collaborators

7 papers

cs.LG2026

Robust gene prioritization for Dietary Restriction via Fast-mRMR Feature Selection techniques

Rubén Fernández-Farelo, Jorge Paz-Ruza, Bertha Guijarro-Berdiñas +2

Gene prioritization (identifying genes potentially associated with a biological process) is increasingly tackled with Artificial Intelligence. However, existing methods struggle wi…

cs.LG2026

A robust methodology for long-term sustainability evaluation of Machine Learning models

Jorge Paz-Ruza, João Gama, Amparo Alonso-Betanzos +1

Sustainability and efficiency have become essential considerations in the development and deployment of Artificial Intelligence systems, but existing regulatory practices for Green…

cs.LG2025

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models

Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas +2

Dyadic regression models, which output real-valued predictions for pairs of entities, are fundamental in many domains (e.g. obtaining user-product ratings in Recommender Systems) a…

cs.CL2025

Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning

Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas +1

In health-related topics, user toxicity in online discussions frequently becomes a source of social conflict or promotion of dangerous, unscientific behaviour; common approaches fo…

cs.LG2025

Sustainable techniques to improve Data Quality for training image-based explanatory models for Recommender Systems

Jorge Paz-Ruza, David Esteban-Martínez, Amparo Alonso-Betanzos +1

Visual explanations based on user-uploaded images are an effective and self-contained approach to provide transparency to Recommender Systems (RS), but intrinsic limitations of dat…

cs.LG2025

Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes

Jorge Paz-Ruza, Alex A. Freitas, Amparo Alonso-Betanzos +1

Dietary Restriction (DR) is one of the most popular anti-ageing interventions; recently, Machine Learning (ML) has been explored to identify potential DR-related genes among ageing…