54 citations · 132 across the 14 of their papers we have counts for
15 papers
Unraveling Machine Behavior by Multi-Level Bias Analysis and Detection: Methodology and Application to Computer Vision
Ignacio Serna, Aythami Morales, Julian Fierrez
This study investigates the presence and propagation of bias within Neural Networks through a comprehensive multi-level analysis spanning the learned latent space, layer activation…
Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs
Alejandro Peña, Aythami Morales, Julian Fierrez +5
The analysis of public affairs documents is crucial for citizens as it promotes transparency, accountability, and informed decision-making. It allows citizens to understand governm…
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Daniel DeAlcala, Ignacio Serna, Aythami Morales +2
The new regulatory framework proposal on Artificial Intelligence (AI) published by the European Commission establishes a new risk-based legal approach. The proposal highlights the…
OTB-morph: One-Time Biometrics via Morphing
Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez +2
Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order…
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales +5
The presence of decision-making algorithms in society is rapidly increasing nowadays, while concerns about their transparency and the possibility of these algorithms becoming new s…
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
Javier Hernandez-Ortega, Julian Fierrez, Ignacio Serna +1
In this paper we develop FaceQgen, a No-Reference Quality Assessment approach for face images based on a Generative Adversarial Network that generates a scalar quality measure rela…