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James Liley
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2020 – today
- 2024
- [i5]Louis Chislett, Louis J. M. Aslett, Alisha R. Davies, Catalina A. Vallejos, James Liley:
Ethical considerations of use of hold-out sets in clinical prediction model management. CoRR abs/2406.03161 (2024) - 2022
- [j2]Anna Hutchinson, James Liley, Chris Wallace:
fcfdr: an R package to leverage continuous and binary functional genomic data in GWAS. BMC Bioinform. 23(1): 310 (2022) - [i4]Sami Haidar-Wehbe, Samuel R. Emerson, Louis J. M. Aslett, James Liley:
Optimal sizing of a holdout set for safe predictive model updating. CoRR abs/2202.06374 (2022) - [i3]Emily R. 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:
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs). CoRR abs/2211.01656 (2022) - [i2]Jim Smith, Richard John Preen, Andrew McCarthy, Alba Crespi-Boixader, James Liley, Simon Rogers:
Safe machine learning model release from Trusted Research Environments: The AI-SDC package. CoRR abs/2212.01233 (2022) - 2021
- [c1]James Liley, Samuel R. Emerson, Bilal A. Mateen, Catalina A. Vallejos, Louis J. M. Aslett, Sebastian J. Vollmer:
Model updating after interventions paradoxically introduces bias. AISTATS 2021: 3916-3924 - 2020
- [j1]Bilal A. Mateen, James Liley, Alastair K. Denniston, Chris C. Holmes, Sebastian J. Vollmer:
Improving the quality of machine learning in health applications and clinical research. Nat. Mach. Intell. 2(10): 554-556 (2020) - [i1]James Liley, Samuel R. Emerson, Bilal A. Mateen, Catalina A. Vallejos, Louis J. M. Aslett, Sebastian J. Vollmer:
Model updating after interventions paradoxically introduces bias. CoRR abs/2010.11530 (2020)
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