EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning

Lusi Li, Haibo He, Jie Li, Weijun Li. EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning. In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018. pages 1-8, IEEE, 2018. [doi]

@inproceedings{LiHLL18-0,
  title = {EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning},
  author = {Lusi Li and Haibo He and Jie Li and Weijun Li},
  year = {2018},
  doi = {10.1109/IJCNN.2018.8489729},
  url = {https://doi.org/10.1109/IJCNN.2018.8489729},
  researchr = {https://researchr.org/publication/LiHLL18-0},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018},
  publisher = {IEEE},
  isbn = {978-1-5090-6014-6},
}