SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains. - Yoel Caises; Antonio González Muñoz; Enrique Leyva; Raúl Pérez (IDEAL, 2009)

A genetic learning of fuzzy relational rules. - Yoel Caises; Enrique Leyva; Antonio González Muñoz; Raúl Pérez (FUZZ-IEEE, 2010)

An extension of the Genetic Iterative Approach for learning rule subsets. - Yoel Caises; Enrique Leyva; Antonio González Muñoz; Raúl Pérez (GEFS, 2010)

Combining instance selection methods based on data characterization: An approach to increase their effectiveness. - Yoel Caises; Antonio González Muñoz; Enrique Leyva; Raúl Pérez (Inf. Sci., 2011)

An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules. - Antonio González Muñoz; Raúl Pérez; Yoel Caises; Enrique Leyva (Int. J. Comput. Intell. Syst., 2012)

A Genetic Tuned Fuzzy Classifier Based on Prototypes. - Enrique Leyva; Antonio González Muñoz; Raúl Pérez (EUSFLAT Conf., 2013)

Knowledge-based instance selection: A compromise between efficiency and versatility. - Enrique Leyva; Antonio González Muñoz; Raúl Pérez (Knowl. Based Syst., 2013)

On the use of meta-learning for instance selection: An architecture and an experimental study. - Enrique Leyva; Yoel Caises; Antonio González Muñoz; Raúl Pérez (Inf. Sci., 2014)

Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective. - Enrique Leyva; Antonio González Muñoz; Raúl Pérez (Pattern Recognit., 2015)

A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection. - Enrique Leyva; Antonio González Muñoz; Raúl Pérez (IEEE Trans. Knowl. Data Eng., 2015)