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F. Vitiello

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Open access Sep 2026

Can Data Augmentation Change the Best-Performing Classifier? Evidence From a Machine Learning Study on Sarcopenia

Introduction One of the M-Brain project's aims is to identify biomarkers that can distinguish between healthy and pathological ageing. The choice of classifier can have a significant impact on predictive performance due to the challenges posed by limited sample size, class imbalance and heterogeneous features. Using d...

M. C. De Cola, F. Vitiello, Chiara Scarfì et al. · 0 citations

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