5 papers
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…
Comparing Data Assimilation and Likelihood-Based Inference on Latent State Estimation in Agent-Based Models
Blas Kolic, Corrado Monti, Gianmarco De Francisci Morales +1
In this paper, we present the first systematic comparison of Data Assimilation (DA) and Likelihood-Based Inference (LBI) in the context of an Agent-Based Model (ABM). These models…
Trade-offs Between Individual and Group Fairness in Machine Learning: A Comprehensive Review
Sandra BenÃtez-Peña, Blas Kolic, Victoria Menendez +1
Algorithmic fairness has become a central concern in computational decision-making systems, where ensuring equitable outcomes is essential for both ethical and legal reasons. Two d…
Celebrity messages reduce online hate and limit its spread
Eaman Jahani, Blas Kolic, Manuel Tonneau +5
Online hate spreads rapidly, yet little is known about whether preventive and scalable strategies can curb it. We conducted the largest randomized controlled trial of hate speech p…
Incentivized Network Dynamics in Digital Job Recruitment
Blas Kolic, Manuel Cebrian, Iñaki Ucar +1
Recruiting passive candidates, i.e., individuals not actively seeking jobs but open to compelling opportunities, remains one of the hardest challenges in digital recruitment. Motiv…