Hugh Chen

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Transfer Learning

Beat Classification

Physiological Signals

Bootstrap Sampling

Top Venues

Nat. Mac. Intell.

Nat. Mach. Intell.

Publications

Hugh Chen, Ian C. Covert, Scott M. Lundberg, Su-In Lee
Algorithms to estimate Shapley value feature attributions. Nat. Mac. Intell. 5 (6) (2023)
Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee
Contrastive Corpus Attribution for Explaining Representations. ICLR (2023)
Hugh Chen, Ian C. Covert, Scott M. Lundberg, Su-In Lee
Algorithms to estimate Shapley value feature attributions. CoRR (2022)
Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee
Contrastive Corpus Attribution for Explaining Representations. CoRR (2022)
Hugh Chen, Scott M. Lundberg, Su-In Lee
Explaining a Series of Models by Propagating Local Feature Attributions. CoRR (2021)
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)
Hugh Chen, Joseph D. Janizek, Scott M. Lundberg, Su-In Lee
True to the Model or True to the Data? CoRR (2020)
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 with explainable AI for trees. Nat. Mach. Intell. 2 (1) (2020)
Hugh Chen, Scott M. Lundberg, Gabriel G. Erion, Jerry H. Kim, Su-In Lee
Deep Transfer Learning for Physiological Signals. CoRR (2020)
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 Explanations to Global Understanding. CoRR (2019)
Hugh Chen, Scott M. Lundberg, Su-In Lee
Explaining Models by Propagating Shapley Values of Local Components. CoRR (2019)
Hugh Chen, Scott M. Lundberg, Su-In Lee
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data. CoRR (2018)
Gabriel G. Erion, Hugh Chen, Scott M. Lundberg, Su-In Lee
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning. CoRR (2017)
Hugh Chen, Scott M. Lundberg, Su-In Lee
Checkpoint Ensembles: Ensemble Methods from a Single Training Process. CoRR (2017)
Hugh Chen, Yusuf Erol, Eric Shen, Stuart J. Russell
Probabilistic Model-Based Approach for Heart Beat Detection. CoRR (2015)