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Gabriel Jonas Aguiar
Gabriel Jonas Aguiar
Ph.D. Candidate at Virginia Commonwealth University
E-mail confirmado em vcu.edu - Página inicial
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Machine learning hyperparameter selection for contrast limited adaptive histogram equalization
GFC Campos, SM Mastelini, GJ Aguiar, RG Mantovani, LF Melo, ...
EURASIP Journal on Image and Video Processing 2019, 1-18, 2019
1132019
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework
GJ Aguiar, B Krawczyk, A Cano
Machine learning, 1-79, 2023
942023
A meta-learning approach for selecting image segmentation algorithm
GJ Aguiar, RG Mantovani, SM Mastelini, AC de Carvalho, GFC Campos, ...
Pattern Recognition Letters 128, 480-487, 2019
472019
Using meta-learning for multi-target regression
GJ Aguiar, EJ Santana, AC de Carvalho, SB Junior
Information Sciences 584, 665-684, 2022
132022
Multiple voice disorders in the same individual: investigating handcrafted features, multi-label classification algorithms, and base-learners
SB Junior, RC Guido, GJ Aguiar, EJ Santana, MLP Junior, HA Patil
Speech Communication 152, 102952, 2023
92023
Towards meta-learning for multi-target regression problems
GJ Aguiar, EJ Santana, SM Mastelini, RG Mantovani, SB Júnior
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 377-382, 2019
92019
An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams
GJ Aguiar, A Cano
38th ACM/SIGAPP Symposium on Applied Computing, 382–389, 2023
72023
A comprehensive analysis of concept drift locality in data streams
GJ Aguiar, A Cano
Knowledge-Based Systems 289, 111535, 2024
32024
Enhancing concept drift detection in drifting and imbalanced data streams through Meta-Learning
GJ Aguiar, A Cano
IEEE International Conference on Big Data, 2023
32023
Dynamic budget allocation for sparsely labeled drifting data streams
GJ Aguiar, A Cano
Information Sciences 654, 119821, 2024
22024
Melhoria de contraste em imagens digitais baseado em Inteligência Artificial
GJ Aguiar, BB Zarpelao, S Barbon
Londrina, 2017
2017
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