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Journal of Environmental Management|September 28, 2025
Comparison of different machine learning techniques for downscaling SMAP and NLDAS soil moisture over CONUSEshita A Eva, Steven M Quiring
Risk Analysis : an Official Publication of the Society for Risk Analysis|December 30, 2016
The Use of Simulation to Reduce the Domain of "Black Swans" with Application to Hurricane Impacts to Power SystemsChristine L Berner, Andrea Staid, Roger Flage, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|February 6, 2016
Tutorial: Parallel Computing of Simulation Models for Risk AnalysisAllison C Reilly, Andrea Staid, Michael Gao, et al.
Plos One|September 28, 2017
Evolution of vulnerability of communities facing repeated hazardsAllison C Reilly, Seth D Guikema, Laiyin Zhu, et al.
JCO Clinical Cancer Informatics|January 19, 2019
Predicting Patient Treatment Deferrals at an Outpatient Chemotherapy Infusion Center: A Statistical ApproachDonald B Richardson, Seth D Guikema, Amy E M Cohn
Risk Analysis : an Official Publication of the Society for Risk Analysis|January 22, 2005
On the limitations of redundancies in the improvement of system reliabilityM Elisabeth Paté-Cornell, Robin L Dillon, Seth D Guikema
Risk Analysis : an Official Publication of the Society for Risk Analysis|October 25, 2013
Power outage estimation for tropical cyclones: improved accuracy with simpler modelsRoshanak Nateghi, Seth Guikema, Steven M Quiring
Risk Analysis : an Official Publication of the Society for Risk Analysis|May 16, 2015
Critical Assessment of the Foundations of Power Transmission and Distribution Reliability Metrics and StandardsRoshanak Nateghi, Seth D Guikema, Yue Grace Wu, et al.
Surgery|June 29, 2021
A machine learning approach for the prediction of overall deceased donor organ yieldWesley J Marrero, Mariel S Lavieri, Seth D Guikema, et al.
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