Karliane M. O. Vale
Orcid: 0000-0001-9845-8156
According to our database1,
Karliane M. O. Vale
authored at least 15 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Two Efficient Training Strategies for DyDaSL: A Dynamic Data Stream Learner Framework with Semi-Supervised Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
An Efficient Approach to Select Instances in Self-Training and Co-Training Semi-Supervised Methods.
IEEE Access, 2022
An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Um Estudo Comparativo entre Algoritmos de Proteção da Privacidade Aplicado à Bases de Dados na Área de Saúde.
Proceedings of the XXXIII Simpósio Brasileiro de Banco de Dados, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2012
Appl. Soft Comput., 2012
2010
Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010
A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008