Two images. On the left, is a photo of a husky with a snowy background, and it is labeled husky classified as a wolf. On the right, the photo is labeled, explanation, the photo is shaded, and the snowy part is only highlighted.

Fig. 1

Example of an interpretability method highlighting why a network took the wrong decision. The explained classifier was trained on the binary task “Husky” vs “Wolf.” The pixels used by the model are actually in the background and highlight the snow. (Adapted from [1]. Permission to reuse was kindly granted by the authors)

From: Chapter 22, Interpretability of Machine Learning Methods Applied to Neuroimaging

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New York, NY: Humana; 2023.
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