Andres R. Masegosa
Title
Cited by
Cited by
Year
Requirements for total uncertainty measures in Dempster–Shafer theory of evidence
J Abellán, A Masegosa
International journal of general systems 37 (6), 733-747, 2008
772008
A method for integrating expert knowledge when learning Bayesian networks from data
A Cano, AR Masegosa, S Moral
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011
632011
Bagging schemes on the presence of class noise in classification
J Abellan, AR Masegosa
Expert Systems with Applications 39 (8), 6827-6837, 2012
582012
An interactive approach for Bayesian network learning using domain/expert knowledge
AR Masegosa, S Moral
International Journal of Approximate Reasoning 54 (8), 1168-1181, 2013
572013
An ensemble method using credal decision trees
J Abellan, AR Masegosa
European journal of operational research 205 (1), 218-226, 2010
462010
Bagging decision trees on data sets with classification noise
J Abellán, AR Masegosa
International Symposium on Foundations of Information and Knowledge Systems …, 2010
432010
Classification with decision trees from a nonparametric predictive inference perspective
J Abellán, RM Baker, F Coolen, RJ Crossman, AR Masegosa
Computational Statistics & Data Analysis 71, 789-802, 2014
272014
An experimental study about simple decision trees for bagging ensemble on datasets with classification noise
J Abellán, AR Masegosa
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009
272009
Learning from incomplete data in Bayesian networks with qualitative influences
AR Masegosa, AJ Feelders, LC van der Gaag
International Journal of Approximate Reasoning 69, 18-34, 2016
232016
Modeling concept drift: A probabilistic graphical model based approach
H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ...
International Symposium on Intelligent Data Analysis, 72-83, 2015
232015
New skeleton-based approaches for Bayesian structure learning of Bayesian networks
AR Masegosa, S Moral
Applied Soft Computing 13 (2), 1110-1120, 2013
232013
AMIDST: A Java toolbox for scalable probabilistic machine learning
AR Masegosa, AM Martínez, D Ramos-López, R Cabañas, A Salmerón, ...
Knowledge-Based Systems 163, 595-597, 2019
192019
Probabilistic Graphical Models on Multi-Core CPUs Using Java 8
AR Masegosa, AM Martinez, H Borchani
IEEE Computational Intelligence Magazine 11 (2), 41-54, 2016
172016
Bayesian models of data streams with hierarchical power priors
A Masegosa, TD Nielsen, H Langseth, D Ramos-López, A Salmerón, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
162017
A filter-wrapper method to select variables for the naive bayes classifier based on credal decision trees
J ABELLÁN, AR Masegosa, M Gómez
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2009
162009
Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks
AR Masegosa, S Moral
International Journal of Approximate Reasoning 55 (7), 1548-1569, 2014
152014
Imprecise classification with credal decision trees
J Abellan, AR Masegosa
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2012
142012
Scaling up Bayesian variational inference using distributed computing clusters
AR Masegosa, AM Martinez, H Langseth, TD Nielsen, A Salmerón, ...
International Journal of Approximate Reasoning 88, 435-451, 2017
122017
Parallel importance sampling in conditional linear Gaussian networks
A Salmerón, D Ramos-López, H Borchani, AM Martínez, AR Masegosa, ...
Advances in Artificial Intelligence, 36-46, 2015
122015
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
A Cano, M Gómez-Olmedo, AR Masegosa, S Moral
International Journal of Approximate Reasoning 54 (4), 526-540, 2013
122013
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Articles 1–20