A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets

Saeed Piri, Dursun Delen, Tieming Liu. A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets. Decision Support Systems, 106:15-29, 2018. [doi]

@article{PiriDL18,
  title = {A synthetic informative minority over-sampling (SIMO) algorithm leveraging support vector machine to enhance learning from imbalanced datasets},
  author = {Saeed Piri and Dursun Delen and Tieming Liu},
  year = {2018},
  doi = {10.1016/j.dss.2017.11.006},
  url = {https://doi.org/10.1016/j.dss.2017.11.006},
  researchr = {https://researchr.org/publication/PiriDL18},
  cites = {0},
  citedby = {0},
  journal = {Decision Support Systems},
  volume = {106},
  pages = {15-29},
}