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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: 27 out. 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 out. 27 ] 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 out. 27 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417424023157/pdf
  • Source: Expert Systems with Applications. Unidade: EESC

    Assunto: ENGENHARIA ELÉTRICA

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      DESUÓ NETO, Luiz et al. Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields. Expert Systems with Applications, v. 276, p. 1-16, 2025Tradução . . Disponível em: https://dx.doi.org/10.1016/j.eswa.2025.127137. Acesso em: 27 out. 2025.
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      Desuó Neto, L., Caetano, H. de O., Fogliatto, M. de S. S. 'A., & Maciel, C. D. (2025). Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields. Expert Systems with Applications, 276, 1-16. doi:10.1016/j.eswa.2025.127137
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      Desuó Neto L, Caetano H de O, Fogliatto M de SS'A, Maciel CD. Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields [Internet]. Expert Systems with Applications. 2025 ; 276 1-16.[citado 2025 out. 27 ] Available from: https://dx.doi.org/10.1016/j.eswa.2025.127137
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      Desuó Neto L, Caetano H de O, Fogliatto M de SS'A, Maciel CD. Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields [Internet]. Expert Systems with Applications. 2025 ; 276 1-16.[citado 2025 out. 27 ] Available from: https://dx.doi.org/10.1016/j.eswa.2025.127137
  • Source: Expert Systems with Applications. Unidade: ICB

    Subjects: FARMACOLOGIA, LEUCEMIA MIELOIDE AGUDA, NEOPLASIAS POR TIPO HISTOLÓGICO, SOFTWARES, LINGUAGEM DE PROGRAMAÇÃO

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      BERTO, Matheus V. V. et al. Accelerating discoveries in medicine using distributed vector representations of words. Expert Systems with Applications, v. 250, p. 11 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2024.123566. Acesso em: 27 out. 2025.
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      Berto, M. V. V., Freitas, B. L., Scarton, C., Almeida, T. A. de, & Machado Neto, J. A. (2024). Accelerating discoveries in medicine using distributed vector representations of words. Expert Systems with Applications, 250, 11 . doi:10.1016/j.eswa.2024.123566
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      Berto MVV, Freitas BL, Scarton C, Almeida TA de, Machado Neto JA. Accelerating discoveries in medicine using distributed vector representations of words [Internet]. Expert Systems with Applications. 2024 ; 250 11 .[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2024.123566
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      Berto MVV, Freitas BL, Scarton C, Almeida TA de, Machado Neto JA. Accelerating discoveries in medicine using distributed vector representations of words [Internet]. Expert Systems with Applications. 2024 ; 250 11 .[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2024.123566
  • 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: 27 out. 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 out. 27 ] Available from: https://doi.org/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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2024.124851
  • 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: 27 out. 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 out. 27 ] 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 out. 27 ] 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: 27 out. 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 out. 27 ] 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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
  • Source: Expert Systems with Applications. Unidade: FEARP

    Subjects: EMPRESAS, FINANÇAS, ECONOMIA, FALÊNCIA

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      FIGLIOLI, Bruno e LIMA, Fabiano Guasti. A proposed corporate distress and recovery prediction score based on financial and economic components. Expert Systems with Applications, v. 197, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.116726. Acesso em: 27 out. 2025.
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      Figlioli, B., & Lima, F. G. (2022). A proposed corporate distress and recovery prediction score based on financial and economic components. Expert Systems with Applications, 197, 1-20. doi:10.1016/j.eswa.2022.116726
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      Figlioli B, Lima FG. A proposed corporate distress and recovery prediction score based on financial and economic components [Internet]. Expert Systems with Applications. 2022 ; 197 1-20.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.116726
    • Vancouver

      Figlioli B, Lima FG. A proposed corporate distress and recovery prediction score based on financial and economic components [Internet]. Expert Systems with Applications. 2022 ; 197 1-20.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.116726
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: VEÍCULOS AUTÔNOMOS, ALGORITMOS, ENGENHARIA ELÉTRICA

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      MORAIS, Gustavo Alves Prudencio de et al. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, v. 192, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116304. Acesso em: 27 out. 2025.
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      Morais, G. A. P. de, Marcos, L. B., Barbosa, F. M., Barbosa, B. H. G., Terra, M. H., & Grassi Júnior, V. (2022). Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, 192, 1-18. doi:10.1016/j.eswa.2021.116304
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      Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
    • Vancouver

      Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
  • 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: 27 out. 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 out. 27 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
    • Vancouver

      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 out. 27 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: REDE DE COMUNICAÇÃO, FALHA, ENGENHARIA MECÂNICA

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      SESTITO, Guilherme Serpa et al. Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, v. 206, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117751. Acesso em: 27 out. 2025.
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      Sestito, G. S., Turcato, A. C., Dias, A. L., Ferrari, P., & Silva, M. M. da. (2022). Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, 206, 1-8. doi:10.1016/j.eswa.2022.117751
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      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
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      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
  • Source: Expert Systems with Applications. Unidade: EESC

    Subjects: TOMADA DE DECISÃO, ANÁLISE DE RISCO, HOSPITAIS, ENGENHARIA DE PRODUÇÃO

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      ARANTES, Rafael Ferro Munhoz et al. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room. Expert Systems with Applications, v. 207, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117990. Acesso em: 27 out. 2025.
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      Arantes, R. F. M., Calache, L. D. D. R., Zanon, L. G., Osiro, L., & Carpinetti, L. C. R. (2022). A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room. Expert Systems with Applications, 207, 1-16. doi:10.1016/j.eswa.2022.117990
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      Arantes RFM, Calache LDDR, Zanon LG, Osiro L, Carpinetti LCR. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room [Internet]. Expert Systems with Applications. 2022 ; 207 1-16.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
    • Vancouver

      Arantes RFM, Calache LDDR, Zanon LG, Osiro L, Carpinetti LCR. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room [Internet]. Expert Systems with Applications. 2022 ; 207 1-16.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
  • 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: 27 out. 2025.
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      Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Reali Costa, A. H., 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, Reali Costa AH, 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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
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      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Reali Costa AH, 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 out. 27 ] 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: 27 out. 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 out. 27 ] 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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
  • 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: 27 out. 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 out. 27 ] Available from: https://doi.org/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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
  • 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: 27 out. 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 out. 27 ] 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 out. 27 ] 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: 27 out. 2025.
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      Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Reali Costa, A. H. (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, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420
    • Vancouver

      Glatt R, Silva FL da, Bianchi RA da C, Reali Costa AH. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2025 out. 27 ] 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: 27 out. 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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
    • Vancouver

      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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149
  • 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: 27 out. 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
    • NLM

      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 out. 27 ] 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 out. 27 ] 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

    Versão PublicadaAcesso à fonteDOIHow to cite
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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: 27 out. 2025.
    • APA

      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
    • NLM

      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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.020
    • Vancouver

      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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2019.07.020
  • Source: Expert Systems with Applications. Unidade: FFCLRP

    Subjects: APRENDIZADO COMPUTACIONAL, GESTÃO DA INFORMAÇÃO, PASSEIOS ALEATÓRIOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      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: 27 out. 2025.
    • APA

      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
    • NLM

      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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014
    • Vancouver

      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 out. 27 ] Available from: https://doi.org/10.1016/j.eswa.2017.09.014

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