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Rafael Rumí
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2020 – today
- 2022
- [e1]Antonio Salmerón, Rafael Rumí:
International Conference on Probabilistic Graphical Models, PGM 2022, 5-7 October 2022, Almería, Spain. Proceedings of Machine Learning Research 186, PMLR 2022 [contents]
2010 – 2019
- 2018
- [j20]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: 115-134 (2018) - [j19]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: 799-828 (2018) - 2016
- [j18]Inmaculada Pérez-Bernabé, Antonio Fernández, Rafael Rumí, Antonio Salmerón:
Parameter learning in hybrid Bayesian networks using prior knowledge. Data Min. Knowl. Discov. 30(3): 576-604 (2016) - [j17]Rosa F. Ropero, Rafael Rumí, Pedro Aguilera Aguilera:
Modelling uncertainty in social-natural interactions. Environ. Model. Softw. 75: 362-372 (2016) - [c16]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: 415-425 - 2015
- [j16]Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón:
Practical Aspects of Solving Hybrid Bayesian Networks Containing Deterministic Conditionals. Int. J. Intell. Syst. 30(3): 265-291 (2015) - [j15]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): 49-57 (2015) - [c15]Ana D. Maldonado, Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí, Antonio Salmerón:
Estimation of Species Richness Using Bayesian Networks. CAEPIA 2015: 153-163 - [c14]Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen:
MPE Inference in Conditional Linear Gaussian Networks. ECSQARU 2015: 407-416 - [c13]Julián Luengo, Rafael Rumí:
Naive Bayes Classifier with Mixtures of Polynomials. ICPRAM (1) 2015: 14-24 - 2014
- [j14]Rosa F. Ropero, Pedro Aguilera Aguilera, Antonio Fernández, Rafael Rumí:
Regression using hybrid Bayesian networks: Modelling landscape-socioeconomy relationships. Environ. Model. Softw. 57: 127-137 (2014) - [j13]Antonio Fernández, José A. Gámez, Rafael Rumí, Antonio Salmerón:
Data clustering using hidden variables in hybrid Bayesian networks. Prog. Artif. Intell. 2(2-3): 141-152 (2014) - [c12]Rosa F. Ropero, Pedro Aguilera Aguilera, Rafael Rumí:
Soft Clustering Based on Hybrid Bayesian Networks in Socioecological Cartography. HAIS 2014: 607-617 - [c11]Antonio Fernández, Rafael Rumí, José del Sagrado, Antonio Salmerón:
Supervised Classification Using Hybrid Probabilistic Decision Graphs. Probabilistic Graphical Models 2014: 206-221 - 2013
- [j12]Barry R. Cobb, Rafael Rumí, Antonio Salmerón:
Inventory management with log-normal demand per unit time. Comput. Oper. Res. 40(7): 1842-1851 (2013) - [c10]Antonio Fernández, Inmaculada Pérez-Bernabé, Rafael Rumí, Antonio Salmerón:
Incorporating Prior Knowledge when Learning Mixtures of Truncated Basis Functions from Data. SCAI 2013: 95-104 - 2012
- [j11]Antonio Fernández, Rafael Rumí, Antonio Salmerón:
Answering queries in hybrid Bayesian networks using importance sampling. Decis. Support Syst. 53(3): 580-590 (2012) - [j10]Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón:
Mixtures of truncated basis functions. Int. J. Approx. Reason. 53(2): 212-227 (2012) - 2011
- [j9]Pedro Aguilera Aguilera, Antonio Fernández, Rosa Fernández, Rafael Rumí, Antonio Salmerón:
Bayesian networks in environmental modelling. Environ. Model. Softw. 26(12): 1376-1388 (2011) - [c9]Prakash P. Shenoy, Rafael Rumí, Antonio Salmerón:
Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals. ISDA 2011: 605-610 - 2010
- [j8]Pedro Aguilera Aguilera, Antonio Fernández, Fernando Reche, Rafael Rumí:
Hybrid Bayesian network classifiers: Application to species distribution models. Environ. Model. Softw. 25(12): 1630-1639 (2010) - [j7]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): 485-498 (2010) - [j6]Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón:
Structural-EM for learning PDG models from incomplete data. Int. J. Approx. Reason. 51(5): 515-530 (2010)
2000 – 2009
- 2009
- [j5]Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón:
Supervised classification using probabilistic decision graphs. Comput. Stat. Data Anal. 53(4): 1299-1311 (2009) - [j4]Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón:
Inference in hybrid Bayesian networks. Reliab. Eng. Syst. Saf. 94(10): 1499-1509 (2009) - [c8]Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón:
Maximum Likelihood Learning of Conditional MTE Distributions. ECSQARU 2009: 240-251 - [c7]Barry R. Cobb, Rafael Rumí, Antonio Salmerón:
Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials. ECSQARU 2009: 781-792 - 2007
- [j3]Rafael Rumí, Antonio Salmerón:
Approximate probability propagation with mixtures of truncated exponentials. Int. J. Approx. Reason. 45(2): 191-210 (2007) - 2006
- [j2]Vanessa Romero, Rafael Rumí, Antonio Salmerón:
Learning hybrid Bayesian networks using mixtures of truncated exponentials. Int. J. Approx. Reason. 42(1-2): 54-68 (2006) - [j1]Barry R. Cobb, Prakash P. Shenoy, Rafael Rumí:
Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. Stat. Comput. 16(3): 293-308 (2006) - [c6]José A. Gámez, Rafael Rumí, Antonio Salmerón:
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. Probabilistic Graphical Models 2006: 123-130 - 2005
- [c5]Rafael Rumí, Antonio Salmerón:
Penniless Propagation with Mixtures of Truncated Exponentials. ECSQARU 2005: 39-50 - [c4]Barry R. Cobb, Rafael Rumí, Antonio Salmerón:
Modeling Conditional Distributions of Continuous Variables in Bayesian Networks. IDA 2005: 36-45 - 2003
- [c3]Serafín Moral, Rafael Rumí, Antonio Salmerón:
Approximating Conditional MTE Distributions by Means of Mixed Trees. ECSQARU 2003: 173-183 - 2002
- [c2]Serafín Moral, Rafael Rumí, Antonio Salmerón:
Estimating Mixtures of Truncated Exponentials from Data. Probabilistic Graphical Models 2002 - 2001
- [c1]Serafín Moral, Rafael Rumí, Antonio Salmerón:
Mixtures of Truncated Exponentials in Hybrid Bayesian Networks. ECSQARU 2001: 156-167
Coauthor Index
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