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
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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: 13 nov. 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/s10614-024-10593-6NLM
Felix J, Alexandre M, Lima GT. Applying machine learning algorithms to predict the size of the informal economy [Internet]. Computational Economics. 2024 ;[citado 2024 nov. 13 ] Available from: https://link.springer.com/article/10.1007/s10614-024-10593-6Vancouver
Felix J, Alexandre M, Lima GT. Applying machine learning algorithms to predict the size of the informal economy [Internet]. Computational Economics. 2024 ;[citado 2024 nov. 13 ] Available from: https://link.springer.com/article/10.1007/s10614-024-10593-6
