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Counterfactual Image Generation for adversarially robust and interpretable Classifiers
Neural Image Classifiers are effective but inherently hard to interpret and susceptible to adversarial attacks.
Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-model-based Conceptual Design of Pedestrian Bridges
For conceptual design, engineers rely on conventional iterative (often manual) techniques.
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification
The VIG is a double-pane configuration with a submillimeter vacuum gap between the panes and therefore under constant atmospheric pressure over their service life.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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