MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

Francisco Charte, Antonio J. Rivera, María José del Jesús, Francisco Herrera. MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowl.-Based Syst., 89:385-397, 2015. [doi]

@article{CharteRJH15-2,
  title = {MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation},
  author = {Francisco Charte and Antonio J. Rivera and María José del Jesús and Francisco Herrera},
  year = {2015},
  doi = {10.1016/j.knosys.2015.07.019},
  url = {http://dx.doi.org/10.1016/j.knosys.2015.07.019},
  researchr = {https://researchr.org/publication/CharteRJH15-2},
  cites = {0},
  citedby = {0},
  journal = {Knowl.-Based Syst.},
  volume = {89},
  pages = {385-397},
}