Prediction of flood claims over the contiguous United States (CONUS) by building a classification/regression-hybrid machine learning scheme
- ADS bibcode
- 2020AGUFMH197.0014Y
- year
- 2020
- Listed Authors
- Yang, Q.
- Shen, X.
- Yang, F.
- He, K.
- Anagnostou, E. N.
- Seyyedi, H.
- Eggleston, J.
- Kettner, A.
- Listed Institutions
- College of Civil Engineering and Architecture, Guangxi University, Nanning, China
- Civil and Environmental Engineering, University of Connecticut, Storrs, CT, United States
- Civil and Environmental Engineering, University of Connecticut, Storrs, CT, United States
- Civil and Environmental Engineering, University of Connecticut, Groton, CT, United States
- Civil and Environmental Engineering, University of Connecticut, Groton, CT, United States
- Civil and Environmental Engineering, University of Connecticut, Storrs, CT, United States
- Swiss Re America Holding Corporation, Schaumburg, IL, United States
- Hydrologic Remote Sensing Branch, U.S. Geological Survey, Leetown, WV, United States
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Linked Institutions