Nielsen, Jens Dalgaard Author
Supervised classification using probabilistic decision graphs
- Nielsen J.
- Rumí R.
- Salmerón A.
COMPUTATIONAL STATISTICS & DATA ANALYSIS - 15/2/2009
- JCR Quartile: Q2 (2009)
- SJR Quartile: Q1
- JCR Impact Factor: 1.228 (2009)
- Category normalized Impact: 0.283 (2009)
- CiteScore: 2.7 (2020)
- SJR: 1.276 (2009
- SNIP: 1.325 (2009
- JCR 5-year Impact Factor: 1.406
- JCR Categories: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
- SJR Categories: Applied Mathematics (Q1); Computational Mathematics (Q1); Computational Theory and Mathematics (Q1); Statistics and Probability (Q2)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Structural-EM for learning PDG models from incomplete data
- Antonio Salmerón Cerdán
- Rafael Rumí Rodríguez
- Jens D. Nielsen
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/6/2010
- JCR Quartile: Q2 (2010)
- SJR Quartile: Q1
- JCR Impact Factor: 1.684 (2010)
- Category normalized Impact: 0.09 (2010)
- CiteScore: 7.1 (2020)
- SJR: 1.329 (2010
- SNIP: 1.971 (2010
- JCR 5-year Impact Factor: 1.72
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
- Dialnet
- Scopus
- ORCID
- Web of Science
Modelling and inference with Conditional Gaussian Probabilistic Decision Graphs
- Nielsen J.
- Gámez J.
- Salmerón A.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/10/2012
- JCR Quartile: Q2 (2012)
- SJR Quartile: Q1
- JCR Impact Factor: 1.729 (2012)
- Category normalized Impact: 0.16 (2012)
- CiteScore: 7.1 (2020)
- SJR: 1.494 (2012
- SNIP: 2.132 (2012
- JCR 5-year Impact Factor: 2.165
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Learning probabilistic decision graphs
- Manfred Jaeger
- Tomi Silander
- Jens D. Nielsen
International journal of approximate reasoning - 1/5/2006
- SJR Quartile: Q1
- CiteScore: 7.1 (2020)
- SJR: 0.913 (2006
- SNIP: 2.156 (2006
- SJR Categories: Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1); Applied Mathematics (Q2)
LEARNING BAYESIAN NETWORKS FOR REGRESSION FROM INCOMPLETE DATABASES
- Fernández A.
- Nielsen J.
- SalmerÓn A.
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS - 1/2/2010
- JCR Quartile: Q3 (2010)
- SJR Quartile: Q2
- JCR Impact Factor: 0.85 (2010)
- Category normalized Impact: 0.3 (2010)
- CiteScore: 2.5 (2020)
- SJR: 0.497 (2010
- SNIP: 0.864 (2010
- JCR 5-year Impact Factor: 0.918
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q2); Control and Systems Engineering (Q2); Information Systems (Q2); Software (Q2)
- Scopus
- ORCID
- OAI-PMH
- Web of Science
A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination
- Nielsen J.
- Salmerón A.
- Gámez J.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/1/2014
- JCR Quartile: Q1 (2014)
- SJR Quartile: Q1
- JCR Impact Factor: 2.451 (2022)
- Category normalized Impact: 0.106 (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)
- Scopus
- ORCID
- Web of Science
Learning probabilistic graphical models: A review of techniques and applications in medicine
- Alonso-Barba J.
- Nielsen J.
- de la Ossa L.
- Puerta J.
Medical Applications of Intelligent Data Analysis: Research Advancements - 1/12/2012
10.4018/978-1-4666-1803-9.ch015
The PDG-Mixture Model for Clustering
- Flores M.
- Gámez J.
- Nielsen J.
DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS - 28/9/2009
- JCR Quartile: Q2 (2009)
- Category normalized Impact: 0.401 (2009)
- CiteScore: 1.8 (2020)
- SJR: 0.302 (2009
- SNIP: 0.586 (2009
- Scopus
- ORCID
- Web of Science
Structural-EM for learning PDG models from incomplete data
- Nielsen J.
- Rumí R.
- Salmerón A.
Proceedings of the 4th European Workshop on Probabilistic Graphical Models, PGM 2008 - 1/12/2008
- CiteScore: 5.3 (2019)
- SJR: 1.16 (2008
- SNIP: 1.858 (2008
- SJR Categories: Statistics and Probability
Structural-EM for learning PDG models from incomplete data
- Nielsen, J.D.
- Rumí, R.
- Salmerón, A.
Fourth European Workshop on Probabilistic Graphical Models - 2008
- ORCID
- OAI-PMH
Learning naïve bayes regression models with missing data using mixtures of truncated exponentials
- Fernández A.
- Nielsen J.
- Salmerón A.
Proceedings of the 4th European Workshop on Probabilistic Graphical Models, PGM 2008 - 1/12/2008
- SJR Categories: Statistics and Probability
Conditional gaussian probabilistic decision graphs
- Nielsen J.
- Salmerón A.
Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23 - 19/10/2010
- SJR Categories: Artificial Intelligence; Control and Systems Engineering
- Scopus
- ORCID
An empirical study of efficiency and accuracy of probabilistic graphical models
- Nielsen J.
- Jaeger M.
Proceedings of the 3rd European Workshop on Probabilistic Graphical Models, PGM 2006 - 1/12/2006
- SJR Categories: Statistics and Probability
This author has no patents.
This author has no reports or other types of publications.
h index
Scopus: 5
Web of Science: 3
i10 index
Scopus: 3
Web of Science: 2
Author profiles
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Scopus Author ID
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Dialnet id
Research projects at UAL
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Acronym P11-TIC-07821Since: April 30, 2013Until: April 30, 2015Funded by: JUNTAFunding / grant amount: 19,665.00 EURRole: Investigador
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Acronym TIN2004-06204-C03-01Since: December 13, 2004Until: December 12, 2007Funded by: MECFunding / grant amount: 113,620.00 EURRole: Investigador