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Scott M Lundberg

Showing results (1-10 of 7) with videos related to

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Nature Communications|August 3, 2022
Explaining a series of models by propagating Shapley valuesHugh Chen, Scott M Lundberg, Su-In Lee
Nucleic Acids Research|March 15, 2019
AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identificationNaozumi Hiranuma, Scott M Lundberg, Su-In Lee
NPJ Digital Medicine|December 9, 2021
Forecasting adverse surgical events using self-supervised transfer learning for physiological signalsHugh Chen, Scott M Lundberg, Gabriel Erion, et al.
Genome Biology|May 4, 2016
ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq dataScott M Lundberg, William B Tu, Brian Raught, et al.
Nature Machine Intelligence|July 2, 2020
From Local Explanations to Global Understanding with Explainable AI for TreesScott M Lundberg, Gabriel Erion, Hugh Chen, et al.
Nature Biomedical Engineering|April 20, 2019
Explainable machine-learning predictions for the prevention of hypoxaemia during surgeryScott M Lundberg, Bala Nair, Monica S Vavilala, et al.
Nature Communications|January 5, 2018
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemiaSu-In Lee, Safiye Celik, Benjamin A Logsdon, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Nature Communications|August 3, 2022
Explaining a series of models by propagating Shapley valuesHugh Chen, Scott M Lundberg, Su-In Lee
Nucleic Acids Research|March 15, 2019
AIControl: replacing matched control experiments with machine learning improves ChIP-seq peak identificationNaozumi Hiranuma, Scott M Lundberg, Su-In Lee
NPJ Digital Medicine|December 9, 2021
Forecasting adverse surgical events using self-supervised transfer learning for physiological signalsHugh Chen, Scott M Lundberg, Gabriel Erion, et al.
Genome Biology|May 4, 2016
ChromNet: Learning the human chromatin network from all ENCODE ChIP-seq dataScott M Lundberg, William B Tu, Brian Raught, et al.
Nature Machine Intelligence|July 2, 2020
From Local Explanations to Global Understanding with Explainable AI for TreesScott M Lundberg, Gabriel Erion, Hugh Chen, et al.
Nature Biomedical Engineering|April 20, 2019
Explainable machine-learning predictions for the prevention of hypoxaemia during surgeryScott M Lundberg, Bala Nair, Monica S Vavilala, et al.
Nature Communications|January 5, 2018
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemiaSu-In Lee, Safiye Celik, Benjamin A Logsdon, et al.
Pageof 1