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William Marsh
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Predicting software defects in varying development lifecycles using Bayesian nets
N Fenton, M Neil, W Marsh, P Hearty, D Marquez, P Krause, R Mishra
Information and Software Technology 49 (1), 32-43, 2007
2922007
Making resource decisions for software projects
N Fenton, W Marsh, M Neil, P Cates, S Forey, M Tailor
Proceedings. 26th International Conference on Software Engineering, 397-406, 2004
2032004
On the effectiveness of early life cycle defect prediction with Bayesian Nets
N Fenton, M Neil, W Marsh, P Hearty, Ł Radliński, P Krause
Empirical Software Engineering 13, 499-537, 2008
1812008
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support
AC Constantinou, N Fenton, W Marsh, L Radlinski
Artificial intelligence in medicine 67, 75-93, 2016
1802016
Industrial perspective on static analysis
BA Wichmann, AA Canning, DL Clutterbuck, LA Winsborrow, NJ Ward, ...
Software Engineering Journal 10 (2), 69, 1995
1531995
Generalising event trees using Bayesian networks with a case study of train derailment
G Bearfield, W Marsh
International Conference on Computer Safety, Reliability, and Security, 52-66, 2005
1212005
Meta-analysis of prognostic factors for amputation following surgical repair of lower extremity vascular trauma
ZB Perkins, B Yet, S Glasgow, E Cole, W Marsh, K Brohi, TE Rasmussen, ...
Journal of British Surgery 102 (5), 436-450, 2015
1162015
Not just data: A method for improving prediction with knowledge
B Yet, Z Perkins, N Fenton, N Tai, W Marsh
Journal of biomedical informatics 48, 28-37, 2014
772014
Project data incorporating qualitative factors for improved software defect prediction
N Fenton, M Neil, W Marsh, P Hearty, L Radlinski, P Krause
Predictor Models in Software Engineering, 2007. PROMISE'07: ICSE Workshops …, 2007
742007
The Heimdall framework for supporting characterisation of learning health systems.
S McLachlan, HWW Potts, K Dube, D Buchanan, S Lean, T Gallagher, ...
J Innov Health Inform, 2018
652018
Decision support system for Warfarin therapy management using Bayesian networks
B Yet, K Bastani, H Raharjo, S Lifvergren, W Marsh, B Bergman
Decision Support Systems 55 (2), 488-498, 2013
632013
Combining data and meta-analysis to build Bayesian networks for clinical decision support
B Yet, ZB Perkins, TE Rasmussen, NRM Tai, DWR Marsh
Journal of biomedical informatics 52, 373-385, 2014
562014
Risk assessment and risk management of violent reoffending among prisoners
AC Constantinou, M Freestone, W Marsh, N Fenton, J Coid
Expert Systems with Applications 42 (21), 7511-7529, 2015
532015
Using Bayesian networks to model accident causation in the UK railway industry
W Marsh, G Bearfield
Probabilistic Safety Assessment and Management: PSAM 7—ESREL’04 June 14–18 …, 2004
522004
Formal methods into practice: case studies in the application of the B method
JC Bicarregui, DL Clutterbuck, G Finnie, H Haughton, K Lano, H Lesan, ...
IEE Proceedings-Software 144 (2), 119-133, 1997
471997
Medical idioms for clinical Bayesian network development
E Kyrimi, MR Neves, S McLachlan, M Neil, W Marsh, N Fenton
Journal of biomedical informatics 108, 103495, 2020
452020
Causal inference for violence risk management and decision support in forensic psychiatry
AC Constantinou, M Freestone, W Marsh, J Coid
Decision Support Systems 80, 42-55, 2015
452015
How to model mutually exclusive events based on independent causal pathways in Bayesian network models
N Fenton, M Neil, D Lagnado, W Marsh, B Yet, A Constantinou
Knowledge-Based Systems 113, 39-50, 2016
392016
Predicting the outcome of limb revascularization in patients with lower-extremity arterial trauma: development and external validation of a supervised machine-learning …
ZB Perkins, B Yet, A Sharrock, R Rickard, W Marsh, TE Rasmussen, ...
Annals of surgery 272 (4), 564-572, 2020
382020
Bayesian networks in healthcare: What is preventing their adoption?
E Kyrimi, K Dube, N Fenton, A Fahmi, MR Neves, W Marsh, S McLachlan
Artificial Intelligence in Medicine 116, 102079, 2021
362021
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Articles 1–20