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1. Classification of biomedical spectra using stochastic feature selection

2. Improving detection performance of artificial neural network by Shapley value embedded genetic feature selector

3. Improving feature selection process resistance to failures caused by curse-of-dimensionality effects

4. Notes on the evolution of feature selection methodoloty

5. Saliency analysis of Support Vector Machines for feature selection