Entropy and improved k-nearest neighbor search based under-sampling (ENU) method to handle class overlap in imbalanced datasets

Anil Kumar, Dinesh Singh, Rama Shankar Yadav. Entropy and improved k-nearest neighbor search based under-sampling (ENU) method to handle class overlap in imbalanced datasets. Concurrency - Practice and Experience, 36(2), 2024. [doi]

@article{KumarSY24,
  title = {Entropy and improved k-nearest neighbor search based under-sampling (ENU) method to handle class overlap in imbalanced datasets},
  author = {Anil Kumar and Dinesh Singh and Rama Shankar Yadav},
  year = {2024},
  doi = {10.1002/cpe.7894},
  url = {https://doi.org/10.1002/cpe.7894},
  researchr = {https://researchr.org/publication/KumarSY24},
  cites = {0},
  citedby = {0},
  journal = {Concurrency - Practice and Experience},
  volume = {36},
  number = {2},
}