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

A Decision-Based Approach for Recommending in Hierarchical Domains. - Luis M. de Campos; Juan M. Fernández-Luna; Manuel Gómez-Olmedo; Juan F. Huete (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)

Some Variations on the PC Algorithm. - Joaquín Abellán; Manuel Gómez-Olmedo; Serafín Moral (Probabilistic Graphical Models, 2006)

Varying Parameter in Classification Based on Imprecise Probabilities. - Joaquín Abellán; Serafín Moral; Manuel Gómez-Olmedo; Andrés R. Masegosa (SMPS, 2006)

Measures of divergence on credal sets. - Joaquín Abellán; Manuel Gómez-Olmedo (Fuzzy Sets Syst., 2006)

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

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)

Development of the XML Digital Library from the Parliament of Andalucía for Intelligent Structured Retrieval. - Juan M. Fernández-Luna; Juan F. Huete; Manuel Gómez-Olmedo; Carlos J. Martín-Dancausa (ISMIS, 2008)

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)

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)

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

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

Approximate Counting of Graphical Models via MCMC Revisited. - Dag Sonntag; José M. Peña 001; Manuel Gómez-Olmedo (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)

Learning marginal AMP chain graphs under faithfulness revisited. - José M. Peña 001; Manuel Gómez-Olmedo (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)

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

Toward Variational Structural Learning of Bayesian Networks. - Andrés R. Masegosa; Manuel Gómez-Olmedo (IEEE Access, 2025)