Masegosa Arredondo, Andrés Ramón Author
Probabilistic Graphical Models on Multi-Core CPUs Using Java 8
- Masegosa A.
- Martinez A.
- Borchani H.
IEEE Computational Intelligence Magazine - 1/5/2016
- SJR Quartile: Q1
- JCR Impact Factor: 6.343 (2016)
- CiteScore: 16.5 (2020)
- SJR: 1.172 (2016
- SNIP: 3.207 (2016
- JCR 5-year Impact Factor: 4.337
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Theoretical Computer Science (Q1)
A method for integrating expert knowledge when learning bayesian networks from data
- Cano A.
- Masegosa A.
- Moral S.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS - 1/10/2011
- SJR Quartile: Q1
- JCR Impact Factor: 3.08 (2011)
- SJR: 2.055 (2011
- SNIP: 3.14 (2011
- JCR 5-year Impact Factor: 3.337
- JCR Categories: AUTOMATION & CONTROL SYSTEMS
- SJR Categories: Computer Science Applications (Q1); Control and Systems Engineering (Q1); Electrical and Electronic Engineering (Q1); Human-Computer Interaction (Q1); Information Systems (Q1); Medicine (miscellaneous) (Q1); Software (Q1)
Analyzing concept drift: A case study in the financial sector
- Masegosa A.R.
- Martínez A.M.
- Ramos-López D.
- Langseth H.
- Nielsen T.D.
- Salmerón A.
Intelligent Data Analysis - 21/05/2020
- JCR Quartile: Q4 (2020)
- JCR Impact Factor: 0.86 (2022)
- Category normalized Impact: 0.379 (2020)
- CiteScore: 1.7 (2020)
- SJR: 0.231 (2020
- SNIP: 0.527 (2020
- JCR 5-year Impact Factor: 0.894
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Scopus
- ORCID
- Web of Science
A memory efficient semi-Naive Bayes classifier with grouping of cases
- Abellán J.
- Cano A.
- Masegosa A.
- Moral S.
Intelligent Data Analysis - 6/6/2011
- SJR Quartile: Q3
- JCR Impact Factor: 0.448 (2011)
- CiteScore: 1.7 (2020)
- SJR: 0.219 (2011
- SNIP: 0.746 (2011
- JCR 5-year Impact Factor: 0.582
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Computer Vision and Pattern Recognition (Q3); Artificial Intelligence (Q4); Theoretical Computer Science (Q4)
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
- JCR Quartile: Q2 (2017)
- SJR Quartile: Q1
- JCR Impact Factor: 1.766 (2022)
- Category normalized Impact: 0.343 (2017)
- CiteScore: 7.1 (2020)
- SJR: 0.866 (2017
- SNIP: 1.746 (2017
- JCR 5-year Impact Factor: 2.504
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1); Applied Mathematics (Q2)
- Scopus
- ORCID
- Web of Science
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
- JCR Quartile: Q3 (2018)
- SJR Quartile: Q2
- JCR Impact Factor: 1.982 (2022)
- Category normalized Impact: 0.402 (2018)
- CiteScore: 7.1 (2020)
- SJR: 0.606 (2018
- SNIP: 1.453 (2018
- JCR 5-year Impact Factor: 2.2
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q2); Artificial Intelligence (Q2); Software (Q2); Theoretical Computer Science (Q2)
- Scopus
- ORCID
- Web of Science
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
- SJR Quartile: Q1
- JCR Impact Factor: 2.845 (2016)
- CiteScore: 7.1 (2020)
- SJR: 1.275 (2016
- SNIP: 1.852 (2016
- JCR 5-year Impact Factor: 2.948
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
An interactive approach for Bayesian network learning using domain/expert knowledge
- Masegosa A.
- Moral S.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/10/2013
- SJR Quartile: Q1
- JCR Impact Factor: 1.977 (2013)
- CiteScore: 7.1 (2020)
- SJR: 1.145 (2013
- SNIP: 2.189 (2013
- JCR 5-year Impact Factor: 2.072
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (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
- SJR Quartile: Q1
- JCR Impact Factor: 2.451 (2014)
- CiteScore: 7.1 (2020)
- SJR: 1.46 (2014
- SNIP: 2.845 (2014
- JCR 5-year Impact Factor: 2.51
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Requirements for total uncertainty measures in Dempster-Shafer theory of evidence
- Abellan J.
- Masegosa A.
International Journal of General Systems - 1/12/2008
- SJR Quartile: Q2
- CiteScore: 3.4 (2020)
- SJR: 0.57 (2008
- SNIP: 0.824 (2008
- SJR Categories: Computer Science Applications (Q2); Control and Systems Engineering (Q2); Information Systems (Q2); Modeling and Simulation (Q2); Theoretical Computer Science (Q3)
Models of supervised classification. Applications to genomics and information retrieval
- Andrés Ramón Masegosa Arredondo
- Serafín Moral Callejón
- Andrés Cano Utrera
2009
- Dialnet
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
- SJR Quartile: Q3
- Category normalized Impact: 0.39 (2018)
- CiteScore: 0.8 (2020)
- SJR: 0.168 (2018
- SNIP: 0.397 (2018
- SJR Categories: Computer Science (miscellaneous) (Q3); Mathematics (miscellaneous) (Q4)
- Dialnet
- Scopus
- ORCID
- Web of Science
Classification
- Corani G.
- Abellán J.
- Masegosa A.
- Moral S.
- Zaffalon M.
Introduction to Imprecise Probabilities - 29/8/2014
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
Parallel importance sampling in conditional linear Gaussian networks
- Salmerón A.
- Ramos-López D.
- Borchani H.
- Martínez A.
- Masegosa A.
- Fernández A.
- Langseth H.
- Madsen A.
- Nielsen T.
Advances in Artificial Intelligence - 1/1/2015
- Category normalized Impact: 0.767 (2015)
- CiteScore: 1.8 (2020)
- SJR: 0.369 (2015
- SNIP: 0.708 (2015
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Riskoweb: Web-based genetic profiling to complex disease using genome-wide SNP markers
- Torres-Sánchez S.
- Montes-Soldado R.
- Medina-Medina N.
- Masegosa A.
- Abad-Grau M.
Advances in Intelligent and Soft Computing - 23/9/2011
- SJR Quartile: Q3
- SJR: 0.146 (2011
- SJR Categories: Computer Science (miscellaneous) (Q3)
Learning under model misspecification: Applications to variational and ensemble methods
- Masegosa A.R.
Advances in Neural Information Processing Systems - 1/1/2020
Second order PAC-Bayesian bounds for the weighted majority vote
- Masegosa A.R.
- Lorenzen S.S.
- Igel C.
- Seldin Y.
Advances in Neural Information Processing Systems - 1/1/2020
Haplotype-based classifiers to predict individual susceptibility to complex diseases: An example for multiple sclerosis
- Abad-Grau M.
- Medina-Medina N.
- Masegosa A.
- Moral S.
BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - 13/6/2012
- SJR Categories: Modeling and Simulation
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs
- Salmerón A.
- Madsen A.
- Jensen F.
- Langseth H.
- Nielsen T.
- Ramos-López D.
- Martínez A.
- Masegosa A.
ECAI 2016 - 1/1/2016
- SJR Quartile: Q3
- CiteScore: 0.6 (2020)
- SJR: 0.202 (2016
- SNIP: 0.451 (2016
- SJR Categories: Artificial Intelligence (Q3)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Financial Data Analysis with PGMs Using AMIDST
- Cabanas R.
- Martinez A.
- Masegosa A.
- Ramos-Lopez D.
- Sameron A.
- Nielsen T.
- Langseth H.
- Madsen A.
IEEE International Conference on Data Mining Workshops, ICDMW - 30/01/2017
- Category normalized Impact: 0.586 (2017)
- SJR Categories: Computer Science Applications; Software
- Scopus
- ORCID
- Web of Science
Learning with Bayesian networks and probability trees to approximate a joint distribution
- Cano A.
- Gómez-Olmedo M.
- Masegosa A.
- Moral S.
International Conference on Intelligent Systems Design and Applications, ISDA - 1/12/2011
- SJR Categories: Artificial Intelligence; Computer Science Applications; Control and Systems Engineering; Signal Processing
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
- Cano A.
- Gómez-Olmedo M.
- Masegosa A.
- Moral S.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/6/2013
- SJR Quartile: Q1
- JCR Impact Factor: 1.977 (2013)
- CiteScore: 7.1 (2020)
- SJR: 1.145 (2013
- SNIP: 2.189 (2013
- JCR 5-year Impact Factor: 2.072
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
An importance sampling approach to integrate expert knowledge when learning Bayesian networks from data
- Cano A.
- Masegosa A.
- Moral S.
INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS - 29/7/2010
- JCR Impact Factor: 1.433 (2010)
- CiteScore: 1.8 (2020)
- SJR: 0.322 (2010
- SNIP: 0.674 (2010
- JCR 5-year Impact Factor: 1.27
- JCR Categories: COMPUTER SCIENCE, INFORMATION SYSTEMS
This author has no patents.
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
- SJR Quartile: Q1
- JCR Impact Factor: 2.451 (2014)
- CiteScore: 7.1 (2020)
- SJR: 1.46 (2014
- SNIP: 2.845 (2014
- JCR 5-year Impact Factor: 2.51
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Contact info
Department: Matemáticas
Email: andresmasegosa@ual.es
h index
Scopus: 12
Web of Science: 10
i10 index
Scopus: 16
Web of Science: 11
Research groups
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Análisis de datos
Role: Miembro
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Research projects at UAL
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Acronym P20_00091Since: October 5, 2021Until: December 31, 2022Funded by: JUNTAFunding / grant amount: 31,950.00 EURRole: Investigador
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Acronym UAL2020-FQM-B1961Since: January 1, 2021Until: December 31, 2022Funded by: Universidad de AlmeríaFunding / grant amount: 30,000.00 EURRole: Investigador
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Acronym PID2019-106758GB-C32Since: June 1, 2020Until: May 31, 2023Funded by: MECFunding / grant amount: 80,828.00 EURPrincipal Investigator (PI)Role: Investigador principal 2
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Acronym TIN2015-74368-JINSince: January 1, 2017Until: December 31, 2019Funded by: Ministerio de Economía, Industria y CompetitividadFunding / grant amount: 199,892.00 EURPrincipal Investigator (PI)Role: Investigador principal