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Pérez Bernabé, Inmaculada Author

Parameter learning in hybrid Bayesian networks using prior knowledge

  • Pérez-Bernabé I.
  • Fernández A.
  • Rumí R.
  • Salmerón A.

DATA MINING AND KNOWLEDGE DISCOVERY - 1/5/2016

10.1007/s10618-015-0429-7

Cite count: 3 (Web of Science) 4 (Scopus)
  • JCR Quartile: Q1 (2016)
  • SJR Quartile: Q1
  • JCR Impact Factor: 3.16 (2022)
  • Category normalized Impact: 0.144 (2016)
  • CiteScore: 8.3 (2020)
  • SJR: 1.14 (2016
  • SNIP: 2.341 (2016
  • JCR 5-year Impact Factor: 3.477
  • JCR Categories: COMPUTER SCIENCE, INFORMATION SYSTEMS
  • SJR Categories: Computer Networks and Communications (Q1); Computer Science Applications (Q1); Information Systems (Q1)
Open Access

Learning mixtures of truncated basis functions from data

  • Langseth H.
  • Nielsen T.
  • Pérez-Bernabé I.
  • Salmerón A.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/6/2014

10.1016/j.ijar.2013.09.012

Cite count: 24 (Web of Science) 9 (Scopus)
  • JCR Quartile: Q1 (2014)
  • SJR Quartile: Q1
  • JCR Impact Factor: 2.451 (2022)
  • Category normalized Impact: 0.81 (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)
Open Access

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions

  • Pérez-Bernabé I.
  • Maldonado A.D.
  • Nielsen T.D.
  • Salmerón A.

The R Journal - 1/1/2020

10.32614/rj-2021-019

Cite count:
  • JCR Impact Factor: 3.984 (2020)
  • JCR 5-year Impact Factor: 7.958
  • JCR Categories: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Learning hybrid bayesian networks using mixtures of truncated basis functions. Aprendizaje de redes bayesianas híbridas con mixturas de funciones base truncadas

  • Inmaculada Pérez-Bernabé
  • Antonio Salmerón Cerdán
  • Helge Langseth

2015

Cite count:
  • Dialnet
Open Access

On Using the PC Algorithm for Learning Continuous Bayesian Networks: An Experimental Analysis

  • Fernández A.
  • Pérez-Bernabé I.
  • Salmerón A.

ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2013 - 10/10/2013

10.1007/978-3-642-40643-0_35

Cite count: 2 (Web of Science) 2 (Scopus)
  • Category normalized Impact: 0.273 (2013)
  • CiteScore: 1.8 (2020)
  • SJR: 0.36 (2013
  • SNIP: 0.775 (2013
Open Access

Learning Conditional Distributions Using Mixtures of Truncated Basis Functions

  • Pérez-Bernabé I.
  • Salmerón A.
  • Langseth H.

SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, ECSQARU 2015 - 1/1/2015

10.1007/978-3-319-20807-7_36

Cite count: 3 (Web of Science) 2 (Scopus)
  • Category normalized Impact: 0.293 (2015)
  • CiteScore: 1.8 (2020)
  • SJR: 0.369 (2015
  • SNIP: 0.708 (2015

Incorporating Prior Knowledge when Learning Mixtures of Truncated Basis Functions from Data

  • Fernández A.
  • Pérez-Bernabé I.
  • Rumí R.
  • Salmerón A.

TWELFTH SCANDINAVIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (SCAI 2013) - 1/12/2013

10.3233/978-1-61499-330-8-95

Cite count: 1 (Web of Science) 2 (Scopus)
  • SJR Quartile: Q3
  • Category normalized Impact: 0.136 (2013)
  • CiteScore: 0.6 (2020)
  • SJR: 0.275 (2013
  • SNIP: 0.521 (2013
  • SJR Categories: Artificial Intelligence (Q3)

This author has no patents.

This author has no reports or other types of publications.

Scopus: 2

Web of Science: 3

Scopus: 0

Web of Science: 1

Last data update: 11/20/24 12:55 AM
Next scheduled update: 11/23/24 3:00 AM