Gabriel Jonas Aguiar

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Citations	205	204
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Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Saulo Martiello MasteliniPh.D., Universidade de São PauloVerified email at alumni.usp.br
Alberto CanoAssociate Professor of Computer Science, Virginia Commonwealth University, USAVerified email at vcu.edu
Gabriel F. C. CamposComputer Science, State University of LondrinaVerified email at uel.br
André Carlos Ponce de Leon Ferreira...Artificial Intelligence Professor, University of São PauloVerified email at icmc.usp.br
Everton Jose SantanaVisiting Instructor, Stanford UniversityVerified email at stanford.edu

Gabriel Jonas Aguiar

Ph.D. Candidate at Virginia Commonwealth University

Verified email at vcu.edu - Homepage

Machine Learning Meta-Learning Data Streams


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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	95	2019
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	44	2023
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	39	2019
Using meta-learning for multi-target regression GJ Aguiar, EJ Santana, AC de Carvalho, SB Junior Information Sciences 584, 665-684, 2022	11	2022
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	8	2019
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	4	2023
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	3	2023
Enhancing concept drift detection in drifting and imbalanced data streams through Meta-Learning GJ Aguiar, A Cano IEEE International Conference on Big Data, 2023	1	2023
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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