Masegosa Arredondo, Andrés Ramón Author
Varying parameter in classification based on imprecise probabilities
- Abellán J.
- Moral S.
- Gómez M.
- Masegosa A.
Advances in Soft Computing - 1/12/2006
- SJR Quartile: Q3
- SJR: 0.132 (2006
- SJR Categories: Computer Science (miscellaneous) (Q3); Computational Mechanics (Q4); Computer Science Applications (Q4)
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)
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)
An ensemble method using credal decision trees
- Abellán J.
- Masegosa A.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH - 16/8/2010
- SJR Quartile: Q1
- JCR Impact Factor: 2.159 (2010)
- CiteScore: 9.5 (2020)
- SJR: 2.383 (2010
- SNIP: 2.457 (2010
- JCR 5-year Impact Factor: 2.513
- JCR Categories: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
- SJR Categories: Information Systems and Management (Q1); Management Science and Operations Research (Q1); Modeling and Simulation (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)
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)
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)
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)
Bagging schemes on the presence of class noise in classification
- Abellán J.
- Masegosa A.
EXPERT SYSTEMS WITH APPLICATIONS - 15/6/2012
- SJR Quartile: Q1
- JCR Impact Factor: 1.854 (2012)
- CiteScore: 12.7 (2020)
- SJR: 1.148 (2012
- SNIP: 2.407 (2012
- JCR 5-year Impact Factor: 2.339
- JCR Categories: OPERATIONS RESEARCH & MANAGEMENT SCIENCE
- SJR Categories: Artificial Intelligence (Q1); Computer Science Applications (Q1); Engineering (miscellaneous) (Q1)
New skeleton-based approaches for Bayesian structure learning of Bayesian networks
- Masegosa A.
- Moral S.
APPLIED SOFT COMPUTING - 1/1/2013
- SJR Quartile: Q1
- JCR Impact Factor: 2.679 (2013)
- CiteScore: 11.2 (2020)
- SJR: 1.503 (2013
- SNIP: 2.65 (2013
- JCR 5-year Impact Factor: 2.97
- JCR Categories: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
- SJR Categories: Software (Q1)
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
- 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
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
- SJR Categories: 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
- 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
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
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
Author profiles
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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