V.G. Bittencourt

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Protein fold recognition is an important approach to structure discovery without relying on sequence similarity. In this context, computer-based tools, mainly the techniques from machine learning (ML), have become essential considering the large volume of data. We present an empirical comparison of individual machine learning techniques (k-nearest neighbor,(More)
Ensemble techniques have been successfully applied in the context of supervised learning to increase the accuracy and stability of classification. Recently, similar techniques have been proposed for clustering algorithms. In this context, we analyze the potential of applying cluster ensemble techniques to gene expression microarray data. Our experimental(More)
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