A Comparative Study of Machine Learning Algorithms for Anomaly Detection in Industrial Environments: Performance and Environmental Impact. - Álvaro Huertas-García; Carlos Martí-González; Rubén García Maezo; Alejandro Echeverría Rey (CoRR, 2023)

Small Language Models and Large Language Models in Oppositional thinking analysis: Capabilities, Biases and Challenges. - Álvaro Huertas-García; Carlos Martí-González; Javier Muñoz; Enrique De Miguel Ambite (CLEF (Working Notes), 2024)

Uncertainty Quantification for Transformer Models for Dark-Pattern Detection. - Javier Muñoz; Álvaro Huertas-García; Carlos Martí-González; Enrique De Miguel Ambite (CoRR, 2024)