Gabriel Aguiar

Orcid: 0000-0001-8162-5069

According to our database1, Gabriel Aguiar authored at least 10 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework.
Mach. Learn., July, 2024

Dynamic budget allocation for sparsely labeled drifting data streams.
Inf. Sci., January, 2024

A comprehensive analysis of concept drift locality in data streams.
Knowl. Based Syst., 2024

2023
Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners.
Speech Commun., July, 2023

An active learning budget-based oversampling approach for partially labeled multi-class imbalanced data streams.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Using meta-learning for multi-target regression.
Inf. Sci., 2022

2019
A meta-learning approach for selecting image segmentation algorithm.
Pattern Recognit. Lett., 2019

Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization.
EURASIP J. Image Video Process., 2019

Towards Meta-Learning for Multi-Target Regression Problems.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019


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