25 citations · 40 across the 11 of their papers we have counts for
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stat.ML2021
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
Michela C. Massi, Francesca Ieva, Francesca Gasperoni +1
Class imbalance is a common issue in many domain applications of learning algorithms. Oftentimes, in the same domains it is much more relevant to correctly classify and profile min…
cs.LG2021★ 7 cited
Learning High-Order Interactions via Targeted Pattern Search
Michela C. Massi, Nicola R. Franco, Francesca Ieva +3
Logistic Regression (LR) is a widely used statistical method in empirical binary classification studies. However, real-life scenarios oftentimes share complexities that prevent fro…