Subgroup-Robustness
Adversarial Robustness of Variational Autoencoders across Intersectional Subgroups.
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Adversarial Robustness of Variational Autoencoders across Intersectional Subgroups.
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study.
This tutorial series offers a hands-on guide to fairness-aware machine learning that targets beginners in Fair-ML.
An investigation into the fairness and bias implications of multimodal fusion techniques in AI-driven recruitment systems using the FairCVdb dataset, examining how different fusion strategies influence bias and impact fairness in hiring decisions.
EnvClus* is an unsupervised data-driven framework that forecasts the most probable realistic and smooth trajectory from a given query position of a vessel (entire route or underway forecasting) towards its destination port.