Antonio Salmerón

109 papers A* 1A 1B 3C 13Journal 62Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian networks for causal analysis in socioecological systems. Ecol. Informatics Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón
2025	J	`jnl`	Causal computations in Semi Markovian Structural Causal Models using divide and conquer. CoRR Anna Rodum Bjøru, Rafael Cabañas, Helge Langseth, Antonio Salmerón
2025	J	`jnl`	Divide and conquer for causal computation. Int. J. Approx. Reason. Anna Rodum Bjøru, Rafael Cabañas, Helge Langseth, Antonio Salmerón
2025	C	`conf`	Noise-Robust Weighted Logistic Regression Based on Outlier Detection with Expectation Maximization. ECSQARU Serafín Moral-García, Rafael Cabañas, Antonio Salmerón
2024	—	`conf`	A Divide and Conquer Approach for Solving Structural Causal Models. PGM Anna Rodum Bjøru, Rafael Cabañas, Helge Langseth, Antonio Salmerón
2024	J	`jnl`	Counterfactual Reasoning with Probabilistic Graphical Models for Analyzing Socioecological Systems. CoRR Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón
2024	J	`jnl`	How do Machine Learning Models Change? CoRR Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández
2023	J	`jnl`	Bayesian Network analysis of software logs for data-driven software maintenance. IET Softw. Santiago del Rey, Silverio Martínez-Fernández, Antonio Salmerón
2022	—	`conf`	A Reparameterization of Mixtures of Truncated Basis Functions and its Applications. PGM Antonio Salmerón, Helge Langseth, Andrés R. Masegosa, Thomas D. Nielsen
2022	—	`ed.`	International Conference on Probabilistic Graphical Models, PGM 2022, 5-7 October 2022, Almería, Spain. PGM Antonio Salmerón, Rafael Rumí
2021	J	`jnl`	Probabilistic Models with Deep Neural Networks. Entropy Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
2020	J	`jnl`	Analyzing Uncertainty in Complex Socio-Ecological Networks. Entropy Ana D. Maldonado, María Morales, Pedro Aguilera Aguilera, Antonio Salmerón
2020	J	`jnl`	Analyzing concept drift: A case study in the financial sector. Intell. Data Anal. Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
2020	J	`jnl`	Comparing two multinomial samples using hierarchical Bayesian models. Prog. Artif. Intell. Andrés R. Masegosa, Antonio Torres, María Morales, Antonio Salmerón
2020	J	`jnl`	InferPy: Probabilistic modeling with deep neural networks made easy. Neurocomputing Javier Cózar, Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
2020	J	`jnl`	MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions. R J. Inmaculada Pérez-Bernabé, Ana D. Maldonado, Antonio Salmerón, Thomas D. Nielsen
2020	—	`conf`	Probabilistic Graphical Models with Neural Networks in InferPy. PGM Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa
2019	J	`jnl`	A survey on Bayesian network structure learning from data. Prog. Artif. Intell. Mauro Scanagatta, Antonio Salmerón, Fabio Stella
2019	J	`jnl`	AMIDST: A Java toolbox for scalable probabilistic machine learning. Knowl. Based Syst. Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2019	J	`jnl`	InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy. CoRR Javier Cózar, Rafael Cabañas, Andrés R. Masegosa, Antonio Salmerón
2019	J	`jnl`	InferPy: Probabilistic modeling with Tensorflow made easy. Knowl. Based Syst. Rafael Cabañas, Antonio Salmerón, Andrés R. Masegosa
2019	J	`jnl`	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. Ana D. Maldonado, Laura Uusitalo, Allan Tucker, Thorsten Blenckner, Pedro Aguilera Aguilera, Antonio Salmerón
2019	J	`jnl`	Probabilistic Models with Deep Neural Networks. CoRR Andrés R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
2018	J	`jnl`	A Review of Inference Algorithms for Hybrid Bayesian Networks. J. Artif. Intell. Res. Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2018	J	`jnl`	Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. Int. J. Approx. Reason. Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2017	J	`jnl`	A parallel algorithm for Bayesian network structure learning from large data sets. Knowl. Based Syst. Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
2017	J	`jnl`	AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning. CoRR Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2017	A*	`conf`	Bayesian Models of Data Streams with Hierarchical Power Priors. ICML Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
2017	J	`jnl`	Bayesian Models of Data Streams with Hierarchical Power Priors. CoRR Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
2017	J	`jnl`	MAP inference in dynamic hybrid Bayesian networks. Prog. Artif. Intell. Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2017	J	`jnl`	Scaling up Bayesian variational inference using distributed computing clusters. Int. J. Approx. Reason. Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
2016	—	`conf`	Financial Data Analysis with PGMs Using AMIDST. ICDM Workshops Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2016	J	`jnl`	Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction. Environ. Model. Softw. Ana D. Maldonado, Pedro Aguilera Aguilera, Antonio Salmerón
2016	A	`conf`	Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. ECAI Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa
2016	J	`jnl`	Parameter learning in hybrid Bayesian networks using prior knowledge. Data Min. Knowl. Discov. Inmaculada Pérez-Bernabé, Antonio Fernández, Rafael Rumí, Antonio Salmerón
2016	—	`conf`	Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Probabilistic Graphical Models Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen
2016	—	`conf`	d-VMP: Distributed Variational Message Passing. Probabilistic Graphical Models Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
2015	J	`jnl`	Continuous Bayesian networks for the estimation of species richness. Prog. Artif. Intell. Ana D. Maldonado, Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí, Antonio Salmerón
2015	—	`conf`	Dynamic Bayesian modeling for risk prediction in credit operations. SCAI Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
2015	—	`conf`	Estimation of Species Richness Using Bayesian Networks. CAEPIA Ana D. Maldonado, Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí, Antonio Salmerón
2015	C	`conf`	Learning Conditional Distributions Using Mixtures of Truncated Basis Functions. ECSQARU Inmaculada Pérez-Bernabé, Antonio Salmerón, Helge Langseth
2015	C	`conf`	MPE Inference in Conditional Linear Gaussian Networks. ECSQARU Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
2015	B	`conf`	Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. IDA Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez
2015	—	`conf`	Parallel Importance Sampling in Conditional Linear Gaussian Networks. CAEPIA Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen
2015	—	`conf`	Parallelisation of the PC Algorithm. CAEPIA Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen
2015	J	`jnl`	Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals. Int. J. Intell. Syst. Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón
2015	J	`jnl`	Recent Advances in Probabilistic Graphical Models. Int. J. Intell. Syst. Concha Bielza, Serafín Moral, Antonio Salmerón
2014	—	`conf`	A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. Probabilistic Graphical Models Anders L. Madsen, Frank Jensen, Antonio Salmerón, Martin Karlsen, Helge Langseth, Thomas D. Nielsen
2014	J	`jnl`	A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination. Int. J. Approx. Reason. Jens Dalgaard Nielsen, Antonio Salmerón, José A. Gámez
2014	J	`jnl`	Data clustering using hidden variables in hybrid Bayesian networks. Prog. Artif. Intell. Antonio Fernández, José A. Gámez, Rafael Rumí, Antonio Salmerón
2014	J	`jnl`	Learning mixtures of truncated basis functions from data. Int. J. Approx. Reason. Helge Langseth, Thomas D. Nielsen, Inmaculada Pérez-Bernabé, Antonio Salmerón
2014	—	`conf`	Requirement Engineering for a Small Project with Pre-Specified Scope. NIK Thomas D. Nielsen, Sigve Hovda, Antonio Fernández, Helge Langseth, Anders L. Madsen, Andrés R. Masegosa, Antonio Salmerón
2014	—	`conf`	Supervised Classification Using Hybrid Probabilistic Decision Graphs. Probabilistic Graphical Models Antonio Fernández, Rafael Rumí, José del Sagrado, Antonio Salmerón
2013	—	`ed.`	Advances in Artificial Intelligence - 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings CAEPIA Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, José Ignacio Hidalgo, Luis Martínez-López, Alicia Troncoso Lora, Emilio Corchado, Juan M. Corchado
2013	—	`conf`	Incorporating Prior Knowledge when Learning Mixtures of Truncated Basis Functions from Data. SCAI Antonio Fernández, Inmaculada Pérez-Bernabé, Rafael Rumí, Antonio Salmerón
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	J	`jnl`	Inventory management with log-normal demand per unit time. Comput. Oper. Res. Barry R. Cobb, Rafael Rumí, 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`	New strategies for finding multiplicative decompositions of probability trees. Appl. Math. Comput. Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
2013	—	`conf`	On Using the PC Algorithm for Learning Continuous Bayesian Networks: An Experimental Analysis. CAEPIA Antonio Fernández, Inmaculada Pérez-Bernabé, Antonio Salmerón
2012	J	`jnl`	Answering queries in hybrid Bayesian networks using importance sampling. Decis. Support Syst. Antonio Fernández, Rafael Rumí, Antonio Salmerón
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
2012	J	`jnl`	Mixtures of truncated basis functions. Int. J. Approx. Reason. Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
2012	J	`jnl`	Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs. Int. J. Approx. Reason. Jens Dalgaard Nielsen, José A. Gámez, Antonio Salmerón
2012	J	`jnl`	Moments and associated measures of copulas with fractal support. Appl. Math. Comput. Enrique de Amo, Manuel Díaz Carrillo, Juan Fernández-Sánchez, Antonio Salmerón
2011	J	`jnl`	A system for relevance analysis of performance indicators in higher education using Bayesian networks. Knowl. Inf. Syst. Antonio Fernández, María Morales, Carmelo Rodríguez, Antonio Salmerón
2011	J	`jnl`	Bayesian networks in environmental modelling. Environ. Model. Softw. Pedro Aguilera Aguilera, Antonio Fernández, Rosa Fernández, Rafael Rumí, Antonio Salmerón
2011	C	`conf`	Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers. ISDA M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón
2011	C	`conf`	Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals. ISDA Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón
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
2010	J	`jnl`	Learning Bayesian Networks for Regression from Incomplete Databases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Antonio Fernández, Jens Dalgaard Nielsen, Antonio Salmerón
2010	J	`jnl`	Parameter estimation and model selection for mixtures of truncated exponentials. Int. J. Approx. Reason. Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
2010	—	`conf`	Probability Tree Factorisation with Median Free Term. SMPS Irene Martínez, Carmelo Rodríguez, Antonio Salmerón
2010	J	`jnl`	Structural-EM for learning PDG models from incomplete data. Int. J. Approx. Reason. Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón
2009	J	`jnl`	Inference in hybrid Bayesian networks. Reliab. Eng. Syst. Saf. Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
2009	C	`conf`	Maximum Likelihood Learning of Conditional MTE Distributions. ECSQARU Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
2009	C	`conf`	Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials. ECSQARU Barry R. Cobb, Rafael Rumí, Antonio Salmerón
2009	J	`jnl`	Supervised classification using probabilistic decision graphs. Comput. Stat. Data Anal. Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón
2008	J	`jnl`	BayesChess: A computer chess program based on Bayesian networks. Pattern Recognit. Lett. Antonio Fernández, Antonio Salmerón
2008	—	`conf`	Extension of Bayesian Network Classifiers to Regression Problems. IBERAMIA Antonio Fernández, Antonio Salmerón
2007	J	`jnl`	Approximate probability propagation with mixtures of truncated exponentials. Int. J. Approx. Reason. Rafael Rumí, Antonio Salmerón
2007	J	`jnl`	Selective Naive Bayes for Regression Based on Mixtures of Truncated Exponentials. Int. J. Uncertain. Fuzziness Knowl. Based Syst. María Morales, Carmelo Rodríguez, Antonio Salmerón
2007	B	`conf`	Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management. IDA Antonio Fernández, María Morales, Antonio Salmerón
2006	—	`conf`	Dynamic importance sampling in Bayesian networks using factorisation of probability trees. Probabilistic Graphical Models Irene Martínez, Carmelo Rodríguez, Antonio Salmerón
2006	J	`jnl`	Learning hybrid Bayesian networks using mixtures of truncated exponentials. Int. J. Approx. Reason. Vanessa Romero, Rafael Rumí, Antonio Salmerón
2006	J	`jnl`	Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. Int. J. Approx. Reason. Peter J. F. Lucas, José A. Gámez, Antonio Salmerón
2006	—	`conf`	Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. Probabilistic Graphical Models José A. Gámez, Rafael Rumí, Antonio Salmerón
2005	C	`conf`	Approximate Factorisation of Probability Trees. ECSQARU Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
2005	J	`jnl`	Dynamic importance sampling in Bayesian networks based on probability trees. Int. J. Approx. Reason. Serafín Moral, Antonio Salmerón
2005	B	`conf`	Modeling Conditional Distributions of Continuous Variables in Bayesian Networks. IDA Barry R. Cobb, Rafael Rumí, Antonio Salmerón
2005	C	`conf`	Penniless Propagation with Mixtures of Truncated Exponentials. ECSQARU Rafael Rumí, Antonio Salmerón
2003	C	`conf`	Approximating Conditional MTE Distributions by Means of Mixed Trees. ECSQARU Serafín Moral, Rafael Rumí, Antonio Salmerón
2003	C	`conf`	Dynamic Importance Sampling Computation in Bayesian Networks. ECSQARU Serafín Moral, Antonio Salmerón
2003	J	`jnl`	Novel strategies to approximate probability trees in penniless propagation. Int. J. Intell. Syst. Andrés Cano, Serafín Moral, Antonio Salmerón
2003	J	`jnl`	Probabilistic graphical models. Int. J. Intell. Syst. José A. Gámez, Antonio Salmerón
2003	—	`conf`	Representing Canonical Models as Probability Trees. CAEPIA José del Sagrado, Antonio Salmerón
2002	J	`jnl`	Different strategies to approximate probability trees in penniless propagation. Inteligencia Artif. Andrés Cano, Serafín Moral, Antonio Salmerón
2002	—	`conf`	Estimating Mixtures of Truncated Exponentials from Data. Probabilistic Graphical Models Serafín Moral, Rafael Rumí, Antonio Salmerón
2002	—	`conf`	Factorisation of Probability Trees and its Application to Inference in Bayesian Networks. Probabilistic Graphical Models Irene Martínez, Serafín Moral, Carmelo Rodríguez, Antonio Salmerón
2002	—	`ed.`	First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002 - Cuenca (Spain), Electronic Proceedings Probabilistic Graphical Models José A. Gámez, Antonio Salmerón
2002	J	`jnl`	Lazy evaluation in penniless propagation over join trees. Networks Andrés Cano, Serafín Moral, Antonio Salmerón
2001	C	`conf`	Importance Sampling in Bayesian Networks Using Antithetic Variables. ECSQARU Antonio Salmerón, Serafín Moral
2001	C	`conf`	Mixtures of Truncated Exponentials in Hybrid Bayesian Networks. ECSQARU Serafín Moral, Rafael Rumí, Antonio Salmerón
2000	J	`jnl`	Operational Approach to General Fuzzy Measures. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Fernando Reche, Antonio Salmerón
2000	J	`jnl`	Penniless propagation in join trees. Int. J. Intell. Syst. Andrés Cano, Serafín Moral, Antonio Salmerón
1999	—	`conf`	A Monte Carlo Algorithm for Combining Dempster-Shafer Belief Based on Approximate Pre-computation. ESCQARU Serafín Moral, Antonio Salmerón
1999	—	`conf`	Towards an Operational Interpretation of Fuzzy Measures. ISIPTA Fernando Reche, Antonio Salmerón
1998	J	`jnl`	A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. Int. J. Approx. Reason. Luis D. Hernández, Serafín Moral, Antonio Salmerón