James Liley

According to our database, James Liley authored at least 6 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Safe machine learning model release from Trusted Research Environments: The AI-SDC package.

Jim Smith, Richard John Preen, Andrew McCarthy, Alba Crespi-Boixader, James Liley, Simon Rogers

CoRR, 2022

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs).

Emily Jefferson, James Liley, Maeve Malone, Smarti Reel, Alba Crespi-Boixader, Xaroula Kerasidou, Francesco Tava, Andrew McCarthy, Richard Preen, Alberto Blanco-Justicia, Esma Mansouri-Benssassi, Josep Domingo-Ferrer, Jillian Beggs, Antony Chuter, Christian Cole, Felix Ritchie, Angela Daly, Simon Rogers, Jim Smith

CoRR, 2022

Optimal sizing of a holdout set for safe predictive model updating.

Sami Haidar-Wehbe, Samuel R. Emerson, Louis J. M. Aslett, James Liley

CoRR, 2022

fcfdr: an R package to leverage continuous and binary functional genomic data in GWAS.

Anna Hutchinson, James Liley, Chris Wallace

BMC Bioinform., 2022

2021

Model updating after interventions paradoxically introduces bias.

James Liley, Samuel R. Emerson, Bilal A. Mateen, Catalina A. Vallejos, Louis J. M. Aslett, Sebastian J. Vollmer

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Improving the quality of machine learning in health applications and clinical research.

Bilal A. Mateen, James Liley, Alastair K. Denniston, Chris C. Holmes, Sebastian J. Vollmer

Nat. Mach. Intell., 2020