Gabriel Aguiar

According to our database, Gabriel Aguiar authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Dynamic budget allocation for sparsely labeled drifting data streams.

Gabriel Jonas Aguiar, Alberto Cano

Inf. Sci., January, 2024

2023

Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners.

Sylvio Barbon, Rodrigo Capobianco Guido, Gabriel Jonas Aguiar, Everton José Santana, Mario Lemes Proença Jr., Hemant A. Patil

Speech Commun., July, 2023

A comprehensive analysis of concept drift locality in data streams.

Gabriel Jonas Aguiar, Alberto Cano

CoRR, 2023

An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams.

Gabriel Jonas Aguiar, Alberto Cano

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning.

Gabriel Jonas Aguiar, Alberto Cano

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Using meta-learning for multi-target regression.

Gabriel Jonas Aguiar, Everton José Santana, André C. P. L. F. de Carvalho, Sylvio Barbon Junior

Inf. Sci., 2022

A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework.

Gabriel Jonas Aguiar, Bartosz Krawczyk, Alberto Cano

CoRR, 2022

2019

A meta-learning approach for selecting image segmentation algorithm.

Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Gabriel F. C. Campos, Sylvio Barbon Junior

Pattern Recognit. Lett., 2019

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.

Gabriel Fillipe Centini Campos, Saulo Martiello Mastelini, Gabriel Jonas Aguiar, Rafael Gomes Mantovani, Leonimer Flavio de Melo, Sylvio Barbon Junior

EURASIP J. Image Video Process., 2019

Towards Meta-Learning for Multi-Target Regression Problems.

Gabriel Jonas Aguiar, Everton José Santana, Saulo Martiello Mastelini, Rafael Gomes Mantovani, Sylvio Barbon Jr.

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019