| 2026 | PADS | A Discrete Event Simulation Framework for Short-Term Forecasting of Emergency Department Arrivals and Discharges. | Nirmani Amarasinghe, Laura M. Boyle, Adele H. Marshall |
| 2025 | NLDB | Duplicate Bug Report Retrieval for New Bug Reports. | Miao Hu, Zhiwei Lin, Adele H. Marshall |
| 2024 | NLDB | Issue Links Retrieval for New Issues in Issue Tracking Systems. | Miao Hu, Zhiwei Lin, Adele H. Marshall |
| 2023 | NLDB | Expanding Domain-Specific Knowledge Graphs with Unknown Facts. | Miao Hu, Zhiwei Lin, Adele H. Marshall |
| 2023 | NLDB | Knowledge Graph Representation Learning via Generated Descriptions. | Miao Hu, Zhiwei Lin, Adele H. Marshall |
| 2021 | DIS | Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models. | Aleksandar Novakovic, Adele H. Marshall, Carolyn McGregor |
| 2019 | CBMS | Analysing the Performance of a Real-Time Healthcare 4.0 System using Shared Frailty Time to Event Models. | Adele H. Marshall, Aleksandar Novakovic |
| 2016 | CBMS | Proposing the Deep Dynamic Bayesian Network as a Future Computer Based Medical System. | Caoimhe M. Carbery, Adele H. Marshall, Roger F. Woods |
| 2016 | CBMS | A Discrete Conditional Phase-Type Model Utilising a Survival Tree for the Identification of Elderly Patient Cohorts and Their Subsequent Prediction of Length of Stay in Hospital. | Andrew S. Gordon, Adele H. Marshall, Mariangela Zenga |
| 2016 | CBMS | Modelling the Time Taken to Experience a Type 2 Diabetes Related Complication Using a Survival Tree in Order to Advise General Practitioners. | Christopher John Steele, Adele H. Marshall, Anne Kouvonen, Frank Kee, Reijo Sund |
| 2015 | CBMS | Discrete Conditional Phase-Type Model Utilising a Multiclass Support Vector Machine for the Prediction of Retinopathy of Prematurity. | Rebecca Rollins, Adele H. Marshall, Eibhlin McLoone, Sarah Chamney |
| 2012 | CBMS | Modelling the development of late onset sepsis and length of stay using discrete conditional survival models with a classification tree component. | Adele H. Marshall, Kieran Payne, Karen J. Cairns, Stan Craig, Emma McCall |
| 2010 | CBMS | Continuous Dynamic Bayesian networks for predicting survival of ischaemic heart disease patients. | Adele H. Marshall, Laura A. Hill, Frank Kee |
| 2009 | CBMS | Discrete Conditional Phase-type model (DC_Ph) for patient waiting time with a logistic regression component to predict patient admission to hospital. | Adele H. Marshall, Lisa McCrink |
| 2008 | CBMS | Modeling the Survival of Hip Fracture Patients Using a Conditional Phase-Type Distribution. | Adele H. Marshall, Barry Shaw |
| 2008 | CBMS | The Effects of Anti-Hypertensive Drugs Evaluated Using Markov Modelling for Northern Ireland Chronic Kidney Disease Patients. | Andrea Rainey, Karen J. Cairns, Adele H. Marshall, Michael Quinn, Gerard Savage, Damian Fogarty |
| 2007 | CBMS | A Bayesian Network Hybrid Model for Representing Accident and Emergency Waiting Times. | Adele H. Marshall, Louise Burns |
| 2006 | CBMS | A Monte Carlo Simulation Model to Assess Volunteer Response Times in a Public Access Defibrillation Scheme in Northern Ireland. | Adele H. Marshall, Karen J. Cairns, Frank Kee, Michael J. Moore, Andrew J. Hamilton, A. A. Jennifer Adgey |
| 2006 | CBMS | Intelligent Patient Management using Dynamic Models of Clinical Variables. | Adele H. Marshall, Ronan Donaghy |
| 2005 | CBMS | A Public Access Defibrillation Trial in Urban and Rural Communities in Northern Ireland: Developing the Roster Model. | Karen J. Cairns, Adele H. Marshall, Frank Kee |
| 2005 | CBMS | A Bayesian Approach to Modelling Inpatient Expenditure. | Barry Shaw, Adele H. Marshall |
| 2000 | SMC | Exploring dynamic Bayesian belief networks for intelligent fault management systems. | Roy Sterritt, Adele H. Marshall, C. Mary Shapcott, Sally I. McClean |