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
SM Lundberg, SI Lee
Advances in neural information processing systems, 4765-4774, 2017
10362017
Consistent individualized feature attribution for tree ensembles
SM Lundberg, GG Erion, SI Lee
arXiv preprint arXiv:1802.03888, 2018
1542018
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
912018
An unexpected unity among methods for interpreting model predictions
S Lundberg, SI Lee
arXiv preprint arXiv:1611.07478, 2016
562016
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
502018
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
282019
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), 82, 2016
252016
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), 2522-5839, 2020
232020
Consistent feature attribution for tree ensembles
SM Lundberg, SI Lee
arXiv preprint arXiv:1706.06060, 2017
212017
Checkpoint ensembles: Ensemble methods from a single training process
H Chen, S Lundberg, SI Lee
arXiv preprint arXiv:1710.03282, 2017
122017
Learning explainable models using attribution priors
G Erion, JD Janizek, P Sturmfels, S Lundberg, SI Lee
arXiv preprint arXiv:1906.10670, 2019
82019
Lossy compression of data points using point-wise error constraints
RC Paffenroth, R Nong, WD Leed, SM Lundberg
US Patent 8,811,758, 2014
72014
Design Without Borders: A Multi-Everything Masters
J Stevens
Proceedings from 3rd International Conference for Design Education …, 2015
42015
O(m logn) Split Decomposition of Strongly Connected Graphs
BL Joeris, S Lundberg, RM McConnell
Graph Theory, Computational Intelligence and Thought, 158-171, 2009
42009
An implicit representation of chordal comparabilty graphs in linear-time
AR Curtis, C Izurieta, B Joeris, S Lundberg, RM McConnell
International Workshop on Graph-Theoretic Concepts in Computer Science, 168-178, 2006
42006
AIControl: Replacing matched control experiments with machine learning improves ChIP-seq peak identification
N Hiranuma, SM Lundberg, SI Lee
Nucleic acids research 47 (10), e58-e58, 2019
32019
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data
H Chen, S Lundberg, SI Lee
arXiv preprint arXiv:1801.07384, 2018
32018
CloudControl: Leveraging many public ChIP-seq control experiments to better remove background noise
N Hiranuma, S Lundberg, SI Lee
Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016
32016
An implicit representation of chordal comparability graphs in linear time
AR Curtis, C Izurieta, B Joeris, S Lundberg, RM McConnell
Discrete applied mathematics 158 (8), 869-875, 2010
32010
Visualizing the Impact of Feature Attribution Baselines
P Sturmfels, S Lundberg, SI Lee
Distill 5 (1), e22, 2020
22020
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