Joseph Aylett-Bullock

Orcid: 0000-0001-7551-3423

Affiliations:
  • United Nations, New York, NY, USA
  • Durham University, UK (PhD 2021)


According to our database1, Joseph Aylett-Bullock authored at least 16 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Modeling Population Movements under Uncertainty at the Border in Humanitarian Crises: A Situational Analysis Tool.
CoRR, 2023

Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
A Mixed-Method Approach to Determining Contact Matrices in the Cox's Bazar Refugee Settlement.
CoRR, 2022

Multi-AI Complex Systems in Humanitarian Response.
CoRR, 2022

2021
From Artificial Intelligence Bias to Inequality in the Time of COVID-19.
IEEE Technol. Soc. Mag., 2021

Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement.
PLoS Comput. Biol., 2021

Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19.
CoRR, 2021

Optimising simulations for diphoton production at hadron colliders using amplitude neural networks.
CoRR, 2021

Ensuring the Inclusive Use of NLP in the Global Response to COVID-19.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020
Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.
Remote. Sens., 2020

Artificial intelligence cooperation to support the global response to COVID-19.
Nat. Mach. Intell., 2020

Mapping the landscape of Artificial Intelligence applications against COVID-19.
J. Artif. Intell. Res., 2020

Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19.
CoRR, 2020

PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts.
CoRR, 2019

XNet: a convolutional neural network (CNN) implementation for medical x-ray image segmentation suitable for small datasets.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019


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