347 citations · 539 across the 10 of their papers we have counts for
10 papers
Modeling Population Movements under Uncertainty at the Border in Humanitarian Crises: A Situational Analysis Tool
Arturo de Nieves Gutierrez de Rubalcava, Oscar Sanchez Piñeiro, Rebeca Moreno Jiménez +10
Humanitarian agencies must be prepared to mobilize quickly in response to complex emergencies, and their effectiveness depends on their ability to identify, anticipate, and prepare…
Multi-AI Complex Systems in Humanitarian Response
Joseph Aylett-Bullock, Miguel Luengo-Oroz
AI is being increasingly used to aid response efforts to humanitarian emergencies at multiple levels of decision-making. Such AI systems are generally understood to be stand-alone…
Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19
Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam +2
Natural language processing (NLP) plays a significant role in tools for the COVID-19 pandemic response, from detecting misinformation on social media to helping to provide accurate…
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
Joseph Aylett-Bullock, Simon Badger, Ryan Moodie
Machine learning technology has the potential to dramatically optimise event generation and simulations. We continue to investigate the use of neural networks to approximate matrix…
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…
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…
Using neural networks for efficient evaluation of high multiplicity scattering amplitudes
Simon Badger, Joseph Bullock
Precision theoretical predictions for high multiplicity scattering rely on the evaluation of increasingly complicated scattering amplitudes which come with an extremely high CPU co…
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…
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts
Joseph Bullock, Miguel Luengo-Oroz
Automated text generation has been applied broadly in many domains such as marketing and robotics, and used to create chatbots, product reviews and write poetry. The ability to syn…
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets
Joseph Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull
X-Ray image enhancement, along with many other medical image processing applications, requires the segmentation of images into bone, soft tissue, and open beam regions. We apply a…