Masegosa Arredondo, Andrés Ramón Author
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
- SJR Quartile: Q1
- JCR Impact Factor: 1.4 (2014)
- CiteScore: 2.7 (2020)
- SJR: 1.417 (2014
- SNIP: 1.514 (2014
- JCR 5-year Impact Factor: 1.51
- JCR Categories: STATISTICS & PROBABILITY
- SJR Categories: Applied Mathematics (Q1); Computational Mathematics (Q1); Computational Theory and Mathematics (Q1); Statistics and Probability (Q1)
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
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
- SJR Quartile: Q3
- JCR Impact Factor: 0.77 (2015)
- CiteScore: 2.7 (2020)
- SJR: 0.318 (2015
- SNIP: 0.389 (2015
- JCR 5-year Impact Factor: 0.93
- JCR Categories: BIOCHEMICAL RESEARCH METHODS
- SJR Categories: Computational Mathematics (Q3); Biochemistry (Q4); Genetics (Q4); Molecular Biology (Q4)
From anecdote to evidence: the relationship between personality and need for cognition of developers
- Russo D.
- Masegosa A.R.
- Stol K.J.
EMPIRICAL SOFTWARE ENGINEERING - 1/5/2022
- JCR Impact Factor: 4.1 (2022)
- CiteScore: 8.2 (2021)
- SJR: 1.89 (2021
- SNIP: 2.458 (2021
- JCR 5-year Impact Factor: 4.8
- JCR Categories: COMPUTER SCIENCE, SOFTWARE ENGINEERING
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)
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)
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
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
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)
Learning Styles Impact Students’ Perceptions on Active Learning Methodologies: A Case Study on the Use of Live Coding and Short Programming Exercises
- Andrés R. Masegosa
- Rafael Cabañas
- Ana D. Maldonado
- María Morales
Education Sciences - 1/3/2024
- Scopus
- ORCID
Classification
- Corani G.
- Abellán J.
- Masegosa A.
- Moral S.
- Zaffalon M.
Introduction to Imprecise Probabilities - 29/8/2014
Models of supervised classification. Applications to genomics and information retrieval
- Andrés Ramón Masegosa Arredondo
- Serafín Moral Callejón
- Andrés Cano Utrera
2009
- Dialnet
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
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
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
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 new framework for learning generalized credal networks
- Masegosa A.
- Moral S.
ISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications - 1/1/2013
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
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
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 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
Bagging decision trees on data sets with classification noise
- Abellán J.
- Masegosa A.
INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS - 26/4/2010
- 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
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
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
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