Speeding Up Recovery from Concept Drifts. - Silas Garrido Teixeira de Carvalho Santos; Paulo Mauricio Gonçalves Júnior; Geyson Daniel dos Santos Silva; Roberto Souto Maior de Barros (ECML/PKDD (3), 2014)

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)

A Lightweight Concept Drift Detection Ensemble. - Bruno Iran Ferreira Maciel; Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros (ICTAI, 2015)

Optimizing the Parameters of Drift Detection Methods Using a Genetic Algorithm. - Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros; Paulo Mauricio Gonçalves Júnior (ICTAI, 2015)

A Boosting-like Online Learning Ensemble. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos; Paulo Mauricio Gonçalves Júnior (IJCNN, 2016)

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 large-scale comparison of concept drift detectors. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (Inf. Sci., 2018)

An overview and comprehensive comparison of ensembles for concept drift. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (Inf. Fusion, 2019)

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)

Statistical Tests Ensemble Drift Detector. - José Luis Martínez Pérez; Roberto S. M. Barros; Silas G. T. C. Santos (SSCI, 2020)

Online AdaBoost-based methods for multiclass problems. - Silas Garrido Teixeira de Carvalho Santos; Roberto Souto Maior de Barros (Artif. Intell. Rev., 2020)

MOAManager: A tool to support data stream experiments. - Bruno Iran Ferreira Maciel; Silas G. T. C. Santos; Roberto S. M. Barros (Softw. Pract. Exp., 2020)

Spectral analysis and optimization of the condition number problem. - Halisson Alberdan Cavalcanti Cardoso; Sílvio de Barros Melo; Ricardo Martins de Abreu Silva; Sidartha Azevedo Lobo de Carvalho; Silas Garrido Teixeira de Carvalho Santos; Carlos Costa Dantas (Comput. Phys. Commun., 2021)

Evaluating k-NN in the Classification of Data Streams with Concept Drift. - Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos; Jean Paul Barddal (CoRR, 2022)

Dynamically Adjusting Diversity in Ensembles for the Classification of Data Streams with Concept Drift. - Juan Isidro González Hidalgo; Silas G. T. C. Santos; Roberto S. M. Barros (ACM Trans. Knowl. Discov. Data, 2022)

Experimenting with Supervised Drift Detectors in Semi-supervised Learning. - José Luis Martínez Pérez; Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (SSCI, 2023)

Features and Classes Drift Detector to Deal with Imbalanced Data Streams. - Silas Garrido Teixeira de Carvalho Santos; Danilo Rafael de Lima Cabral; Roberto Souto Maior de Barros (SSCI, 2023)

Stock Price Movement Prediction based on Optimized Traditional Machine Learning Models. - Jose Junior De Oliveira Silva; Roberto Souto Maior de Barros; Silas Garrido Teixeira de Carvalho Santos (SSCI, 2023)

Quantifying Webpage Performance: A Comparative Analysis of TCP/IP and QUIC Communication Protocols for Improved Efficiency. - Thyago Celso Cavalcante Nepomuceno; Késsia Thais C. Nepomuceno; Fabiano Carlos da Silva; Silas Garrido Teixeira de Carvalho Santos (Data, 2023)

Paired k-NN learners with dynamically adjusted number of neighbors for classification of drifting data streams. - Juan Isidro González Hidalgo; Silas G. T. C. Santos; Roberto Souto Maior de Barros (Knowl. Inf. Syst., 2023)

Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance. - José Luis Martínez Pérez; Roberto S. M. Barros; Silas G. T. C. Santos (IEEE Access, 2025)