A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets - researchr publication

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Romero F. A. B. de Morais, Péricles B. C. de Miranda, Ricardo M. A. Silva. A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets. In 25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017. 2017. [doi]

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