Filtros : "Expert Systems with Applications" "FINANÇAS" Limpar

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  • Fonte: Expert Systems with Applications. Unidade: FEARP

    Assuntos: EMPRESAS, FINANÇAS, ECONOMIA, FALÊNCIA

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    • ABNT

      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: 08 nov. 2025.
    • APA

      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
    • NLM

      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 nov. 08 ] 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 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2022.116726
  • Fonte: Expert Systems with Applications. Unidade: FEA

    Assuntos: DINHEIRO ELETRÔNICO, MOEDAS, PREVISÃO ECONÔMICA, FINANÇAS

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    • ABNT

      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: 08 nov. 2025.
    • APA

      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
    • NLM

      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 nov. 08 ] 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 nov. 08 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
  • 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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521

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