How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations

Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser. How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations. Algorithms, 16(3):174, March 2023. [doi]

@article{JourdanKALR23,
  title = {How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations},
  author = {Fanny Jourdan and Titon Tshiongo Kaninku and Nicholas Asher and Jean-Michel Loubes and Laurent Risser},
  year = {2023},
  month = {March},
  doi = {10.3390/a16030174},
  url = {https://doi.org/10.3390/a16030174},
  researchr = {https://researchr.org/publication/JourdanKALR23},
  cites = {0},
  citedby = {0},
  journal = {Algorithms},
  volume = {16},
  number = {3},
  pages = {174},
}