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
602008
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
562011
Bagging schemes on the presence of class noise in classification
J Abellán, AR Masegosa
Expert Systems with Applications 39 (8), 6827-6837, 2012
522012
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
462013
An ensemble method using credal decision trees
J Abellan, AR Masegosa
European journal of operational research 205 (1), 218-226, 2010
392010
Bagging decision trees on data sets with classification noise
J Abellán, AR Masegosa
International Symposium on Foundations of Information and Knowledge Systems …, 2010
382010
New skeleton-based approaches for Bayesian structure learning of Bayesian networks
AR Masegosa, S Moral
Applied Soft Computing 13 (2), 1110-1120, 2013
242013
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
242009
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
212014
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
192015
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
182016
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
182009
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
152017
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
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
132016
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
132015
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
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
112013
Imprecise classification with credal decision trees
J Abellan, AR Masegosa
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2012
112012
Amidst: a Java toolbox for scalable probabilistic machine learning
AR Masegosa, AM Martínez, D Ramos-López, R Cabañas, A Salmerón, ...
arXiv preprint arXiv:1704.01427, 2017
92017
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Articles 1–20