F. Palorini

Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

Two-Higgs leptonic minimal flavour violation

On the scalar potential of minimal flavour violation

Another look at minimal lepton flavour violation, leptogenesis and the ratioM_ν/Λ_LFV

Theory and phenomenology of two-Higgs-doublet models

Bladder Dose-Surface Maps show Evidence of Spatial Effects for the Risk of Acute Urinary Toxicity after Moderate Hypofractionated Radiation for Prostate Cancer

Various definitions of minimal flavour violation for leptons