Silas G. T. C. Santos

According to our database, Silas G. T. C. Santos authored at least 20 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., April, 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

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Experimenting with Supervised Drift Detectors in Semi-supervised Learning.

José Luis Martínez Pérez, Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

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

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

2021

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

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

Online AdaBoost-based methods for multiclass problems.

Silas Garrido Teixeira de Carvalho Santos, Roberto Souto Maior de Barros

Artif. Intell. Rev., 2020

Statistical Tests Ensemble Drift Detector.

José Luis Martínez Pérez, Roberto S. M. Barros, Silas G. T. C. Santos

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

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

An overview and comprehensive comparison of ensembles for concept drift.

Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos

Inf. Fusion, 2019

2018

A large-scale comparison of concept drift detectors.

Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos

Inf. Sci., 2018

2017

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

2016

A Boosting-like Online Learning Ensemble.

Roberto Souto Maior de Barros, Silas Garrido Teixeira de Carvalho Santos, Paulo Mauricio Gonçalves Júnior

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

A Lightweight Concept Drift Detection Ensemble.

Bruno Iran Ferreira Maciel, Silas Garrido Teixeira de Carvalho Santos, Roberto Souto Maior de Barros

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014