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  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO, REPRESENTAÇÃO DA INFORMAÇÃO, MÚSICA

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      SILVA, Angelo Cesar Mendes da e SILVA, Diego Furtado e MARCACINI, Ricardo Marcondes. Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Systems with Applications, v. No 2022, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117969. Acesso em: 28 nov. 2022.
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      Silva, A. C. M. da, Silva, D. F., & Marcacini, R. M. (2022). Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Systems with Applications, No 2022, 1-9. doi:10.1016/j.eswa.2022.117969
    • NLM

      Silva ACM da, Silva DF, Marcacini RM. Multimodal representation learning over heterogeneous networks for tag-based music retrieval [Internet]. Expert Systems with Applications. 2022 ; No 2022 1-9.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
    • Vancouver

      Silva ACM da, Silva DF, Marcacini RM. Multimodal representation learning over heterogeneous networks for tag-based music retrieval [Internet]. Expert Systems with Applications. 2022 ; No 2022 1-9.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES COMPLEXAS, ECONOMETRIA, CADEIA DE SUPRIMENTOS, OPERAÇÕES BANCÁRIAS

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      SILVA, Thiago Christiano e AMANCIO, Diego Raphael e TABAK, Benjamin Miranda. Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, v. 190, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116162. Acesso em: 28 nov. 2022.
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      Silva, T. C., Amancio, D. R., & Tabak, B. M. (2022). Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, 190, 1-13. doi:10.1016/j.eswa.2021.116162
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      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
    • Vancouver

      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, MULTIMÍDIA INTERATIVA

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      SILVA, Diego Corrêa da e MANZATO, Marcelo Garcia e DURÃO, Frederico Araujo. Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, v. No 2021, p. 1-20, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115112. Acesso em: 28 nov. 2022.
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      Silva, D. C. da, Manzato, M. G., & Durão, F. A. (2021). Exploiting personalized calibration and metrics for fairness recommendation. Expert Systems with Applications, No 2021, 1-20. doi:10.1016/j.eswa.2021.115112
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      Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
    • Vancouver

      Silva DC da, Manzato MG, Durão FA. Exploiting personalized calibration and metrics for fairness recommendation [Internet]. Expert Systems with Applications. 2021 ; No 2021 1-20.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.115112
  • 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 FERREIRA, Carlos Henrique Grossi. 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: 28 nov. 2022.
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      Vaz, Y., Mello, R. F. de, & Ferreira, C. H. G. (2021). Coarse-refinement dilemma: on generalization bounds for data clustering. Expert Systems with Applications, 184, 1-28. doi:10.1016/j.eswa.2021.115399
    • NLM

      Vaz Y, Mello RF de, Ferreira CHG. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.115399
    • Vancouver

      Vaz Y, Mello RF de, Ferreira CHG. Coarse-refinement dilemma: on generalization bounds for data clustering [Internet]. Expert Systems with Applications. 2021 ; 184 1-28.[citado 2022 nov. 28 ] 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: 28 nov. 2022.
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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 2022 nov. 28 ] 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 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.115009
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      PARMEZAN, Antonio Rafael Sabino et al. Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, v. 185, p. 1-30, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115589. Acesso em: 28 nov. 2022.
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      Parmezan, A. R. S., Lee, H. D., Spolaôr, N., & Wu, F. C. (2021). Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, 185, 1-30. doi:10.1016/j.eswa.2021.115589
    • NLM

      Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
    • Vancouver

      Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, CORPUS, PORTUGUÊS DO BRASIL, NOTÍCIA

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      SILVA, Renato M et al. Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, v. 146, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113199. Acesso em: 28 nov. 2022.
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      Silva, R. M., Santos, R. L. de S., Almeida, T. A., & Pardo, T. A. S. (2020). Towards automatically filtering fake news in Portuguese. Expert Systems with Applications, 146, 1-14. doi:10.1016/j.eswa.2020.113199
    • NLM

      Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199
    • Vancouver

      Silva RM, Santos RL de S, Almeida TA, Pardo TAS. Towards automatically filtering fake news in Portuguese [Internet]. Expert Systems with Applications. 2020 ; 146 1-14.[citado 2022 nov. 28 ] Available from: https://doi.org/10.1016/j.eswa.2020.113199
  • 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: http://www.dx.doi.org/10.1016/j.eswa.2020.113556. Acesso em: 28 nov. 2022.
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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 2022 nov. 28 ] Available from: http://www.dx.doi.org/10.1016/j.eswa.2020.113556
    • Vancouver

      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 2022 nov. 28 ] Available from: http://www.dx.doi.org/10.1016/j.eswa.2020.113556
  • 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: http://dx.doi.org/10.1016/j.eswa.2018.08.020. Acesso em: 28 nov. 2022.
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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 2022 nov. 28 ] Available from: http://dx.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 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2018.08.020
  • 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: http://dx.doi.org/10.1016/j.eswa.2018.08.054. Acesso em: 28 nov. 2022.
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      Mello, R. F. de, Vaz, Y., Ferreira, C. H. G., & 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, Ferreira CHG, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2018.08.054
    • Vancouver

      Mello RF de, Vaz Y, Ferreira CHG, Bifet A. On learning guarantees to unsupervised concept drift detection on data streams [Internet]. Expert Systems with Applications. 2019 ; 117 90-102.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2018.08.054
  • 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: http://dx.doi.org/10.1016/j.eswa.2019.07.012. Acesso em: 28 nov. 2022.
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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 2022 nov. 28 ] Available from: http://dx.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 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2019.07.012
  • Source: Expert Systems with Applications. Unidades: IFSC, ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, PROCESSAMENTO DE IMAGENS

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      SÁ JUNIOR, Jarbas Joaci de Mesquita e RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Randomized neural network based signature for dynamic texture classification. Expert Systems with Applications, v. No 2019, p. 194-200, 2019Tradução . . Disponível em: http://dx.doi.org/10.1016/j.eswa.2019.05.055. Acesso em: 28 nov. 2022.
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      Sá Junior, J. J. de M., Ribas, L. C., & Bruno, O. M. (2019). Randomized neural network based signature for dynamic texture classification. Expert Systems with Applications, No 2019, 194-200. doi:10.1016/j.eswa.2019.05.055
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      Sá Junior JJ de M, Ribas LC, Bruno OM. Randomized neural network based signature for dynamic texture classification [Internet]. Expert Systems with Applications. 2019 ; No 2019 194-200.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2019.05.055
    • Vancouver

      Sá Junior JJ de M, Ribas LC, Bruno OM. Randomized neural network based signature for dynamic texture classification [Internet]. Expert Systems with Applications. 2019 ; No 2019 194-200.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2019.05.055
  • 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: http://dx.doi.org/10.1016/j.eswa.2018.09.004. Acesso em: 28 nov. 2022.
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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 2022 nov. 28 ] Available from: http://dx.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 2022 nov. 28 ] Available from: http://dx.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: http://dx.doi.org/10.1016/j.eswa.2017.10.052. Acesso em: 28 nov. 2022.
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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 2022 nov. 28 ] Available from: http://dx.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 2022 nov. 28 ] Available from: http://dx.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: http://dx.doi.org/10.1016/j.eswa.2018.06.021. Acesso em: 28 nov. 2022.
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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
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      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 2022 nov. 28 ] Available from: http://dx.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 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2018.06.021
  • Source: Expert Systems with Applications. Unidade: ICMC

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

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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: http://dx.doi.org/10.1016/j.eswa.2017.06.005. Acesso em: 28 nov. 2022.
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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 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.06.005
    • Vancouver

      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 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.06.005
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA, OTIMIZAÇÃO COMBINATÓRIA

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      SOARES, Antônio e RABÊLO, Ricardo de Andrade Lira e DELBEM, Alexandre Cláudio Botazzo. Optimization based on phylogram analysis. Expert Systems with Applications, v. 78, p. 32-50, 2017Tradução . . Disponível em: http://dx.doi.org/10.1016/j.eswa.2017.02.012. Acesso em: 28 nov. 2022.
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      Soares, A., Rabêlo, R. de A. L., & Delbem, A. C. B. (2017). Optimization based on phylogram analysis. Expert Systems with Applications, 78, 32-50. doi:10.1016/j.eswa.2017.02.012
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      Soares A, Rabêlo R de AL, Delbem ACB. Optimization based on phylogram analysis [Internet]. Expert Systems with Applications. 2017 ; 78 32-50.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.02.012
    • Vancouver

      Soares A, Rabêlo R de AL, Delbem ACB. Optimization based on phylogram analysis [Internet]. Expert Systems with Applications. 2017 ; 78 32-50.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.02.012
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RESUMOS

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      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: http://dx.doi.org/10.1016/j.eswa.2017.02.006. Acesso em: 28 nov. 2022.
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      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
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      Condori REL, Pardo TAS. Opinion summarization methods: comparing and extending extractive and abstractive approaches [Internet]. Expert Systems with Applications. 2017 ; 78 124-134.[citado 2022 nov. 28 ] Available from: http://dx.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 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.02.006
  • 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: http://dx.doi.org/10.1016/j.eswa.2016.11.028. Acesso em: 28 nov. 2022.
    • APA

      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
    • NLM

      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 2022 nov. 28 ] Available from: http://dx.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 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2016.11.028
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM

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      AFFONSO, Carlos et al. Deep learning for biological image classification. Expert Systems with Applications, v. No 2017, p. 114-122, 2017Tradução . . Disponível em: http://dx.doi.org/10.1016/j.eswa.2017.05.039. Acesso em: 28 nov. 2022.
    • APA

      Affonso, C., Rossi, A. L. D., Vieira, F. H. A., & Carvalho, A. C. P. de L. F. de. (2017). Deep learning for biological image classification. Expert Systems with Applications, No 2017, 114-122. doi:10.1016/j.eswa.2017.05.039
    • NLM

      Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.05.039
    • Vancouver

      Affonso C, Rossi ALD, Vieira FHA, Carvalho ACP de LF de. Deep learning for biological image classification [Internet]. Expert Systems with Applications. 2017 ; No 2017 114-122.[citado 2022 nov. 28 ] Available from: http://dx.doi.org/10.1016/j.eswa.2017.05.039

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