All Stories

  1. Optimizing Reachability in Graph-Based Recommender Systems

    Article • ACM Transactions on Intelligent Systems and Technology, August 2025, ACM (Association for Computing Machinery)

    Federico Cinus, Jordi Vitrià

  2. Solving the Contextual Pure Cold-Start Problem under Uncertainty

    Article • ACM Transactions on Recommender Systems, April 2025, ACM (Association for Computing Machinery)

    Jordi Vitrià

  3. Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach

    Article • ACM Transactions on Intelligent Systems and Technology, July 2024, ACM (Association for Computing Machinery)

    Santi segui, Jordi Vitrià

  4. How to measure uncertainty in deep learning classifiers.

    Article • ACM Computing Surveys, December 2022, ACM (Association for Computing Machinery)

    Jordi Vitrià

  5. Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability

    Article • January 2020, ACM (Association for Computing Machinery)

    Jordi Vitrià