89 citations · 92 across the 6 of their papers we have counts for
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cs.AI2024
Using Stratified Sampling to Improve LIME Image Explanations
Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari +1
We investigate the use of a stratified sampling approach for LIME Image, a popular model-agnostic explainable AI method for computer vision tasks, in order to reduce the artifacts…
cs.AI2021★ 89 cited
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
Elvio G. Amparore, Alan Perotti, Paolo Bajardi
The main objective of eXplainable Artificial Intelligence (XAI) is to provide effective explanations for black-box classifiers. The existing literature lists many desirable propert…