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An Implicit Representation of Chordal Comparabilty Graphs in Linear-Time.
Andrew R. Curtis, Clemente Izurieta, Benson L. Joeris, Scott M. Lundberg, Ross M. McConnell: An Implicit Representation of Chordal Comparabilty Graphs in Linear-Time. WG 2006: 168-178
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Top down image segmentation using congealing and graph-cut.
Douglas Moore, John Stevens, Scott M. Lundberg, Bruce A. Draper: Top down image segmentation using congealing and graph-cut. ICPR 2008: 1-4
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O(m logn) Split Decomposition of Strongly Connected Graphs.
Benson L. Joeris, Scott M. Lundberg, Ross M. McConnell: O(m logn) Split Decomposition of Strongly Connected Graphs. Graph Theory, Computational Intelligence and Thought 2009: 158-171
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Analysis of CBRN sensor fusion methods.
Scott M. Lundberg, Randy C. Paffenroth, Jason Yosinski: Analysis of CBRN sensor fusion methods. FUSION 2010: 1-8
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An implicit representation of chordal comparability graphs in linear time.
Andrew R. Curtis, Clemente Izurieta, Benson L. Joeris, Scott M. Lundberg, Ross M. McConnell: An implicit representation of chordal comparability graphs in linear time. Discret. Appl. Math. 158(8):...
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O(mlogn) split decomposition of strongly-connected graphs.
Benson L. Joeris, Scott M. Lundberg, Ross M. McConnell: O(mlogn) split decomposition of strongly-connected graphs. Discret. Appl. Math. 158(7): 779-799 (2010)
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An unexpected unity among methods for interpreting model predictions.
Scott M. Lundberg, Su-In Lee: An unexpected unity among methods for interpreting model predictions. CoRR abs/1611.07478 (2016)
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CloudControl: Leveraging many public ChIP-seq control experiments to better...
Naozumi Hiranuma, Scott M. Lundberg, Su-In Lee: CloudControl: Leveraging many public ChIP-seq control experiments to better remove background noise. BCB 2016: 191-199
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Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using...
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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Checkpoint Ensembles: Ensemble Methods from a Single Training Process.
Hugh Chen, Scott M. Lundberg, Su-In Lee: Checkpoint Ensembles: Ensemble Methods from a Single Training Process. CoRR abs/1710.03282 (2017)
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Consistent feature attribution for tree ensembles.
Scott M. Lundberg, Su-In Lee: Consistent feature attribution for tree ensembles. CoRR abs/1706.06060 (2017)
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A unified approach to interpreting model predictions.
Scott M. Lundberg, Su-In Lee: A unified approach to interpreting model predictions. CoRR abs/1705.07874 (2017)
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A Unified Approach to Interpreting Model Predictions.
Scott M. Lundberg, Su-In Lee: A Unified Approach to Interpreting Model Predictions. NIPS 2017: 4765-4774
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Consistent Individualized Feature Attribution for Tree Ensembles.
Scott M. Lundberg, Gabriel G. Erion, Su-In Lee: Consistent Individualized Feature Attribution for Tree Ensembles. CoRR abs/1802.03888 (2018)
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Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating...
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)
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Explaining Models by Propagating Shapley Values of Local Components.
Hugh Chen, Scott M. Lundberg, Su-In Lee: Explaining Models by Propagating Shapley Values of Local Components. CoRR abs/1911.11888 (2019)
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Learning Explainable Models Using Attribution Priors.
Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee: Learning Explainable Models Using Attribution Priors. CoRR abs/1906.10670 (2019)
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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: Explainable AI for Trees: From Local...
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Explainable Machine Learning for Science and Medicine.
Scott M. Lundberg: Explainable Machine Learning for Science and Medicine. University of Washington, USA, 2019
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Explaining by Removing: A Unified Framework for Model Explanation.
Ian Covert, Scott M. Lundberg, Su-In Lee: Explaining by Removing: A Unified Framework for Model Explanation. CoRR abs/2011.14878 (2020)
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