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Masegosa Arredondo, Andrés Ramón Author

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

Cite count:
  • SJR Quartile: Q2
  • CiteScore: 3.4 (2020)
  • SJR: 0.322 (2020
  • SNIP: 0.746 (2020
  • SJR Categories: Artificial Intelligence (Q2)
Open Access

MAP inference in dynamic hybrid Bayesian networks

  • Ramos-López D.
  • Masegosa A.
  • Martínez A.
  • Salmerón A.
  • Nielsen T.
  • Langseth H.
  • Madsen A.
... View more Collapse

Progress in Artificial Intelligence - 27/06/2017

10.1007/s13748-017-0115-7

Cite count: 6 (Web of Science) 4 (Scopus)
  • Category normalized Impact: 0.228 (2017)
  • CiteScore: 3.4 (2020)
  • SNIP: 0.943 (2017
  • SJR Categories: Artificial Intelligence

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

Cite count: 2 (Web of Science) 2 (Scopus)
  • JCR Quartile: Q1 (2020)
  • SJR Quartile: Q1
  • JCR Impact Factor: 5.719 (2022)
  • Category normalized Impact: 0.126 (2020)
  • CiteScore: 9.8 (2020)
  • SJR: 1.085 (2020
  • SNIP: 2.108 (2020
  • JCR 5-year Impact Factor: 4.986
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Cognitive Neuroscience (Q1); Computer Science Applications (Q1); Artificial Intelligence (Q1)
Open Access

An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

  • María Morales
  • Antonio Salmerón
  • Ana D. Maldonado
  • Andrés R. Masegosa
  • Rafael Rumí

Mathematics - 27/10/2022

10.3390/math10213994

Cite count: 2 (Web of Science)
  • JCR Quartile: Q1 (2022)
  • JCR Impact Factor: 2.4 (2022)
  • Category normalized Impact: 1.166 (2022)
  • CiteScore: 2.9 (2021)
  • SJR: 0.538 (2021
  • SNIP: 1.162 (2021
  • JCR 5-year Impact Factor: 2.3
  • JCR Categories: MATHEMATICS
Open Access

Variational Inference over Nonstationary Data Streams for Exponential Family Models

  • Andrés R. Masegosa
  • Darío Ramos-López
  • Antonio Salmerón
  • Helge Langseth
  • Thomas D. Nielsen

Mathematics - 3/11/2020

10.3390/math8111942

Cite count: 8 (Web of Science) 2 (Scopus)
  • JCR Quartile: Q1 (2020)
  • JCR Impact Factor: 2.258 (2022)
  • Category normalized Impact: 2.467 (2020)
  • JCR 5-year Impact Factor: 2.165
  • JCR Categories: MATHEMATICS

A Bayesian stochastic search method for discovering Markov boundaries

  • Masegosa A.
  • Moral S.

KNOWLEDGE-BASED SYSTEMS - 1/11/2012

10.1016/j.knosys.2012.04.028

Cite count: 10 (Web of Science) 4 (Scopus)
  • 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)

AMIDST: A Java toolbox for scalable probabilistic machine learning

  • Masegosa A.
  • Martínez A.
  • Ramos-López D.
  • Cabañas R.
  • Salmerón A.
  • Langseth H.
  • Nielsen T.
  • Madsen A.
... View more Collapse

Knowledge-Based Systems - 1/01/2019

10.1016/j.knosys.2018.09.019

Cite count: 7 (Web of Science) 7 (Scopus)
  • JCR Quartile: Q1 (2019)
  • SJR Quartile: Q1
  • JCR Impact Factor: 5.921 (2022)
  • Category normalized Impact: 0.374 (2019)
  • CiteScore: 11.3 (2020)
  • SJR: 1.754 (2019
  • SNIP: 2.828 (2019
  • JCR 5-year Impact Factor: 6.075
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (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

Cite count: 6 (Web of Science) 3 (Scopus)
  • JCR Quartile: Q1 (2019)
  • SJR Quartile: Q1
  • JCR Impact Factor: 5.921 (2022)
  • Category normalized Impact: 0.267 (2019)
  • CiteScore: 11.3 (2020)
  • SJR: 1.754 (2019
  • SNIP: 2.828 (2019
  • JCR 5-year Impact Factor: 6.075
  • JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
  • SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)

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

10.1142/s0218488509006297

Cite count: 13 (Web of Science) 13 (Scopus)
  • 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)

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

Cite count: 15 (Web of Science) 8 (Scopus)
  • 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)

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

Cite count:
  • Dialnet

Classification

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

Introduction to Imprecise Probabilities - 29/8/2014

10.1002/9781118763117.ch10

Cite count: 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

Cite count: 3 (Web of Science) 2 (Scopus)
  • 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)

Models of supervised classification. Applications to genomics and information retrieval

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

2009

Cite count:
  • Dialnet

Learning under model misspecification: Applications to variational and ensemble methods

  • Masegosa A.R.

Advances in Neural Information Processing Systems - 1/1/2020

Cite count: 1 (Scopus)

Riskoweb: Web-based genetic profiling to complex disease using genome-wide SNP markers

  • Torres-Sánchez S.
  • Montes-Soldado R.
  • Medina-Medina N.
  • Masegosa A.
  • Abad-Grau M.

Advances in Intelligent and Soft Computing - 23/9/2011

10.1007/978-3-642-19914-1_1

Cite count: 1 (Web of Science) 1 (Scopus)
  • SJR Quartile: Q3
  • SJR: 0.146 (2011
  • SJR Categories: Computer Science (miscellaneous) (Q3)
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.
... View more Collapse

Advances in Artificial Intelligence - 1/1/2015

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

Cite count: 6 (Web of Science) 7 (Scopus)
  • Category normalized Impact: 0.767 (2015)
  • CiteScore: 1.8 (2020)
  • SJR: 0.369 (2015
  • SNIP: 0.708 (2015

This author has no patents.

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

Cite count: 3 (Scopus)
  • 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)

Department: Matemáticas

Email: andresmasegosa@ual.es

Scopus: 12

Web of Science: 10

Scopus: 16

Web of Science: 11

Last data update: 5/11/24 9:32 AM
Next scheduled update: 5/18/24 3:00 AM