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Interpretable deep neural network to predict estrogen receptor status from haematoxylin-eosin images
Introduction to Neural Networks
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Explaining and Interpreting LSTMs
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Gradient-Based Vs. Propagation-Based Explanations: An Axiomatic Comparison
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Layer-Wise Relevance Propagation: An Overview
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Quantum-Chemical Insights from Interpretable Atomistic Neural Networks
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Towards Explainable Artificial Intelligence
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Understanding Patch-Based Learning of Video Data by Explaining Predictions
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Structuring Neural Networks for More Explainable Predictions
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Compressed Sensing: From Theory to Praxis
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