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

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]

@inproceedings{MoraisMS17,
  title = {A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets},
  author = {Romero F. A. B. de Morais and Péricles B. C. de Miranda and Ricardo M. A. Silva},
  year = {2017},
  url = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2017-11.pdf},
  researchr = {https://researchr.org/publication/MoraisMS17},
  cites = {0},
  citedby = {0},
  booktitle = {25th European Symposium on Artificial Neural Networks, ESANN 2017, Bruges, Belgium, April 26-28, 2017},
}