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Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability
In this work, we explore the use of this higher-level interpretation of a deep neural network's behaviour to allows us to "explain the explainability" for actionable insights.
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence
In electronics manufacturing, solder joint defects are a common problem affecting a variety of printed circuit board components.
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