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ORCIDSu-In Lee
Publications
- 2023
[j14]Hugh Chen
, Ian C. Covert, Scott M. Lundberg, Su-In Lee:
Algorithms to estimate Shapley value feature attributions. Nat. Mac. Intell. 5(6): 590-601 (2023)- [c29]Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee:
Contrastive Corpus Attribution for Explaining Representations. ICLR 2023 - 2022
- [i25]Hugh Chen, Ian C. Covert, Scott M. Lundberg, Su-In Lee:
Algorithms to estimate Shapley value feature attributions. CoRR abs/2207.07605 (2022) - [i24]Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee:
Contrastive Corpus Attribution for Explaining Representations. CoRR abs/2210.00107 (2022) - 2021
- [j9]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) - [i23]Hugh Chen, Scott M. Lundberg, Su-In Lee:
Explaining a Series of Models by Propagating Local Feature Attributions. CoRR abs/2105.00108 (2021) - 2020
- [j5]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): 56-67 (2020) - [i18]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) - [i16]Hugh Chen, Joseph D. Janizek, Scott M. Lundberg, Su-In Lee:
True to the Model or True to the Data? CoRR abs/2006.16234 (2020) - 2019
- [i12]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 abs/1905.04610 (2019) - [i10]Hugh Chen, Scott M. Lundberg, Su-In Lee:
Explaining Models by Propagating Shapley Values of Local Components. CoRR abs/1911.11888 (2019) - 2018
- [i8]Hugh Chen, Scott M. Lundberg, Su-In Lee:
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data. CoRR abs/1801.07384 (2018) - 2017
- [i4]Hugh Chen, Scott M. Lundberg, Su-In Lee:
Checkpoint Ensembles: Ensemble Methods from a Single Training Process. CoRR abs/1710.03282 (2017) - [i3]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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