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Matthew Burgess

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affiliation: Google, Mountain View, CA, USA
affiliation: University of Michigan, Ann Arbor, Department of Electrical Engineering and Computer Science, MI, USA

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2020 – today

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2020
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Minsu Kim, Seonkyung Park, Jeffrey Irwin, Collin McCormick, Jeffrey Danielson, Gregory Stensaas, Aparajithan Sampath, Mark Bauer, Matthew Burgess:
Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project. Remote. Sens. 12(12): 1974 (2020)

2010 – 2019

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2019
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Dan Brickley, Matthew Burgess, Natasha F. Noy:
Google Dataset Search: Building a search engine for datasets in an open Web ecosystem. WWW 2019: 1365-1375
2016
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Matthew Burgess:
Network Analysis on Incomplete Structures. University of Michigan, USA, 2016
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Matthew Burgess, Eugenia Giraudy, Eytan Adar:
Prototype Synthesis for Model Laws. ACL (1) 2016
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Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar:
SimpleScience: Lexical Simplification of Scientific Terminology. EMNLP 2016: 1066-1071
[c4]
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Matthew Burgess, Eugenia Giraudy, Julian Katz-Samuels, Joe Walsh, Derek Willis, Lauren Haynes, Rayid Ghani:
The Legislative Influence Detector: Finding Text Reuse in State Legislation. KDD 2016: 57-66
2015
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Matthew Burgess, Eytan Adar, Michael J. Cafarella:
Link-Prediction Enhanced Consensus Clustering for Complex Networks. CoRR abs/1506.01461 (2015)
2013
[c3]
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Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang:
Brainwash: A Data System for Feature Engineering. CIDR 2013
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Andrew DeOrio, Qingkun Li, Matthew Burgess, Valeria Bertacco:
Machine learning-based anomaly detection for post-silicon bug diagnosis. DATE 2013: 491-496
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Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael J. Cafarella:
Leveraging Noisy Lists for Social Feed Ranking. ICWSM 2013

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