@conference {10.1007/978-3-642-02478-8_8,
	title = {A Preliminar Analysis of CO2RBFN in Imbalanced Problems},
	booktitle = {Bio-Inspired Systems: Computational and Ambient Intelligence},
	year = {2009},
	pages = {57{\textendash}64},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {In many real classification problems the data are imbalanced, i.e., the number of instances for some classes are much higher than that of the other classes. Solving a classification task using such an imbalanced data-set is difficult due to the bias of the training towards the majority classes. The aim of this contribution is to analyse the performance of CO2RBFN, a cooperative-competitive evolutionary model for the design of RBFNs applied to classification problems on imbalanced domains and to study the cooperation of a well known preprocessing method, the {\textquoteleft}{\textquoteleft}Synthetic Minority Over-sampling Technique{\textquoteright}{\textquoteright} (SMOTE) with our algorithm. The good performance of CO2RBFN is shown through an experimental study carried out over a large collection of imbalanced data-sets.},
	isbn = {978-3-642-02478-8},
	author = {M.D. P{\'e}rez-Godoy and A.J. Rivera-Rivas and Fern{\'a}ndez, A. and M. J. del Jesus and F. Herrera},
	editor = {Cabestany, Joan and Sandoval, Francisco and Prieto, Alberto and Corchado, Juan M.}
}
@conference {10.1007/3-540-56798-4_201,
	title = {Combination of self-organizing maps and multilayer perceptrons for speaker independent isolated word recognition},
	booktitle = {New Trends in Neural Computation},
	year = {1993},
	pages = {550{\textendash}555},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {A new Neural Network architecture that combines the Kohonen Self-Organizing Maps and Multilayer Perceptrons for a speech recognition task is presented. This architecture overcomes the problem of time-alignement of the succesive frames obtained from one utterance of one word: the succesive frames of a word generate a trajectory in a two-dimensional space using the Self-Organizing Map. These are classified using the Perceptron. Comparation with other techniques are made, and results are better than the obtained wich Trace Segmentation. The vocabulary used in the experiments is a highly difficult subset from the Spanish alphabet: the Spanish E-Set.},
	isbn = {978-3-540-47741-9},
	author = {Tuya, J. and Arias, E. and S{\'a}nchez, L. and Corrales, J. A.},
	editor = {Mira, Jos{\'e} and Cabestany, Joan and Prieto, Alberto}
}
