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"How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural ..."

Fanny Jourdan et al. (2023)

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DOI: 10.3390/A16030174

access: open

type: Journal Article

metadata version: 2023-04-16

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  dblp key:
  - journals/algorithms/JourdanKALR23
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  - https://dblp.org/rec/journals/algorithms/JourdanKALR23
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 (2023)

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