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Found 2 papers, 1 papers with code
Explanations of Black-Box Model Predictions by Contextual Importance and Utility
We show the utility of explanations in car selection example and Iris flower classification by presenting complete (i. e. the causes of an individual prediction) and contrastive explanation (i. e. contrasting instance against the instance of interest).
Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach
This paper presents an initial design concept and specification of a civilian Unmanned Aerial Vehicle (UAV) management simulation system that focuses on explainability for the human-in-the-loop control of semi-autonomous UAVs.
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