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Improving performance of deep learning models with axiomatic attribution priors and expected gradients.

, , , , and . Nat. Mach. Intell., 3 (7): 620-631 (2021)

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An adversarial approach for the robust classification of pneumonia from chest radiographs., , , and . CHIL, page 69-79. ACM, (2020)Learning Explainable Models Using Attribution Priors., , , , and . CoRR, (2019)Consistent Individualized Feature Attribution for Tree Ensembles., , and . CoRR, (2018)Explainable AI for Trees: From Local Explanations to Global Understanding., , , , , , , , , and . CoRR, (2019)From local explanations to global understanding with explainable AI for trees., , , , , , , , , and . Nat. Mach. Intell., 2 (1): 56-67 (2020)Forecasting adverse surgical events using self-supervised transfer learning for physiological signals., , , , and . npj Digit. Medicine, (2021)Improving performance of deep learning models with axiomatic attribution priors and expected gradients., , , , and . Nat. Mach. Intell., 3 (7): 620-631 (2021)Deep Transfer Learning for Physiological Signals., , , , and . CoRR, (2020)New AI Frameworks for Real-World Clinical Prediction.. University of Washington, USA, (2021)Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning., , , and . CoRR, (2017)