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Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications.

, , , , and . Proc. IEEE, 109 (3): 247-278 (2021)

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Explainable AI for Time Series via Virtual Inspection Layers., , , and . CoRR, (2023)But that's not why: Inference adjustment by interactive prototype deselection., , , and . CoRR, (2022)XAI-based Comparison of Input Representations for Audio Event Classification., , , , and . CoRR, (2023)Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test., , , and . CoRR, (2024)Generative Fractional Diffusion Models., , , , , , , , , and 1 other author(s). CoRR, (2023)iNNvestigate Neural Networks!, , , , , , , , , and . J. Mach. Learn. Res., (2019)Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond., , , , , , , and . J. Mach. Learn. Res., (2023)Pruning by explaining: A novel criterion for deep neural network pruning., , , , , , and . Pattern Recognit., (2021)Explain and improve: LRP-inference fine-tuning for image captioning models., , , and . Inf. Fusion, (2022)Opening the machine learning black box with Layer-wise Relevance Propagation.. Technical University of Berlin, Germany, (2019)