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Predicting socioeconomic indicators using transfer learning on imagery data: an application in Brazil

Censuses and other surveys responsible for gathering socioeconomic data are expensive and time consuming. For this reason, in poor and developing countries there often is a long gap between these surveys, which hinders the appropriate formulation of public policies as well as the development of rese...

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Detalles Bibliográficos
Autores principales: Castro, Diego A., Álvarez, Mauricio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944410/
https://www.ncbi.nlm.nih.gov/pubmed/35345631
http://dx.doi.org/10.1007/s10708-022-10618-3