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)
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)
¿Pueden las matemáticas leer un libro?
- Andrés Ramón Masegosa Arredondo
Boletín de la Titulación de Matemáticas de la UAL - 2017
- Dialnet
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)
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)
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
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
Probabilistic Models with Deep Neural Networks
- Andrés R. Masegosa
- Rafael Cabañas De Paz
- Helge Langseth
- Thomas Dyhre Nielsen
- Antonio Salmerón Cerdán
Entropy - 1/01/2021
- JCR Quartile: Q2 (2021)
- JCR Impact Factor: 2.738 (2022)
- Category normalized Impact: 0.156 (2021)
- CiteScore: 4 (2020)
- SJR: 0.468 (2020
- SNIP: 1.059 (2020
- JCR 5-year Impact Factor: 2.642
- JCR Categories: PHYSICS, MULTIDISCIPLINARY
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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)
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)
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
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
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
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
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
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
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
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
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
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
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
-
Análisis de datos
Role: Miembro
Author profiles
-
ORCID
-
Web of Science ResearcherID
-
Scopus Author ID
-
Dialnet id
-
Google Scholar Id
Other identifiers
-
URI Datos BNE
Research projects at UAL
-
Acronym P20_00091Since: October 5, 2021Until: December 31, 2022Funded by: JUNTAFunding / grant amount: 31,950.00 EURRole: Investigador
-
Acronym UAL2020-FQM-B1961Since: January 1, 2021Until: December 31, 2022Funded by: Universidad de AlmeríaFunding / grant amount: 30,000.00 EURRole: Investigador
-
Acronym PID2019-106758GB-C32Since: June 1, 2020Until: May 31, 2023Funded by: MECFunding / grant amount: 80,828.00 EURPrincipal Investigator (PI)Role: Investigador principal 2
-
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