works on
fairness in AI 1gradient boosting 1in-processing methods 1optimal transport 1tabular data 1

From the 1 of 7 linked papers with an AI index.

most citedDo we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants

4 citations · 4 across the 5 of their papers we have counts for

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cs.CV2026

Discovering Geometric Biases in 3D Face Reconstruction: A Curvature-Aware Spectral Framework for Fairness Evaluation

Veronika Shilova, Emmanuel Malherbe, Giovanni Palma +3

3D Morphable Models (3DMMs) remain the standard parametric shape priors for many state-of-the-art 3D face reconstruction algorithms. However, as these models are derived from a fin…

cs.CV2025

Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone

Veronika Shilova, Emmanuel Malherbe, Giovanni Palma +2

Within a legal framework, fairness in datasets and models is typically assessed by dividing observations into predefined groups and then computing fairness measures (e.g., Disparat…