Quantifying the contribution of database facts to query answers has been...
We study the faithfulness of an explanation system to the underlying
pre...
The Shapley value is a game-theoretic notion for wealth distribution tha...
Symptom checkers have emerged as an important tool for collecting sympto...
Multiple lines of research have developed Natural Language (NL) interfac...
The interpretability of complex Machine Learning models is coming to be ...
Data repair is a common and crucial step in many frameworks today, as
ap...
Despite the popularity of explainable AI, there is limited work on effec...
Clustering is a popular form of unsupervised learning for geometric data...