Andrés Ramón
Masegosa Arredondo
Publicaciones en las que colabora con Andrés Ramón Masegosa Arredondo (17)
2018
-
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
-
Classification
Introduction to Imprecise Probabilities (wiley), pp. 230-257
-
Classification with decision trees from a nonparametric predictive inference perspective
Computational Statistics and Data Analysis, Vol. 71, pp. 789-802
2012
-
Bagging schemes on the presence of class noise in classification
Expert Systems with Applications, Vol. 39, Núm. 8, pp. 6827-6837
-
Imprecise classification with credal decision trees
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. 5, pp. 763-787
2011
-
A memory efficient semi-Naive Bayes classifier with grouping of cases
Intelligent Data Analysis, Vol. 15, Núm. 3, pp. 299-318
2010
-
An ensemble method using credal decision trees
European Journal of Operational Research, Vol. 205, Núm. 1, pp. 218-226
-
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
-
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
-
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
-
Requirements for total uncertainty measures in Dempster-Shafer theory of evidence
International Journal of General Systems, Vol. 37, Núm. 6, pp. 733-747
2007
-
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)
-
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)
-
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
-
Varying parameter in classification based on imprecise probabilities
Advances in Soft Computing, Vol. 37, pp. 231-239
2005
-
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)
-
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)