Scott Lundberg
Scott Lundberg
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
A unified approach to interpreting model predictions
S Lundberg, SI Lee
arXiv preprint arXiv:1705.07874, 2017
31002017
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
4262020
Consistent individualized feature attribution for tree ensembles
SM Lundberg, GG Erion, SI Lee
arXiv preprint arXiv:1802.03888, 2018
3882018
Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
SM Lundberg, B Nair, MS Vavilala, M Horibe, MJ Eisses, T Adams, ...
Nature biomedical engineering 2 (10), 749-760, 2018
2762018
Advances in neural information processing systems
SM Lundberg, SI Lee, I Guyon
New York: Curran Associates, 2017
992017
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
SI Lee, S Celik, BA Logsdon, SM Lundberg, TJ Martins, VG Oehler, ...
Nature communications 9 (1), 1-13, 2018
972018
Explainable AI for trees: From local explanations to global understanding
SM Lundberg, G Erion, H Chen, A DeGrave, JM Prutkin, B Nair, R Katz, ...
arXiv preprint arXiv:1905.04610, 2019
822019
An unexpected unity among methods for interpreting model predictions
S Lundberg, SI Lee
arXiv preprint arXiv:1611.07478, 2016
722016
Learning explainable models using attribution priors
G Erion, JD Janizek, P Sturmfels, S Lundberg, SI Lee
arXiv preprint arXiv:1906.10670, 2019
362019
Consistent feature attribution for tree ensembles
SM Lundberg, SI Lee
arXiv preprint arXiv:1706.06060, 2017
332017
ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq data
SM Lundberg, WB Tu, B Raught, LZ Penn, MM Hoffman, SI Lee
Genome biology 17 (1), 1-19, 2016
292016
Visualizing the impact of feature attribution baselines
P Sturmfels, S Lundberg, SI Lee
Distill 5 (1), e22, 2020
282020
Checkpoint ensembles: Ensemble methods from a single training process
H Chen, S Lundberg, SI Lee
arXiv preprint arXiv:1710.03282, 2017
262017
Explaining models by propagating Shapley values of local components
H Chen, S Lundberg, SI Lee
Explainable AI in Healthcare and Medicine, 261-270, 2021
182021
True to the Model or True to the Data?
H Chen, JD Janizek, S Lundberg, SI Lee
arXiv preprint arXiv:2006.16234, 2020
142020
Understanding global feature contributions with additive importance measures
I Covert, S Lundberg, SI Lee
Advances in Neural Information Processing Systems 33, 2020
132020
Understanding global feature contributions through additive importance measures
I Covert, S Lundberg, SI Lee
arXiv preprint arXiv:2004.00668, 2020
122020
Lossy compression of data points using point-wise error constraints
RC Paffenroth, R Nong, WD Leed, SM Lundberg
US Patent 8,811,758, 2014
112014
Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery
SM Lundberg, B Nair, MS Vavilala, M Horibe, MJ Eisses, T Adams, ...
bioRxiv, 206540, 2017
92017
Hybrid gradient boosting trees and neural networks for forecasting operating room data
H Chen, S Lundberg, SI Lee
arXiv preprint arXiv:1801.07384, 2018
72018
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