Andrés Cano

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Serafín MoralDept. Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Manuel Gómez-Olmedo (mgomez at d...Department of Computer Science and Artificial Intelligence, Universidad de GranadaVerified email at decsai.ugr.es
Antonio SalmerónUniversity of Almería, SpainVerified email at ual.es
Andres R. MasegosaUniversity of AalborgVerified email at cs.aau.dk
Rafael CabañasUniversity of AlmeríaVerified email at ual.es
Cora Beatriz Pérez-ArizaPhD fellow, University of GranadaVerified email at decsai.ugr.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
Luis M. de CamposProfessor of Computer Science and Artificial Intelligence, Universidad de Granada, SpainVerified email at decsai.ugr.es
Alessandro AntonucciSenior Lecturer-Researcher at IDSIAVerified email at idsia.ch
Juan Manuel Fernández LunaUniversity of GranadaVerified email at decsai.ugr.es
Thomas LukasiewiczVienna University of Technology, Austria; University of Oxford, UKVerified email at tuwien.ac.at
Fabio Gagliardi CozmanUniversidade de Sao PauloVerified email at usp.br
Jose A. Gámez (ORCID: 0000-0003-1...Professor of Computer Science, University of Castilla-La Mancha, Albacete, SpainVerified email at uclm.es
Thomas Dyhre NielsenAalborg UniversityVerified email at cs.aau.dk

Andrés Cano

Department of Computer Science and Artificial Intelligence, University of Granada

Verified email at decsai.ugr.es - Homepage

Bayesian networks imprecise probabilities probabilistic graphical models data mining data science


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Elvira: An environment for creating and using probabilistic graphical models Elvira Consortium Proceedings of the first European workshop on probabilistic graphical models …, 2002	180	2002
Importance sampling in Bayesian networks using probability trees A Salmerón, A Cano, S Moral Computational statistics & data analysis 34 (4), 387-413, 2000	122	2000
Penniless propagation in join trees A Cano, S Moral, A Salmerón International Journal of Intelligent Systems 15 (11), 1027-1059, 2000	91	2000
Heuristic algorithms for the triangulation of graphs A Cano, S Moral Advances in Intelligent Computing—IPMU'94: 5th International Conference on …, 1995	88	1995
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	81	2011
Using probability trees to compute marginals with imprecise probabilities A Cano, S Moral International Journal of Approximate Reasoning 29 (1), 1-46, 2002	68	2002
Convex sets of probabilities propagation by simulated annealing A Cano, JE Cano, S Moral Proceedings of the Fith International Conference on Information Processing …, 1994	65	1994
Strong conditional independence for credal sets S Moral, A Cano Annals of Mathematics and Artificial Intelligence 35, 295-321, 2002	50	2002
Lazy evaluation in Penniless propagation over join trees A Cano, S Moral, A Salmeron Networks: An International Journal 39 (4), 175-185, 2002	49	2002
A genetic algorithm to approximate convex sets of probabilities A Cano, S Moral IPMU 96, 859-864, 1996	49	1996
Bayesian networks classifiers for gene-expression data LM De Campos, A Cano, JG Castellano, S Moral 2011 11th International Conference on Intelligent Systems Design and …, 2011	41	2011
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	41	2007
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
A Review of Propagation Algorithms for Imprecise Probabilities A Cano, S Moral FIRST INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR …, 1999	27	1999
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
Propagación exacta y aproximada con árboles de probabilidad A Cano, S Moral Actas de la VII Conferencia de la Asociación Espanola para la Inteligencia …, 1997	26	1997
Approximate inference in Bayesian networks using binary probability trees A Cano, M Gémez-Olmedo, S Moral International Journal of Approximate Reasoning 52 (1), 49-62, 2011	25	2011
Applying numerical trees to evaluate asymmetric decision problems M Gómez, A Cano Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 7th …, 2003	16	2003
Algorithms for imprecise probabilities A Cano, S Moral Handbook of Defeasible Reasoning and Uncertainty Management Systems …, 2000	16	2000
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	15	2013

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