Probabilistic Model-Based Approach for Heart Beat Detection. - Hugh Chen; Yusuf Erol; Eric Shen; Stuart Russell 001 (CoRR, 2015)

Checkpoint Ensembles: Ensemble Methods from a Single Training Process. - Hugh Chen; Scott M. Lundberg; Su-In Lee (CoRR, 2017)

Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning. - Gabriel G. Erion; Hugh Chen; Scott M. Lundberg; Su-In Lee (CoRR, 2017)

Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data. - Hugh Chen; Scott M. Lundberg; Su-In Lee (CoRR, 2018)

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 (CoRR, 2019)

Explaining Models by Propagating Shapley Values of Local Components. - Hugh Chen; Scott M. Lundberg; Su-In Lee (CoRR, 2019)

Deep Transfer Learning for Physiological Signals. - Hugh Chen; Scott M. Lundberg; Gabriel G. Erion; Jerry H. Kim; Su-In Lee (CoRR, 2020)

True to the Model or True to the Data? - Hugh Chen; Joseph D. Janizek; Scott M. Lundberg; Su-In Lee (CoRR, 2020)

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 (Nat. Mach. Intell., 2020)

Explaining a Series of Models by Propagating Local Feature Attributions. - Hugh Chen; Scott M. Lundberg; Su-In Lee (CoRR, 2021)

Forecasting adverse surgical events using self-supervised transfer learning for physiological signals. - Hugh Chen; Scott M. Lundberg; Gabriel G. Erion; Jerry H. Kim; Su-In Lee (npj Digit. Medicine, 2021)

Algorithms to Estimate Shapley Value Feature Attributions - Hugh Chen (2022)

Contrastive Corpus Attribution for Explaining Representations. - Chris Lin; Hugh Chen; Chanwoo Kim 002; Su-In Lee (ICLR, 2023)

Algorithms to estimate Shapley value feature attributions. - Hugh Chen; Ian C. Covert; Scott M. Lundberg; Su-In Lee (Nat. Mac. Intell., 2023)