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  • 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
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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
  • Source: Expert Systems with Applications. Unidades: IME, EP

    Subjects: PESQUISA OPERACIONAL, TEORIA DE SISTEMAS E CONTROLE, PROGRAMAÇÃO LINEAR

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      BIRGIN, Ernesto Julian Goldberg e ROMÃO, Oberlan Christo e RONCONI, Débora Pretti. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, v. 223, p. 26 on-line, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.119866. Acesso em: 16 jun. 2025.
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      Birgin, E. J. G., Romão, O. C., & Ronconi, D. P. (2023). A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers. Expert Systems with Applications, 223, 26 on-line. doi:10.1016/j.eswa.2023.119866
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      Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
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      Birgin EJG, Romão OC, Ronconi DP. A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers [Internet]. Expert Systems with Applications. 2023 ; 223 26 on-line.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
  • 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
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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
  • Source: Expert Systems with Applications. Unidade: FEA

    Subjects: DINHEIRO ELETRÔNICO, MOEDAS, PREVISÃO ECONÔMICA, FINANÇAS

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      MACIEL, Leandro dos Santos et al. Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, v. 210, 2022Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0957417422014981. Acesso em: 16 jun. 2025.
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      Maciel, L. dos S., Ballini, R., Gomide, F., & Yager, R. (2022). Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, 210. doi:10.1016/j.eswa.2022.118387
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      Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2025 jun. 16 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
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      Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2025 jun. 16 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
  • 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
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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
  • Source: Expert Systems with Applications. Unidade: EP

    Subjects: TAXA DE CÂMBIO, FINANÇAS, BEHAVIORISMO, APRENDIZADO COMPUTACIONAL

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      MATSUMOTO, Élia Yathie et al. Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, v. 194, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.116521. Acesso em: 16 jun. 2025.
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      Matsumoto, É. Y., Del Moral Hernandez, E., Yoshinaga, C. E., & Pinto, A. de C. (2022). Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, 194, 1-14. doi:10.1016/j.eswa.2022.116521
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      Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
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      Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
  • 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
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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
  • Source: Expert Systems with Applications. Unidade: EP

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      GLATT, Ruben et al. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, v. 156, p. 113420, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113420. Acesso em: 16 jun. 2025.
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      Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Costa, A. H. R. (2020). DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, 156, 113420. doi:10.1016/j.eswa.2020.113420
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      Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
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      Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
  • Source: Expert Systems with Applications. Unidade: EP

    Assunto: ALGORITMOS

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      BERTANI, Ricardo Mitollo e BIANCHI, Reinaldo Augusto da Costa e REALI COSTA, Anna Helena. Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, v. 146, p. 113149, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.113149. Acesso em: 16 jun. 2025.
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      Bertani, R. M., Bianchi, R. A. da C., & Reali Costa, A. H. (2020). Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, 146, 113149. doi:10.1016/j.eswa.2019.113149
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      Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
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      Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
  • 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
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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
  • Source: Expert Systems with Applications. Unidade: EP

    Subjects: BEBIDAS, LOGÍSTICA, TOMADA DE DECISÃO, CONTÊINERES

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      RANCK JÚNIOR, Rodolfo et al. A Hybrid approach for a multi-compartment container loading problem. Expert Systems with Applications, v. 137, p. 471-492, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.07.020. Acesso em: 16 jun. 2025.
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      Ranck Júnior, R., Yanasse, H. H., Morabito Neto, R., & Junqueira, L. (2019). A Hybrid approach for a multi-compartment container loading problem. Expert Systems with Applications, 137, 471-492. doi:10.1016/j.eswa.2019.07.020
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      Ranck Júnior R, Yanasse HH, Morabito Neto R, Junqueira L. A Hybrid approach for a multi-compartment container loading problem [Internet]. Expert Systems with Applications. 2019 ; 137 471-492.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.020
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      Ranck Júnior R, Yanasse HH, Morabito Neto R, Junqueira L. A Hybrid approach for a multi-compartment container loading problem [Internet]. Expert Systems with Applications. 2019 ; 137 471-492.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.020
  • 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: 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. 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: https://doi.org/10.1016/j.eswa.2019.05.055. Acesso em: 16 jun. 2025.
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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 2025 jun. 16 ] Available from: https://doi.org/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 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2019.05.055
  • 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
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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
  • Source: Expert Systems with Applications. Unidade: FFCLRP

    Subjects: APRENDIZADO COMPUTACIONAL, GESTÃO DA INFORMAÇÃO, PASSEIOS ALEATÓRIOS

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      CUPERTINO, Thiago Henrique et al. A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, v. 92, p. 289-303, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.09.014. Acesso em: 16 jun. 2025.
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      Cupertino, T. H., Carneiro, M. G., Qiusheng, Z., Junbao, Z., & Liang, Z. (2018). A scheme for high level data classification using random walk and network measures. Expert Systems with Applications, 92, 289-303. doi:10.1016/j.eswa.2017.09.014
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      Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014
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      Cupertino TH, Carneiro MG, Qiusheng Z, Junbao Z, Liang Z. A scheme for high level data classification using random walk and network measures [Internet]. Expert Systems with Applications. 2018 ; 92 289-303.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014
  • 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: 16 jun. 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
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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 2025 jun. 16 ] Available from: https://doi.org/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 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
  • 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
    • 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 2025 jun. 16 ] Available from: https://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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    • ABNT

      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: https://doi.org/10.1016/j.eswa.2017.02.012. Acesso em: 16 jun. 2025.
    • APA

      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
    • NLM

      Soares A, Rabêlo R de AL, Delbem ACB. Optimization based on phylogram analysis [Internet]. Expert Systems with Applications. 2017 ; 78 32-50.[citado 2025 jun. 16 ] Available from: https://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 2025 jun. 16 ] Available from: https://doi.org/10.1016/j.eswa.2017.02.012
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS

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

      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.
    • 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 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

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