Paulo Jorge Leitão Adeodato

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 9

Top Topics

Model Driven Development

Data Mining Framework

Top Venues

Expert Syst. Appl.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Comput. Soc. Syst.

Publications

Kellyton Brito, Rogério Luiz Cardoso Silva Filho, Paulo Jorge Leitão Adeodato
Stop trying to predict elections only with twitter - There are other data sources and technical issues to be improved. Gov. Inf. Q. 41 (1) (2024)
Kellyton Brito, Paulo Jorge Leitão Adeodato
Machine learning for predicting elections in Latin America based on social media engagement and polls. Gov. Inf. Q. 40 (1) (2023)
Rogério Luiz Cardoso Silva Filho, Kellyton Brito, Paulo Jorge Leitão Adeodato
A data mining framework for reporting trends in the predictive contribution of factors related to educational achievement. Expert Syst. Appl. 221 (2023)
Kellyton Brito, Paulo Jorge Leitão Adeodato
Measuring the performances of politicians on social media and the correlation with major Latin American election results. Gov. Inf. Q. 39 (4) (2022)
Kellyton dos Santos Brito, Silvio Romero de Lemos Meira, Paulo Jorge Leitão Adeodato
Correlations of social media performance and electoral results in Brazilian presidential elections. Inf. Polity 26 (4) (2021)
Rogério Luiz Cardoso Silva Filho, Paulo Jorge Leitão Adeodato, Kellyton dos Santos Brito
Interpreting Classification Models Using Feature Importance Based on Marginal Local Effects. BRACIS (1) (2021)
Kellyton dos Santos Brito, Rogério Luiz Cardoso Silva Filho, Paulo Jorge Leitão Adeodato
A Systematic Review of Predicting Elections Based on Social Media Data: Research Challenges and Future Directions. IEEE Trans. Comput. Soc. Syst. 8 (4) (2021)
Kellyton dos Santos Brito, Paulo Jorge Leitão Adeodato
Predicting Brazilian and U.S. Elections with Machine Learning and Social Media Data. IJCNN (2020)
Rosalvo F. O. Neto, Paulo Jorge Leitão Adeodato, Ana Carolina Salgado
A framework for data transformation in Credit Behavioral Scoring applications based on Model Driven Development. Expert Syst. Appl. 72 (2017)
Domingos Savio Pereira Salazar, Paulo Jorge Leitão Adeodato, Adrian Lucena Arnaud
Continuous Dynamical Combination of Short and Long-Term Forecasts for Nonstationary Time Series. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Davi Carnauba de Lima Vieira, Paulo Jorge Leitão Adeodato, Paulo M. Goncalves
A Temporal Difference GNG-Based Approach for the State Space Quantization in Reinforcement Learning Environments. ICTAI (2013)
Hadautho Roberto Barros da Silva, Paulo Jorge Leitão Adeodato
A data mining approach for preventing undergraduate students retention. IJCNN (2012)
Rosalvo F. O. Neto, Paulo Jorge Leitão Adeodato, Ana Carolina Salgado, Murilo Boratto
Estudo Comparativo entre Proposicionalização e Mineração de Dados Multidimensional sobre um Banco de Dados Relacional. SBBD (Short Papers) (2012)