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Experiences Integrating Heterogeneous Government Open Data Sources to Deliver Services and Promote Transparency in Brazil.

, , , and . COMPSAC, page 606-607. IEEE Computer Society, (2014)

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Predicting Brazilian and U.S. Elections with Machine Learning and Social Media Data., and . IJCNN, page 1-8. IEEE, (2020)Interpreting Classification Models Using Feature Importance Based on Marginal Local Effects., , and . BRACIS (1), volume 13073 of Lecture Notes in Computer Science, page 484-497. Springer, (2021)Brazilian smart cities: using a maturity model to measure and compare inequality in cities., , , , and . DG.O, page 230-238. ACM, (2015)Methods and Processes Definitions for Multiplatform Social Network Games Development with Distributed Teams., , , , , , , , and . SBGames, page 189-195. IEEE Computer Society, (2011)Brazilian government open data: implementation, challenges, and potential opportunities., , , and . DG.O, page 11-16. ACM, (2014)(Br-SCMM) Brazilian Smart City Maturity Model: A Perspective from the Health Domain., , , , , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 983. IOS Press, (2015)Implementing Web Applications as Social Machines Composition: A Case Study., , , , , , and . SEKE, page 311-314. Knowledge Systems Institute Graduate School, (2012)LIFT: Reusing Knowledge from Legacy Systems., , , , and . SBCARS, page 75-88. SBC - Brazilian Computer Society, (2007)LIFT Revisited: Enhancing the Understanding of NATURAL/ADABAS Legacy Systems., , and . CSMR, page 272-273. IEEE Computer Society, (2010)Assessing the benefits of open government data: the case of Meu Congresso Nacional in Brazilian elections 2014., , , and . DG.O, page 89-96. ACM, (2015)