Manuel Gómez-Olmedo (mgomez at decsai.ugr.es)

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Andrés CanoDepartment of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Serafín MoralDept. Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Concha BielzaProfessor of Statistics and Operations Research, Technical University of MadridVerified email at fi.upm.es
Juan A. Fernández del PozoAssociate Professor, b. Universidad Politécnica de MadridVerified email at fi.upm.es
Rafael CabañasUniversity of AlmeríaVerified email at ual.es
Joaquín AbellánProfesor del departamento de Ciencias de la Computación e Inteligencia Artificial (UGR)Verified email at decsai.ugr.es
Cora Beatriz Pérez-ArizaPhD fellow, University of GranadaVerified email at decsai.ugr.es
Andres R. MasegosaUniversity of AalborgVerified email at cs.aau.dk
Anders L MadsenCEO at HUGIN EXPERT and Adjunct professor at Aalborg UniversityVerified email at hugin.com
Antonio SalmerónUniversity of Almería, SpainVerified email at ual.es
Prakash P. ShenoyUniversity of Kansas School of BusinessVerified email at ku.edu
Alessandro AntonucciSenior Lecturer-Researcher at IDSIAVerified email at idsia.ch
Juan Manuel Fernández LunaUniversity of GranadaVerified email at decsai.ugr.es
Juan HueteUniversity GranadaVerified email at decsai.ugr.es
Luis M. de CamposProfessor of Computer Science and Artificial Intelligence, Universidad de Granada, SpainVerified email at decsai.ugr.es
Alfonso Mateos CaballeroUniversidad Politécnica de MadridVerified email at fi.upm.es
Carlos Martín-DancausaBanco SantanderVerified email at gruposantander.com
Thomas Dyhre NielsenAalborg UniversityVerified email at cs.aau.dk
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
Jesús González PeñalverCatedrático de Universidad, Universidad de GranadaVerified email at ugr.es

Manuel Gómez-Olmedo (mgomez at decsai.ugr.es)

Department of Computer Science and Artificial Intelligence, Universidad de Granada

Verified email at decsai.ugr.es

Bayesian netowrks influence diagrams decision support systems


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Some Variations on the PC Algorithm. J Abellán, M Gómez-Olmedo, S Moral Probabilistic graphical models, 1-8, 2006	71	2006
A review of representation issues and modeling challenges with influence diagrams C Bielza, M Gómez, PP Shenoy Omega 39 (3), 227-241, 2011	45	2011
Operativización de los estilos de vida mediante la distribución del tiempo en personas mayores de 50 años M Gómez Granada: Universidad de Granada, 2005	43	2005
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks A Cano, M Gómez, S Moral, J Abellán International journal of approximate reasoning 44 (3), 261-280, 2007	42	2007
Modeling challenges with influence diagrams: Constructing probability and utility models C Bielza, M Gomez, PP Shenoy Decision Support Systems 49 (4), 354-364, 2010	39	2010
A graphical decision-theoretic model for neonatal jaundice M Gomez, C Bielza, JA Fernández del Pozo, S Rios-Insua Medical Decision Making 27 (3), 250-265, 2007	39	2007
La solución de problemas en ciencias de la naturaleza JI Pozo, M Gómez La solución de problemas. Madrid: Santillana, 85-126, 1994	39	1994
La influencia de la familia en el hábito lector A Pérez, M Gómez Criterios de selección de recursos para la lectura y la alfabetización …, 2015	34	2015
A score based ranking of the edges for the PC algorithm A Cano, M Gómez-Olmedo, S Moral Proceedings of the Fourth European Workshop on Probabilistic Graphical …, 2008	32	2008
Measures of divergence on credal sets J Abellán, M Gómez Fuzzy sets and systems 157 (11), 1514-1531, 2006	32	2006
Structural, elicitation and computational issues faced when solving complex decision making problems with influence diagrams C Bielza, M Gómez, S Ríos-Insua, JA del Pozo Computers & Operations Research 27 (7-8), 725-740, 2000	31	2000
A list-based compact representation for large decision tables management JAF Del Pozo, C Bielza, M Gómez European Journal of Operational Research 160 (3), 638-662, 2005	29	2005
El aprendizaje de conceptos científicos: del aprendizaje significativo al cambio conceptual JI Pozo, M Gómez Aprender a enseñar ciencias. Madrid: Morata, 84-127, 1998	27	1998
Approximate inference in Bayesian networks using binary probability trees A Cano, M Gómez-Olmedo, S Moral International Journal of Approximate Reasoning 52 (1), 49-62, 2011	26	2011
A forward-backward Monte Carlo method for solving influence diagrams A Cano, M Gómez, S Moral International journal of approximate reasoning 42 (1-2), 119-135, 2006	26	2006
Approximate counting of graphical models via MCMC revisited D Sonntag, JM Pena, M Gómez‐Olmedo International Journal of Intelligent Systems 30 (3), 384-420, 2015	21	2015
Node deletion sequences in influence diagrams using genetic algorithms M Gómez, C Bielza Statistics and Computing 14, 181-198, 2004	16	2004
Real-world applications of influence diagrams M Gómez Advances in Bayesian networks, 161-180, 2004	16	2004
Applying numerical trees to evaluate asymmetric decision problems M Gómez, A Cano Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 196-207, 2004	16	2004
Sensitivity analysis in IctNeo C Bielza, S Ríos-Insua, M Gómez, JAF del Pozo Robust bayesian analysis, 317-334, 2000	16	2000

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