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07/26/2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers
Interpretable part-prototype models are computer vision models that are ...
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07/19/2023
Interpreting and Correcting Medical Image Classification with PIP-Net
Part-prototype models are explainable-by-design image classifiers, and a...
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01/20/2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
The rising popularity of explainable artificial intelligence (XAI) to un...
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12/03/2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Interpretable machine learning addresses the black-box nature of deep ne...
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11/05/2020
