William Marsh
Citata da
Citata da
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
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 (5), 499-537, 2008
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
Industrial perspective on static analysis
BA Wichmann, AA Canning, DL Clutterbuck, LA Winsborrow, NJ Ward, ...
Software Engineering Journal 10 (2), 69-75, 1995
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
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
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
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
Using Bayesian networks to model accident causation in the UK railway industry
W Marsh, G Bearfield
Probabilistic safety assessment and management, 3597-3602, 2004
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 Engineering 144 (2), 119-133, 1997
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
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
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
Generalizing event trees using Bayesian networks
DWR Marsh, G Bearfield
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2008
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
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences
AC Constantinou, B Yet, N Fenton, M Neil, W Marsh
Artificial Intelligence in Medicine 66, 41-52, 2016
Representing parameterised fault trees using Bayesian networks
W Marsh, G Bearfield
SAFECOMP'07 26th international conference on Computer Safety, Reliability …, 2007
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