According to our database1, Enrique Leyva authored at least 10 papers between 2009 and 2015.
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A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection.
IEEE Trans. Knowl. Data Eng., 2015
Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective.
Pattern Recognition, 2015
On the use of meta-learning for instance selection: An architecture and an experimental study.
Inf. Sci., 2014
Knowledge-based instance selection: A compromise between efficiency and versatility.
Knowl.-Based Syst., 2013
A Genetic Tuned Fuzzy Classifier Based on Prototypes.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules.
Int. J. Comput. Intell. Syst., 2012
Combining instance selection methods based on data characterization: An approach to increase their effectiveness.
Inf. Sci., 2011
An extension of the Genetic Iterative Approach for learning rule subsets.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010
A genetic learning of fuzzy relational rules.
Proceedings of the FUZZ-IEEE 2010, 2010
SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009