Search Results - Vale, Karliane M. O.

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  1. 1
    A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments

    A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments by Gorgonio, Arthur Costa, de P. Canuto, Anne Magaly, Vale, Karliane M. O., Gorgonio, Flavius L.

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  2. 2
    A Co-Training-based Algorithm Using Confidence Values to Select Instances

    A Co-Training-based Algorithm Using Confidence Values to Select Instances by Vale, Karliane M. O., Gorgonio, Flavius L., Araujo, Yago N., Gorgonio, Arthur C., de P. Canuto, Anne Magaly

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  3. 3
    ReinSel: A class-based mechanism for feature selection in ensemble of classifiers

    ReinSel: A class-based mechanism for feature selection in ensemble of classifiers by Canuto, Anne M.P., Vale, Karliane M.O., Feitos, Antonino, Signoretti, Alberto

    Published in Applied soft computing
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  4. 4
    A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm

    A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm by Araujo, Yago N., Vale, Karliane M. O., Gorgonio, Flavius L., Anne Magaly de, P. Canuto, Gorgonio, Arthur Costa, da S. Barreto, Cephas A.

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  5. 5
    A Data Stratification Process for Instances Selection in Semi-Supervised Learning

    A Data Stratification Process for Instances Selection in Semi-Supervised Learning by Vale, Karliane M. O., Magaly de P. Canuto, Anne, Gorgonio, Flavius L., Lucena, Amarildo J. F., Alves, Cainan T., Gorgonio, Arthur C., Santos, Araken M.

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  6. 6
    A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers

    A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers by Santana, Laura E A, Silva, Ligia, Canuto, Anne M P, Pintro, Fernando, Vale, Karliane O

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  7. 7
    Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods

    Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods by Vale, K O, Neto, A F, Canuto, A M P, Dias, F G

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  8. 8
    Using a reinforcement-based feature selection method in Classifier Ensemble

    Using a reinforcement-based feature selection method in Classifier Ensemble by Vale, Karliane O, Neto, Antonino Feitosa, Canuto, Anne M P

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