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Richard Barnes
Ph.D
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Richard's most recent research has focused on the development of efficient algorithms and implementations for analyzing graphs and networks, especially in the context of large geospatial problems. Through collaborations at UC Berkeley, Lawrence Berkeley National Lab, and MIT's Computer Science and Artificial Intelligence Laboratory, this work is having impacts on inverse problem solving in geomorphology, electoral gerrymandering, and genome sequencing.
Papers35 papers
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Earth Surface Dynamics Discussions, pp.1-22, (2020)
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event..., pp.3243-3251, (2020)
Earth Surface Dynamics Discussions, (2019)
AGUFM, (2019): H53B-02
Int. J. Digital Earth, no. 7 (2019): 803-816
Cited by5EIBibtex
Kelly Kochanski, Gian-Carlo Defazio, Eric Green,Richard Barnes, Carlos Downie, Adam Rubin, Barry Rountree
Journal of Open Source Software, (2019)
arXiv: Computers and Society, (2018)
AGUFM, (2018): EP32A-03
Geomorphology, (2018): 28-39
AGUFM, (2018): H11O-1647
Environmental Modelling and Software, no. C (2017): 202-212
Computers & Geosciences, no. C (2016): 56-68
Lee R. DeHaan, David L. Van Tassel,James A. Anderson, Sean R. Asselin,Richard Barnes,Gregory J. Baute, Douglas J. Cattani, Steve W. Culman,Kevin M. Dorn,Brent S. Hulke,Michael B. Kantar,Steve R. Larson
Crop Science, no. 3 (2016): 917-930
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arXiv: Distributed, Parallel, and Cluster Computing, (2016)
Crop Science, (2014)
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