292 citations · 401 across the 16 of their papers we have counts for
18 papers
On solving decision and risk management problems subject to uncertainty
Alexander Gutfraind
Uncertainty is a pervasive challenge in decision and risk management and it is usually studied by quantification and modeling. Interestingly, engineers and other decision makers us…
Using massive health insurance claims data to predict very high-cost claimants: a machine learning approach
José M. Maisog, Wenhong Li, Yanchun Xu +10
Due to escalating healthcare costs, accurately predicting which patients will incur high costs is an important task for payers and providers of healthcare. High-cost claimants (HiC…
Risk analysis beyond vulnerability and resilience - characterizing the defensibility of critical systems
Vicki Bier, Alexander Gutfraind
A common problem in risk analysis is to characterize the overall security of a system of valuable assets (e.g., government buildings or communication hubs), and to suggest measures…
Multiscale Planar Graph Generation
Varsha Chauhan, Alexander Gutfraind, Ilya Safro
The study of network representations of physical, biological, and social phenomena can help us better understand the structural and functional dynamics of their networks and formul…
Generating realistic scaled complex networks
Christian L. Staudt, Michael Hamann, Alexander Gutfraind +2
Research on generative models is a central project in the emerging field of network science, and it studies how statistical patterns found in real networks could be generated by fo…
Operational resilience: concepts, design and analysis
Alexander A. Ganin, Emanuele Massaro, Alexander Gutfraind +5
Building resilience into today's complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics,…