Pérez Bernabé, Inmaculada Author
Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
- Pérez-Bernabé I.
- Maldonado A.D.
- Nielsen T.D.
- Salmerón A.
R Journal - 1/1/2020
- JCR Impact Factor: 3.984 (2020)
- CiteScore: 4.4 (2024)
- SJR: 2.567 (2020
- SNIP: 3.392 (2020
- JCR 5-year Impact Factor: 7.958
- JCR Categories: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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
- JCR Quartile: Q1 (2016)
- SJR Quartile: Q1
- JCR Impact Factor: 3.16 (2022)
- Category normalized Impact: 0.144 (2016)
- CiteScore: 8.2 (2024)
- SJR: 1.14 (2016
- SNIP: 2.326 (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)
- Dialnet
- Scopus
- ORCID
- Web of Science
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
- JCR Quartile: Q1 (2014)
- SJR Quartile: Q1
- JCR Impact Factor: 2.451 (2022)
- Category normalized Impact: 0.81 (2014)
- CiteScore: 6.2 (2024)
- SJR: 1.494 (2012
- SNIP: 2.122 (2012
- 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)
- Scopus
- Scopus
- ORCID
- OAI-PMH
- Web of Science
This author has no books or chapters
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
- Dialnet
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
- Category normalized Impact: 0.293 (2015)
- CiteScore: 2.4 (2024)
- SJR: 0.369 (2015
- SNIP: 0.72 (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
- SJR Quartile: Q3
- Category normalized Impact: 0.136 (2013)
- CiteScore: 0.7 (2024)
- SJR: 0.275 (2013
- SNIP: 0.512 (2013
- SJR Categories: Artificial Intelligence (Q3)
- Scopus
- ORCID
- Web of Science
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
- Category normalized Impact: 0.273 (2013)
- CiteScore: 2.4 (2024)
- SJR: 0.36 (2013
- SNIP: 0.777 (2013
- Scopus
- ORCID
- Web of Science
This author has no patents.
This author has no reports or other types of publications.
h index
Scopus: 4
Web of Science: 3
i10 index
Scopus: 1
Web of Science: 1
Research groups
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Análisis de datos
Role: Miembro
Author profiles
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Scopus Author ID
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Dialnet id
Research projects at UAL
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Acronym P12-TIC-2541Since: January 30, 2014Until: January 29, 2016Funding / grant amount: 7,920.00 EURRole: Investigador
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Acronym P11-TIC-07821Since: April 30, 2013Until: April 30, 2015Funding / grant amount: 19,665.00 EURRole: Investigador