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CNN-based explanation ensembling

Explainable Artificial Intelligence has gained significant attention due to the widespread use of complex deep learning models in high-stake domains such as medicine, finance, and autonomous cars. This research manuscript explores the potential of ensembling explanations generated by deep classification models using convolutional models.

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Weronika Hryniewska-Guzik, Luca Longo, Przemysław Biecek (2024). Dataset: CNN-based explanation ensembling. https://doi.org/10.57702/glr6253d

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Additional Info

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Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.2404.10387
Author Weronika Hryniewska-Guzik
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Luca Longo
Przemysław Biecek
Homepage https://github.com/Hryniewska/CNNbasedXAIensembling