On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

@article{Bach2015OnPE,
  title={On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation},
  author={Sebastian Bach and Alexander Binder and Gr{\'e}goire Montavon and Frederick Klauschen and Klaus-Robert M{\"u}ller and Wojciech Samek},
  journal={PLoS ONE},
  year={2015},
  volume={10}
}
Understanding and interpreting classification decisions of automated image classification systems is of high value in many applications, as it allows to verify the reasoning of the system and provides additional information to the human expert. [] Key Method We introduce a methodology that allows to visualize the contributions of single pixels to predictions for kernel-based classifiers over Bag of Words features and for multilayered neural networks.

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