61 citations · 518 across the 94 of their papers we have counts for
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CrimeNER Demo: Named-Entity Recognition in the Crime Domain
Miguel Lopez-Duran, Julian Fierrez, Aythami Morales +7
We present CrimeNER Demo, an AI-powered platform that enables us to extract general crime-related information from documents and classify them into entity types with two levels of…
Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
Alejandro Peña, Julian Fierrez, Aythami Morales +3
The use of language technologies in high-stake settings is increasing in recent years, mostly motivated by the success of Large Language Models (LLMs). However, despite the great p…
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…
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
Alfonso Ortega, Julian Fierrez, Aythami Morales +2
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these d…