Andres R. Masegosa

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	All	Since 2016
Citations	719	450
h-index	15	12
i10-index	21	16

120

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Serafín MoralDept. Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Thomas Dyhre NielsenAalborg UniversityVerified email at cs.aau.dk
Helge LangsethNorwegian University of Science and TechnologyVerified email at ntnu.no
Antonio SalmerónUniversity of Almería, SpainVerified email at ual.es
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityVerified email at hugin.com
Joaquín AbellánProfesor del departamento de Ciencias de la Computación e Inteligencia Artificial (UGR)Verified email at decsai.ugr.es
Ana M. MartínezLarge-Scale Data Specialist, VestasVerified email at vestas.com
Darío Ramos-LópezAssistant Professor, Department of Applied Mathematics, Rey Juan Carlos University, Madrid (Spain)Verified email at ual.es
Andrés CanoDepartment of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Hanen BorchaniSimCorp A/SVerified email at simcorp.com
Rafael CabañasIDSIA - Istituto Dalle Molle di studi sull'Intelligenza ArtificialeVerified email at idsia.ch
Antonio FernándezData Scientist in Banking (Cajamar) y Profesor Sustituto Interino (Universidad de Almería)Verified email at bcc.es
Manuel Gómez-Olmedo (mgomez at d...Department of Computer Science and Artificial Intelligence, Universidad de GranadaVerified email at decsai.ugr.es
Javier García CastellanoDepartment of Computer Science and Artificial Intelligence at University of GranadaVerified email at decsai.ugr.es
Frank CoolenProfessor of Statistics, Durham UniversityVerified email at durham.ac.uk
Linda C. van der GaagSenior researcher, Dalle Molle Institute for Artificial Intelligence Research, Lugano, SwitzerlandVerified email at idsia.ch
Ad Feeldersuniversitair docent informatica, Universiteit UtrechtVerified email at uu.nl
Hideo JohoFaculty of Library, Information and Media Science, University of TsukubaVerified email at slis.tsukuba.ac.jp
Joemon JoseProfessor of Computer Science, University of GlasgowVerified email at glasgow.ac.uk
Rafael RumíAssociate Professor, University of AlmeríaVerified email at ual.es

Andres R. Masegosa

University of Almeria

Verified email at ual.es - Homepage

Machine Learning Probabilistic Programming Bayesian Deep Learning Variational Inference


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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	69	2008
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	60	2011
Bagging schemes on the presence of class noise in classification J Abellán, AR Masegosa Expert Systems with Applications 39 (8), 6827-6837, 2012	55	2012
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	50	2013
An ensemble method using credal decision trees J Abellan, AR Masegosa European journal of operational research 205 (1), 218-226, 2010	44	2010
Bagging decision trees on data sets with classification noise J Abellán, AR Masegosa International Symposium on Foundations of Information and Knowledge Systems …, 2010	40	2010
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	25	2009
New skeleton-based approaches for Bayesian structure learning of Bayesian networks AR Masegosa, S Moral Applied Soft Computing 13 (2), 1110-1120, 2013	24	2013
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	23	2014
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	20	2016
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	20	2015
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	18	2009
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	16	2019
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	16	2017
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	16	2017
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	15	2014
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	13	2017
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	12	2016
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	12	2015
InferPy: Probabilistic modeling with Tensorflow made easy R Cabañas, A Salmerón, AR Masegosa Knowledge-Based Systems 168, 25-27, 2019	11	2019

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