The difficult legacy of Turing's wager. - Andrew Thwaites; Andrew A. S. Soltan; Eric Wieser; Ian Nimmo-Smith (J. Comput. Neurosci., 2017)

Deep Reinforcement Learning for Multi-class Imbalanced Training. - Jenny Yang; Rasheed El-Bouri; Odhran O'Donoghue; Alexander S. Lachapelle; Andrew A. S. Soltan; David A. Clifton (CoRR, 2022)

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening. - Jenny Yang; Andrew A. S. Soltan; David A. Clifton (npj Digit. Medicine, 2022)

An adversarial training framework for mitigating algorithmic biases in clinical machine learning. - Jenny Yang; Andrew A. S. Soltan; David W. Eyre; Yang Yang 125; David A. Clifton (npj Digit. Medicine, 2023)

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. - Omid Rohanian; Samaneh Kouchaki; Andrew A. S. Soltan; Jenny Yang; Morteza Rohanian; Yang Yang 125; David A. Clifton (IEEE J. Biomed. Health Informatics, 2023)

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning. - Jenny Yang; Andrew A. S. Soltan; David W. Eyre; David A. Clifton (Nat. Mac. Intell., 2023)

Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. - Soheila Molaei; Anshul Thakur; Ghazaleh Niknam; Andrew A. S. Soltan; Hadi Zare 001; David A. Clifton (AISTATS, 2024)

Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. - Anshul Thakur; Soheila Molaei; Pafue Christy Nganjimi; Fenglin Liu; Andrew A. S. Soltan; Patrick Schwab; Kim Branson 001; David A. Clifton (npj Digit. Medicine, 2024)

Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare. - Anshul Thakur; Soheila Molaei; Pafue Christy Nganjimi; Andrew A. S. Soltan; Patrick Schwab; Kim Branson 001; David A. Clifton (npj Digit. Medicine, 2024)

Deep reinforcement learning for multi-class imbalanced training: applications in healthcare. - Jenny Yang; Rasheed El-Bouri; Odhran O'Donoghue; Alexander S. Lachapelle; Andrew A. S. Soltan; David W. Eyre; Lei Lu; David A. Clifton (Mach. Learn., 2024)

Addressing label noise for electronic health records: insights from computer vision for tabular data. - Jenny Yang; Hagen Triendl; Andrew A. S. Soltan; Mangal Prakash; David A. Clifton (BMC Medical Informatics Decis. Mak., 2024)

High-performance automated abstract screening with large language model ensembles. - Rohan Sanghera; Arun James Thirunavukarasu; Marc El Khoury; Jessica O'Logbon; Yuqing Chen; Archie Watt; Mustafa Mahmood; Hamid Butt; George Nishimura; Andrew A. S. Soltan (J. Am. Medical Informatics Assoc., 2025)