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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Netherlands
2022
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| 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 |