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 AlmeriaVerified email at ual.es
Rafael CabañasIDSIA - Istituto Dalle Molle di studi sull'Intelligenza ArtificialeVerified email at idsia.ch
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
Alessandro AntonucciSenior Lecturer-Researcher at IDSIAVerified email at idsia.ch
Luis M. de CamposProfessor of Computer Science and Artificial Intelligence, Universidad de Granada, SpainVerified email at decsai.ugr.es
Juan Manuel Fernández LunaUniversity of GranadaVerified email at decsai.ugr.es
Thomas LukasiewiczProfessor of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
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	172	2002
Importance sampling in Bayesian networks using probability trees A Salmerón, A Cano, S Moral Computational statistics & data analysis 34 (4), 387-413, 2000	114	2000
Penniless propagation in join trees A Cano, S Moral, A Salmerón International Journal of Intelligent Systems 15 (11), 1027-1059, 2000	87	2000
Heuristic algorithms for the triangulation of graphs A Cano, S Moral International Conference on Information Processing and Management of …, 1994	85	1994
Using probability trees to compute marginals with imprecise probabilities A Cano, S Moral International Journal of Approximate Reasoning 29 (1), 1-46, 2002	62	2002
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
Convex sets of probabilities propagation by simulated annealing A Cano, JE Cano, S Moral In Proceedings of the Fith International Conference IPMU'94, 1994	60	1994
Strong conditional independence for credal sets S Moral, A Cano Annals of Mathematics and Artificial Intelligence 35 (1), 295-321, 2002	48	2002
A genetic algorithm to approximate convex sets of probabilities A Cano, S Moral	46	1996
Lazy evaluation in Penniless propagation over join trees A Cano, S Moral, A Salmerón Networks: An International Journal 39 (4), 175-185, 2002	44	2002
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	36	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	30	2008
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	27	2006
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	26	2011
A Review of Propagation Algorithms for Imprecise Probabilities A Cano, S Moral FIRST INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR …, 1999	24	1999
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	24	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	20	2011
Recursive probability trees for Bayesian networks A Cano, M Gómez-Olmedo, S Moral, CB Pérez-Ariza Conference of the Spanish Association for Artificial Intelligence, 242-251, 2009	14	2009
Applying numerical trees to evaluate asymmetric decision problems M Gómez, A Cano European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2003	14	2003
Novel strategies to approximate probability trees in Penniless propagation A Cano, S Moral, A Salmerón International Journal of Intelligent Systems 18 (2), 193-203, 2003	14	2003

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