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David Jay Wald
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2020 – today
- 2024
- [c3]Xuechun Li, Runyu Gao, Paula M. Bürgi, David Jay Wald, Susu Xu:
Optimizing Rapid Seismic Building Damage Assessment: Integrating Enhanced Radar Change Detection Maps with Variational Bayesian Networks. IGARSS 2024: 3791-3795 - 2023
- [c2]Xuechun Li, Paula M. Bürgi, Wei Ma, Hae Young Noh, David Jay Wald, Susu Xu:
DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. KDD 2023: 4391-4403 - [i2]Chenguang Wang, Davis Engler, Xuechun Li, James Hou, David Jay Wald, Kishor Jaiswal, Susu Xu:
Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models. CoRR abs/2312.03755 (2023) - 2022
- [i1]Susu Xu, Joshua Dimasaka, David Jay Wald, Hae Young Noh:
Bayesian Updating of Seismic Ground Failure Estimates via Causal Graphical Models and Satellite Imagery. CoRR abs/2204.07653 (2022)
2010 – 2019
- 2019
- [j2]William D. Barnhart, Gavin P. Hayes, David Jay Wald:
Global Earthquake Response with Imaging Geodesy: Recent Examples from the USGS NEIC. Remote. Sens. 11(11): 1357 (2019) - 2017
- [j1]Sarah A. Verros, David Jay Wald, C. Bruce Worden, Mike Hearne, Mahadevan Ganesh:
Computing spatial correlation of ground motion intensities for ShakeMap. Comput. Geosci. 99: 145-154 (2017) - 2013
- [c1]David Jay Wald:
Adding secondary hazard and ground-truth observations to PAGER's loss modeling. ISCRAM 2013
Coauthor Index
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