4 papers
Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering
Ãngel González-Prieto, Abraham Gutiérrez, Fernando Ortega +1
Reliability measures associated with the prediction of the machine learning models are critical to strengthening user confidence in artificial intelligence. Therefore, those models…
Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models
Fernando Ortega, Raúl Lara-Cabrera, Jorge Dueñas-LerÃn +3
Mental health has become a global priority, leading to a massive administrative burden in the coding of clinical diagnoses. This study proposes the automation of psychiatric diagno…
Efficient n-body simulations using physics informed graph neural networks
VÃctor Ramos-Osuna, Alberto DÃaz-Ãlvarez, Raúl Lara-Cabrera
This paper presents a novel approach for accelerating n-body simulations by integrating a physics-informed graph neural networks (GNN) with traditional numerical methods. Our metho…
Statistical Analysis of Risk Assessment Factors and Metrics to Evaluate Radicalisation in Twitter
Raul Lara-Cabrera, Antonio Gonzalez-Pardo, David Camacho
Nowadays, Social Networks have become an essential communication tools producing a large amount of information about their users and their interactions, which can be analysed with…