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  • Artigo de periodico

    Applying machine learning algorithms to predict the size of the informal economy (2024)

    Felix, João; Alexandre, Michel; Lima, Gilberto Tadeu

    Source: Computational Economics. Unidade: FEA

    Subjects: ECONOMIA INFORMAL, APRENDIZADO COMPUTACIONAL, ALGORITMOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      FELIX, João e ALEXANDRE, Michel e LIMA, Gilberto Tadeu. Applying machine learning algorithms to predict the size of the informal economy. Computational Economics, 2024Tradução . . Disponível em: https://link.springer.com/article/10.1007/s10614-024-10593-6. Acesso em: 29 maio 2024.

    • APA

      Felix, J., Alexandre, M., & Lima, G. T. (2024). Applying machine learning algorithms to predict the size of the informal economy. Computational Economics. doi:10.1007/s10614-024-10593-6

    • NLM

      Felix J, Alexandre M, Lima GT. Applying machine learning algorithms to predict the size of the informal economy [Internet]. Computational Economics. 2024 ;[citado 2024 maio 29 ] Available from: https://link.springer.com/article/10.1007/s10614-024-10593-6

    • Vancouver

      Felix J, Alexandre M, Lima GT. Applying machine learning algorithms to predict the size of the informal economy [Internet]. Computational Economics. 2024 ;[citado 2024 maio 29 ] Available from: https://link.springer.com/article/10.1007/s10614-024-10593-6

  • Artigo de periodico

    Functional fuzzy rule-based modeling for interval-valued data: an empirical application for exchange rates forecasting (2021)

    Maciel, Leandro dos Santos ; Ballini, Rosangela

    Source: Computational Economics. Unidade: FEA

    Subjects: FINANÇAS, PREVISÃO ECONÔMICA, TAXA DE CÂMBIO, ECONOMETRIA

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

    • ABNT

      MACIEL, Leandro dos Santos e BALLINI, Rosangela. Functional fuzzy rule-based modeling for interval-valued data: an empirical application for exchange rates forecasting. Computational Economics, v. 57, n. 2, p. 743-771, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10614-020-09978-0. Acesso em: 29 maio 2024.

    • APA

      Maciel, L. dos S., & Ballini, R. (2021). Functional fuzzy rule-based modeling for interval-valued data: an empirical application for exchange rates forecasting. Computational Economics, 57( 2), 743-771. doi:10.1007/s10614-020-09978-0

    • NLM

      Maciel L dos S, Ballini R. Functional fuzzy rule-based modeling for interval-valued data: an empirical application for exchange rates forecasting [Internet]. Computational Economics. 2021 ; 57( 2): 743-771.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s10614-020-09978-0

    • Vancouver

      Maciel L dos S, Ballini R. Functional fuzzy rule-based modeling for interval-valued data: an empirical application for exchange rates forecasting [Internet]. Computational Economics. 2021 ; 57( 2): 743-771.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s10614-020-09978-0
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