8 citations · 16 across the 3 of their papers we have counts for
3 papers
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.
cs.HC2012★ 6 cited
Design Ltd.: Renovated Myths for the Development of Socially Embedded Technologies
Federico Cabitza, Carla Simone
This paper argues that traditional and mainstream mythologies, which have been continually told within the Information Technology domain among designers and advocators of conceptua…