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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
2682007
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
1852004
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
1592008
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
1562016
Industrial perspective on static analysis
BA Wichmann, AA Canning, DL Clutterbuck, LA Winsborrow, NJ Ward, ...
Software Engineering Journal 10 (2), 69, 1995
1281995
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
1002005
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
782015
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
672007
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
662014
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
562013
Using Bayesian networks to model accident causation in the UK railway industry
W Marsh, G Bearfield
Probabilistic safety assessment and management, 3597-3602, 2004
502004
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
452014
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
451997
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
432015
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
402018
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
362015
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
322016
Generalizing event trees using Bayesian networks
DWR Marsh, G Bearfield
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2008
292008
Abstraction in action: K-5 teachers' uses of levels of abstraction, particularly the design level, in teaching programming.
JL Waite, P Curzon, W Marsh, S Sentance, A Hadwen-Bennett
International Journal of Computer Science Education in Schools 2 (1), 14-40, 2018
242018
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
242016
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학술자료 1–20