M. M. García

Probabilistic Approaches to the Rough Set Theory and Their Applications in Decision-Making

María M. García, R. B. Pérez, M. M. García, 2014, SOCO 2014.

Learning Membership Functions for an Associative Fuzzy Neural Network

Rafael Falcon, María M. García, Yanet Rodríguez, 2008 .

ANN-QSAR model for selection of anticancer leads from structurally heterogeneous series of compounds.

Rafael Bello, Isis Bonet, Lourdes Santana, 2007, European journal of medicinal chemistry.

Backpropagation through Time Algorithm for Training Recurrent Neural Networks using Variable Length Instances

Isis Bonet, Isel Grau, María M. García, 2013 .

A Method to Edit Training Set Based on Rough Sets

Rafael Bello, Yailé Caballero, Yanitza Salgado, 2007 .

Comparative Study of Clustering Algorithms using OverallSimSUX Similarity Function for XML Documents

Damny Magdaleno, Ivett E. Fuentes, Yadriel Miranda, 2015 .

Classification by evolutionary generalised radial basis functions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2010, Int. J. Hybrid Intell. Syst..

On Clustering Validity Measures and the Rough Set Theory

Rafael Bello, Leticia Arco, Maria M. Garcia, 2006, 2006 Fifth Mexican International Conference on Artificial Intelligence.

Rough Set Theory Measures for Quality Assessment of a Training Set

Rafael Bello, Yailé Caballero, Leticia Arco, 2008 .