Cite
Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil
MLA
Lorraine Trento Oliveira, et al. Capturing Deprived Areas Using Unsupervised Machine Learning and Open Data: A Case Study in São Paulo, Brazil. Dec. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....73b7293f6795d84556cda101473c07b2&authtype=sso&custid=ns315887.
APA
Lorraine Trento Oliveira, Monika Kuffer, Nina Schwarz, & Julio C. Pedrassoli. (2023). Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil.
Chicago
Lorraine Trento Oliveira, Monika Kuffer, Nina Schwarz, and Julio C. Pedrassoli. 2023. “Capturing Deprived Areas Using Unsupervised Machine Learning and Open Data: A Case Study in São Paulo, Brazil,” December. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....73b7293f6795d84556cda101473c07b2&authtype=sso&custid=ns315887.