Masegosa Arredondo, Andrés Ramón Author
A filter-wrapper method to select variables for the naive bayes classifier based on credal decision trees
- Abellán J.
- Masegosa A.
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS - 1/12/2009
- SJR Quartile: Q2
- JCR Impact Factor: 1.147 (2009)
- CiteScore: 2.5 (2020)
- SJR: 0.58 (2009
- SNIP: 0.981 (2009
- JCR 5-year Impact Factor: 1.179
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q2); Control and Systems Engineering (Q2); Information Systems (Q2); Software (Q2)
Imprecise classification with credal decision trees
- AbellÁn J.
- Masegosa A.
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS - 1/10/2012
- SJR Quartile: Q2
- JCR Impact Factor: 0.886 (2012)
- CiteScore: 2.5 (2020)
- SJR: 0.742 (2012
- SNIP: 1.113 (2012
- JCR 5-year Impact Factor: 1.386
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q2); Control and Systems Engineering (Q2); Information Systems (Q2); Software (Q2)
AMIDST: A Java toolbox for scalable probabilistic machine learning
- Masegosa A.
- Martínez A.
- Ramos-López D.
- Cabañas R.
- Salmerón A.
- Langseth H.
- Nielsen T.
- Madsen A.
Knowledge-Based Systems - 1/01/2019
- JCR Quartile: Q1 (2019)
- SJR Quartile: Q1
- JCR Impact Factor: 5.921 (2022)
- Category normalized Impact: 0.374 (2019)
- CiteScore: 11.3 (2020)
- SJR: 1.754 (2019
- SNIP: 2.828 (2019
- JCR 5-year Impact Factor: 6.075
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
InferPy: Probabilistic modeling with Tensorflow made easy
- Cabañas R.
- Salmerón A.
- Masegosa A.
Knowledge-Based Systems - 15/03/2019
- JCR Quartile: Q1 (2019)
- SJR Quartile: Q1
- JCR Impact Factor: 5.921 (2022)
- Category normalized Impact: 0.267 (2019)
- CiteScore: 11.3 (2020)
- SJR: 1.754 (2019
- SNIP: 2.828 (2019
- JCR 5-year Impact Factor: 6.075
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
A Bayesian stochastic search method for discovering Markov boundaries
- Masegosa A.
- Moral S.
KNOWLEDGE-BASED SYSTEMS - 1/11/2012
- SJR Quartile: Q1
- JCR Impact Factor: 4.104 (2012)
- CiteScore: 11.3 (2020)
- SJR: 1.746 (2012
- SNIP: 3.027 (2012
- JCR 5-year Impact Factor: 3.371
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
Variational Inference over Nonstationary Data Streams for Exponential Family Models
- Andrés R. Masegosa
- Darío Ramos-López
- Antonio Salmerón
- Helge Langseth
- Thomas D. Nielsen
Mathematics - 3/11/2020
- JCR Quartile: Q1 (2020)
- JCR Impact Factor: 2.258 (2022)
- Category normalized Impact: 2.467 (2020)
- JCR 5-year Impact Factor: 2.165
- JCR Categories: MATHEMATICS
- Scopus
- ORCID
- OAI-PMH
- Web of Science
An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark
- María Morales
- Antonio Salmerón
- Ana D. Maldonado
- Andrés R. Masegosa
- Rafael Rumí
Mathematics - 27/10/2022
- JCR Quartile: Q1 (2022)
- JCR Impact Factor: 2.4 (2022)
- Category normalized Impact: 1.166 (2022)
- CiteScore: 2.9 (2021)
- SJR: 0.538 (2021
- SNIP: 1.162 (2021
- JCR 5-year Impact Factor: 2.3
- JCR Categories: MATHEMATICS
- Scopus
- ORCID
- OAI-PMH
- Web of Science
InferPy: Probabilistic modeling with deep neural networks made easy
- Cózar J.
- Cabañas R.
- Salmerón A.
- Masegosa A.R.
Neurocomputing - 20/11/2020
- JCR Quartile: Q1 (2020)
- SJR Quartile: Q1
- JCR Impact Factor: 5.719 (2022)
- Category normalized Impact: 0.126 (2020)
- CiteScore: 9.8 (2020)
- SJR: 1.085 (2020
- SNIP: 2.108 (2020
- JCR 5-year Impact Factor: 4.986
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Cognitive Neuroscience (Q1); Computer Science Applications (Q1); Artificial Intelligence (Q1)
- Scopus
- ORCID
- Web of Science
Comparing two multinomial samples using hierarchical Bayesian models
- Masegosa A.
- Torres A.
- Morales M.
- Salmerón A.
Progress in Artificial Intelligence - 6/06/2020
- SJR Quartile: Q2
- CiteScore: 3.4 (2020)
- SJR: 0.322 (2020
- SNIP: 0.746 (2020
- SJR Categories: Artificial Intelligence (Q2)
- Scopus
- ORCID
- Web of Science
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
- Category normalized Impact: 0.228 (2017)
- CiteScore: 3.4 (2020)
- SNIP: 0.943 (2017
- SJR Categories: Artificial Intelligence
- Scopus
- ORCID
- OAI-PMH
- 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
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