLOGIA, ESPAÇOS TOPOLÓGICOS

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      VAZ, Yule e MELLO, Rodrigo Fernandes de e GROSSI, Carlos Henrique. Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, v. 184, p. 1-28, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115399. Acesso em: 16 jun. 2025.
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      Vaz, Y., Mello, R. F. de, & Grossi, C. H. (2021). Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, 184, 1-28. doi:10.1016/j.eswa.2021.115399
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      Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
    • Vancouver

      Vaz Y, Mello RF de, Grossi CH. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
  • 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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.115009
  • Source: Expert Systems with Applications. Unidade: EACH

    Assunto: PROCESSAMENTO DE LINGUAGEM NATURAL

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      CUSTÓDIO, José Eleandro e PARABONI, Ivandre. Stacked authorship attribution of digital texts. Expert Systems with Applications, v. 176, p. 01-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.114866. Acesso em: 16 jun. 2025.
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      Custódio, J. E., & Paraboni, I. (2021). Stacked authorship attribution of digital texts. Expert Systems with Applications, 176, 01-13. doi:10.1016/j.eswa.2021.114866
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      Custódio JE, Paraboni I. Stacked authorship attribution of digital texts [Internet]. Expert Systems with Applications. 2021 ; 176 01-13.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.114866
    • Vancouver

      Custódio JE, Paraboni I. Stacked authorship attribution of digital texts [Internet]. Expert Systems with Applications. 2021 ; 176 01-13.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2021.114866
  • Source: Expert Systems with Applications. Unidades: EESC, ICMC

    Subjects: ENGENHARIA DE PRODUÇÃO, PROGRAMAÇÃO DA PRODUÇÃO, ALGORITMOS

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      TOMAZELLA, Caio Paziani e NAGANO, Marcelo Seido. A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem. Expert Systems with Applications, v. No 2020, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113556. Acesso em: 16 jun. 2025.
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      Tomazella, C. P., & Nagano, M. S. (2020). A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem. Expert Systems with Applications, No 2020, 1-19. doi:10.1016/j.eswa.2020.113556
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      Tomazella CP, Nagano MS. A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem [Internet]. Expert Systems with Applications. 2020 ; No 2020 1-19.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2020.113556
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      Tomazella CP, Nagano MS. A comprehensive review of Branch-and-Bound algorithms: guidelines and directions for further research on the flowshop scheduling problem [Internet]. Expert Systems with Applications. 2020 ; No 2020 1-19.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2020.113556
  • Source: Expert Systems with Applications. Unidade: EP

    Subjects: VAREJO, LOGÍSTICA, SATISFAÇÃO DO CONSUMIDOR, CONTROLE DE ESTOQUES

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      SANTOS, Luiz Felipe de Oliveira Moura et al. A variable neighborhood search algorithm for the bin packing problem with compatible categories. Expert Systems with Applications, v. 124, p. 209-225, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.01.052. Acesso em: 16 jun. 2025.
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      Santos, L. F. de O. M., Iwayama, R. S., Cavalcanti, L. B., Turi, L. M., Morais, F. E. de S., Mormilho, G. P., & Cunha, C. B. da. (2019). A variable neighborhood search algorithm for the bin packing problem with compatible categories. Expert Systems with Applications, 124, 209-225. doi:10.1016/j.eswa.2019.01.052
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      Santos LF de OM, Iwayama RS, Cavalcanti LB, Turi LM, Morais FE de S, Mormilho GP, Cunha CB da. A variable neighborhood search algorithm for the bin packing problem with compatible categories [Internet]. Expert Systems with Applications. 2019 ; 124 209-225.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.01.052
    • Vancouver

      Santos LF de OM, Iwayama RS, Cavalcanti LB, Turi LM, Morais FE de S, Mormilho GP, Cunha CB da. A variable neighborhood search algorithm for the bin packing problem with compatible categories [Internet]. Expert Systems with Applications. 2019 ; 124 209-225.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.01.052
  • 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: 16 jun. 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
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      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 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.020
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      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 jun. 16 ] 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: 16 jun. 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
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      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 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.012
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      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 jun. 16 ] 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: 16 jun. 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
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      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 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2018.08.054
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      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 jun. 16 ] 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: 16 jun. 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 jun. 16 ] Available from: https://doi.org/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 jun. 16 ] 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: 16 jun. 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
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      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 jun. 16 ] 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 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.10.052
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: PROGRAMAÇÃO CONCORRENTE, SISTEMAS DISTRIBUÍDOS, ANÁLISE DE SÉRIES TEMPORAIS

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      COSTA, Fausto G. da et al. Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, v. No 2017, p. 15-29, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.06.005. Acesso em: 16 jun. 2025.
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      Costa, F. G. da, Duarte, F. S. L. G., Vallim, R. M. M., & Mello, R. F. de. (2017). Multidimensional surrogate stability to detect data stream concept drift. Expert Systems with Applications, No 2017, 15-29. doi:10.1016/j.eswa.2017.06.005
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      Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005
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      Costa FG da, Duarte FSLG, Vallim RMM, Mello RF de. Multidimensional surrogate stability to detect data stream concept drift [Internet]. Expert Systems with Applications. 2017 ; No 2017 15-29.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.06.005
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS

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      PAGLIOSA, Lucas de Carvalho e MELLO, Rodrigo Fernandes de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, v. 71, p. 216-229, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.11.028. Acesso em: 16 jun. 2025.
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      Pagliosa, L. de C., & Mello, R. F. de. (2017). Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, 71, 216-229. doi:10.1016/j.eswa.2016.11.028
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      Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028
    • Vancouver

      Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RESUMOS

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    • ABNT

      CONDORI, Roque Enrique López e PARDO, Thiago Alexandre Salgueiro. Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, v. 78, p. 124-134, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.02.006. Acesso em: 16 jun. 2025.
    • APA

      Condori, R. E. L., & Pardo, T. A. S. (2017). Opinion summarization methods: comparing and extending extractive and abstractive approaches. Expert Systems with Applications, 78, 124-134. doi:10.1016/j.eswa.2017.02.006
    • NLM

      Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006
    • Vancouver

      Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.006
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CORRÊA, Débora C e RODRIGUES, Francisco Aparecido. A survey on symbolic data-based music genre classification. Expert Systems with Applications, v. 60, p. 190-210, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.04.008. Acesso em: 16 jun. 2025.
    • APA

      Corrêa, D. C., & Rodrigues, F. A. (2016). A survey on symbolic data-based music genre classification. Expert Systems with Applications, 60, 190-210. doi:10.1016/j.eswa.2016.04.008
    • NLM

      Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008
    • Vancouver

      Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008

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