23 citations · 65 across the 9 of their papers we have counts for
Showing 2019Show all
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cs.CV2019★ 2 cited
What's in the box? Explaining the black-box model through an evaluation of its interpretable features
Francesco Ventura, Tania Cerquitelli
Algorithms are powerful and necessary tools behind a large part of the information we use every day. However, they may introduce new sources of bias, discrimination and other unfai…
cs.LG2019★ 3 cited
Automating concept-drift detection by self-evaluating predictive model degradation
Tania Cerquitelli, Stefano Proto, Francesco Ventura +2
A key aspect of automating predictive machine learning entails the capability of properly triggering the update of the trained model. To this aim, suitable automatic solutions to s…