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Jul 11, 2024 ， What can we learn from interpreting deep neural networks? Wojciech ... Towards Best Practice in Explaining Neural Network Decisions with LRP (IJCNN 2020).
Nov 27, 2023 ， In future work we aim to apply LRP to more complex audio datasets to gain a deeper insight into classification decisions of deep neural networks in this domain.
Jul 15, 2024 ， Towards best practice in explaining neural network decisions with LRP, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) ...
Dec 19, 2023 ， In this paper, we introduce a nove... View ， Towards Best Practice in Explaining Neural Network Decisions with LRP. Conference Paper. Jul 2020.
Aug 22, 2024 ， In this paper, we contribute a comprehensive approach to gait analysis by leveraging sensor fusion, deep convolutional neural networks (CNN), and XAI techniques ...
May 20, 2024 ， LRP is another popular method for interpreting deep neural networks. It attributes the prediction of the model to input features by propagating the relevance ...
Aug 15, 2024 ， Lapuschkin, 2020: Towards best practice in explaining neural network decisions with LRP. 2020 Int. Joint Conf. on Neural Networks, Glasgow, United Kingdom ...
Jan 15, 2024 ， Further, we demonstrated that LRP is a suitable XAI method for explaining neural networks for audio classification. ... Towards best practice in explaining neural ...
Aug 1, 2024 ， In this article, we briefly introduce a few selected methods and discuss them in a short, clear and concise way.
Oct 30, 2023 ， The trained recurrent neural network (RNN) has reached 80% accuracy. The neural network is analyzed using layer-wise relevance propagation (LRP) to understand ...