Arthur C. Gorgônio

Orcid: 0000-0002-1824-9600

According to our database1, Arthur C. Gorgônio authored at least 13 papers between 2018 and 2023.

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

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

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

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

2019
A Data Stratification Process for Instances Selection in Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

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


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