EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data

Sarah Vluymans, Isaac Triguero, Chris Cornelis, Yvan Saeys. EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing, 216:596-610, 2016. [doi]

@article{VluymansTCS16,
  title = {EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data},
  author = {Sarah Vluymans and Isaac Triguero and Chris Cornelis and Yvan Saeys},
  year = {2016},
  doi = {10.1016/j.neucom.2016.08.026},
  url = {http://dx.doi.org/10.1016/j.neucom.2016.08.026},
  researchr = {https://researchr.org/publication/VluymansTCS16},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {216},
  pages = {596-610},
}