Development of Information Systems Project Portfolio Management Capabilities: A Case Study on an Australian Bank. - Jenny Yang; Christine Van Toorn; Alan Thorogood; Anthony Vlasic (ECIS, 2015)

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)

Machine Learning-Based Risk Stratification for Gestational Diabetes Management. - Jenny Yang; David A. Clifton; Jane E. Hirst; Foteini K. Kavvoura; George Farah; Lucy Mackillop; Huiqi Y. Lu (Sensors, 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)

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)