27 citations · 27 across the 2 of their papers we have counts for
3 papers
Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys
Federica Sibilla, Vasiliki Voukelatou, Duccio Piovani +4
Data scarcity limits inference in many scientific and policy domains. Survey data are essential for decision-making, but sparse samples often fail to capture fine spatial granulari…
Forecasting trends in food security with real time data
Joschka Herteux, Christoph Räth, Giulia Martini +4
Early warning systems are an essential tool for effective humanitarian action. Advance warnings on impending disasters facilitate timely and targeted response which help save lives…
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques
Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn +8
To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which in…