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Paul Johnson

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MTrainS: Improving DLRM training efficiency using heterogeneous memories

Apr 19, 2023
Hiwot Tadese Kassa, Paul Johnson, Jason Akers, Mrinmoy Ghosh, Andrew Tulloch, Dheevatsa Mudigere, Jongsoo Park, Xing Liu, Ronald Dreslinski, Ehsan K. Ardestani

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Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction

Dec 12, 2019
Hope Jasperson, Chas Bolton, Paul Johnson, Chris Marone, Maarten V. de Hoop

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Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application

Nov 29, 2017
Yue Wu, Youzuo Lin, Zheng Zhou, David Chas Bolton, Ji Liu, Paul Johnson

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A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data

Apr 08, 2014
Julian Wolfson, Sunayan Bandyopadhyay, Mohamed Elidrisi, Gabriela Vazquez-Benitez, Donald Musgrove, Gediminas Adomavicius, Paul Johnson, Patrick O'Connor

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