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Scopus Author ID: 6701550565
ResearcherID: K-3307-2015

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Spain

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Universidad de Almería: Almería, Andalucía, ES

Catedrático de Universidad (Matemáticas)
Employment
Source: Self-asserted source
Antonio Salmerón Cerdán

Works (50 of 96)

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Page 1 of 2

Plastid DNA is a major source of nuclear genome complexity and of RNA genes in the orphan crop moringa

BMC Plant Biology
2024-05-22 | Journal article
DOI: 10.1186/s12870-024-05158-6
Contributors: Juan Pablo Marczuk-Rojas; Antonio Salmerón; Alfredo Alcayde; Viktor Isanbaev; Lorenzo Carretero-Paulet
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Spatial and temporal characterization of the rich fraction of plastid DNA present in the nuclear genome of Moringa oleifera reveals unanticipated complexity in NUPTs´ formation

BMC Genomics
2024-01-15 | Journal article
DOI: 10.1186/s12864-024-09979-5
Contributors: Juan Pablo Marczuk-Rojas; Angélica María Álamo-Sierra; Antonio Salmerón; Alfredo Alcayde; Viktor Isanbaev; Lorenzo Carretero-Paulet
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Bayesian Network analysis of software logs for data‐driven software maintenance

IET Software
2023-06 | Journal article
DOI: 10.1049/sfw2.12121
Contributors: Santiago del Rey; Silverio Martínez‐Fernández; Antonio Salmerón
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Spatial and temporal characterization of the rich fraction of plastid DNA present in the nuclear genome ofMoringa oleiferareveals unanticipated complexity in NUPTś formation

2023-06-02 | Preprint
DOI: 10.1101/2023.05.31.542793
Contributors: Juan Pablo Marczuk-Rojas; Angélica María Álamo-Sierra; Antonio Salmerón; Alfredo Alcayde; Viktor Isanbaev; Lorenzo Carretero-Paulet
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An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

Mathematics
2022-10-27 | Journal article
DOI: 10.3390/math10213994
Contributors: María Morales; Antonio Salmerón; Ana D. Maldonado; Andrés R. Masegosa; Rafael Rumí
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Comments on: Hybrid semiparametric Bayesian networks

TEST
2022-06 | Journal article
DOI: 10.1007/s11749-022-00818-x
Contributors: Antonio Salmerón
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A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks

Agronomy
2021-04-10 | Journal article
DOI: 10.3390/agronomy11040740
Contributors: Rosa F. Ropero; Ana D. Maldonado; Laura Uusitalo; Antonio Salmerón; Rafael Rumí; Pedro A. Aguilera
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Probabilistic Models with Deep Neural Networks

Entropy
2021-01-18 | Journal article
DOI: 10.3390/e23010117
Contributors: Andrés R. Masegosa; Rafael Cabañas; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón
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InferPy: Probabilistic modeling with deep neural networks made easy

Neurocomputing
2020-11 | Journal article
DOI: 10.1016/j.neucom.2020.07.117
Part of ISSN: 0925-2312
Source: Self-asserted source
Antonio Salmerón Cerdán

Statistical Parameters Based on Fuzzy Measures

Mathematics
2020-11-12 | Journal article
DOI: 10.3390/math8112015
Contributors: Fernando Reche; María Morales; Antonio Salmerón
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grade
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Variational Inference over Nonstationary Data Streams for Exponential Family Models

Mathematics
2020-11-03 | Journal article
DOI: 10.3390/math8111942
Contributors: Andrés R. Masegosa; Darío Ramos-López; Antonio Salmerón; Helge Langseth; Thomas D. Nielsen
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grade
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Construction of Fuzzy Measures over Product Spaces

Mathematics
2020-09-17 | Journal article
DOI: 10.3390/math8091605
Contributors: Fernando Reche; María Morales; Antonio Salmerón
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grade
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Comparing two multinomial samples using hierarchical Bayesian models

Progress in Artificial Intelligence
2020-06-06 | Journal article
DOI: 10.1007/s13748-019-00202-1
Contributors: A. R. Masegosa; A. Torres; M. Morales; A. Salmerón
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Analyzing Uncertainty in Complex Socio-Ecological Networks

Entropy
2020-01-19 | Journal article
DOI: 10.3390/e22010123
Contributors: Ana D. Maldonado; María Morales; Pedro A. Aguilera; Antonio Salmerón
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Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models

Environmental Modelling & Software
2019-08 | Journal article
DOI: 10.1016/j.envsoft.2019.04.011
Contributors: A.D. Maldonado; L. Uusitalo; A. Tucker; T. Blenckner; P.A. Aguilera; A. Salmerón
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InferPy: Probabilistic modeling with Tensorflow made easy

Knowledge-Based Systems
2019-03 | Journal article
DOI: 10.1016/j.knosys.2018.12.030
Part of ISSN: 0950-7051
Source: Self-asserted source
Antonio Salmerón Cerdán

AMIDST: A Java toolbox for scalable probabilistic machine learning

Knowledge-Based Systems
2019-01 | Journal article
DOI: 10.1016/j.knosys.2018.09.019
Part of ISSN: 0950-7051
Source: Self-asserted source
Antonio Salmerón Cerdán

Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes

Ecosystem Services
2018-10 | Journal article
DOI: 10.1016/j.ecoser.2018.04.007
Part of ISSN: 2212-0416
Source: Self-asserted source
Antonio Salmerón Cerdán

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks

International Journal of Approximate Reasoning
2018-09 | Journal article
DOI: 10.1016/j.ijar.2018.06.004
Contributors: Darío Ramos-López; Andrés R. Masegosa; Antonio Salmerón; Rafael Rumí; Helge Langseth; Thomas D. Nielsen; Anders L. Madsen
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A Review of Inference Algorithms for Hybrid Bayesian Networks

Journal of Artificial Intelligence Research
2018-08-30 | Journal article
DOI: 10.1613/jair.1.11228
Part of ISSN: 1076-9757
Source: Self-asserted source
Antonio Salmerón Cerdán

Scaling up Bayesian variational inference using distributed computing clusters

International Journal of Approximate Reasoning
2017-09 | Journal article
DOI: 10.1016/j.ijar.2017.06.010
Contributors: Andrés R. Masegosa; Ana M. Martinez; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón; Darío Ramos-López; Anders L. Madsen
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Crossref

MAP inference in dynamic hybrid Bayesian networks

Progress in Artificial Intelligence
2017-06-27 | Journal article
DOI: 10.1007/s13748-017-0115-7
Contributors: Darío Ramos-López; Andrés R. Masegosa; Ana M. Martínez; Antonio Salmerón; Thomas D. Nielsen; Helge Langseth; Anders L. Madsen
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A parallel algorithm for Bayesian network structure learning from large data sets

Knowledge-Based Systems
2017-02 | Journal article
DOI: 10.1016/j.knosys.2016.07.031
Contributors: Anders L. Madsen; Frank Jensen; Antonio Salmerón; Helge Langseth; Thomas D. Nielsen
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Continuous Bayesian networks for probabilistic environmental risk mapping

Stochastic Environmental Research and Risk Assessment
2016 | Journal article
DOI: 10.1007/s00477-015-1133-2
Source: Self-asserted source
Antonio Salmerón Cerdán

Parameter learning in hybrid Bayesian networks using prior knowledge

Data Mining and Knowledge Discovery
2016 | Journal article
DOI: 10.1007/s10618-015-0429-7
Source: Self-asserted source
Antonio Salmerón Cerdán
grade
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Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction

Environmental Modelling & Software
2016-08 | Journal article
DOI: 10.1016/j.envsoft.2016.04.003
Contributors: A.D. Maldonado; P.A. Aguilera; A. Salmerón
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Crossref

Accurate lead time demand modeling and optimal inventory policies in continuous review systems

International Journal of Production Economics
2015 | Journal article
DOI: http://dx.doi.org/10.1016/j.ijpe.2015.02.017
Source: Self-asserted source
Antonio Salmerón Cerdán

Continuous Bayesian networks for the estimation of species richness

Progress in Artificial Intelligence
2015 | Journal article
DOI: 10.1007/s13748-015-0067-8
Source: Self-asserted source
Antonio Salmerón Cerdán

Continuous Bayesian Networks vs. Other Methods for Regression in Environmental Modelling

Procedia Environmental Sciences
2015 | Journal article
DOI: http://dx.doi.org/10.1016/j.proenv.2015.05.027
Source: Self-asserted source
Antonio Salmerón Cerdán

Practical aspects of solving hybrid Bayesian networks containing deterministic conditionals

2015 | Journal article
DOI: 10.1002/int.21700
EID:

2-s2.0-84921308497
Contributors: Shenoy, P.P.; Rumí, R.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Recent advances in probabilistic graphical models

2015 | Journal article
DOI: 10.1002/int.21697
EID:

2-s2.0-84921032228
Contributors: Bielza, C.; Moral, S.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

A new method for vertical parallelisation of TAN learning based on balanced incomplete block designs

2014 | Book
EID:

2-s2.0-84921520769
Contributors: Madsen, A.L.; Jensen, F.; Salmerón, A.; Karlsen, M.; Langseth, H.; Nielsen, T.D.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

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

2014 | Journal article
DOI: 10.1016/j.ijar.2013.03.010
EID:

2-s2.0-84889601388
Contributors: Nielsen, J.D.; Salmerón, A.; Gámez, J.A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Learning mixtures of truncated basis functions from data

2014 | Journal article
DOI: 10.1016/j.ijar.2013.09.012
EID:

2-s2.0-84896547634
Contributors: Langseth, H.; Nielsen, T.D.; Pérez-Bernabé, I.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Supervised classification using hybrid probabilistic decision graphs

2014 | Book
EID:

2-s2.0-84921357613
Contributors: Fernández, A.; Rumí, R.; del Sagrado, J.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Incorporating prior knowledge when learning mixtures of truncated basis functions from data

2013 | Book
DOI: 10.3233/978-1-61499-330-8-95
EID:

2-s2.0-84894641914
Contributors: Fernández, A.; Pérez-Bernabé, I.; Rumí, R.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Inference in Bayesian networks with recursive probability trees: Data structure definition and operations

2013 | Journal article
DOI: 10.1002/int.21587
EID:

2-s2.0-84877583972
Contributors: Cano, A.; Gõmez-Olmedo, M.; Moral, S.; Pérez-Ariza, C.B.; Salmerõn, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Inventory management with log-normal demand per unit time

2013 | Journal article
DOI: 10.1016/j.cor.2013.01.017
EID:

2-s2.0-84875918576
Contributors: Cobb, B.R.; Rumí, R.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Learning recursive probability trees from data

2013 | Book
DOI: 10.1007/978-3-642-40643-0_34
EID:

2-s2.0-84885081885
Contributors: Cano, A.; Gómez-Olmedo, M.; Moral, S.; Pérez-Ariza, C.B.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

2013 | Book
EID:

2-s2.0-84885028766
Contributors: Bielza, C.; Salmerón, A.; Alonso-Betanzos, A.; Hidalgo, J.I.; Martínez, L.; Troncoso, A.; Corchado, E.; Corchado, J.M.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

New strategies for finding multiplicative decompositions of probability trees

2013 | Journal article
DOI: 10.1016/j.amc.2013.10.023
EID:

2-s2.0-84887031734
Contributors: Martínez, I.; Moral, S.; Rodríguez, C.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

On using the PC algorithm for learning continuous Bayesian networks: An experimental analysis

2013 | Book
DOI: 10.1007/978-3-642-40643-0_35
EID:

2-s2.0-84885050268
Contributors: Fernández, A.; Pérez-Bernabé, I.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Answering queries in hybrid Bayesian networks using importance sampling

2012 | Journal article
DOI: 10.1016/j.dss.2012.03.007
EID:

2-s2.0-84862552848
Contributors: Fernández, A.; Rumí, R.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Approximating the distribution of a sum of log-normal random variables

2012 | Conference paper
EID:

2-s2.0-84874671825
Contributors: Cobb, B.R.; Rumí, R.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Fast factorisation of probabilistic potentials and its application to approximate inference in bayesian networks

2012 | Journal article
DOI: 10.1142/S0218488512500110
EID:

2-s2.0-84859593056
Contributors: Cano, A.; GÓmez-Olmedo, M.; Pérez-Ariza, C.B.; SalmerÓn, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Inference in hybrid Bayesian networks with mixtures of truncated basis functions

2012 | Conference paper
EID:

2-s2.0-84874719450
Contributors: Langseth, H.; Nielsen, T.D.; Rumí, R.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Learning mixtures of truncated basis functions from data

2012 | Conference paper
EID:

2-s2.0-84874671186
Contributors: Langseth, H.; Nielsen, T.D.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Learning recursive probability trees from probabilistic potentials

2012 | Journal article
DOI: 10.1016/j.ijar.2012.06.026
EID:

2-s2.0-84869094494
Contributors: Cano, A.; Gómez-Olmedo, M.; Moral, S.; Pérez-Ariza, C.B.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Mixtures of truncated basis functions

2012 | Journal article
DOI: 10.1016/j.ijar.2011.10.004
EID:

2-s2.0-84855417418
Contributors: Langseth, H.; Nielsen, T.D.; Rumí, R.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier

Modelling and inference with conditional Gaussian probabilistic decision Graphs

2012 | Journal article
DOI: 10.1016/j.ijar.2011.09.005
EID:

2-s2.0-84864439245
Contributors: Nielsen, J.D.; Gámez, J.A.; Salmerón, A.
Source: Self-asserted source
Antonio Salmerón Cerdán via Scopus - Elsevier
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