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Explaining deep neural networks and beyond: A review of methods and applications, , , , and . Proceedings of the IEEE, 109 (3): 247--278 (2021)Explaining Machine Learning Models for Clinical Gait Analysis., , , , , , , , , and . ACM Trans. Comput. Heal., 3 (2): 14:1-14:27 (2022)Finding and removing Clever Hans: Using explanation methods to debug and improve deep models., , , , , and . Inf. Fusion, (2022)Towards Explainable Artificial Intelligence., and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding., , , and . IEEE Trans. Netw. Sci. Eng., 9 (4): 2025-2038 (2022)Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning., , , , , and . CoRR, (2019)History Dependent Significance Coding for Incremental Neural Network Compression., , , , , , , , , and . ICIP, page 3541-3545. IEEE, (2022)Achieving Generalizable Robustness of Deep Neural Networks by Stability Training., , and . GCPR, volume 11824 of Lecture Notes in Computer Science, page 360-373. Springer, (2019)Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond., , , , and . CoRR, (2020)Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning., , , , , , and . CVPR Workshops, page 3366-3375. IEEE, (2022)