William Marsh
Cited by
Cited by
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
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
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
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
Industrial perspective on static analysis
BA Wichmann, AA Canning, DL Clutterbuck, LA Winsborrow, NJ Ward, ...
Software Engineering Journal 10 (2), 69, 1995
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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