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Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using...
Gabriel G. Erion, Hugh Chen, Scott M. Lundberg, Su-In Lee: Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning. CoRR abs/1712.00563 (2017)
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Consistent Individualized Feature Attribution for Tree Ensembles.
Scott M. Lundberg, Gabriel G. Erion, Su-In Lee: Consistent Individualized Feature Attribution for Tree Ensembles. CoRR abs/1802.03888 (2018)
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Learning Explainable Models Using Attribution Priors.
Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee: Learning Explainable Models Using Attribution Priors. CoRR abs/1906.10670 (2019)
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Explainable AI for Trees: From Local Explanations to Global Understanding.
Scott M. Lundberg, Gabriel G. Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee: Explainable AI for Trees: From Local...
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Deep Transfer Learning for Physiological Signals.
Hugh Chen, Scott M. Lundberg, Gabriel G. Erion, Jerry H. Kim, Su-In Lee: Deep Transfer Learning for Physiological Signals. CoRR abs/2002.04770 (2020)
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An Adversarial Approach for the Robust Classification of Pneumonia from Chest...
Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee: An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs. CoRR abs/2001.04051 (2020)
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An adversarial approach for the robust classification of pneumonia from chest...
Joseph D. Janizek, Gabriel G. Erion, Alex J. DeGrave, Su-In Lee: An adversarial approach for the robust classification of pneumonia from chest radiographs. CHIL 2020: 69-79
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From local explanations to global understanding with explainable AI for trees.
Scott M. Lundberg, Gabriel G. Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su-In Lee: From local explanations to global understanding...
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Forecasting adverse surgical events using self-supervised transfer learning...
Hugh Chen, Scott M. Lundberg, Gabriel G. Erion, Jerry H. Kim, Su-In Lee: Forecasting adverse surgical events using self-supervised transfer learning for physiological signals. npj Digit. Medicine 4 (2021)
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Improving performance of deep learning models with axiomatic attribution...
Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee: Improving performance of deep learning models with axiomatic attribution priors and expected gradients. Nat. Mach....
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New AI Frameworks for Real-World Clinical Prediction.
Gabriel G. Erion: New AI Frameworks for Real-World Clinical Prediction. University of Washington, USA, 2021
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