347 citations · 565 across the 16 of their papers we have counts for
4 papers · 1 filter
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19
Alexandra Luccioni, Joseph Bullock, Katherine Hoffmann Pham +2
The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligenc…
From plague to coronavirus: On the value of ship traffic data for epidemic modeling
Katherine Hoffmann Pham, Miguel Luengo-Oroz
In addition to moving people and goods, ships can spread disease. Ship traffic may complement air traffic as a source of import risk, and cruise ships - with large passenger volume…
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August…
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
Tomaz Logar, Joseph Bullock, Edoardo Nemni +3
Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis. In a humanitarian context, very specific satellite image analysis tasks must b…