DMPML Data Mining Preparation Markup Language. - Paulo M. Goncalves; Adrian L. Arnaud; Roberto Souto Maior de Barros (AICCSA, 2008)

Improving reinforcement learning algorithms by the use of data mining techniques for feature and action selection. - Davi C. de L. Vieira; Paulo J. L. Adeodato; Paulo M. Goncalves (SMC, 2010)

Automating Data Preprocessing with DMPML and KDDML. - Paulo M. Goncalves; Roberto Souto Maior de Barros (ACIS-ICIS, 2011)

Comparing approaches to prepare data in classification problems. - Paulo M. Goncalves; Roberto Souto Maior de Barros (AICCSA, 2011)

On the Use of Data Mining Tools for Data Preparation in Classification Problems. - Paulo M. Goncalves; Roberto Souto Maior de Barros; Davi C. de L. Vieira (ACIS-ICIS, 2012)

A Temporal Difference GNG-Based Approach for the State Space Quantization in Reinforcement Learning Environments. - Davi Carnauba de Lima Vieira; Paulo Jorge Leitão Adeodato; Paulo M. Goncalves (ICTAI, 2013)

RCD: A recurring concept drift framework. - Paulo Mauricio Gonçalves Jr.; Roberto Souto Maior de Barros (Pattern Recognit. Lett., 2013)

A comparative study on concept drift detectors. - Paulo Mauricio Gonçalves Jr.; Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros; Davi Carnauba de Lima Vieira (Expert Syst. Appl., 2014)

RDDM: Reactive drift detection method. - Roberto Souto Maior de Barros; Danilo Rafael de Lima Cabral; Paulo Mauricio Gonçalves Jr.; Silas Garrido Teixeira de Carvalho Santos (Expert Syst. Appl., 2017)

A differential evolution based method for tuning concept drift detectors in data streams. - Silas G. T. C. Santos; Roberto S. M. Barros; Paulo Mauricio Gonçalves Jr. (Inf. Sci., 2019)

A Change Detector for Prior Probabilities of Classes. - Paulo M. Goncalves; Roberto S. M. Barros; Sylvain Chartier (SSCI, 2020)

Statistical Tests to Identify Virtual Concept Drifts. - Paulo M. Goncalves; Sylvain Chartier; Roberto Souto Maior de Barros (IJCNN, 2021)