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  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 26 out. 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 out. 26 ] 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 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2024.125449
  • Fonte: Expert Systems with Applications. Unidade: FEA

    Assuntos: 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: 26 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. 26 ] 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. 26 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417424023157/pdf
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE SINAIS, RODOVIAS, ACIDENTES DE TRÂNSITO, SEGURANÇA NO TRÂNSITO

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      SILVA, Renato Moraes et al. Vulnerable road user detection and safety enhancement: a comprehensive survey. Expert Systems with Applications, v. No 2025, p. 1-30, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2025.128529. Acesso em: 26 out. 2025.
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      Silva, R. M., Azevedo, G. F., Berto, M. V. V., Rocha, J. R., Fidelis, E. C., Nogueira, M. V., et al. (2025). Vulnerable road user detection and safety enhancement: a comprehensive survey. Expert Systems with Applications, No 2025, 1-30. doi:10.1016/j.eswa.2025.128529
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      Silva RM, Azevedo GF, Berto MVV, Rocha JR, Fidelis EC, Nogueira MV, Lisboa PH, Almeida TA de. Vulnerable road user detection and safety enhancement: a comprehensive survey [Internet]. Expert Systems with Applications. 2025 ; No 2025 1-30.[citado 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2025.128529
    • Vancouver

      Silva RM, Azevedo GF, Berto MVV, Rocha JR, Fidelis EC, Nogueira MV, Lisboa PH, Almeida TA de. Vulnerable road user detection and safety enhancement: a comprehensive survey [Internet]. Expert Systems with Applications. 2025 ; No 2025 1-30.[citado 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2025.128529
    ODS 11. Cidades e comunidades sustentáveis
  • Fonte: 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: 26 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. 26 ] 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. 26 ] Available from: https://dx.doi.org/10.1016/j.eswa.2025.127137
  • Fonte: Expert Systems with Applications. Unidade: ICB

    Assuntos: 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: 26 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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2024.123566
    • Vancouver

      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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2024.123566
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: SISTEMAS DE RECOMENDAÇÃO, APRENDIZADO COMPUTACIONAL, TEORIA DE RESPOSTA AO ITEM

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      MARANA, Fernanda Tostes et al. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, v. 245, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.122981. Acesso em: 26 out. 2025.
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      Marana, F. T., Fernandes, R. da S., Bazán Guzmán, J. L., Carvalho, A. C. P. de L. F. de, & Cúri, M. (2024). What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes. Expert Systems with Applications, 245, 1-12. doi:10.1016/j.eswa.2023.122981
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      Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
    • Vancouver

      Marana FT, Fernandes R da S, Bazán Guzmán JL, Carvalho ACP de LF de, Cúri M. What rating they will probably give: a cognitive diagnosis approach for recommending items based on polytomous responses and latent attributes [Internet]. Expert Systems with Applications. 2024 ; 245 1-12.[citado 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2023.122981
  • Fonte: Expert Systems with Applications. Unidade: Interinstitucional de Pós-Graduação em Estatística

    Assuntos: 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: 26 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. 26 ] 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 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2024.124851
  • Fonte: Expert Systems with Applications. Unidades: IME, EP

    Assuntos: 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: 26 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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
    • Vancouver

      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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2023.119866
  • Fonte: Expert Systems with Applications. Unidade: IFSC

    Assuntos: 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: 26 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. 26 ] 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 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
  • Fonte: Expert Systems with Applications. Unidade: ICMC

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

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      SILVA, Lenardo Chaves e et al. Applications of convolutional neural networks in education: a systematic literature review. Expert Systems with Applications, v. 231, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2023.120621. Acesso em: 26 out. 2025.
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      Silva, L. C. e, Cesar Sobrinho, A. A. de C., Cordeiro, T. D., Melo, R. F., Pinto, I. I. B. S., Marques, L. B., et al. (2023). Applications of convolutional neural networks in education: a systematic literature review. Expert Systems with Applications, 231, 1-18. doi:10.1016/j.eswa.2023.120621
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      Silva LC e, Cesar Sobrinho AA de C, Cordeiro TD, Melo RF, Pinto IIBS, Marques LB, Matos DDMDC, Silva AP da, Isotani S. Applications of convolutional neural networks in education: a systematic literature review [Internet]. Expert Systems with Applications. 2023 ; 231 1-18.[citado 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
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      Silva LC e, Cesar Sobrinho AA de C, Cordeiro TD, Melo RF, Pinto IIBS, Marques LB, Matos DDMDC, Silva AP da, Isotani S. Applications of convolutional neural networks in education: a systematic literature review [Internet]. Expert Systems with Applications. 2023 ; 231 1-18.[citado 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2023.120621
  • Fonte: Expert Systems with Applications. Unidade: FEARP

    Assuntos: 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: 26 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. 26 ] 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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.116726
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: 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: 26 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. 26 ] 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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: 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: 26 out. 2025.
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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
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      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 2025 out. 26 ] 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 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
  • Fonte: Expert Systems with Applications. Unidade: FEA

    Assuntos: 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: 26 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. 26 ] 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. 26 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: 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: 26 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. 26 ] 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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: 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: 26 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. 26 ] 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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
  • Fonte: 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: 26 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
    • NLM

      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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
    • Vancouver

      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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
  • Fonte: Expert Systems with Applications. Unidade: EP

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

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    • ABNT

      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: 26 out. 2025.
    • APA

      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
    • NLM

      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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
    • Vancouver

      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. 26 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: PROGRAMAÇÃO DINÂMICA, PESQUISA, ENGENHARIA DE PRODUÇÃO

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    • ABNT

      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: 26 out. 2025.
    • APA

      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
    • NLM

      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. 26 ] 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 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
  • Fonte: Expert Systems with Applications. Unidade: ICMC

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

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    • ABNT

      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: 26 out. 2025.
    • APA

      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
    • NLM

      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 2025 out. 26 ] 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 2025 out. 26 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162

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