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Masegosa Arredondo, Andrés Ramón Autor

Requirements for total uncertainty measures in Dempster-Shafer theory of evidence

  • Abellan J.
  • Masegosa A.

International Journal of General Systems - 1/12/2008

10.1080/03081070802082486

Número de citas: 67 (Web of Science) 59 (Scopus)
  • Cuartil SJR: Q2
  • CiteScore: 3,4 (2020)
  • SJR: 0,57 (2008)
  • SNIP: 0,824 (2008)
  • Categorías SJR: Computer Science Applications (Q2); Control and Systems Engineering (Q2); Information Systems (Q2); Modeling and Simulation (Q2); Theoretical Computer Science (Q3)
Open Access

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

10.1016/j.ijar.2015.11.004

Número de citas: 17 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 2,845 (2016)
  • CiteScore: 7,1 (2020)
  • SJR: 1,275 (2016)
  • SNIP: 1,852 (2016)
  • Impacto JCR a 5 años: 2,948
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Open Access

An interactive approach for Bayesian network learning using domain/expert knowledge

  • Masegosa A.
  • Moral S.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/10/2013

10.1016/j.ijar.2013.03.009

Número de citas: 35 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 1,977 (2013)
  • CiteScore: 7,1 (2020)
  • SJR: 1,145 (2013)
  • SNIP: 2,189 (2013)
  • Impacto JCR a 5 años: 2,072
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Open Access

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

10.1016/j.ijar.2013.09.019

Número de citas: 11 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 2,451 (2014)
  • CiteScore: 7,1 (2020)
  • SJR: 1,46 (2014)
  • SNIP: 2,845 (2014)
  • Impacto JCR a 5 años: 2,51
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Open Access

Scaling up Bayesian variational inference using distributed computing clusters

  • Masegosa A.
  • Martinez A.
  • Langseth H.
  • Nielsen T.
  • Salmerón A.
  • Ramos-López D.
  • Madsen A.
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International Journal of Approximate Reasoning - 1/09/2017

10.1016/j.ijar.2017.06.010

Número de citas: 9 (Web of Science) 10 (Scopus)
  • Cuartil JCR: Q2 (2017)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 1,766 (2022)
  • Impacto Normalizado por Categoría: 0,343 (2017)
  • CiteScore: 7,1 (2020)
  • SJR: 0,866 (2017)
  • SNIP: 1,746 (2017)
  • Impacto JCR a 5 años: 2,504
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1); Applied Mathematics (Q2)
Open Access

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.
... Ver más Contraer

International Journal of Approximate Reasoning - 1/09/2018

10.1016/j.ijar.2018.06.004

Número de citas: 9 (Web of Science) 4 (Scopus)
  • Cuartil JCR: Q3 (2018)
  • Cuartil SJR: Q2
  • Factor Impacto JCR: 1,982 (2022)
  • Impacto Normalizado por Categoría: 0,402 (2018)
  • CiteScore: 7,1 (2020)
  • SJR: 0,606 (2018)
  • SNIP: 1,453 (2018)
  • Impacto JCR a 5 años: 2,2
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Applied Mathematics (Q2); Artificial Intelligence (Q2); Software (Q2); Theoretical Computer Science (Q2)

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

10.3233/ida-2010-0469

Número de citas: 2 (Web of Science) 2 (Scopus)
  • Cuartil SJR: Q3
  • Factor Impacto JCR: 0,448 (2011)
  • CiteScore: 1,7 (2020)
  • SJR: 0,219 (2011)
  • SNIP: 0,746 (2011)
  • Impacto JCR a 5 años: 0,582
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: 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

10.3233/ida-194515

Número de citas: 7 (Web of Science) 1 (Scopus)
  • Cuartil JCR: Q4 (2020)
  • Factor Impacto JCR: 0,86 (2022)
  • Impacto Normalizado por Categoría: 0,379 (2020)
  • CiteScore: 1,7 (2020)
  • SJR: 0,231 (2020)
  • SNIP: 0,527 (2020)
  • Impacto JCR a 5 años: 0,894
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

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

10.1109/tsmcb.2011.2148197

Número de citas: 54 (Web of Science) 43 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 3,08 (2011)
  • SJR: 2,055 (2011)
  • SNIP: 3,14 (2011)
  • Impacto JCR a 5 años: 3,337
  • Categorías JCR: AUTOMATION & CONTROL SYSTEMS
  • Categorías SJR: 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

10.1109/mci.2016.2532267

Número de citas: 11 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 6,343 (2016)
  • CiteScore: 16,5 (2020)
  • SJR: 1,172 (2016)
  • SNIP: 3,207 (2016)
  • Impacto JCR a 5 años: 4,337
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: 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

Número de citas:
  • Dialnet

Classification

  • Corani G.
  • Abellán J.
  • Masegosa A.
  • Moral S.
  • Zaffalon M.

Introduction to Imprecise Probabilities - 29/8/2014

10.1002/9781118763117.ch10

Número de citas: 3 (Scopus)

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

10.1007/978-3-319-91479-4_51

Número de citas: 3 (Web of Science) 2 (Scopus)
  • Cuartil SJR: Q3
  • Impacto Normalizado por Categoría: 0,39 (2018)
  • CiteScore: 0,8 (2020)
  • SJR: 0,168 (2018)
  • SNIP: 0,397 (2018)
  • Categorías SJR: Computer Science (miscellaneous) (Q3); Mathematics (miscellaneous) (Q4)

Models of supervised classification. Applications to genomics and information retrieval

  • Andrés Ramón Masegosa Arredondo
  • Serafín Moral Callejón
  • Andrés Cano Utrera

2009

Número de citas:
  • Dialnet

Stochastic discriminative em

  • Masegosa A.

Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014 - 1/1/2014

Número de citas: 1 (Scopus)
  • Categorías SJR: 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.
... Ver más Contraer

The 13th Scandinavian Conference on Artificial Intelligence (SCAI'2015) - 1/1/2015

10.3233/978-1-61499-589-0-17

Número de citas: 4 (Web of Science) 4 (Scopus)
  • Cuartil SJR: Q3
  • Impacto Normalizado por Categoría: 0,286 (2015)
  • CiteScore: 0,6 (2020)
  • SJR: 0,238 (2015)
  • SNIP: 0,429 (2015)
  • Categorías SJR: Artificial Intelligence (Q3)
Open Access

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.
... Ver más Contraer

Proceedings of the Eighth International Conference on Probabilistic Graphical Models - 1/1/2016

Número de citas:
  • Factor Impacto JCR: 5 (2016)
  • CiteScore: 6,8 (2020)
  • SJR: 1,29 (2016)
  • SNIP: 2,222 (2016)
  • Impacto JCR a 5 años: 7,649
  • Categorías JCR: AUTOMATION & CONTROL 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

Número de citas:
  • Categorías SJR: 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

Número de citas: 1 (Scopus)
  • Categorías SJR: 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

Número de citas: 2 (Scopus)

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

10.1145/1277741.1277957

Número de citas:
  • Categorías SJR: 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

10.1109/iccvw.2017.212

Número de citas:
Open Access

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

10.1007/978-3-642-02906-6_41

Número de citas: 1 (Web of Science) 1 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,302 (2009)
  • SNIP: 0,586 (2009)
Open Access

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

10.1007/978-3-540-75256-1_43

Número de citas: 2 (Web of Science) 5 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,293 (2007)
  • SNIP: 0,522 (2007)

Este autor no tiene patentes.

Open Access

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

10.1016/j.ijar.2014.04.017

Número de citas: 3 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 2,451 (2014)
  • CiteScore: 7,1 (2020)
  • SJR: 1,46 (2014)
  • SNIP: 2,845 (2014)
  • Impacto JCR a 5 años: 2,51
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)

Departamento: Matemáticas

Correo electrónico: andresmasegosa@ual.es

Scopus: 12

Web of Science: 10

Scopus: 16

Web of Science: 11

Última actualización de los datos: 27/04/24 9:18
Próxima recolección programada: 4/05/24 3:00