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2020 – today
- 2023
[j28]Andrés Cano
, Jasper De Bock, Enrique Miranda:
The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21). Int. J. Approx. Reason. 152: 355-356 (2023)- [j27]Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo:
Imprecise probabilistic models based on hierarchical intervals. Inf. Sci. 638: 118995 (2023) - 2021
- [j26]Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo:
Computation of Kullback-Leibler Divergence in Bayesian Networks. Entropy 23(9): 1122 (2021) - [j25]Manuel Gómez-Olmedo, Rafael Cabañas, Andrés Cano, Serafín Moral, Ofelia P. Retamero:
Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models. Int. J. Intell. Syst. 36(11): 6913-6943 (2021) - [e1]Andrés Cano, Jasper De Bock, Enrique Miranda, Serafín Moral:
International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2021, 6-9 July 2021, University of Granada, Granada, Spain. Proceedings of Machine Learning Research 147, PMLR 2021 [contents] - 2020
- [j24]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Serafín Moral-García:
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(5): 785-805 (2020) - [c27]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Learning Sets of Bayesian Networks. IPMU (2) 2020: 151-164
2010 – 2019
- 2019
- [j23]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
A Bayesian approach to abrupt concept drift. Knowl. Based Syst. 185 (2019) - 2018
- [c26]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models. IPMU (3) 2018: 616-628 - 2017
- [j22]Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo:
Evaluating interval-valued influence diagrams. Int. J. Approx. Reason. 80: 393-411 (2017) - [c25]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions. SUM 2017: 107-118 - 2016
- [j21]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. Int. J. Approx. Reason. 70: 13-35 (2016) - [j20]Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano:
Using Binary Trees for the Evaluation of Influence Diagrams. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(1): 59-90 (2016) - 2015
- [j19]Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza:
An Extended Approach to Learning Recursive Probability Trees from Data. Int. J. Intell. Syst. 30(3): 355-383 (2015) - [c24]Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo:
Variable Elimination for Interval-Valued Influence Diagrams. ECSQARU 2015: 541-551 - 2014
- [j18]Andrés Cano, Manuel Gómez-Olmedo, Thomas Dyhre Nielsen:
Special Issue on PGM-2012. Int. J. Approx. Reason. 55(4): 925 (2014) - [c23]Rafael Cabañas, Anders L. Madsen, Andrés Cano, Manuel Gómez-Olmedo:
On SPI for Evaluating Influence Diagrams. IPMU (1) 2014: 506-516 - [c22]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
On SPI-Lazy Evaluation of Influence Diagrams. Probabilistic Graphical Models 2014: 97-112 - [c21]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza:
Extended Probability Trees for Probabilistic Graphical Models. Probabilistic Graphical Models 2014: 113-128 - 2013
- [j17]Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks. Int. J. Approx. Reason. 54(4): 526-540 (2013) - [j16]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón:
Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. Int. J. Intell. Syst. 28(7): 623-647 (2013) - [c20]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
Approximate Lazy Evaluation of Influence Diagrams. CAEPIA 2013: 321-331 - [c19]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora Beatriz Pérez-Ariza, Antonio Salmerón:
Learning Recursive Probability Trees from Data. CAEPIA 2013: 332-341 - [c18]Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano:
Evaluating Asymmetric Decision Problems with Binary Constraint Trees. ECSQARU 2013: 85-96 - [c17]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. SCAI 2013: 65-74 - 2012
- [j15]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón:
Learning recursive probability trees from probabilistic potentials. Int. J. Approx. Reason. 53(9): 1367-1387 (2012) - [j14]Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón:
Fast Factorisation of Probabilistic Potentials and its Application to Approximate Inference in Bayesian Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20(2): 223-243 (2012) - 2011
- [j13]Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A memory efficient semi-Naive Bayes classifier with grouping of cases. Intell. Data Anal. 15(3): 299-318 (2011) - [j12]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Approximate inference in Bayesian networks using binary probability trees. Int. J. Approx. Reason. 52(1): 49-62 (2011) - [j11]Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data. IEEE Trans. Syst. Man Cybern. Part B 41(5): 1382-1394 (2011) - [c16]Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Locally Averaged Bayesian Dirichlet Metrics. ECSQARU 2011: 217-228 - [c15]Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral:
Learning with Bayesian networks and probability trees to approximate a joint distribution. ISDA 2011: 624-629 - [c14]Luis M. de Campos, Andrés Cano, Javier G. Castellano, Serafín Moral:
Bayesian networks classifiers for gene-expression data. ISDA 2011: 1200-1206 - 2010
- [c13]Andrés Cano, Andrés R. Masegosa, Serafín Moral:
An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data. IPMU 2010: 685-695 - [c12]Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón:
Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning. SMPS 2010: 65-72
2000 – 2009
- 2009
- [c11]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza:
Recursive Probability Trees for Bayesian Networks. CAEPIA 2009: 242-251 - [c10]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Binary Probability Trees for Bayesian Networks Inference. ECSQARU 2009: 180-191 - [c9]Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A Bayesian Random Split to Build Ensembles of Classification Trees. ECSQARU 2009: 469-480 - 2007
- [j10]Andrés Cano, Fábio Gagliardi Cozman, Thomas Lukasiewicz:
Reasoning with imprecise probabilities. Int. J. Approx. Reason. 44(3): 197-199 (2007) - [j9]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Joaquín Abellán:
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. Int. J. Approx. Reason. 44(3): 261-280 (2007) - [c8]Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral:
A Semi-naive Bayes Classifier with Grouping of Cases. ECSQARU 2007: 477-488 - 2006
- [j8]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
A forward-backward Monte Carlo method for solving influence diagrams. Int. J. Approx. Reason. 42(1-2): 119-135 (2006) - 2005
- [c7]Andrés Cano, Francisco Javier García 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. ECSQARU 2005: 908-920 - [c6]Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral:
Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. ECSQARU 2005: 932-943 - [c5]Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral:
Application of a hill-climbing algorithm to exact and approximate inference in credal networks. ISIPTA 2005: 88-97 - 2003
- [j7]Andrés Cano, Serafín Moral, Antonio Salmerón:
Novel strategies to approximate probability trees in penniless propagation. Int. J. Intell. Syst. 18(2): 193-203 (2003) - [c4]Manuel Gómez-Olmedo, Andrés Cano:
Applying Numerical Trees to Evaluate Asymmetric Decision Problems. ECSQARU 2003: 196-207 - 2002
- [j6]Andrés Cano, Serafín Moral, Antonio Salmerón:
Different strategies to approximate probability trees in penniless propagation. Inteligencia Artif. 6(15) (2002) - [j5]Serafín Moral, Andrés Cano:
Strong Conditional Independence for Credal Sets. Ann. Math. Artif. Intell. 35(1-4): 295-321 (2002) - [j4]Andrés Cano, Serafín Moral:
Using probability trees to compute marginals with imprecise probabilities. Int. J. Approx. Reason. 29(1): 1-46 (2002) - [j3]Andrés Cano, Juan M. Fernández-Luna, Serafín Moral:
Computing probability intervals with simulated annealing and probability trees. J. Appl. Non Class. Logics 12(2): 151-171 (2002) - [j2]Andrés Cano, Serafín Moral, Antonio Salmerón:
Lazy evaluation in penniless propagation over join trees. Networks 39(4): 175-185 (2002) - 2001
- [c3]Andrés Cano, Serafín Moral:
Computing Intervals of Probabilities with Simulated Annealing and Probability Trees. ECSQARU 2001: 278-289 - 2000
- [j1]Andrés Cano, Serafín Moral, Antonio Salmerón:
Penniless propagation in join trees. Int. J. Intell. Syst. 15(11): 1027-1059 (2000)
1990 – 1999
- 1999
- [c2]Andrés Cano, Serafín Moral:
A Review of Propagation Algorithms for Imprecise Probabilities. ISIPTA 1999: 51-60 - 1994
- [c1]Andrés Cano, Serafín Moral:
Heuristic Algorithms for the Triangulation of Graphs. IPMU 1994: 98-107
Coauthor Index
aka: Serafín Moral-García
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