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Publications of Author

1. Andrés Cano, Javier Gomez Castellano, Andrés R. Masegosa, Serafín Moral
   Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. [Citation Graph (0, 0)][DBLP]
   ECSQARU, 2005, pp:908-920 [Conf]
   
2. Andrés Cano, Javier Gomez Castellano, Andrés R. Masegosa, Serafín Moral
   Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. [Citation Graph (0, 0)][DBLP]
   ECSQARU, 2005, pp:932-943 [Conf]
   
3. Andrés Cano, Serafín Moral
   Computing Intervals of Probabilities with Simulated Annealing and Probability Trees. [Citation Graph (0, 0)][DBLP]
   ECSQARU, 2001, pp:278-289 [Conf]
   
4. Manuel Gómez, Andrés Cano
   Applying Numerical Trees to Evaluate Asymmetric Decision Problems. [Citation Graph (0, 0)][DBLP]
   ECSQARU, 2003, pp:196-207 [Conf]
   
5. Andrés Cano, Serafín Moral
   Heuristic Algorithms for the Triangulation of Graphs. [Citation Graph (0, 0)][DBLP]
   IPMU, 1994, pp:98-107 [Conf]
   
6. Andrés Cano, Manuel Gómez, Serafín Moral
   Application of a hill-climbing algorithm to exact and approximate inference in credal networks. [Citation Graph (0, 0)][DBLP]
   ISIPTA, 2005, pp:88-97 [Conf]
   
7. Andrés Cano, Serafín Moral
   A Review of Propagation Algorithms for Imprecise Probabilities. [Citation Graph (0, 0)][DBLP]
   ISIPTA, 1999, pp:51-60 [Conf]
   
8. Andrés Cano, Serafín Moral, Antonio Salmerón
   Different strategies to approximate probability trees in penniless propagation. [Citation Graph (0, 0)][DBLP]
   Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2002, v:15, n:, pp:- [Journal]
   
9. Serafín Moral, Andrés Cano
   Strong Conditional Independence for Credal Sets. [Citation Graph (0, 0)][DBLP]
   Ann. Math. Artif. Intell., 2002, v:35, n:1-4, pp:295-321 [Journal]
   
10. Andrés Cano, Manuel Gómez, Serafín Moral
    A forward-backward Monte Carlo method for solving influence diagrams. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:119-135 [Journal]
    
11. Andrés Cano, Serafín Moral
    Using probability trees to compute marginals with imprecise probabilities. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2002, v:29, n:1, pp:1-46 [Journal]
    
12. Andrés Cano, Fabio Gagliardi Cozman, Thomas Lukasiewicz
    Reasoning with imprecise probabilities. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:3, pp:197-199 [Journal]
    
13. Andrés Cano, Manuel Gómez, Serafín Moral, Joaquín Abellán
    Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:44, n:3, pp:261-280 [Journal]
    
14. Andrés Cano, Serafín Moral, Antonio Salmerón
    Penniless propagation in join trees. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2000, v:15, n:11, pp:1027-1059 [Journal]
    
15. Andrés Cano, Serafín Moral, Antonio Salmerón
    Novel strategies to approximate probability trees in penniless propagation. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:2, pp:193-203 [Journal]
    
16. Andrés Cano, Juan M. Fernández-Luna, Serafín Moral
    Computing probability intervals with simulated annealing and probability trees. [Citation Graph (0, 0)][DBLP]
    Journal of Applied Non-Classical Logics, 2002, v:12, n:2, pp:151-171 [Journal]
    
17. Andrés Cano, Serafín Moral, Antonio Salmerón
    Lazy evaluation in penniless propagation over join trees. [Citation Graph (0, 0)][DBLP]
    Networks, 2002, v:39, n:4, pp:175-185 [Journal]
    
18. Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral
    A Semi-naive Bayes Classifier with Grouping of Cases. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:477-488 [Conf]
    
19. 
    Recursive Probability Trees for Bayesian Networks. [Citation Graph (, )][DBLP]
    
    
20. 
    A Bayesian Random Split to Build Ensembles of Classification Trees. [Citation Graph (, )][DBLP]
    
    
21. 
    Binary Probability Trees for Bayesian Networks Inference. [Citation Graph (, )][DBLP]
    
    
22. 
    An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data. [Citation Graph (, )][DBLP]