Antonio Salmerón

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 30

Top Venues

CoRR

Prog. Artif. Intell.

Int. J. Approx. Reason.

Probabilistic Graphical Models

Publications

Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón
Counterfactual Reasoning with Probabilistic Graphical Models for Analyzing Socioecological Systems. CoRR (2024)
Santiago del Rey, Silverio Martínez-Fernández, Antonio Salmerón
Bayesian Network analysis of software logs for data-driven software maintenance. IET Softw. 17 (3) (2023)
Antonio Salmerón, Helge Langseth, Andrés R. Masegosa, Thomas D. Nielsen
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications. PGM (2022)
Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
Probabilistic Models with Deep Neural Networks. Entropy 23 (1) (2021)
Andrés R. Masegosa, Antonio Torres, María Morales, Antonio Salmerón
Comparing two multinomial samples using hierarchical Bayesian models. Prog. Artif. Intell. 9 (2) (2020)
Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa
Probabilistic Graphical Models with Neural Networks in InferPy. PGM (2020)
Inmaculada Pérez-Bernabé, Ana D. Maldonado, Antonio Salmerón, Thomas D. Nielsen
MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions. R J. 12 (2) (2020)
Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón
Analyzing Uncertainty in Complex Socio-Ecological Networks. Entropy 22 (1) (2020)
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
Analyzing concept drift: A case study in the financial sector. Intell. Data Anal. 24 (3) (2020)
Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
InferPy: Probabilistic modeling with deep neural networks made easy. Neurocomputing 415 (2020)
Mauro Scanagatta, Antonio Salmerón, Fabio Stella
A survey on Bayesian network structure learning from data. Prog. Artif. Intell. 8 (4) (2019)
Ana D. Maldonado, Laura Uusitalo, Allan Tucker, Thorsten Blenckner, Pedro Aguilera Aguilera, Antonio Salmerón
Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models. Environ. Model. Softw. 118 (2019)
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
AMIDST: A Java toolbox for scalable probabilistic machine learning. Knowl. Based Syst. 163 (2019)
Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
InferPy: Probabilistic modeling with Tensorflow made easy. Knowl. Based Syst. 168 (2019)
Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
Probabilistic Models with Deep Neural Networks. CoRR (2019)
Javier Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy. CoRR (2019)
Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
A Review of Inference Algorithms for Hybrid Bayesian Networks. J. Artif. Intell. Res. 62 (2018)
Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. Int. J. Approx. Reason. 100 (2018)
Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
Bayesian Models of Data Streams with Hierarchical Power Priors. ICML (2017)
Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
A parallel algorithm for Bayesian network structure learning from large data sets. Knowl. Based Syst. 117 (2017)
Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
MAP inference in dynamic hybrid Bayesian networks. Prog. Artif. Intell. 6 (2) (2017)
Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
Scaling up Bayesian variational inference using distributed computing clusters. Int. J. Approx. Reason. 88 (2017)
Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
Bayesian Models of Data Streams with Hierarchical Power Priors. CoRR (2017)
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning. CoRR (2017)
Ana D. Maldonado, Pedro Aguilera Aguilera, Antonio Salmerón
Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction. Environ. Model. Softw. 82 (2016)
Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Probabilistic Graphical Models (2016)
Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. ECAI (2016)
Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
d-VMP: Distributed Variational Message Passing. Probabilistic Graphical Models (2016)
Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
Financial Data Analysis with PGMs Using AMIDST. ICDM Workshops (2016)
Inmaculada Pérez-Bernabé, Antonio Fernández, Rafael Rumí, Antonio Salmerón
Parameter learning in hybrid Bayesian networks using prior knowledge. Data Min. Knowl. Discov. 30 (3) (2016)
Inmaculada Pérez-Bernabé, Antonio Salmerón, Helge Langseth
Learning Conditional Distributions Using Mixtures of Truncated Basis Functions. ECSQARU (2015)
Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón
Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals. Int. J. Intell. Syst. 30 (3) (2015)
Ana D. Maldonado, Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí, Antonio Salmerón
Estimation of Species Richness Using Bayesian Networks. CAEPIA (2015)
Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. IDA (2015)
Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
Parallelisation of the PC Algorithm. CAEPIA (2015)
Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
Parallel Importance Sampling in Conditional Linear Gaussian Networks. CAEPIA (2015)
Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
MPE Inference in Conditional Linear Gaussian Networks. ECSQARU (2015)
Ana D. Maldonado, Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí, Antonio Salmerón
Continuous Bayesian networks for the estimation of species richness. Prog. Artif. Intell. 4 (3-4) (2015)
Concha Bielza, Serafín Moral, Antonio Salmerón
Recent Advances in Probabilistic Graphical Models. Int. J. Intell. Syst. 30 (3) (2015)
Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
Dynamic Bayesian modeling for risk prediction in credit operations. SCAI (2015)
Thomas D. Nielsen, Sigve Hovda, Antonio Fernández, Helge Langseth, Anders L. Madsen, Andrés R. Masegosa, Antonio Salmerón
Requirement Engineering for a Small Project with Pre-Specified Scope. NIK (2014)
Anders L. Madsen, Frank Jensen, Antonio Salmerón, Martin Karlsen, Helge Langseth, Thomas D. Nielsen
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. Probabilistic Graphical Models (2014)
Helge Langseth, Thomas D. Nielsen, Inmaculada Pérez-Bernabé, Antonio Salmerón
Learning mixtures of truncated basis functions from data. Int. J. Approx. Reason. 55 (4) (2014)
Jens Dalgaard Nielsen, Antonio Salmerón, José A. Gámez
A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination. Int. J. Approx. Reason. 55 (1) (2014)
Antonio Fernández, Rafael Rumí, José del Sagrado, Antonio Salmerón
Supervised Classification Using Hybrid Probabilistic Decision Graphs. Probabilistic Graphical Models (2014)
Antonio Fernández, José A. Gámez, Rafael Rumí, Antonio Salmerón
Data clustering using hidden variables in hybrid Bayesian networks. Prog. Artif. Intell. 2 (2-3) (2014)
Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón
Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. Int. J. Intell. Syst. 28 (7) (2013)
Antonio Fernández, Inmaculada Pérez-Bernabé, Rafael Rumí, Antonio Salmerón
Incorporating Prior Knowledge when Learning Mixtures of Truncated Basis Functions from Data. SCAI (2013)
Barry R. Cobb, Rafael Rumí, Antonio Salmerón
Inventory management with log-normal demand per unit time. Comput. Oper. Res. 40 (7) (2013)
Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora Beatriz Pérez-Ariza, Antonio Salmerón
Learning Recursive Probability Trees from Data. CAEPIA (2013)
Antonio Fernández, Inmaculada Pérez-Bernabé, Antonio Salmerón
On Using the PC Algorithm for Learning Continuous Bayesian Networks: An Experimental Analysis. CAEPIA (2013)
Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
New strategies for finding multiplicative decompositions of probability trees. Appl. Math. Comput. 225 (2013)
Jens Dalgaard Nielsen, José A. Gámez, Antonio Salmerón
Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs. Int. J. Approx. Reason. 53 (7) (2012)
Enrique de Amo, Manuel Díaz Carrillo, Juan Fernández-Sánchez, Antonio Salmerón
Moments and associated measures of copulas with fractal support. Appl. Math. Comput. 218 (17) (2012)
Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón
Learning recursive probability trees from probabilistic potentials. Int. J. Approx. Reason. 53 (9) (2012)
Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón
Fast Factorisation of Probabilistic Potentials and its Application to Approximate Inference in Bayesian Networks. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 20 (2) (2012)
Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
Mixtures of truncated basis functions. Int. J. Approx. Reason. 53 (2) (2012)
Antonio Fernández, Rafael Rumí, Antonio Salmerón
Answering queries in hybrid Bayesian networks using importance sampling. Decis. Support Syst. 53 (3) (2012)
Antonio Fernández, María Morales, Carmelo Rodríguez, Antonio Salmerón
A system for relevance analysis of performance indicators in higher education using Bayesian networks. Knowl. Inf. Syst. 27 (3) (2011)
M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón
Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers. ISDA (2011)
Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón
Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals. ISDA (2011)
Pedro Aguilera Aguilera, Antonio Fernández, Rosa Fernández, Rafael Rumí, Antonio Salmerón
Bayesian networks in environmental modelling. Environ. Model. Softw. 26 (12) (2011)
Antonio Fernández, Jens Dalgaard Nielsen, Antonio Salmerón
Learning Bayesian Networks for Regression from Incomplete Databases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 18 (1) (2010)
Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón
Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning. SMPS (2010)
Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
Parameter estimation and model selection for mixtures of truncated exponentials. Int. J. Approx. Reason. 51 (5) (2010)
Irene Martínez, Carmelo Rodríguez, Antonio Salmerón
Probability Tree Factorisation with Median Free Term. SMPS (2010)
Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón
Structural-EM for learning PDG models from incomplete data. Int. J. Approx. Reason. 51 (5) (2010)
Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
Maximum Likelihood Learning of Conditional MTE Distributions. ECSQARU (2009)
Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
Inference in hybrid Bayesian networks. Reliab. Eng. Syst. Saf. 94 (10) (2009)
Barry R. Cobb, Rafael Rumí, Antonio Salmerón
Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials. ECSQARU (2009)
Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón
Supervised classification using probabilistic decision graphs. Comput. Stat. Data Anal. 53 (4) (2009)
Antonio Fernández, Antonio Salmerón
BayesChess: A computer chess program based on Bayesian networks. Pattern Recognit. Lett. 29 (8) (2008)
Antonio Fernández, Antonio Salmerón
Extension of Bayesian Network Classifiers to Regression Problems. IBERAMIA (2008)
Antonio Fernández, María Morales, Antonio Salmerón
Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management. IDA (2007)
María Morales, Carmelo Rodríguez, Antonio Salmerón
Selective Naive Bayes for Regression Based on Mixtures of Truncated Exponentials. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15 (6) (2007)
Rafael Rumí, Antonio Salmerón
Approximate probability propagation with mixtures of truncated exponentials. Int. J. Approx. Reason. 45 (2) (2007)
Irene Martínez, Carmelo Rodríguez, Antonio Salmerón
Dynamic importance sampling in Bayesian networks using factorisation of probability trees. Probabilistic Graphical Models (2006)
José A. Gámez, Rafael Rumí, Antonio Salmerón
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. Probabilistic Graphical Models (2006)
Vanessa Romero, Rafael Rumí, Antonio Salmerón
Learning hybrid Bayesian networks using mixtures of truncated exponentials. Int. J. Approx. Reason. 42 (1-2) (2006)
Peter J. F. Lucas, José A. Gámez, Antonio Salmerón
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. Int. J. Approx. Reason. 42 (1-2) (2006)
Rafael Rumí, Antonio Salmerón
Penniless Propagation with Mixtures of Truncated Exponentials. ECSQARU (2005)
Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
Approximate Factorisation of Probability Trees. ECSQARU (2005)
Barry R. Cobb, Rafael Rumí, Antonio Salmerón
Modeling Conditional Distributions of Continuous Variables in Bayesian Networks. IDA (2005)
Serafín Moral, Antonio Salmerón
Dynamic importance sampling in Bayesian networks based on probability trees. Int. J. Approx. Reason. 38 (3) (2005)
José A. Gámez, Antonio Salmerón
Probabilistic graphical models. Int. J. Intell. Syst. 18 (2) (2003)
Serafín Moral, Rafael Rumí, Antonio Salmerón
Approximating Conditional MTE Distributions by Means of Mixed Trees. ECSQARU (2003)
Andrés Cano, Serafín Moral, Antonio Salmerón
Novel strategies to approximate probability trees in penniless propagation. Int. J. Intell. Syst. 18 (2) (2003)
José del Sagrado, Antonio Salmerón
Representing Canonical Models as Probability Trees. CAEPIA (2003)
Serafín Moral, Antonio Salmerón
Dynamic Importance Sampling Computation in Bayesian Networks. ECSQARU (2003)
Serafín Moral, Rafael Rumí, Antonio Salmerón
Estimating Mixtures of Truncated Exponentials from Data. Probabilistic Graphical Models (2002)
Andrés Cano, Serafín Moral, Antonio Salmerón
Different strategies to approximate probability trees in penniless propagation. Inteligencia Artif. 6 (15) (2002)
Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
Factorisation of Probability Trees and its Application to Inference in Bayesian Networks. Probabilistic Graphical Models (2002)
Andrés Cano, Serafín Moral, Antonio Salmerón
Lazy evaluation in penniless propagation over join trees. Networks 39 (4) (2002)
Antonio Salmerón, Serafín Moral
Importance Sampling in Bayesian Networks Using Antithetic Variables. ECSQARU (2001)
Serafín Moral, Rafael Rumí, Antonio Salmerón
Mixtures of Truncated Exponentials in Hybrid Bayesian Networks. ECSQARU (2001)
Andrés Cano, Serafín Moral, Antonio Salmerón
Penniless propagation in join trees. Int. J. Intell. Syst. 15 (11) (2000)
Fernando Reche, Antonio Salmerón
Operational Approach to General Fuzzy Measures. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8 (3) (2000)
Fernando Reche, Antonio Salmerón
Towards an Operational Interpretation of Fuzzy Measures. ISIPTA (1999)
Serafín Moral, Antonio Salmerón
A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation. ESCQARU (1999)
Luis D. Hernández, Serafín Moral, Antonio Salmerón
A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. Int. J. Approx. Reason. 18 (1-2) (1998)

Antonio Salmerón.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Antonio Salmerón