Search Results - "Aguiar, Gabriel Jonas"

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  1. 1

    Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization by Campos, Gabriel Fillipe Centini, Mastelini, Saulo Martiello, Aguiar, Gabriel Jonas, Mantovani, Rafael Gomes, Melo, Leonimer Flávio de, Barbon, Sylvio

    “…Contrast enhancement algorithms have been evolved through last decades to meet the requirement of its objectives. Actually, there are two main objectives while…”
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    Journal Article
  2. 2

    Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners by Barbon, Sylvio, Guido, Rodrigo Capobianco, Aguiar, Gabriel Jonas, Santana, Everton José, Proença, Mario Lemes, Patil, Hemant A.

    Published in Speech communication (01-07-2023)
    “…Non-invasive acoustic analyses of voice disorders have been at the forefront of current biomedical research. Usual strategies, essentially based on machine…”
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    Journal Article
  3. 3

    A meta-learning approach for selecting image segmentation algorithm by Aguiar, Gabriel Jonas, Mantovani, Rafael Gomes, Mastelini, Saulo M., de Carvalho, André C.P.F.L., Campos, Gabriel F.C., Junior, Sylvio Barbon

    Published in Pattern recognition letters (01-12-2019)
    “…•Automated selection of image segmentation algorithms.•Computational cost reduction in image segmentation tasks.•Meta-learning outperformed any single…”
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    Journal Article
  4. 4

    Towards meta-learning for multi-target regression problems by Aguiar, Gabriel Jonas, Santana, Everton José, Mastelini, Saulo Martiello, Mantovani, Rafael Gomes, BarbonJr, Sylvio

    Published 25-07-2019
    “…Several multi-target regression methods were devel-oped in the last years aiming at improving predictive performanceby exploring inter-target correlation…”
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    Journal Article
  5. 5

    Towards Meta-Learning for Multi-Target Regression Problems by Aguiar, Gabriel J., Santana, Everton J., Mastelini, Saulo M., Mantovani, Rafael G., Barbon, Sylvio

    “…Several multi-target regression methods were developed in the last years aiming at improving predictive performance by exploring inter-target correlation…”
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    Conference Proceeding