| 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 | 296 | 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 | 204 | 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 | 188 | 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 | 187 | 2008 |
| Industrial perspective on static analysis BA Wichmann, AA Canning, DL Clutterbuck, LA Winsborrow, NJ Ward, ... Software Engineering Journal 10 (2), 69, 1995 | 157 | 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 | 125 | 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 | 122 | 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 | 81 | 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 | 75 | 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 | 68 | 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 | 65 | 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 | 57 | 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 | 55 | 2015 |
| 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 | 52 | 2020 |
| 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 | 51 | 2004 |
| 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 | 49 | 2021 |
| 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 | 48 | 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 | 47 | 2015 |
| 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 | 42 | 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 | 39 | 2016 |
Norman FentonQueen Mary University of London and Agena LtdVerified email at qmul.ac.uk
