Now showing items 1-6 of 6

    • Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends 

      Górriz, Juan M.; Álvarez-Illán, I.; Álvarez-Marquina, Agustín; Arco, Juan Eloy; Atzmueller, Martin; Ballarini, F.; Barakova, Emilia; Bologna, Guido; Duro, Richard J. Richard J. xxx; Santos Reyes, José (Elsevier, 2023-12)
      [Abstract]: Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear ...
    • Multiperiod Bankruptcy Prediction Models with Interpretable Single Models 

      Beade, Angel; Rodríguez López, Manuel; Santos Reyes, José (Springer, 2023)
      [Abstract]: This study considers multiperiod bankruptcy prediction models, an aspect scarcely considered in research despite its importance, since creditors must assess the risk of loans over the entire life of the debt ...
    • Personalization in Recommender Systems through Explainable Machine Learning 

      Paz Ruza, Jorge (2021)
      [Abstract]: Recommender Systems have become ubiquitously utilized tools in multiple fields such as media streaming services, travelling and tourism business, e-commerce, and numerous others. However, in practice they ...
    • 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 ...
    • Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images 

      Vidal, Plácido; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos; Cardoso, Jaime S. (Institute of Electrical and Electronics Engineers, 2023)
      [Abstract]: Optical Coherence Tomography (OCT) is the major diagnostic tool for the leading cause of blindness in developed countries: Diabetic Macular Edema (DME). Depending on the type of fluid accumulations, different ...