33 citations · 78 across the 25 of their papers we have counts for
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stat.ML2025
Physics-informed features in supervised machine learning
Margherita Lampani, Sabrina Guastavino, Michele Piana +1
Supervised machine learning involves approximating an unknown functional relationship from a limited dataset of features and corresponding labels. The classical approach to feature…
stat.ML2024
Greedy feature selection: Classifier-dependent feature selection via greedy methods
Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti +2
The purpose of this study is to introduce a new approach to feature ranking for classification tasks, called in what follows greedy feature selection. In statistical learning, feat…