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Showing 1 to 4 of 4 for “"Layer-wise Relevance Propagation"”.

  1. Layer-wise Relevance Propagation and its Applications in Running Biomechanics

    … The purpose of this thesis was to apply layer-wise relevance propagation, a novel analysis method, within the context of human locomotion to isolate variables from large datasets that describe highly relevant movement characteristics that may inspire and direct future biomechanics …

    calgary Repository record for Layer-wise Relevance Propagation and its Applications in Running Biomechanics (opens in a new tab)

  2. Saliency Mapping in Convolutional Neural Networks to Determine Brain Age Trajectories

    … cross-sectional cohort of 524 individuals. Using Layer-wise Relevance Propagation (LRP) and DeepLIFT saliency mapping techniques, analyses were performed on the trained model to determine the most revealing structures over the course of brain ageing for the network, and compare these between the …

    cape-town Repository record for Saliency Mapping in Convolutional Neural Networks to Determine Brain Age Trajectories (opens in a new tab)

  3. Towards Improving Accuracy and Interpretability of Deep Learning based on Satellite Image Classification

    … A technique developed by Bash et al. [1] called Layer-Wise Relevance Propagation (LRP) back propagates the resulting classification scores through the network until it reaches the input layer. The resultant scores at the input layer are called the relevance of the image and represent the …

    cuny Repository record for Towards Improving Accuracy and Interpretability of Deep Learning based on Satellite Image Classification (opens in a new tab)