Fanny Jourdan

Publication Activity (10 Years)

Years Active: 2023-2023
Publications (10 Years): 8

Top Topics

Error Correcting Output Codes

Machine Learning

Multinomial Logistic Regression

Top Venues

Publications

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) (2023)
Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
Are fairness metric scores enough to assess discrimination biases in machine learning? CoRR (2023)
Fanny Jourdan, Agustin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. ACL (Findings) (2023)
Fanny Jourdan, Louis Béthune, Agustin Picard, Laurent Risser, Nicholas Asher
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. CoRR (2023)
Fanny Jourdan, Agustin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. CoRR (2023)
Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? EWAF (2023)
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? CoRR (2023)
Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser
Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? EWAF (2023)