Cephas A. S. Barreto

Orcid: 0000-0002-4756-8571

According to our database1, Cephas A. S. Barreto authored at least 11 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based 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
Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning.
IEEE Access, 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
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results.
Theor. Comput. Sci., 2020

Population-based bio-inspired algorithms for cluster ensembles optimization.
Nat. Comput., 2020

Team Recommendation for the Pokémon GO Game Using Optimization Approaches.
Proceedings of the 19th Brazilian Symposium on Computer Games and Digital Entertainment, 2020

Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2017
A multi-agent metaheuristic hybridization to the automatic design of ensemble systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

QueueWe: An IoT-Based Solution for Queue Monitoring.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017


  Loading...