Gabriel G. Erion Barner
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From local explanations to global understanding with explainable AI for trees
SM Lundberg, G Erion, H Chen, A DeGrave, JM Prutkin, B Nair, R Katz, ...
Nature machine intelligence 2 (1), 56-67, 2020
Improving performance of deep learning models with axiomatic attribution priors and expected gradients
G Erion, JD Janizek, P Sturmfels, SM Lundberg, SI Lee
Nature machine intelligence 3 (7), 620-631, 2021
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals
H Chen, SM Lundberg, G Erion, JH Kim, SI Lee
NPJ Digital Medicine 4 (1), 167, 2021
An adversarial approach for the robust classification of pneumonia from chest radiographs
JD Janizek, G Erion, AJ DeGrave, SI Lee
Proceedings of the ACM conference on health, inference, and learning, 69-79, 2020
A cost-aware framework for the development of AI models for healthcare applications
G Erion, JD Janizek, C Hudelson, RB Utarnachitt, AM McCoy, MR Sayre, ...
Nature Biomedical Engineering 6 (12), 1384-1398, 2022
Barley yellow dwarf virus effects on cereal plant growth and transpiration
GG Erion, WE Riedell
Crop science 52 (6), 2794-2799, 2012
Viral genetic linkage analysis in the presence of missing data
SH Liu, G Erion, V Novitsky, VD Gruttola
PLoS One 10 (8), e0135469, 2015
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning
G Erion, H Chen, SM Lundberg, SI Lee
arXiv preprint arXiv:1712.00563, 2017
Deep transfer learning for physiological signals
H Chen, S Lundberg, G Erion, JH Kim, SI Lee
arXiv preprint arXiv:2002.04770, 2020
New AI Frameworks for Real-World Clinical Prediction
GG Erion
University of Washington, 2021
Physiological Signal Embeddings (PHASE) via Interpretable Stacked Models
H Chen, S Lundberg, G Erion, SI Lee
Addressing Missing Data in Viral Genetic Linkage Analysis Through Multiple Imputation and Subsampling-Based Likelihood Optimization
GG Erion
CUTTING-EDGE ANESTHESIA: Visualizing patient vital signs during surgery
G Erion, A Okeson, J Pineda
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