Publicaciones en las que colabora con Rafael Cabañas de Paz (14)

2021

  1. Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models

    International Journal of Intelligent Systems, Vol. 36, Núm. 11, pp. 6913-6943

2018

  1. A linear programming based approach for evaluating interval-valued influence diagrams

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  2. Virtual subconcept drift detection in discrete data using probabilistic graphical models

    Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III

  3. Virtual subconcept drift detection in discrete data using probabilistic graphical models

    Communications in Computer and Information Science

2017

  1. Evaluating interval-valued influence diagrams

    International Journal of Approximate Reasoning, Vol. 80, pp. 393-411

2016

  1. Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams

    International Journal of Approximate Reasoning, Vol. 70, pp. 13-35

  2. Using binary trees for the evaluation of influence diagrams

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 24, Núm. 1, pp. 59-89

2015

  1. Variable elimination for interval-valued influence diagrams

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. On SPI for Evaluating Influence Diagrams

    Communications in Computer and Information Science

  2. On SPI-Lazy evaluation of influence diagrams

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8754, pp. 97-112

2013

  1. Approximate lazy evaluation of influence diagrams

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Evaluating asymmetric decision problems with binary constraint trees

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Heuristics for determining the elimination ordering in the influence diagram evaluation with binary trees

    Frontiers in Artificial Intelligence and Applications

2012

  1. Approximate inference in influence diagrams using binary trees

    Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012