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Wilbert Van Panhuis

Willem G. van Panhuis

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affiliation: University of Pittsburgh, Graduate School of Public Health, PA, USA

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Journal Articles

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2020
[j3]
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  dblp key:
  - journals/ploscb/BrettALKGPVDR20
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  - https://dblp.org/rec/journals/ploscb/BrettALKGPVDR20
Tobias S. Brett, Marco Ajelli, Quan-Hui Liu, Mary G. Krauland, John J. Grefenstette, Willem G. van Panhuis, Alessandro Vespignani, John M. Drake, Pejman Rohani:
Detecting critical slowing down in high-dimensional epidemiological systems. PLoS Comput. Biol. 16(3) (2020)
2018
[j2]
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  - journals/jamia/PanhuisCB18
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  - https://dblp.org/rec/journals/jamia/PanhuisCB18
Willem G. van Panhuis, Anne Cross, Donald S. Burke:
Project Tycho 2.0: a repository to improve the integration and reuse of data for global population health. J. Am. Medical Informatics Assoc. 25(12): 1608-1617 (2018)
2016
[j1]
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  - journals/ploscb/DalzielBPBMG16
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  - https://dblp.org/rec/journals/ploscb/DalzielBPBMG16
Benjamin D. Dalziel, Ottar N. Bjørnstad, Willem G. van Panhuis, Donald S. Burke, C. Jessica E. Metcalf, Bryan T. Grenfell:
Persistent Chaos of Measles Epidemics in the Prevaccination United States Caused by a Small Change in Seasonal Transmission Patterns. PLoS Comput. Biol. 12(2) (2016)

Conference and Workshop Papers

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2018
[c4]
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Willem G. van Panhuis:
Project Tycho 2.0, Towards a FAIR Compliant Repository for Global Population Health. AMIA 2018
2017
[c3]
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  - conf/icdm/SongYLPSFZ17
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Hyun Ah Song, Fan Yang, Zongge Liu, Wilbert Van Panhuis, Nicholas D. Sidiropoulos, Christos Faloutsos, Vladimir Zadorozhny:
GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series. ICDM Workshops 2017: 494-501
2016
[c2]
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  - conf/aistats/HerlandsWNFNPX16
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William Herlands, Andrew Gordon Wilson, Hannes Nickisch, Seth R. Flaxman, Daniel B. Neill, Wilbert Van Panhuis, Eric P. Xing:
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. AISTATS 2016: 1013-1021
2014
[c1]
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  - conf/kdd/MatsubaraSPF14
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Yasuko Matsubara, Yasushi Sakurai, Willem G. van Panhuis, Christos Faloutsos:
FUNNEL: automatic mining of spatially coevolving epidemics. KDD 2014: 105-114

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