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Author

Christian Lunetta

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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
Review Open access Sep 2026

Bridging stakeholder needs and technological capabilities to identify humanoid robot applications in rehabilitation: a case study in an ALS multidisciplinary care unit

The integration of assistive service robots in healthcare has gained increasing attention for its potential to support clinical workflow and patient wellbeing. However, structured methodological approaches to identify clinically relevant applications for versatile robotic platforms before clinical implementation are st...

Rachele Piras, Samuele Bordini, Riccardo K. Simi et al. · 0 citations

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