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Joseph Aylett-Bullock
Joseph Aylett-Bullock
Data Scientist, United Nations Department of Peace Operations
Verified email at durham.ac.uk - Homepage
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Cited by
Cited by
Year
Mapping the landscape of artificial intelligence applications against COVID-19
J Bullock, A Luccioni, KH Pham, CSN Lam, M Luengo-Oroz
Journal of Artificial Intelligence Research 69, 807-845, 2020
5502020
Artificial intelligence cooperation to support the global response to COVID-19
M Luengo-Oroz, K Hoffmann Pham, J Bullock, R Kirkpatrick, A Luccioni, ...
Nature Machine Intelligence 2 (6), 295-297, 2020
1402020
Fully convolutional neural network for rapid flood segmentation in synthetic aperture radar imagery
E Nemni, J Bullock, S Belabbes, L Bromley
Remote Sensing 12 (16), 2532, 2020
1232020
XNet: a convolutional neural network (CNN) implementation for medical x-ray image segmentation suitable for small datasets
J Bullock, C Cuesta-Lázaro, A Quera-Bofarull
SPIE Medical Imaging 2019: Biomedical Applications in Molecular, Structural …, 2019
1232019
Using neural networks for efficient evaluation of high multiplicity scattering amplitudes
S Badger, J Bullock
Journal of High Energy Physics 6, 114, 2020
522020
June: open-source individual-based epidemiology simulation
J Aylett-Bullock, C Cuesta-Lazaro, A Quera-Bofarull, M Icaza-Lizaola, ...
Royal Society open science 8 (7), 210506, 2021
38*2021
Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts
J Bullock, M Luengo-Oroz
International Conference on Machine Learning AI for Social Good Workshop …, 2019
302019
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
J Aylett-Bullock, S Badger, R Moodie
Journal of High Energy Physics 2021 (8), 1-30, 2021
292021
PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts
T Logar, J Bullock, E Nemni, L Bromley, JA Quinn, M Luengo-Oroz
34th AAAI Conference on Artificial Intelligence, New York, United States, 2020, 2020
282020
From artificial intelligence bias to inequality in the time of COVID-19
M Luengo-Oroz, J Bullock, KH Pham, CSN Lam, A Luccioni
IEEE Technology and Society Magazine 40 (1), 71-79, 2021
252021
Bayesian emulation and history matching of JUNE
I Vernon, J Owen, J Aylett-Bullock, C Cuesta-Lazaro, J Frawley, ...
Philosophical Transactions of the Royal Society A 380 (2233), 20220039, 2022
222022
Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox’s Bazar settlement
J Aylett-Bullock, C Cuesta-Lazaro, A Quera-Bofarull, A Katta, ...
PLOS Computational Biology 17 (10), e1009360, 2021
20*2021
Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation
A Quera-Bofarull, A Chopra, J Aylett-Bullock, C Cuesta-Lazaro, ...
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
82023
Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward
J Aylett-Bullock, RT Gilman, I Hall, D Kennedy, ES Evers, A Katta, ...
BMJ Global Health 7 (3), e007822, 2022
72022
Vaccinations or non-pharmaceutical interventions: safe reopening of schools in England
C Cuesta-Lazaro, A Quera-Bofarull, J Aylett-Bullock, BN Lawrence, ...
MedRxiv, 2021.09. 07.21263223, 2021
52021
A mixed-method approach to determining contact matrices in the Cox’s Bazar refugee settlement
J Walker, J Aylett-Bullock, D Shi, AG Kahindo Maina, E Samir Evers, ...
Royal Society Open Science 10 (12), 231066, 2023
32023
Considerations, good practices, risks and pitfalls in developing AI solutions against COVID-19
A Luccioni, J Bullock, KH Pham, CSN Lam, M Luengo-Oroz
Harvard CRCS Workshop on AI for Social Good, United States, 2020
32020
Ensuring the Inclusive Use of NLP in the Global Response to COVID-19
AS Luccioni, KH Pham, CSN Lam, J Aylett-Bullock, M Luengo-Oroz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
2*2021
Bayesian emulation and history matching ofJUNE
I Vernon, J Owen, J Aylett-Bullock, C Cuesta-Lazaro, J Frawley, ...
12022
Colliding Worlds: Modern Computational Methods for Scattering Amplitude Calculations and Responding to Crisis Situations
J Aylett-Bullock
Durham University, 2021
12021
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