ListarLaboratorio de Investigación e Desenvolvemento en Intelixencia Artificial (LIDIA) por tema "Explainable Artificial Intelligence"

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    • Sustainable personalisation and explainability in Dyadic Data Systems 

      Paz Ruza, Jorge; Eiras-Franco, Carlos; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo (2022)
      [Abstract]: Systems that rely on dyadic data, which relate entities of two types together, have become ubiquitously used in fields such as media services, tourism business, e-commerce, and others. However, these systems ...

    • Sustainable transparency on recommender systems: Bayesian ranking of images for explainability 

      Paz Ruza, Jorge; Alonso-Betanzos, Amparo; Guijarro-Berdiñas, Bertha; Cancela, Brais; Eiras-Franco, Carlos (Elsevier B.V., 2024-11)
      [Abstract]: Recommender Systems have become crucial in the modern world, commonly guiding users towards relevant content or products, and having a large influence over the decisions of users and citizens. However, ensuring ...