55 citations · 112 across the 7 of their papers we have counts for
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cs.LG2024★ 2 cited
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
Lorenzo Peracchio, Giovanna Nicora, Enea Parimbelli +5
Applying Artificial Intelligence (AI) and Machine Learning (ML) in critical contexts, such as medicine, requires the implementation of safety measures to reduce risks of harm in ca…
cs.LG2021★ 55 cited
Tree-based local explanations of machine learning model predictions, AraucanaXAI
Enea Parimbelli, Giovanna Nicora, Szymon Wilk +2
Increasingly complex learning methods such as boosting, bagging and deep learning have made ML models more accurate, but harder to understand and interpret. A tradeoff between perf…