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:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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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

FlexCon-CE: A Semi-supervised Method with an Ensemble-Based Adaptive Confidence.
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
A Co-Training-based Algorithm Using Confidence Values to Select Instances.
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
A Data Stratification Process for Instances Selection in Semi-Supervised Learning.
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

Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2012
ReinSel: A class-based mechanism for feature selection in ensemble of classifiers.
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

Using a reinforcement-based feature selection method in Classifier Ensemble.
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
A Class-Based Feature Selection Method for Ensemble Systems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008


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