Jesús González

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1 Abstract—Problems arising in different areas such as numerical methods, simulation or optimization can be efficiently solved by parallel super-computing. However , it is not always possible to buy and maintain parallel super-computers. A geographically distributed network of PC clusters is an interesting low-cost alternative. The possibility of connecting(More)
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method selects minority examples from misclassified data given by an ensemble of classifiers. Then, these instances are over-sampled to create new synthetic examples using a variant of the(More)
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