Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions. - Adele H. Marshall; Sally I. McClean; Mary Shapcott; Peter H. Millard (PKDD, 2000)

Exploring dynamic Bayesian belief networks for intelligent fault management systems. - Roy Sterritt; Adele H. Marshall; C. Mary Shapcott; Sally I. McClean (SMC, 2000)

Handling Uncertainty in a Medical Study of Dietary Intake During Pregnancy. - Adele H. Marshall; David A. Bell; Roy Sterritt (Soft-Ware, 2002)

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 (CBMS, 2005)

A Bayesian Approach to Modelling Inpatient Expenditure. - Barry Shaw; Adele H. Marshall (CBMS, 2005)

Clustering Gene Expression Data using Continuous Markov Models. - Adele H. Marshall; Roy Sterritt (CSB Workshops, 2005)

Modelling nationwide hospital length of stay: opening the black box. - Christos Vasilakis; Adele H. Marshall (J. Oper. Res. Soc., 2005)

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 (CBMS, 2006)

Intelligent Patient Management using Dynamic Models of Clinical Variables. - Adele H. Marshall; Ronan Donaghy (CBMS, 2006)

Modeling the Health Care Costs of Geriatric Inpatients. - Barry Shaw; Adele H. Marshall (IEEE Trans. Inf. Technol. Biomed., 2006)

A Bayesian Network Hybrid Model for Representing Accident and Emergency Waiting Times. - Adele H. Marshall; Louise Burns (CBMS, 2007)

Modelling the flow of congestive heart failure patients through a hospital system. - Barry Shaw; Adele H. Marshall (J. Oper. Res. Soc., 2007)

Modeling the Survival of Hip Fracture Patients Using a Conditional Phase-Type Distribution. - Adele H. Marshall; Barry Shaw (CBMS, 2008)

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 (CBMS, 2008)

Biomedical Ontologies and Grid Computing - As New Resources for Cancer Registries. - Giulio Napolitano; Alejandra N. González-Beltrán; Colin Fox; Adele H. Marshall; Anthony Finkelstein; Peter McCarron (HEALTHINF, 2009)

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 (CBMS, 2009)

Simulating Coxian phase-type distributions for patient survival. - Adele H. Marshall; Mariangela Zenga (Int. Trans. Oper. Res., 2009)

Continuous Dynamic Bayesian networks for predicting survival of ischaemic heart disease patients. - Adele H. Marshall; Laura A. Hill; Frank Kee (CBMS, 2010)

Clustering gene expression data using Coxian phase-type survival. - Adele H. Marshall; Laura A. Hill (IEEE Conf. of Intelligent Systems, 2010)

Using simulation to assess cardiac first-responder schemes exhibiting stochastic and spatial complexities. - Karen J. Cairns; Adele H. Marshall; Frank Kee (J. Oper. Res. Soc., 2011)

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 (CBMS, 2012)

Modelling traffic dynamics in motorway networks. - Aidan Fitzgerald; Salissou Moutari; Adele H. Marshall (ITSC, 2012)

Discrete Conditional Phase-type models utilising classification trees: Application to modelling health service capacities. - Paul R. Harper; Vincent A. Knight; Adele H. Marshall (Eur. J. Oper. Res., 2012)

Computational learning of the conditional phase-type (C-Ph) distribution. - Adele H. Marshall; Barry Shaw (Comput. Manag. Sci., 2014)

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 (CBMS, 2015)

Proposing the Deep Dynamic Bayesian Network as a Future Computer Based Medical System. - Caoimhe M. Carbery; Adele H. Marshall; Roger F. Woods (CBMS, 2016)

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 (CBMS, 2016)

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 (CBMS, 2016)

Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction. - Giulio Napolitano; Adele H. Marshall; Peter Hamilton; Anna T. Gavin (Artif. Intell. Medicine, 2016)

A Bayesian network based learning system for modelling faults in large-scale manufacturing. - Caoimhe M. Carbery; Roger F. Woods; Adele H. Marshall (ICIT, 2018)

Expediting assessments of database performance for streams of respiratory parameters. - Charles J. Gillan; Aleksandar Novakovic; Adele H. Marshall; Murali Shyamsundar; Dimitrios S. Nikolopoulos (Comput. Biol. Medicine, 2018)

Analysing the Performance of a Real-Time Healthcare 4.0 System using Shared Frailty Time to Event Models. - Adele H. Marshall; Aleksandar Novakovic (CBMS, 2019)

Introducing the DM-P approach for analysing the performances of real-time clinical decision support systems. - Aleksandar Novakovic; Adele H. Marshall (Knowl. Based Syst., 2020)

Identification of Bridge Key Performance Indicators Using Survival Analysis for Future Network-Wide Structural Health Monitoring. - Nicola-Ann Stevens; Myra Lydon; Adele H. Marshall; Su Taylor (Sensors, 2020)

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 (DS, 2021)

Optimizing the Belfast Bike Sharing Scheme. - Nadezda Demidova; Aleksandar Novakovic; Adele H. Marshall (IntelliSys (2), 2021)

A joint likelihood approach to the analysis of length of stay data utilising the continuous-time hidden Markov model and Coxian phase-type distribution. - Hannah J. Mitchell; Adele H. Marshall; Mariangela Zenga (J. Oper. Res. Soc., 2021)

Knowledge Discovery of Bovine Tuberculosis in the Eurasian Badger using Machine Learning Techniques. - Kyle McBride; Aleksandar Novakovic; Adele H. Marshall; Emily Courcier (CSCI, 2022)

Process Mining the Performance of a Real-Time Healthcare 4.0 Systems Using Conditional Survival Models. - Adele H. Marshall; Aleksandar Novakovic (Algorithms, 2022)

A framework for developing generalisable discrete event simulation models of hospital emergency departments. - Laura M. Boyle; Adele H. Marshall; Mark Mackay (Eur. J. Oper. Res., 2022)

The CP-ABM approach for modelling COVID-19 infection dynamics and quantifying the effects of non-pharmaceutical interventions. - Aleksandar Novakovic; Adele H. Marshall (Pattern Recognit., 2022)

Using machine learning to improve bovine tuberculosis control in herd level outbreaks. - Aleksandar Novakovic; Adele H. Marshall; Carolyn McGregor; Nadja Bressan; Kate McAllister; Emily Courcier (EMBC, 2023)

Expanding Domain-Specific Knowledge Graphs with Unknown Facts. - Miao Hu 003; Zhiwei Lin; Adele H. Marshall (NLDB, 2023)

Knowledge Graph Representation Learning via Generated Descriptions. - Miao Hu 003; Zhiwei Lin; Adele H. Marshall (NLDB, 2023)

Issue Links Retrieval for New Issues in Issue Tracking Systems. - Miao Hu 003; Zhiwei Lin; Adele H. Marshall (NLDB (2), 2024)

Duplicate Bug Report Retrieval for New Bug Reports. - Miao Hu 003; Zhiwei Lin; Adele H. Marshall (NLDB (1), 2025)