Heuristic Algorithms for the Triangulation of Graphs. - Andrés Cano; Serafín Moral (IPMU, 1994)

A Review of Propagation Algorithms for Imprecise Probabilities. - Andrés Cano; Serafín Moral (ISIPTA, 1999)

Penniless propagation in join trees. - Andrés Cano; Serafín Moral; Antonio Salmerón (Int. J. Intell. Syst., 2000)

Computing Intervals of Probabilities with Simulated Annealing and Probability Trees. - Andrés Cano; Serafín Moral (ECSQARU, 2001)

Different strategies to approximate probability trees in penniless propagation. - Andrés Cano; Serafín Moral; Antonio Salmerón (Inteligencia Artif., 2002)

Strong Conditional Independence for Credal Sets. - Serafín Moral; Andrés Cano (Ann. Math. Artif. Intell., 2002)

Using probability trees to compute marginals with imprecise probabilities. - Andrés Cano; Serafín Moral (Int. J. Approx. Reason., 2002)

Computing probability intervals with simulated annealing and probability trees. - Andrés Cano; Juan M. Fernández-Luna; Serafín Moral (J. Appl. Non Class. Logics, 2002)

Lazy evaluation in penniless propagation over join trees. - Andrés Cano; Serafín Moral; Antonio Salmerón (Networks, 2002)

Applying Numerical Trees to Evaluate Asymmetric Decision Problems. - Manuel Gómez-Olmedo; Andrés Cano (ECSQARU, 2003)

Novel strategies to approximate probability trees in penniless propagation. - Andrés Cano; Serafín Moral; Antonio Salmerón (Int. J. Intell. Syst., 2003)

Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. - Andrés Cano; Francisco Javier García Castellano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2005)

Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. - Andrés Cano; Francisco Javier García Castellano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2005)

Application of a hill-climbing algorithm to exact and approximate inference in credal networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (ISIPTA, 2005)

A forward-backward Monte Carlo method for solving influence diagrams. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (Int. J. Approx. Reason., 2006)

A Semi-naive Bayes Classifier with Grouping of Cases. - Joaquín Abellán; Andrés Cano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2007)

Reasoning with imprecise probabilities. - Andrés Cano; Fábio Gagliardi Cozman; Thomas Lukasiewicz (Int. J. Approx. Reason., 2007)

Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Joaquín Abellán (Int. J. Approx. Reason., 2007)

Recursive Probability Trees for Bayesian Networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza (CAEPIA, 2009)

Binary Probability Trees for Bayesian Networks Inference. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (ECSQARU, 2009)

A Bayesian Random Split to Build Ensembles of Classification Trees. - Andrés Cano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2009)

An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data. - Andrés Cano; Andrés R. Masegosa; Serafín Moral (IPMU, 2010)

Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning. - Andrés Cano; Manuel Gómez-Olmedo; Cora B. Pérez-Ariza; Antonio Salmerón (SMPS, 2010)

Locally Averaged Bayesian Dirichlet Metrics. - Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2011)

Bayesian networks classifiers for gene-expression data. - Luis M. de Campos; Andrés Cano; Javier G. Castellano; Serafín Moral (ISDA, 2011)

Learning with Bayesian networks and probability trees to approximate a joint distribution. - Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (ISDA, 2011)

A memory efficient semi-Naive Bayes classifier with grouping of cases. - Joaquín Abellán; Andrés Cano; Andrés R. Masegosa; Serafín Moral (Intell. Data Anal., 2011)

Approximate inference in Bayesian networks using binary probability trees. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (Int. J. Approx. Reason., 2011)

A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data. - Andrés Cano; Andrés R. Masegosa; Serafín Moral (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Learning recursive probability trees from probabilistic potentials. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza; Antonio Salmerón (Int. J. Approx. Reason., 2012)

Fast Factorisation of Probabilistic Potentials and its Application to Approximate Inference in Bayesian Networks. - Andrés Cano; Manuel Gómez-Olmedo; Cora B. Pérez-Ariza; Antonio Salmerón (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012)

Approximate Lazy Evaluation of Influence Diagrams. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (CAEPIA, 2013)

Learning Recursive Probability Trees from Data. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora Beatriz Pérez-Ariza; Antonio Salmerón (CAEPIA, 2013)

Evaluating Asymmetric Decision Problems with Binary Constraint Trees. - Rafael Cabañas 001; Manuel Gómez-Olmedo; Andrés Cano (ECSQARU, 2013)

Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (SCAI, 2013)

Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks. - Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (Int. J. Approx. Reason., 2013)

Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza; Antonio Salmerón (Int. J. Intell. Syst., 2013)

On SPI for Evaluating Influence Diagrams. - Rafael Cabañas 001; Anders L. Madsen; Andrés Cano; Manuel Gómez-Olmedo (IPMU (1), 2014)

On SPI-Lazy Evaluation of Influence Diagrams. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (Probabilistic Graphical Models, 2014)

Extended Probability Trees for Probabilistic Graphical Models. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Cora B. Pérez-Ariza (Probabilistic Graphical Models, 2014)

Special Issue on PGM-2012. - Andrés Cano; Manuel Gómez-Olmedo; Thomas Dyhre Nielsen (Int. J. Approx. Reason., 2014)

Variable Elimination for Interval-Valued Influence Diagrams. - Rafael Cabañas 001; Alessandro Antonucci 001; Andrés Cano; Manuel Gómez-Olmedo (ECSQARU, 2015)

An Extended Approach to Learning Recursive Probability Trees from Data. - Andrés Cano; Manuel Gómez-Olmedo; Cora B. Pérez-Ariza (Int. J. Intell. Syst., 2015)

Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Anders L. Madsen (Int. J. Approx. Reason., 2016)

Using Binary Trees for the Evaluation of Influence Diagrams. - Rafael Cabañas 001; Manuel Gómez-Olmedo; Andrés Cano (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016)

Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (SUM, 2017)

Evaluating interval-valued influence diagrams. - Rafael Cabañas 001; Alessandro Antonucci 001; Andrés Cano; Manuel Gómez-Olmedo (Int. J. Approx. Reason., 2017)

Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models. - Rafael Cabañas 001; Andrés Cano; Manuel Gómez-Olmedo; Andrés R. Masegosa; Serafín Moral (IPMU (3), 2018)

A Bayesian approach to abrupt concept drift. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (Knowl. Based Syst., 2019)

Learning Sets of Bayesian Networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral (IPMU (2), 2020)

MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Serafín Moral-García (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020)

Computation of Kullback-Leibler Divergence in Bayesian Networks. - Serafín Moral; Andrés Cano; Manuel Gómez-Olmedo (Entropy, 2021)

Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models. - Manuel Gómez-Olmedo; Rafael Cabañas 001; Andrés Cano; Serafín Moral; Ofelia P. Retamero (Int. J. Intell. Syst., 2021)

The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21). - Andrés Cano; Jasper De Bock; Enrique Miranda 001 (Int. J. Approx. Reason., 2023)

Imprecise probabilistic models based on hierarchical intervals. - Serafín Moral; Andrés Cano; Manuel Gómez-Olmedo (Inf. Sci., 2023)