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Masegosa Arredondo, Andrés Ramón Autor

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

10.1016/j.csda.2013.02.009

Número de citas: 22 (Scopus)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 1,4 (2014)
  • CiteScore: 2,7 (2020)
  • SJR: 1,417 (2014)
  • SNIP: 1,514 (2014)
  • Impacto JCR a 5 años: 1,51
  • Categorías JCR: STATISTICS & PROBABILITY
  • Categorías SJR: 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

10.1007/s13748-019-00202-1

Número de citas:
  • Cuartil SJR: Q2
  • CiteScore: 3,4 (2020)
  • SJR: 0,322 (2020)
  • SNIP: 0,746 (2020)
  • Categorías SJR: Artificial Intelligence (Q2)

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.
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Current Bioinformatics - 1/6/2015

10.2174/157489361002150518123918

Número de citas:
  • Cuartil SJR: Q3
  • Factor Impacto JCR: 0,77 (2015)
  • CiteScore: 2,7 (2020)
  • SJR: 0,318 (2015)
  • SNIP: 0,389 (2015)
  • Impacto JCR a 5 años: 0,93
  • Categorías JCR: BIOCHEMICAL RESEARCH METHODS
  • Categorías SJR: 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

10.1007/s10664-021-10106-1

Número de citas: 2 (Scopus)
  • Factor Impacto JCR: 4,1 (2022)
  • CiteScore: 8,2 (2021)
  • SJR: 1,89 (2021)
  • SNIP: 2,458 (2021)
  • Impacto JCR a 5 años: 4,8
  • Categorías JCR: 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

10.1142/s0218488512500353

Número de citas: 15 (Web of Science) 8 (Scopus)
  • Cuartil SJR: Q2
  • Factor Impacto JCR: 0,886 (2012)
  • CiteScore: 2,5 (2020)
  • SJR: 0,742 (2012)
  • SNIP: 1,113 (2012)
  • Impacto JCR a 5 años: 1,386
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q2); Control and Systems Engineering (Q2); Information Systems (Q2); Software (Q2)
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)

InferPy: Probabilistic modeling with deep neural networks made easy

  • Cózar J.
  • Cabañas R.
  • Salmerón A.
  • Masegosa A.R.

Neurocomputing - 20/11/2020

10.1016/j.neucom.2020.07.117

Número de citas: 2 (Web of Science) 2 (Scopus)
  • Cuartil JCR: Q1 (2020)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 5,719 (2022)
  • Impacto Normalizado por Categoría: 0,126 (2020)
  • CiteScore: 9,8 (2020)
  • SJR: 1,085 (2020)
  • SNIP: 2,108 (2020)
  • Impacto JCR a 5 años: 4,986
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Cognitive Neuroscience (Q1); Computer Science Applications (Q1); Artificial Intelligence (Q1)

InferPy: Probabilistic modeling with Tensorflow made easy

  • Cabañas R.
  • Salmerón A.
  • Masegosa A.

Knowledge-Based Systems - 15/03/2019

10.1016/j.knosys.2018.12.030

Número de citas: 6 (Web of Science) 3 (Scopus)
  • Cuartil JCR: Q1 (2019)
  • Cuartil SJR: Q1
  • Factor Impacto JCR: 5,921 (2022)
  • Impacto Normalizado por Categoría: 0,267 (2019)
  • CiteScore: 11,3 (2020)
  • SJR: 1,754 (2019)
  • SNIP: 2,828 (2019)
  • Impacto JCR a 5 años: 6,075
  • Categorías JCR: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • Categorías SJR: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
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

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:

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)

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

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

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)

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)

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

Número de citas:
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)
Open Access

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

10.1007/978-3-642-14049-5_70

Número de citas: 3 (Scopus)
  • Factor Impacto JCR: 1,433 (2010)
  • CiteScore: 1,8 (2020)
  • SJR: 0,322 (2010)
  • SNIP: 0,674 (2010)
  • Impacto JCR a 5 años: 1,27
  • Categorías JCR: 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

Número de citas:
  • Categorías SJR: Statistics and Probability
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

Bagging decision trees on data sets with classification noise

  • Abellán J.
  • Masegosa A.

INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS - 26/4/2010

10.1007/978-3-642-11829-6_17

Número de citas: 35 (Web of Science) 31 (Scopus)
  • Factor Impacto JCR: 1,433 (2010)
  • CiteScore: 1,8 (2020)
  • SJR: 0,322 (2010)
  • SNIP: 0,674 (2010)
  • Impacto JCR a 5 años: 1,27
  • Categorías JCR: 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

Número de citas: 2 (Scopus)
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)

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: 4/05/24 9:22
Próxima recolección programada: 11/05/24 3:00