8 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.AI2022★ 2 cited
Painting the black box white: experimental findings from applying XAI to an ECG reading setting
Federico Cabitza, Matteo Cameli, Andrea Campagner +2
The shift from symbolic AI systems to black-box, sub-symbolic, and statistical ones has motivated a rapid increase in the interest toward explainable AI (XAI), i.e. approaches to m…
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…