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stat.ML2026
ARISE: An adaptive residual-informed stability ensemble for feature selection in small-sample biomedical omics
Zardad Khan, Amjad Ali, Naz Gul +2
Objective: Small-sample molecular classification requires feature selectors that identify predictive, stable, and nonredundant subsets for binary and multiclass outcomes. We propos…
stat.ML2020
Optimal trees selection for classification via out-of-bag assessment and sub-bagging
Zardad Khan, Naz Gul, Nosheen Faiz +3
The effect of training data size on machine learning methods has been well investigated over the past two decades. The predictive performance of tree based machine learning methods…