ListarLaboratorio de Investigación e Desenvolvemento en Intelixencia Artificial (LIDIA) por tema "Dyadic data"

Mostrando ítems 1-2 de 2

    • A scalable decision-tree-based method to explain interactions in dyadic data 

      Eiras-Franco, Carlos; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo; Bahamonde, Antonio (Elsevier, 2019-12)
      [Abstract]: Gaining relevant insight from a dyadic dataset, which describes interactions between two entities, is an open problem that has sparked the interest of researchers and industry data scientists alike. However, ...

    • 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 ...