| Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective E Leyva, A González, R Pérez Pattern Recognition 48 (4), 1523-1537, 2015 | 115 | 2015 |
| A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection E Leyva, A González, R Pérez IEEE, 0 | 86 | |
| Combining instance selection methods based on data characterization: An approach to increase their effectiveness Y Caises, A González, E Leyva, R Pérez Information Sciences 181 (20), 4780-4798, 2011 | 34 | 2011 |
| Knowledge-based instance selection: A compromise between efficiency and versatility E Leyva, A González, R Pérez Knowledge-Based Systems 47, 65-76, 2013 | 30 | 2013 |
| On the use of meta-learning for instance selection: An architecture and an experimental study E Leyva, Y Caises, A González, R Pérez Information Sciences 266, 16-30, 2014 | 21 | 2014 |
| An efficient inductive genetic learning algorithm for fuzzy relational rules A González, R Pérez, Y Caises, E Leyva International Journal of Computational Intelligence Systems 5 (2), 212-230, 2012 | 21 | 2012 |
| SCIS: combining instance selection methods to increase their effectiveness over a wide range of domains Y Caises, A González, E Leyva, R Pérez Proceedings of the 10th international conference on Intelligent data …, 2009 | 17 | 2009 |
| A. Gonz ́alez, and R. P ́erez,“Three new instanceselection methods based on local sets: A comparative studywith several approaches from a bi-objective perspective,” E Leyva Pattern Recognition 48 (4), 1523-1537, 2015 | 11 | 2015 |
| A genetic learning of fuzzy relational rules Y Caises, E Leyva, A González, R Pérez International Conference on Fuzzy Systems, 1-8, 2010 | 10 | 2010 |
| An extension of the genetic iterative approach for learning rule subsets Y Caises, E Leyva, A González, R Peréz Genetic and Evolutionary Fuzzy Systems (GEFS), 2010 4th International …, 2010 | 2 | 2010 |
| A method for combining instance selection algorithms Y Caises, A González, E Leyva, R Pérez Proc. of the IADIS International Conference Intelligent Systems and Agents …, 2009 | 1 | 2009 |
| Extracting rule subsets in a genetic iterative model Y Caises, E Leyva, A González, R Pérez Proc. of the IADIS International Conference Intelligent Systems and Agents …, 2009 | 1 | 2009 |
| A Genetic Tuned Fuzzy Classifier Based on Prototypes E Leyva, A González, R Pérez 8th conference of the European Society for Fuzzy Logic and Technology …, 2013 | | 2013 |
| An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules A González Muńoz, FGR Pérez Rodríguez, Y Caises, E Leyva Atlantis, 2012 | | 2012 |
Antonio GonzálezProfessor of Computer Science and Artificial Intelligence, Granada UniversityVerified email at decsai.ugr.es
