Manuel Gómez-Olmedo

Orcid: 0000-0002-3817-8723

According to our database1, Manuel Gómez-Olmedo authored at least 42 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Imprecise probabilistic models based on hierarchical intervals.
Inf. Sci., August, 2023

2021
Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models.
Int. J. Intell. Syst., 2021

Computation of Kullback-Leibler Divergence in Bayesian Networks.
Entropy, 2021

2020
MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

Learning Sets of Bayesian Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019
A Bayesian approach to abrupt concept drift.
Knowl. Based Syst., 2019

2018
Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017
Evaluating interval-valued influence diagrams.
Int. J. Approx. Reason., 2017

Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

2016
Using Binary Trees for the Evaluation of Influence Diagrams.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Learning marginal AMP chain graphs under faithfulness revisited.
Int. J. Approx. Reason., 2016

Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams.
Int. J. Approx. Reason., 2016

2015
Approximate Counting of Graphical Models via MCMC Revisited.
Int. J. Intell. Syst., 2015

An Extended Approach to Learning Recursive Probability Trees from Data.
Int. J. Intell. Syst., 2015

Variable Elimination for Interval-Valued Influence Diagrams.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Special Issue on PGM-2012.
Int. J. Approx. Reason., 2014

Extended Probability Trees for Probabilistic Graphical Models.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

On SPI-Lazy Evaluation of Influence Diagrams.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

On SPI for Evaluating Influence Diagrams.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2013
Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations.
Int. J. Intell. Syst., 2013

Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks.
Int. J. Approx. Reason., 2013

Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Evaluating Asymmetric Decision Problems with Binary Constraint Trees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Learning Recursive Probability Trees from Data.
Proceedings of the Advances in Artificial Intelligence, 2013

Approximate Lazy Evaluation of Influence Diagrams.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Fast Factorisation of Probabilistic Potentials and its Application to Approximate Inference in Bayesian Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Learning recursive probability trees from probabilistic potentials.
Int. J. Approx. Reason., 2012

2011
Approximate inference in Bayesian networks using binary probability trees.
Int. J. Approx. Reason., 2011

Learning with Bayesian networks and probability trees to approximate a joint distribution.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Locally Averaged Bayesian Dirichlet Metrics.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

2009
Binary Probability Trees for Bayesian Networks Inference.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Recursive Probability Trees for Bayesian Networks.
Proceedings of the Current Topics in Artificial Intelligence, 2009

2008
Development of the XML Digital Library from the Parliament of Andalucía for Intelligent Structured Retrieval.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

2007
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks.
Int. J. Approx. Reason., 2007

2006
A forward-backward Monte Carlo method for solving influence diagrams.
Int. J. Approx. Reason., 2006

Measures of divergence on credal sets.
Fuzzy Sets Syst., 2006

Varying Parameter in Classification Based on Imprecise Probabilities.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Some Variations on the PC Algorithm.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005
Application of a hill-climbing algorithm to exact and approximate inference in credal networks.
Proceedings of the ISIPTA '05, 2005

A Decision-Based Approach for Recommending in Hierarchical Domains.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2003
Applying Numerical Trees to Evaluate Asymmetric Decision Problems.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003


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