Publicaciones en las que colabora con Andrés Ramón Masegosa Arredondo (17)

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

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

2012

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

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

  2. 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

2010

  1. An ensemble method using credal decision trees

    European Journal of Operational Research, Vol. 205, Núm. 1, pp. 218-226

  2. Bagging decision trees on data sets with classification noise

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

2009

  1. A filter-wrapper method to select variables for the naive bayes classifier based on credal decision trees

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 17, Núm. 6, pp. 833-854

  2. An experimental study about simple decision trees for bagging ensemble on datasets with classification noise

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

2008

  1. Requirements for total uncertainty measures in Dempster-Shafer theory of evidence

    International Journal of General Systems, Vol. 37, Núm. 6, pp. 733-747

2007

  1. A semi-naive bayes classifier with grouping of cases

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

  2. Combining decision trees based on imprecise probabilities and uncertainty measures

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

  3. Split criterions for variable selection using decision trees

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

2006

  1. Varying parameter in classification based on imprecise probabilities

    Advances in Soft Computing, Vol. 37, pp. 231-239

2005

  1. Methods to determine the branching attribute in Bayesian multinets classifiers

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

  2. Selective gaussian naïve bayes model for Diffuse Large-B-Cell Lymphoma classification: Some improvements in preprocessing and variable elimination

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