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Abstract
A central issue in the study of machine learning method regards the search for interpretability in models obtained after a training phase. Indeed, in additional to providing to the decision maker elements about how the model is using the information available to accomplish a given task, interpretability is a crucial requirement for more transparent algorithms. Motivated by the current eff…