A unified approach to interpreting model predictions SM Lundberg, SI Lee
Advances in neural information processing systems 30, 2017
21703 2017 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
4027 2020 Consistent individualized feature attribution for tree ensembles SM Lundberg, GG Erion, SI Lee
arXiv preprint arXiv:1802.03888, 2018
1896 2018 Sequencing of Aspergillus nidulans and comparative analysis with A. fumigatus and A. oryzae JE Galagan, SE Calvo, C Cuomo, LJ Ma, JR Wortman, S Batzoglou, ...
Nature 438 (7071), 1105-1115, 2005
1607 2005 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
1355 2018 Massively parallel functional dissection of mammalian enhancers in vivo RP Patwardhan, JB Hiatt, DM Witten, MJ Kim, RP Smith, D May, C Lee, ...
Nature biotechnology 30 (3), 265-270, 2012
598 2012 Efficient l~ 1 regularized logistic regression SI Lee, H Lee, P Abbeel, AY Ng
Aaai 6, 401-408, 2006
537 2006 AI for radiographic COVID-19 detection selects shortcuts over signal AJ DeGrave, JD Janizek, SI Lee
Nature Machine Intelligence 3 (7), 610-619, 2021
515 2021 Learning generative models for protein fold families S Balakrishnan, H Kamisetty, JG Carbonell, SI Lee, CJ Langmead
Proteins: Structure, Function, and Bioinformatics 79 (4), 1061-1078, 2011
376 2011 Application of independent component analysis to microarrays SI Lee, S Batzoglou
Genome biology 4, 1-21, 2003
364 2003 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
341 2019 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), 42, 2018
317 2018 Efficient Structure Learning of Markov Networks using -Regularization SI Lee, V Ganapathi, D Koller
Advances in neural Information processing systems, 2006
306 2006 Understanding global feature contributions with additive importance measures I Covert, SM Lundberg, SI Lee
Advances in Neural Information Processing Systems 33, 17212-17223, 2020
298 2020 The proteomic landscape of triple-negative breast cancer RT Lawrence, EM Perez, D Hernández, CP Miller, KM Haas, HY Irie, ...
Cell reports 11 (4), 630-644, 2015
240 2015 Explaining by removing: A unified framework for model explanation I Covert, S Lundberg, SI Lee
Journal of Machine Learning Research 22 (209), 1-90, 2021
238 * 2021 Learning a meta-level prior for feature relevance from multiple related tasks SI Lee, V Chatalbashev, D Vickrey, D Koller
Proceedings of the 24th international conference on Machine learning, 489-496, 2007
229 2007 Node-based learning of multiple Gaussian graphical models K Mohan, P London, M Fazel, D Witten, SI Lee
The Journal of Machine Learning Research 15 (1), 445-488, 2014
226 2014 Learning a prior on regulatory potential from eQTL data SI Lee, AM Dudley, D Drubin, PA Silver, NJ Krogan, D Pe'er, D Koller
PLoS genetics 5 (1), e1000358, 2009
226 2009 Visualizing the impact of feature attribution baselines P Sturmfels, S Lundberg, SI Lee
Distill 5 (1), e22, 2020
191 2020