A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance

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Fizzy: feature subset selection for metagenomics (2015, methodology): “Our recent work developed theNeyman-Pearson Feature Selection (NPFS), which automatically detects the relevant features in a dataset using a generic scoring function J [12, 13].”
Ensembles for feature selection: A review and future trends (2019, unknown): “Therefore, the stability of ensembles for feature selection has been gaining attention in recent years [53, 54, 55, 7].”
On the Stability of Feature Selection Algorithms (2017, methodology): “, 2012), ensemble feature selection (Ditzler et al., 2015; Saeys et al., 2008) and multi-objective optimization (Baldassarre et al.”