Showing stat.MLShow all
3 papers · 1 filter
stat.ML2026
Geometrical fairness in graph neural networks
Arturo Pérez-Peralta, Sandra BenÃtez-Peña, Blas Kolic +1
Graph-based learning methods have become increasingly prominent due to their strong performance across diverse applications. Among these, recent frameworks grounded in diffusion pr…
stat.ML2026
On the use of graph models to achieve individual and group fairness
Arturo Pérez-Peralta, Sandra BenÃtez-Peña, Rosa E. Lillo
Machine Learning algorithms are ubiquitous in key decision-making contexts such as justice, healthcare and finance, which has spawned a great demand for fairness in these procedure…
stat.ML2025
The more the merrier: logical and multistage processors in credit scoring
Arturo Pérez-Peralta, Sandra BenÃtez-Peña, Rosa E. Lillo
Machine Learning algorithms are ubiquitous in key decision-making contexts such as organizational justice or healthcare, which has spawned a great demand for fairness in these proc…