Juan A. Fernández del Pozo

Orcid: 0000-0002-7714-4657

According to our database1, Juan A. Fernández del Pozo authored at least 14 papers between 2000 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2016
Dominance measuring methods for the selection of cleaning services in a European underground transportation company.
RAIRO Oper. Res., 2016

2013
Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables.
J. Comput. Sci. Technol., 2013

2011
Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms.
J. Heuristics, 2011

Dealing with complex queries in decision-support systems.
Data Knowl. Eng., 2011

2010
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables.
Expert Syst. Appl., 2010

2008
Explaining clinical decisions by extracting regularity patterns.
Decis. Support Syst., 2008

2006
Listas KBM2L para la síntesis de conocimiento en sistemas de ayuda a la decisión.
PhD thesis, 2006

2005
A list-based compact representation for large decision tables management.
Eur. J. Oper. Res., 2005

2003
Optimal Decision Explanation by Extracting Regularity Patterns.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

Finding and Explaining Optimal Treatments.
Proceedings of the Artificial Intelligence in Medicine, 2003

2002
New Structures for Conditional Probability Tables.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

An Interactive Framework for Open Queries in Decision Support Systems.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Knowledge Organisation in a Neonatal Jaundice Decision Support System.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

2000
Structural, elicitation and computational issues faced when solving complex decision making problems with influence diagrams.
Comput. Oper. Res., 2000


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