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cs.LG2026
A Generalised Exponentiated Gradient Approach to Enhance Fairness in Binary and Multi-class Classification Tasks
Maryam Boubekraoui, Giordano d'Aloisio, Antinisca Di Marco
The widespread use of AI and ML models in sensitive areas raises significant concerns about fairness. While the research community has introduced various methods for bias mitigatio…
cs.LG2023
Towards a Prediction of Machine Learning Training Time to Support Continuous Learning Systems Development
Francesca Marzi, Giordano d'Aloisio, Antinisca Di Marco +1
The problem of predicting the training time of machine learning (ML) models has become extremely relevant in the scientific community. Being able to predict a priori the training t…