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    • 10th SmartData@PoliTO Workshop – Present and Future Directions
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Home » Publications » Explaining deep convolutional models by measuring the influence of interpretable features in image classification

Explaining deep convolutional models by measuring the influence of interpretable features in image classification

Francesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli (2023) Explaining deep convolutional models by measuring the influence of interpretable features in image classification, In: DATA MINING AND KNOWLEDGE DISCOVERY, ISSN: 1573-756X

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