8 citations · 22 across the 7 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2022
Everything is Varied: The Surprising Impact of Individual Variation on ML Robustness in Medicine
Andrea Campagner, Lorenzo Famiglini, Anna Carobene +1
In medical settings, Individual Variation (IV) refers to variation that is due not to population differences or errors, but rather to within-subject variation, that is the intrinsi…
cs.LG2019★ 8 cited
Who wants accurate models? Arguing for a different metrics to take classification models seriously
Federico Cabitza, Andrea Campagner
With the increasing availability of AI-based decision support, there is an increasing need for their certification by both AI manufacturers and notified bodies, as well as the prag…
cs.LG2017★ 2 cited
Breeding electric zebras in the fields of Medicine
Federico Cabitza
A few notes on the use of machine learning in medicine and the related unintended consequences.