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Gabriel Jonas Aguiar
Gabriel Jonas Aguiar
Ph.D. Candidate at Virginia Commonwealth University
Dirección de correo verificada de vcu.edu - Página principal
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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
952019
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
462023
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
402019
Using meta-learning for multi-target regression
GJ Aguiar, EJ Santana, AC de Carvalho, SB Junior
Information Sciences 584, 665-684, 2022
112022
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
82019
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
52023
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
32023
Enhancing concept drift detection in drifting and imbalanced data streams through Meta-Learning
GJ Aguiar, A Cano
IEEE International Conference on Big Data, 2023
12023
A comprehensive analysis of concept drift locality in data streams
GJ Aguiar, A Cano
Knowledge-Based Systems, 111535, 2024
2024
Dynamic budget allocation for sparsely labeled drifting data streams
GJ Aguiar, A Cano
Information Sciences 654, 119821, 2024
2024
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Artículos 1–10