Maia, Wesley Ferreira 
; David, Sérgio Adriani
Fonte: Engineering Analysis with Boundary Elements. Unidades: FZEA, ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, SISTEMA DE INFORMAÇÃO GEOGRÁFICA, REGRESSÃO LINEAR, ALUGUEL
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MAIA, Wesley Ferreira e DAVID, Sérgio Adriani. Machine learning applied to estate pricing for residential rentals in dynamic urban markets: the case of São Paulo city. Engineering Analysis with Boundary Elements, v. 169, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.enganabound.2024.105988. Acesso em: 30 nov. 2025.APA
Maia, W. F., & David, S. A. (2024). Machine learning applied to estate pricing for residential rentals in dynamic urban markets: the case of São Paulo city. Engineering Analysis with Boundary Elements, 169, 1-12. doi:10.1016/j.enganabound.2024.105988NLM
Maia WF, David SA. Machine learning applied to estate pricing for residential rentals in dynamic urban markets: the case of São Paulo city [Internet]. Engineering Analysis with Boundary Elements. 2024 ; 169 1-12.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1016/j.enganabound.2024.105988Vancouver
Maia WF, David SA. Machine learning applied to estate pricing for residential rentals in dynamic urban markets: the case of São Paulo city [Internet]. Engineering Analysis with Boundary Elements. 2024 ; 169 1-12.[citado 2025 nov. 30 ] Available from: https://doi.org/10.1016/j.enganabound.2024.105988
