Publications dans lesquelles il/elle collabore avec LUIS MIGUEL CAMPOS IBÁÑEZ (16)

2016

  1. Improving automatic classifiers through interaction

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

2014

  1. Approximations of causal networks by polytrees: An empirical study

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 945, pp. 149-158

2013

  1. Score-based methods for learning Markov boundaries by searching in constrained spaces

    Data Mining and Knowledge Discovery, Vol. 26, Núm. 1, pp. 174-212

2012

  1. Evaluation methods and strategies for the interactive use of classifiers

    International Journal of Human Computer Studies, Vol. 70, Núm. 5, pp. 321-331

2011

  1. Minimum redundancy maximum relevancy versus score-based methods for learning Markov boundaries

    International Conference on Intelligent Systems Design and Applications, ISDA

2005

  1. Learning Bayesian network classifiers: Searching in a space of partially directed acyclic graphs

    Machine Learning, Vol. 59, Núm. 3, pp. 213-235

2004

  1. A comparison of learning algorithms for Bayesian networks: A case study based on data from an emergency medical service

    Artificial Intelligence in Medicine, Vol. 30, Núm. 3, pp. 215-232

2003

  1. An information retrieval model based on simple Bayesian networks

    International Journal of Intelligent Systems, Vol. 18, Núm. 2, pp. 251-265

  2. Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs

    Journal of Artificial Intelligence Research, Vol. 18, pp. 445-490

2001

  1. A hybrid methodology for learning belief networks: BENEDICT

    International Journal of Approximate Reasoning, Vol. 27, Núm. 3, pp. 235-262

  2. Estimating probability values from an incomplete dataset

    International Journal of Approximate Reasoning, Vol. 27, Núm. 2, pp. 183-204

  3. The search of causal orderings: A short cut for learning belief networks

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  4. Using bayesian networks to model emergency medical services

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

2000

  1. Learning right sized belief networks by means of a hybrid methodology

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

1996

  1. BENEDICT: An Algorithm for Learning Probabilistic Belief Networks

    Sixth International Conference IPMU : Information Processing and Management of Uncertainty in Knowledge-Based Systems: Proceedings, july 1-5, Granada, España

1991

  1. Learning with CASTLE

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