XNet: a convolutional neural network (CNN) implementation for medical x-ray image segmentation suitable for small datasets. - Joseph Bullock; Carolina Cuesta-Lázaro; Arnau Quera-Bofarull (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts. - Joseph Bullock; Miguel A. Luengo-Oroz (CoRR, 2019)

PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts. - Tomaz Logar; Joseph Bullock; Edoardo Nemni; Lars Bromley; John A. Quinn; Miguel A. Luengo-Oroz (AAAI, 2020)

Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19. - Alexandra Sasha Luccioni; Joseph Bullock; Katherine Hoffmann Pham; Cynthia Sin Nga Lam; Miguel A. Luengo-Oroz (CoRR, 2020)

Mapping the landscape of Artificial Intelligence applications against COVID-19. - Joseph Bullock; Alexandra Sasha Luccioni; Katherine Hoffmann Pham; Cynthia Sin Nga Lam; Miguel A. Luengo-Oroz (J. Artif. Intell. Res., 2020)

Artificial intelligence cooperation to support the global response to COVID-19. - Miguel A. Luengo-Oroz; Katherine Hoffmann Pham; Joseph Bullock; Robert Kirkpatrick; Alexandra Luccioni; Sasha Rubel; Cedric Wachholz; Moez Chakchouk; Phillippa Biggs; Tim Nguyen; Tina Purnat; Bernardo Mariano (Nat. Mach. Intell., 2020)

Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery. - Edoardo Nemni; Joseph Bullock; Samir Belabbes; Lars Bromley (Remote. Sens., 2020)

Ensuring the Inclusive Use of NLP in the Global Response to COVID-19. - Alexandra Sasha Luccioni; Katherine Hoffmann Pham; Cynthia Sin Nga Lam; Joseph Aylett-Bullock; Miguel A. Luengo-Oroz (PKDD/ECML Workshops (2), 2021)

Optimising simulations for diphoton production at hadron colliders using amplitude neural networks. - Joseph Aylett-Bullock; Simon Badger; Ryan Moodie (CoRR, 2021)

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; Joseph Aylett-Bullock; Miguel A. Luengo-Oroz (CoRR, 2021)

Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement. - Joseph Aylett-Bullock; Carolina Cuesta-Lázaro; Arnau Quera-Bofarull; Anjali Katta; Katherine Hoffmann Pham; Benjamin Hoover; Hendrik Strobelt; Rebeca Moreno Jimenez; Aidan Sedgewick; Egmond Samir Evers; David Kennedy; Sandra Harlass; et al. (PLoS Comput. Biol., 2021)

From Artificial Intelligence Bias to Inequality in the Time of COVID-19. - Miguel A. Luengo-Oroz; Joseph Bullock; Katherine Hoffmann Pham; Cynthia Sin Nga Lam; Alexandra Sasha Luccioni (IEEE Technol. Soc. Mag., 2021)

Multi-AI Complex Systems in Humanitarian Response. - Joseph Aylett-Bullock; Miguel A. Luengo-Oroz (CoRR, 2022)

A Mixed-Method Approach to Determining Contact Matrices in the Cox's Bazar Refugee Settlement. - Joseph Walker; Joseph Aylett-Bullock; Difu Shi; Allen Gidraf Kahindo Maina; Egmond Samir Evers; Sandra Harlass; Frank Krauss (CoRR, 2022)

Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation. - Arnau Quera-Bofarull; Ayush Chopra; Joseph Aylett-Bullock; Carolina Cuesta-Lázaro; Anisoara Calinescu; Ramesh Raskar; Michael J. Wooldridge (AAMAS, 2023)

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 Jimenez; Joseph Aylett-Bullock; Azra Ismail; Sofia Kyriazi; Catherine Schneider; Fred Sekidde; Giulia del Panta; Chao Huang; Vanessa Maigné; Miguel A. Luengo-Oroz; et al. (CoRR, 2023)