Evaluating the effectiveness of rationale-augmented convolutional neural networks for deepfake detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09245-y.pdf
Reference46 articles.
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3. Ahmed SRA, Sonuç E (2023) Deepfake detection using rationale-augmented convolutional neural network. Appl Nanosci 13(2):1485–1493
4. Al-Dhabi Y, Zhang S (2021) Deepfake video detection by combining convolutional neural network (CNN) and recurrent neural network (RNN). In: 2021 IEEE international conference on computer science. Artificial intelligence and electronic engineering (CSAIEE). IEEE, pp 236–241
5. Albelwi S, Mahmood A (2017) A framework for designing the architectures of deep convolutional neural networks. Entropy 19(6):242
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