Publicaciones en las que colabora con Andrés Ramón Masegosa Arredondo (38)

2018

  1. 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

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

    Communications in Computer and Information Science

2015

  1. Discretization of expression quantitative trait loci in association analysis between genotypes and expression data

    Current Bioinformatics, Vol. 10, Núm. 2, pp. 144-164

2014

  1. Classification

    Introduction to Imprecise Probabilities (wiley), pp. 230-257

  2. Classification with decision trees from a nonparametric predictive inference perspective

    Computational Statistics and Data Analysis, Vol. 71, pp. 789-802

  3. Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks

    International Journal of Approximate Reasoning, Vol. 55, Núm. 7, pp. 1548-1569

  4. Rejoinder on "imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks"

    International Journal of Approximate Reasoning

2013

  1. A new framework for learning generalized credal networks

    ISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications

  2. An interactive approach for Bayesian network learning using domain/expert knowledge

    International Journal of Approximate Reasoning, Vol. 54, Núm. 8, pp. 1168-1181

  3. Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks

    International Journal of Approximate Reasoning

  4. New skeleton-based approaches for Bayesian structure learning of Bayesian networks

    Applied Soft Computing Journal, Vol. 13, Núm. 2, pp. 1110-1120

2012

  1. A Bayesian stochastic search method for discovering Markov boundaries

    Knowledge-Based Systems, Vol. 35, pp. 211-223

  2. An interactive approach for cleaning noisy observations in Bayesian networks with the help of an expert

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

  3. Bagging schemes on the presence of class noise in classification

    Expert Systems with Applications, Vol. 39, Núm. 8, pp. 6827-6837

  4. Haplotype-based classifiers to predict individual susceptibility to complex diseases: An example for multiple sclerosis

    BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms

  5. Imprecise classification with credal decision trees

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. 5, pp. 763-787

2011

  1. A memory efficient semi-Naive Bayes classifier with grouping of cases

    Intelligent Data Analysis, Vol. 15, Núm. 3, pp. 299-318

  2. A method for integrating expert knowledge when learning bayesian networks from data

    IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 41, Núm. 5, pp. 1382-1394

  3. Comparing binary and standard probability trees in credal networks inference

    ISIPTA 2011 - Proceedings of the 7th International Symposium on Imprecise Probability: Theories and Applications

  4. Learning with Bayesian networks and probability trees to approximate a joint distribution

    International Conference on Intelligent Systems Design and Applications, ISDA