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Masegosa Arredondo, Andrés Ramón Autor

Open Access

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

10.3390/educsci14030250

Número de citas:

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

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)
Open Access

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.
... Ver más Contraer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2015

10.1007/978-3-319-24598-0_4

Número de citas: 6 (Web of Science) 7 (Scopus)
  • Impacto Normalizado por Categoría: 0,767 (2015)
  • CiteScore: 1,8 (2020)
  • SJR: 0,369 (2015)
  • SNIP: 0,708 (2015)
Open Access

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.
... Ver más Contraer

Frontiers in Artificial Intelligence and Applications - 1/1/2016

10.3233/978-1-61499-672-9-743

Número de citas:
  • Cuartil SJR: Q3
  • CiteScore: 0,6 (2020)
  • SJR: 0,202 (2016)
  • SNIP: 0,451 (2016)
  • Categorías SJR: Artificial Intelligence (Q3)

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)

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
Open Access

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

10.1007/11518655_78

Número de citas: 5 (Web of Science) 7 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,334 (2005)
  • SNIP: 0,787 (2005)
Open Access

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

10.1007/11518655_76

Número de citas: 3 (Web of Science) 6 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,334 (2005)
  • SNIP: 0,787 (2005)
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)
Open Access

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

10.1007/978-3-540-75256-1_46

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

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

10.1007/978-3-540-75256-1_44

Número de citas: 1 (Web of Science) 2 (Scopus)
  • 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

10.1145/1277741.1277957

Número de citas:
  • Categorías SJR: Applied Mathematics; Information Systems; Software
Open Access

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

10.1007/978-3-540-71496-5_27

Número de citas: 1 (Web of Science) 1 (Scopus)
  • 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

Número de citas: 1 (Scopus)
  • Categorías SJR: Statistics and Probability
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

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

10.1007/978-3-642-02906-6_39

Número de citas: 23 (Web of Science) 20 (Scopus)
  • CiteScore: 1,8 (2020)
  • SJR: 0,302 (2009)
  • SNIP: 0,586 (2009)

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: 18/05/24 3:22
Próxima recolección programada: 25/05/24 3:00