Masegosa Arredondo, Andrés Ramón Autor
An interactive approach for Bayesian network learning using domain/expert knowledge
- Masegosa A.
- Moral S.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/10/2013
- Cuartil SJR: Q1
- Factor Impacto JCR: 1,977 (2013)
- CiteScore: 7,1 (2020)
- SJR: 1,145 (2013)
- SNIP: 2,189 (2013)
- Impacto JCR a 5 años: 2,072
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Classification with decision trees from a nonparametric predictive inference perspective
- Abellán J.
- Baker R.
- Coolen F.
- Crossman R.
- Masegosa A.
COMPUTATIONAL STATISTICS and DATA ANALYSIS - 1/1/2014
- Cuartil SJR: Q1
- Factor Impacto JCR: 1,4 (2014)
- CiteScore: 2,7 (2020)
- SJR: 1,417 (2014)
- SNIP: 1,514 (2014)
- Impacto JCR a 5 años: 1,51
- Categorías JCR: STATISTICS & PROBABILITY
- Categorías SJR: Applied Mathematics (Q1); Computational Mathematics (Q1); Computational Theory and Mathematics (Q1); Statistics and Probability (Q1)
Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks
- Masegosa A.
- Moral S.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/1/2014
- Cuartil SJR: Q1
- Factor Impacto JCR: 2,451 (2014)
- CiteScore: 7,1 (2020)
- SJR: 1,46 (2014)
- SNIP: 2,845 (2014)
- Impacto JCR a 5 años: 2,51
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Discretization of expression quantitative trait loci in association analysis between genotypes and expression data
- Masegosa A.
- Armañanzas R.
- Abad-Grau M.
- Potenciano V.
- Moral S.
- Larrañaga P.
- Bielza C.
- Matesanz F.
Current Bioinformatics - 1/6/2015
10.2174/157489361002150518123918
- Cuartil SJR: Q3
- Factor Impacto JCR: 0,77 (2015)
- CiteScore: 2,7 (2020)
- SJR: 0,318 (2015)
- SNIP: 0,389 (2015)
- Impacto JCR a 5 años: 0,93
- Categorías JCR: BIOCHEMICAL RESEARCH METHODS
- Categorías SJR: Computational Mathematics (Q3); Biochemistry (Q4); Genetics (Q4); Molecular Biology (Q4)
Learning from incomplete data in Bayesian networks with qualitative influences
- Masegosa A.
- Feelders A.
- Van Der Gaag L.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/2/2016
- Cuartil SJR: Q1
- Factor Impacto JCR: 2,845 (2016)
- CiteScore: 7,1 (2020)
- SJR: 1,275 (2016)
- SNIP: 1,852 (2016)
- Impacto JCR a 5 años: 2,948
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Probabilistic Graphical Models on Multi-Core CPUs Using Java 8
- Masegosa A.
- Martinez A.
- Borchani H.
IEEE Computational Intelligence Magazine - 1/5/2016
- Cuartil SJR: Q1
- Factor Impacto JCR: 6,343 (2016)
- CiteScore: 16,5 (2020)
- SJR: 1,172 (2016)
- SNIP: 3,207 (2016)
- Impacto JCR a 5 años: 4,337
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Artificial Intelligence (Q1); Theoretical Computer Science (Q1)
MAP inference in dynamic hybrid Bayesian networks
- Ramos-López D.
- Masegosa A.
- Martínez A.
- Salmerón A.
- Nielsen T.
- Langseth H.
- Madsen A.
Progress in Artificial Intelligence - 27/06/2017
- Impacto Normalizado por Categoría: 0,228 (2017)
- CiteScore: 3,4 (2020)
- SNIP: 0,943 (2017)
- Categorías SJR: Artificial Intelligence
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Scaling up Bayesian variational inference using distributed computing clusters
- Masegosa A.
- Martinez A.
- Langseth H.
- Nielsen T.
- Salmerón A.
- Ramos-López D.
- Madsen A.
International Journal of Approximate Reasoning - 1/09/2017
- Cuartil JCR: Q2 (2017)
- Cuartil SJR: Q1
- Factor Impacto JCR: 1,766 (2022)
- Impacto Normalizado por Categoría: 0,343 (2017)
- CiteScore: 7,1 (2020)
- SJR: 0,866 (2017)
- SNIP: 1,746 (2017)
- Impacto JCR a 5 años: 2,504
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1); Applied Mathematics (Q2)
- Scopus
- ORCID
- Web of Science
¿Pueden las matemáticas leer un libro?
- Andrés Ramón Masegosa Arredondo
Boletín de la Titulación de Matemáticas de la UAL - 2017
- Dialnet
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks
- Ramos-López D.
- Masegosa A.
- Salmerón A.
- Rumí R.
- Langseth H.
- Nielsen T.
- Madsen A.
International Journal of Approximate Reasoning - 1/09/2018
- Cuartil JCR: Q3 (2018)
- Cuartil SJR: Q2
- Factor Impacto JCR: 1,982 (2022)
- Impacto Normalizado por Categoría: 0,402 (2018)
- CiteScore: 7,1 (2020)
- SJR: 0,606 (2018)
- SNIP: 1,453 (2018)
- Impacto JCR a 5 años: 2,2
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Applied Mathematics (Q2); Artificial Intelligence (Q2); Software (Q2); Theoretical Computer Science (Q2)
- Scopus
- ORCID
- Web of Science
Models of supervised classification. Applications to genomics and information retrieval
- Andrés Ramón Masegosa Arredondo
- Serafín Moral Callejón
- Andrés Cano Utrera
2009
- Dialnet
Classification
- Corani G.
- Abellán J.
- Masegosa A.
- Moral S.
- Zaffalon M.
Introduction to Imprecise Probabilities - 29/8/2014
Virtual subconcept drift detection in discrete data using probabilistic graphical models
- Cabañas R.
- Cano A.
- Gómez-Olmedo M.
- Masegosa A.
- Moral S.
Communications in Computer and Information Science - 1/1/2018
- Cuartil SJR: Q3
- Impacto Normalizado por Categoría: 0,39 (2018)
- CiteScore: 0,8 (2020)
- SJR: 0,168 (2018)
- SNIP: 0,397 (2018)
- Categorías SJR: Computer Science (miscellaneous) (Q3); Mathematics (miscellaneous) (Q4)
- Dialnet
- Scopus
- ORCID
- Web of Science
Un test de dos muestras multinomiales basado en modelos bayesianos jerárquicos
- Andrés Ramón Masegosa Arredondo
- Antonio Torres
- Antonio Salmerón
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España - 2018
- Dialnet
Methods to determine the branching attribute in Bayesian multinets classifiers
- Cano A.
- Castellano J.
- Masegosa A.
- Moral S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2005
- CiteScore: 1,8 (2020)
- SJR: 0,334 (2005)
- SNIP: 0,787 (2005)
Selective gaussian naïve bayes model for Diffuse Large-B-Cell Lymphoma classification: Some improvements in preprocessing and variable elimination
- Cano A.
- Castellano J.
- Masegosa A.
- Moral S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2005
- CiteScore: 1,8 (2020)
- SJR: 0,334 (2005)
- SNIP: 0,787 (2005)
A semi-naive bayes classifier with grouping of cases
- Abellán J.
- Cano A.
- Masegosa A.
- Moral S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2007
- CiteScore: 1,8 (2020)
- SJR: 0,293 (2007)
- SNIP: 0,522 (2007)
Combining decision trees based on imprecise probabilities and uncertainty measures
- Abellán J.
- Masegosa A.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2007
- CiteScore: 1,8 (2020)
- SJR: 0,293 (2007)
- SNIP: 0,522 (2007)
Split criterions for variable selection using decision trees
- Abellán J.
- Masegosa A.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2007
- CiteScore: 1,8 (2020)
- SJR: 0,293 (2007)
- SNIP: 0,522 (2007)
Effects of highly agreed documents in relevancy prediction
- Masegosa A.
- Joho H.
- Jose J.
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - 3/12/2007
- Categorías SJR: Applied Mathematics; Information Systems; Software
Evaluating query-independent object features for relevancy prediction
- Masegosa A.
- Joho H.
- Jose J.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 20/12/2007
- CiteScore: 1,8 (2020)
- SJR: 0,293 (2007)
- SNIP: 0,522 (2007)
A Bayesian approach to estimate probabilities in classification trees
- Cano A.
- Masegosa A.
- Moral S.
Proceedings of the 4th European Workshop on Probabilistic Graphical Models, PGM 2008 - 1/12/2008
- Categorías SJR: Statistics and Probability
A Bayesian random split to build ensembles of classification trees
- Cano A.
- Masegosa A.
- Moral S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 27/8/2009
- CiteScore: 1,8 (2020)
- SJR: 0,302 (2009)
- SNIP: 0,586 (2009)
An experimental study about simple decision trees for bagging ensemble on datasets with classification noise
- Abellán J.
- Masegosa A.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 27/8/2009
- CiteScore: 1,8 (2020)
- SJR: 0,302 (2009)
- SNIP: 0,586 (2009)
Este autor no tiene patentes.
Rejoinder on "imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks"
- Masegosa A.
- Moral S.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/1/2014
- Cuartil SJR: Q1
- Factor Impacto JCR: 2,451 (2014)
- CiteScore: 7,1 (2020)
- SJR: 1,46 (2014)
- SNIP: 2,845 (2014)
- Impacto JCR a 5 años: 2,51
- Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Información de contacto
Departamento: Matemáticas
Correo electrónico: andresmasegosa@ual.es
Índice h
Scopus: 12
Web of Science: 10
Índice i10
Scopus: 16
Web of Science: 11
Grupos de investigación
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Análisis de datos
Rol: Miembro
Perfiles de autor
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ORCID
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Web of Science ResearcherID
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Scopus Author ID
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Dialnet id
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Otros identificadores
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URI Datos BNE
Proyectos de investigación en la UAL
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Acrónimo P20_00091Desde: 5 de octubre de 2021Hasta: 31 de diciembre de 2022Financiado por: JUNTAImporte de financiación: 31.950,00 EURRol: Investigador
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Acrónimo UAL2020-FQM-B1961Desde: 1 de enero de 2021Hasta: 31 de diciembre de 2022Financiado por: Universidad de AlmeríaImporte de financiación: 30.000,00 EURRol: Investigador
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Acrónimo PID2019-106758GB-C32Desde: 1 de junio de 2020Hasta: 31 de mayo de 2023Financiado por: MECImporte de financiación: 80.828,00 EURInvestigador Principal (IP)Rol: Investigador principal 2
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Acrónimo TIN2015-74368-JINDesde: 1 de enero de 2017Hasta: 31 de diciembre de 2019Financiado por: Ministerio de Economía, Industria y CompetitividadImporte de financiación: 199.892,00 EURInvestigador Principal (IP)Rol: Investigador principal