Masegosa Arredondo, Andrés Ramón Author
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)
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)
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
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)
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 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)
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)
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
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
- 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
Stochastic discriminative em
- Masegosa A.
Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014 - 1/1/2014
- SJR Categories: Artificial Intelligence
Dynamic Bayesian modeling for risk prediction in credit operations
- Borchani H.
- Martínez A.
- Masegosa A.
- Langseth H.
- Nielsen T.
- Salmerón A.
- Fernández A.
- Madsen A.
- Sáez R.
The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015) - 1/1/2015
- SJR Quartile: Q3
- Category normalized Impact: 0.286 (2015)
- CiteScore: 0.6 (2020)
- SJR: 0.238 (2015
- SNIP: 0.429 (2015
- SJR Categories: Artificial Intelligence (Q3)
- Scopus
- ORCID
- Web of Science
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
- Ramos-L pez D.o.
- Salmer n A.
- Rum R.
- Mart nez A.M.
- Nielsen T.D.
- Masegosa A.R.
- Langseth H.
- Madsen A.L.
Proceedings of the Eighth International Conference on Probabilistic Graphical Models - 1/1/2016
- JCR Impact Factor: 5 (2016)
- CiteScore: 6.8 (2020)
- SJR: 1.29 (2016
- SNIP: 2.222 (2016
- JCR 5-year Impact Factor: 7.649
- JCR Categories: AUTOMATION & CONTROL SYSTEMS
- Scopus
- ORCID
An interactive approach for cleaning noisy observations in Bayesian networks with the help of an expert
- Masegosa A.
- Moral S.
Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012 - 1/12/2012
- SJR Categories: Statistics and Probability
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
- SJR Categories: Statistics and Probability
Bayesian models of data streams with Hierarchical Power Priors
- Masegosa A.
- Nielsen T.
- Langseth H.
- Ramos-López D.
- Salmerón A.
- Madsen A.
Proceedings of the 34th International Conference on Machine Learning - 1/1/2017
- Scopus
- ORCID
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
- SJR Categories: Applied Mathematics; Information Systems; Software
Variational Robust Subspace Clustering with Mean Update Algorithm
- Dogadov S.
- Masegosa A.
- Nakajima S.
Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 - 1/7/2017
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
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
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