A Deep-Learning Method for the Prediction of Socio-Economic Indicators from Street-View Imagery Using a Case Study from Brazil von Machicao, Jeaneth, Specht, Alison, Vellenich, Danton, Meneguzzi, Leandro, David, Romain, Stall, Shelley, Ferraz, Katia, Mabile, Laurence, O'Brien, Margaret, Corrêa, Pedro

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Mitigation Strategies to Improve Reproducibility of Poverty Estimations From Remote Sensing Images Using Deep Learning von Machicao, J., Ben Abbes, A., Meneguzzi, L., Corrêa, P. L. P., Specht, A., David, R., Subsol, G., Vellenich, D., Devillers, R., Stall, S., Mouquet, N., Chaumont, M., Berti‐Equille, L., Mouillot, D.

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PARSEC D(DO)MP. Project tracksheets: scholarly publications, non peer-reviewed digital outputs, dataset log, and software log von Specht, Alison, Stall, Shelley, O'Brien, Margaret, Correa, Pedro Luiz Pizzigatti, Murayama, Yasuhiro, David, Romain, Edmunds, Rorie, Mabile, Laurence, Machicao, Jeaneth, Miyairi, Nobuko, Vellenich, Danton, Delbar, Vincent, Trammell, Jamie, Kondo, Yasuhisa, Mouillot, David

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Aplicação de solução de séries temporais utilizando indicadores socioeconômicos do IBGE von Meneguzzi, Leandro, Danton F. Vellenich, Araujo, Iago Breno

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