Extensive evaluation of image classifiers’ interpretations
Author:
Funder
European Regional Development Fund
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-10273-4.pdf
Reference46 articles.
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3. Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A (2015) Going deeper with convolutions. In: 2015 IEEE conference on computer vision and pattern recognition (CVPR), pp 1–9. https://doi.org/10.1109/CVPR.2015.7298594
4. Lapuschkin S, Wäldchen S, Binder A, Montavon G, Samek W, Müller K-R (2019) Unmasking clever hans predictors and assessing what machines really learn. Nature Communications 10. https://doi.org/10.1038/s41467-019-08987-4
5. Ribeiro MT, Singh S, Guestrin C (2016) "Why should i trust you?": Explaining the predictions of any classifier
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