Manuel Gómez-Olmedo

43 papers C 8Journal 21Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Toward Variational Structural Learning of Bayesian Networks. IEEE Access Andrés R. Masegosa, Manuel Gómez-Olmedo
2023	J	`jnl`	Imprecise probabilistic models based on hierarchical intervals. Inf. Sci. Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo
2021	J	`jnl`	Computation of Kullback-Leibler Divergence in Bayesian Networks. Entropy Serafín Moral, Andrés Cano, Manuel Gómez-Olmedo
2021	J	`jnl`	Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models. Int. J. Intell. Syst. Manuel Gómez-Olmedo, Rafael Cabañas, Andrés Cano, Serafín Moral, Ofelia P. Retamero
2020	—	`conf`	Learning Sets of Bayesian Networks. IPMU (2) Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2020	J	`jnl`	MPE Computation in Bayesian Networks Using Mini-Bucket and Probability Trees Approximation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Serafín Moral-García
2019	J	`jnl`	A Bayesian approach to abrupt concept drift. Knowl. Based Syst. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2018	—	`conf`	Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models. IPMU (3) Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2017	—	`conf`	Estimating Conditional Probabilities by Mixtures of Low Order Conditional Distributions. SUM Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2017	J	`jnl`	Evaluating interval-valued influence diagrams. Int. J. Approx. Reason. Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo
2016	J	`jnl`	Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. Int. J. Approx. Reason. Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2016	J	`jnl`	Learning marginal AMP chain graphs under faithfulness revisited. Int. J. Approx. Reason. José M. Peña, Manuel Gómez-Olmedo
2016	J	`jnl`	Using Binary Trees for the Evaluation of Influence Diagrams. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano
2015	J	`jnl`	An Extended Approach to Learning Recursive Probability Trees from Data. Int. J. Intell. Syst. Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza
2015	J	`jnl`	Approximate Counting of Graphical Models via MCMC Revisited. Int. J. Intell. Syst. Dag Sonntag, José M. Peña, Manuel Gómez-Olmedo
2015	C	`conf`	Variable Elimination for Interval-Valued Influence Diagrams. ECSQARU Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo
2014	—	`conf`	Extended Probability Trees for Probabilistic Graphical Models. Probabilistic Graphical Models Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza
2014	—	`conf`	On SPI for Evaluating Influence Diagrams. IPMU (1) Rafael Cabañas, Anders L. Madsen, Andrés Cano, Manuel Gómez-Olmedo
2014	—	`conf`	On SPI-Lazy Evaluation of Influence Diagrams. Probabilistic Graphical Models Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2014	J	`jnl`	Special Issue on PGM-2012. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Thomas Dyhre Nielsen
2013	—	`conf`	Approximate Lazy Evaluation of Influence Diagrams. CAEPIA Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2013	C	`conf`	Evaluating Asymmetric Decision Problems with Binary Constraint Trees. ECSQARU Rafael Cabañas, Manuel Gómez-Olmedo, Andrés Cano
2013	—	`conf`	Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. SCAI Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen
2013	J	`jnl`	Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. Int. J. Intell. Syst. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón
2013	—	`conf`	Learning Recursive Probability Trees from Data. CAEPIA Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora Beatriz Pérez-Ariza, Antonio Salmerón
2013	J	`jnl`	Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2012	J	`jnl`	Fast Factorisation of Probabilistic Potentials and its Application to Approximate Inference in Bayesian Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón
2012	J	`jnl`	Learning recursive probability trees from probabilistic potentials. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón
2011	J	`jnl`	Approximate inference in Bayesian networks using binary probability trees. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2011	C	`conf`	Learning with Bayesian networks and probability trees to approximate a joint distribution. ISDA Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2011	C	`conf`	Locally Averaged Bayesian Dirichlet Metrics. ECSQARU Andrés Cano, Manuel Gómez-Olmedo, Andrés R. Masegosa, Serafín Moral
2010	—	`conf`	Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning. SMPS Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón
2009	C	`conf`	Binary Probability Trees for Bayesian Networks Inference. ECSQARU Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2009	—	`conf`	Recursive Probability Trees for Bayesian Networks. CAEPIA Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza
2008	C	`conf`	Development of the XML Digital Library from the Parliament of Andalucía for Intelligent Structured Retrieval. ISMIS Juan M. Fernández-Luna, Juan F. Huete, Manuel Gómez-Olmedo, Carlos J. Martín-Dancausa
2007	J	`jnl`	Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Joaquín Abellán
2006	J	`jnl`	A forward-backward Monte Carlo method for solving influence diagrams. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2006	J	`jnl`	Measures of divergence on credal sets. Fuzzy Sets Syst. Joaquín Abellán, Manuel Gómez-Olmedo
2006	—	`conf`	Some Variations on the PC Algorithm. Probabilistic Graphical Models Joaquín Abellán, Manuel Gómez-Olmedo, Serafín Moral
2006	—	`conf`	Varying Parameter in Classification Based on Imprecise Probabilities. SMPS Joaquín Abellán, Serafín Moral, Manuel Gómez-Olmedo, Andrés R. Masegosa
2005	C	`conf`	A Decision-Based Approach for Recommending in Hierarchical Domains. ECSQARU Luis M. de Campos, Juan M. Fernández-Luna, Manuel Gómez-Olmedo, Juan F. Huete
2005	—	`conf`	Application of a hill-climbing algorithm to exact and approximate inference in credal networks. ISIPTA Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral
2003	C	`conf`	Applying Numerical Trees to Evaluate Asymmetric Decision Problems. ECSQARU Manuel Gómez-Olmedo, Andrés Cano