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Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training., , , and . CVPR Workshops, page 3096-3104. Computer Vision Foundation / IEEE, (2020)Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models., and . CoRR, (2022)ECG Feature Importance Rankings: Cardiologists vs. Algorithms., , , , , , , , , and . CoRR, (2023)Towards Quantitative Precision for ECG Analysis: Leveraging State Space Models, Self-Supervision and Patient Metadata., and . IEEE J. Biomed. Health Informatics, 27 (11): 5326-5334 (November 2023)ECG Feature Importance Rankings: Cardiologists Vs. Algorithms., , , , , , , , , and . IEEE J. Biomed. Health Informatics, 28 (4): 2014-2024 (April 2024)Self-supervised representation learning from 12-lead ECG data., and . Comput. Biol. Medicine, (2022)Multi-Class ECG Feature Importance Rankings: Cardiologists vs Algorithms., , , , , , , , , and . CinC, page 1-4. IEEE, (2022)Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery., , , and . CoRR, (2023)Self-supervised representation learning from 12-lead ECG data., and . CoRR, (2021)