EBSMOTE: Evaluation-Based Synthetic Minority Oversampling TEchnique for Imbalanced Dataset Learning

Ahmed Saad Hussein, Bassoma Diallo, Jia Liu. EBSMOTE: Evaluation-Based Synthetic Minority Oversampling TEchnique for Imbalanced Dataset Learning. In Li Zou, Lingling Fang, Bo Fu, Panpan Niu, editors, 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, Dalian, China, November 14-16, 2019. pages 1226-1233, IEEE, 2019. [doi]

@inproceedings{HusseinDL19,
  title = {EBSMOTE: Evaluation-Based Synthetic Minority Oversampling TEchnique for Imbalanced Dataset Learning},
  author = {Ahmed Saad Hussein and Bassoma Diallo and Jia Liu},
  year = {2019},
  doi = {10.1109/ISKE47853.2019.9170367},
  url = {https://doi.org/10.1109/ISKE47853.2019.9170367},
  researchr = {https://researchr.org/publication/HusseinDL19},
  cites = {0},
  citedby = {0},
  pages = {1226-1233},
  booktitle = {14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, Dalian, China, November 14-16, 2019},
  editor = {Li Zou and Lingling Fang and Bo Fu and Panpan Niu},
  publisher = {IEEE},
  isbn = {978-1-7281-2348-6},
}