Andres R. Masegosa - Citas de Google Académico

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Serafín MoralDept. Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Joaquín AbellánProfesor del departamento de Ciencias de la Computación e Inteligencia Artificial (UGR)Dirección de correo verificada de decsai.ugr.es
Helge LangsethNorwegian University of Science and TechnologyDirección de correo verificada de ntnu.no
Thomas Dyhre NielsenAalborg UniversityDirección de correo verificada de cs.aau.dk
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityDirección de correo verificada de hugin.com
Antonio SalmerónUniversity of Almería, SpainDirección de correo verificada de ual.es
Ana M. MartínezLarge-Scale Data Specialist, VestasDirección de correo verificada de vestas.com
Andrés CanoDepartment of Computer Science and Artificial Intelligence, University of GranadaDirección de correo verificada de decsai.ugr.es
Darío Ramos-LópezAssistant Professor, Department of Applied Mathematics, Rey Juan Carlos University, Madrid (Spain)Dirección de correo verificada de ual.es
Hanen BorchaniSimCorp A/SDirección de correo verificada de simcorp.com
Antonio FernándezSenior Data Scientist in Banking (BCC - Grupo Cajamar)Dirección de correo verificada de bcc.es
Rafael CabañasIDSIA - Istituto Dalle Molle di studi sull'Intelligenza ArtificialeDirección de correo verificada de idsia.ch
Manuel Gómez-Olmedo (mgomez at d...Department of Computer Science and Artificial Intelligence, Universidad de GranadaDirección de correo verificada de decsai.ugr.es
Javier García CastellanoDepartment of Computer Science and Artificial Intelligence at University of GranadaDirección de correo verificada de decsai.ugr.es
Hideo JohoFaculty of Library, Information and Media Science, University of TsukubaDirección de correo verificada de slis.tsukuba.ac.jp
Joemon JoseProfessor of Computer Science, University of GlasgowDirección de correo verificada de glasgow.ac.uk
Frank CoolenProfessor of Statistics, Durham UniversityDirección de correo verificada de durham.ac.uk
Linda C. van der GaagSenior researcher, Dalle Molle Institute for Artificial Intelligence Research, Lugano, SwitzerlandDirección de correo verificada de idsia.ch
Ad Feeldersuniversitair docent informatica, Universiteit UtrechtDirección de correo verificada de uu.nl
Rafael RumíAssociate Professor, University of AlmeríaDirección de correo verificada de ual.es

Andres R. Masegosa

University of Almeria

Dirección de correo verificada de ual.es - Página principal

Machine Learning Probabilistic Programming Deep Probabilistic Modelling Variational Inference


Título	Citado por	Año
Requirements for total uncertainty measures in Dempster–Shafer theory of evidence J Abellan, A Masegosa International journal of general systems 37 (6), 733-747, 2008	55	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	51	2011
Bagging schemes on the presence of class noise in classification J Abellán, AR Masegosa Expert Systems with Applications 39 (8), 6827-6837, 2012	48	2012
An ensemble method using credal decision trees J Abellan, AR Masegosa European journal of operational research 205 (1), 218-226, 2010	36	2010
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	34	2013
Bagging decision trees on data sets with classification noise J Abellán, AR Masegosa International Symposium on Foundations of Information and Knowledge Systems …, 2010	28	2010
New skeleton-based approaches for Bayesian structure learning of Bayesian networks AR Masegosa, S Moral Applied Soft Computing 13 (2), 1110-1120, 2013	26	2013
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	22	2009
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	17	2014
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	17	2009
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	16	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	14	2015
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	13	2014
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	13	2013
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
Imprecise classification with credal decision trees J Abellan, AR Masegosa International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2012	10	2012
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	9	2019
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	9	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	9	2016
Dynamic Bayesian modeling for risk prediction in credit operations H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ... Proceedings of the Thirteenth Scandinavian Conference on Artificial …, 2015	9	2015

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