Antonio Salmerón

According to our database, Antonio Salmerón authored at least 97 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Counterfactual Reasoning with Probabilistic Graphical Models for Analyzing Socioecological Systems.

Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón

CoRR, 2024

2023

Bayesian Network analysis of software logs for data-driven software maintenance.

Santiago del Rey, Silverio Martínez-Fernández, Antonio Salmerón

IET Softw., June, 2023

2022

A Reparameterization of Mixtures of Truncated Basis Functions and its Applications.

Antonio Salmerón, Helge Langseth, Andrés R. Masegosa, Thomas D. Nielsen

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Probabilistic Models with Deep Neural Networks.

Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón

Entropy, 2021

2020

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions.

Inmaculada Pérez-Bernabé, Ana D. Maldonado, Antonio Salmerón, Thomas D. Nielsen

R J., 2020

Comparing two multinomial samples using hierarchical Bayesian models.

Andrés R. Masegosa, Antonio Torres, María Morales, Antonio Salmerón

Prog. Artif. Intell., 2020

InferPy: Probabilistic modeling with deep neural networks made easy.

Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa

Neurocomputing, 2020

Analyzing concept drift: A case study in the financial sector.

Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón

Intell. Data Anal., 2020

Analyzing Uncertainty in Complex Socio-Ecological Networks.

Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón

Entropy, 2020

Probabilistic Graphical Models with Neural Networks in InferPy.

Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

A survey on Bayesian network structure learning from data.

Mauro Scanagatta, Antonio Salmerón, Fabio Stella

Prog. Artif. Intell., 2019

AMIDST: A Java toolbox for scalable probabilistic machine learning.

Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen

Knowl. Based Syst., 2019

InferPy: Probabilistic modeling with Tensorflow made easy.

Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa

Knowl. Based Syst., 2019

Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models.

Ana D. Maldonado, Laura Uusitalo, Allan Tucker, Thorsten Blenckner, Pedro Aguilera Aguilera, Antonio Salmerón

Environ. Model. Softw., 2019

2018

A Review of Inference Algorithms for Hybrid Bayesian Networks.

Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen

J. Artif. Intell. Res., 2018

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.

Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen

Int. J. Approx. Reason., 2018

2017

MAP inference in dynamic hybrid Bayesian networks.

Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen

Prog. Artif. Intell., 2017

A parallel algorithm for Bayesian network structure learning from large data sets.

Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen

Knowl. Based Syst., 2017

Scaling up Bayesian variational inference using distributed computing clusters.

Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

Int. J. Approx. Reason., 2017

Bayesian Models of Data Streams with Hierarchical Power Priors.

Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction.

Ana D. Maldonado, Pedro Aguilera Aguilera, Antonio Salmerón

Environ. Model. Softw., 2016

Parameter learning in hybrid Bayesian networks using prior knowledge.

Inmaculada Pérez-Bernabé, Antonio Fernández, Rafael Rumí, Antonio Salmerón

Data Min. Knowl. Discov., 2016

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.

Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

d-VMP: Distributed Variational Message Passing.

Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Financial Data Analysis with PGMs Using AMIDST.

Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs.

Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Continuous Bayesian networks for the estimation of species richness.

Ana D. Maldonado, Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí, Antonio Salmerón

Prog. Artif. Intell., 2015

Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals.

Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón

Int. J. Intell. Syst., 2015

Recent Advances in Probabilistic Graphical Models.

Concha Bielza, Serafín Moral, Antonio Salmerón

Int. J. Intell. Syst., 2015

Dynamic Bayesian modeling for risk prediction in credit operations.

Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez

Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Modeling Concept Drift: A Probabilistic Graphical Model Based Approach.

Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

MPE Inference in Conditional Linear Gaussian Networks.

Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Learning Conditional Distributions Using Mixtures of Truncated Basis Functions.

Inmaculada Pérez-Bernabé, Antonio Salmerón, Helge Langseth

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

Parallel Importance Sampling in Conditional Linear Gaussian Networks.

Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen

Proceedings of the Advances in Artificial Intelligence, 2015

Estimation of Species Richness Using Bayesian Networks.

Ana D. Maldonado, Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí, Antonio Salmerón

Proceedings of the Advances in Artificial Intelligence, 2015

Parallelisation of the PC Algorithm.

Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Data clustering using hidden variables in hybrid Bayesian networks.

Antonio Fernández, José A. Gámez, Rafael Rumí, Antonio Salmerón

Prog. Artif. Intell., 2014

A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination.

Jens Dalgaard Nielsen, Antonio Salmerón, José A. Gámez

Int. J. Approx. Reason., 2014

Learning mixtures of truncated basis functions from data.

Helge Langseth, Thomas D. Nielsen, Inmaculada Pérez-Bernabé, Antonio Salmerón

Int. J. Approx. Reason., 2014

A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs.

Anders L. Madsen, Frank Jensen, Antonio Salmerón, Martin Karlsen, Helge Langseth, Thomas D. Nielsen

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Supervised Classification Using Hybrid Probabilistic Decision Graphs.

Antonio Fernández, Rafael Rumí, José del Sagrado, Antonio Salmerón

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Requirement Engineering for a Small Project with Pre-Specified Scope.

Thomas D. Nielsen, Sigve Hovda, Antonio Fernández, Helge Langseth, Anders L. Madsen, Andrés R. Masegosa, Antonio Salmerón

Proceedings of the 27th Norsk Informatikkonferanse, 2014

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

Inventory management with log-normal demand per unit time.

Barry R. Cobb, Rafael Rumí, Antonio Salmerón

Comput. Oper. Res., 2013

New strategies for finding multiplicative decompositions of probability trees.

Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón

Appl. Math. Comput., 2013

Incorporating Prior Knowledge when Learning Mixtures of Truncated Basis Functions from Data.

Antonio Fernández, Inmaculada Pérez-Bernabé, Rafael Rumí, Antonio Salmerón

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Learning Recursive Probability Trees from Data.

Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora Beatriz Pérez-Ariza, Antonio Salmerón

Proceedings of the Advances in Artificial Intelligence, 2013

On Using the PC Algorithm for Learning Continuous Bayesian Networks: An Experimental Analysis.

Antonio Fernández, Inmaculada Pérez-Bernabé, Antonio Salmerón

Proceedings of the Advances in Artificial Intelligence, 2013

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

Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs.

Jens Dalgaard Nielsen, José A. Gámez, Antonio Salmerón

Int. J. Approx. Reason., 2012

Mixtures of truncated basis functions.

Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón

Int. J. Approx. Reason., 2012

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

Answering queries in hybrid Bayesian networks using importance sampling.

Antonio Fernández, Rafael Rumí, Antonio Salmerón

Decis. Support Syst., 2012

Moments and associated measures of copulas with fractal support.

Enrique de Amo, Manuel Díaz Carrillo, Juan Fernández-Sánchez, Antonio Salmerón

Appl. Math. Comput., 2012

2011

A system for relevance analysis of performance indicators in higher education using Bayesian networks.

Antonio Fernández, María Morales, Carmelo Rodríguez, Antonio Salmerón

Knowl. Inf. Syst., 2011

Bayesian networks in environmental modelling.

Pedro Aguilera Aguilera, Antonio Fernández, Rosa Fernández, Rafael Rumí, Antonio Salmerón

Environ. Model. Softw., 2011

Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals.

Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers.

M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010

Learning Bayesian Networks for Regression from Incomplete Databases.

Antonio Fernández, Jens Dalgaard Nielsen, Antonio Salmerón

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010

Structural-EM for learning PDG models from incomplete data.

Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón

Int. J. Approx. Reason., 2010

Parameter estimation and model selection for mixtures of truncated exponentials.

Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón

Int. J. Approx. Reason., 2010

Probability Tree Factorisation with Median Free Term.

Irene Martínez, Carmelo Rodríguez, Antonio Salmerón

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning.

Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Conditional Gaussian Probabilistic Decision Graphs.

Jens Dalgaard Nielsen, Antonio Salmerón Cerdán

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009

Inference in hybrid Bayesian networks.

Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón

Reliab. Eng. Syst. Saf., 2009

Supervised classification using probabilistic decision graphs.

Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón

Comput. Stat. Data Anal., 2009

Maximum Likelihood Learning of Conditional MTE Distributions.

Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials.

Barry R. Cobb, Rafael Rumí, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

BayesChess: A computer chess program based on Bayesian networks.

Antonio Fernández, Antonio Salmerón

Pattern Recognit. Lett., 2008

Extension of Bayesian Network Classifiers to Regression Problems.

Antonio Fernández, Antonio Salmerón

Proceedings of the Advances in Artificial Intelligence, 2008

2007

Selective Naive Bayes for Regression Based on Mixtures of Truncated Exponentials.

María Morales, Carmelo Rodríguez, Antonio Salmerón

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007

Approximate probability propagation with mixtures of truncated exponentials.

Rafael Rumí, Antonio Salmerón

Int. J. Approx. Reason., 2007

Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management.

Antonio Fernández, María Morales, Antonio Salmerón

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

2006

Learning hybrid Bayesian networks using mixtures of truncated exponentials.

Vanessa Romero, Rafael Rumí, Antonio Salmerón

Int. J. Approx. Reason., 2006

Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004.

Peter J. F. Lucas, José A. Gámez, Antonio Salmerón

Int. J. Approx. Reason., 2006

Dynamic importance sampling in Bayesian networks using factorisation of probability trees.

Irene Martínez, Carmelo Rodríguez, Antonio Salmerón

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials.

José A. Gámez, Rafael Rumí, Antonio Salmerón

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005

Dynamic importance sampling in Bayesian networks based on probability trees.

Serafín Moral, Antonio Salmerón

Int. J. Approx. Reason., 2005

Modeling Conditional Distributions of Continuous Variables in Bayesian Networks.

Barry R. Cobb, Rafael Rumí, Antonio Salmerón

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Penniless Propagation with Mixtures of Truncated Exponentials.

Rafael Rumí, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Approximate Factorisation of Probability Trees.

Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2003

Probabilistic graphical models.

José A. Gámez, Antonio Salmerón

Int. J. Intell. Syst., 2003

Novel strategies to approximate probability trees in penniless propagation.

Andrés Cano, Serafín Moral, Antonio Salmerón

Int. J. Intell. Syst., 2003

Dynamic Importance Sampling Computation in Bayesian Networks.

Serafín Moral, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Approximating Conditional MTE Distributions by Means of Mixed Trees.

Serafín Moral, Rafael Rumí, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

Representing Canonical Models as Probability Trees.

José del Sagrado, Antonio Salmerón

Proceedings of the Current Topics in Artificial Intelligence, 2003

2002

Lazy evaluation in penniless propagation over join trees.

Andrés Cano, Serafín Moral, Antonio Salmerón

Networks, 2002

Different strategies to approximate probability trees in penniless propagation.

Andrés Cano, Serafín Moral, Antonio Salmerón

Inteligencia Artif., 2002

Estimating Mixtures of Truncated Exponentials from Data.

Serafín Moral, Rafael Rumí, Antonio Salmerón

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Factorisation of Probability Trees and its Application to Inference in Bayesian Networks.

Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

2001

Importance Sampling in Bayesian Networks Using Antithetic Variables.

Antonio Salmerón, Serafín Moral

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

Mixtures of Truncated Exponentials in Hybrid Bayesian Networks.

Serafín Moral, Rafael Rumí, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000

Operational Approach to General Fuzzy Measures.

Fernando Reche, Antonio Salmerón

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000

Penniless propagation in join trees.

Andrés Cano, Serafín Moral, Antonio Salmerón

Int. J. Intell. Syst., 2000

1999

Towards an Operational Interpretation of Fuzzy Measures.

Fernando Reche, Antonio Salmerón

Proceedings of the ISIPTA '99, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, held at the Conference Center "Het Pand" of the Universiteit Gent, Ghent, Belgium, 29 June, 1999

A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation.

Serafín Moral, Antonio Salmerón

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

1998

A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques.

Luis D. Hernández, Serafín Moral, Antonio Salmerón

Int. J. Approx. Reason., 1998