Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets

Yusuf Arslan, Kevin Allix, Clément Lefebvre, Andrey Boytsov, Tegawendé F. Bissyandé, Jacques Klein. Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 1449-1454, IEEE, 2022. [doi]

@inproceedings{ArslanALBBK22,
  title = {Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets},
  author = {Yusuf Arslan and Kevin Allix and Clément Lefebvre and Andrey Boytsov and Tegawendé F. Bissyandé and Jacques Klein},
  year = {2022},
  doi = {10.1109/ICMLA55696.2022.00228},
  url = {https://doi.org/10.1109/ICMLA55696.2022.00228},
  researchr = {https://researchr.org/publication/ArslanALBBK22},
  cites = {0},
  citedby = {0},
  pages = {1449-1454},
  booktitle = {21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022},
  editor = {M. Arif Wani and Mehmed M. Kantardzic and Vasile Palade and Daniel Neagu and Longzhi Yang and Kit Yan Chan},
  publisher = {IEEE},
  isbn = {978-1-6654-6283-9},
}