Prof Martin Neil
Professor of Computer Science and Statistics
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
AI, Machine Learning, Risk, Bayesian Networks, Reliability
Interests
I am interested in intelligent risk assessment and decision analysis using knowledge and data. Typically this involves analysing and predicting the probabilities of unknown events using Bayesian statistical methods including causal, probabilistic models (Bayesian networks). In addition to working on theoretical and algorithmic foundations, this work covers a wide range of application domains such as medical analytics, legal reasoning, embedded software, operational risk in finance, systems and design reliability (including software), project risk,commercial risk, decision support, cost benefit analysis, AI and personalization, machine learning, legal argumentation, cyber security and football prediction.Publications
Publications of specific relevance to the Centre for Multimodal AI2024
Hunte JL, Neil M, Fenton NE, Osman M and Bechlivanidis C (2024). The effect of risk communication on consumers’ risk perception, risk tolerance and utility of smart and non-smart home appliances. Safety Science, Elsevier vol. 174 01-06-2024
Fenton N (2024). Fighting Goliath Exposing the Flawed Science and Statistics Behind the COVID-19 Event. 01-01-2024
Hunte JL, Neil M and Fenton NE (2024). A hybrid Bayesian network for medical device risk assessment and management. Reliability Engineering & System Safety, Elsevier vol. 241 01-01-2024
McLachlan S, Daley B, Saidi S, Kyrimi E, Dube K, Grossan C, Neil M, Rose L and Fenton N (2024). Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies. 01-01-2024
2022
Lin P, Neil M, Fenton N and Dementiev E (2022). Region‐based estimation of the partition functions for hybrid Bayesian network models. International Journal of Intelligent Systems, Wiley vol. 37 (11), 8897-8927. 03-08-2022
Mclachlan S, Neil M, Dube K, Bogani R, Fenton N and Schaffer B (2022). Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety. International Journal of Law and Information Technology vol. 29 (4), 255-295. 22-02-2022
Hunte JL, Neil M and Fenton NE (2022). A causal Bayesian network approach for consumer product safety and risk assessment. J Safety Res vol. 80, 198-214. 01-02-2022
2021
Hunte JL, Neil M and Fenton NE (2021). A causal Bayesian network approach for consumer product safety and risk assessment. Journal of Safety Research, Elsevier vol. 80, 198-214. 18-12-2021
Neil M and Fenton N (2021). Bayesian Hypothesis Testing and Hierarchical Modeling of Ivermectin Effectiveness. American Journal of Therapeutics, Wolters Kluwer Health, Inc. vol. 28 (5), e576-e579. 01-09-2021
Neil M (2021). Positive results from UK single gene testing for SARS-COV-2 may be
inconclusive, negative or detecting past infections. 23-02-2021
Lin P, Neil M and Fenton N (2021). A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models. IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) vol. 9, 125428-125438. 01-01-2021
2020
Mclachlan S, Paterson H, Dube K, Kyrimi E, Dementiev E, Neil M, Daley BJ, Hitman GA and Fenton NE (2020). Real-time Online Probabilistic Medical Computation using Bayesian Networks. 2020 IEEE International Conference on Healthcare Informatics (ICHI). 03-12-2020
Osman M, meder B, Fenton N, Neil M, Mclachlan S and Löfsted R (2020). Learning from behavioural changes that fail., Editors: Drayton L. Trends in Cognitive Sciences, Elsevier 28-10-2020
Lin P, Neil M and Fenton N (2020). Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction. Journal of Artificial Intelligence Research, AI Access Foundation vol. 69, 231-295. 27-09-2020
Kyrimi E, Raniere Neves M, Mclachlan S, Neil M, Marsh W and Fenton N (2020). Medical idioms for clinical Bayesian network development. Journal of Biomedical Informatics, Elsevier 30-06-2020
Neil M, Fenton N, Osman M and McLachlan S (2020). Bayesian Network Analysis of Covid-19 data reveals higher Infection Prevalence Rates and lower Fatality Rates than widely reported. Journal of Risk Research, Taylor & Francis (Routledge) 26-05-2020
Neil M, Fenton N, Osman M and McLachlan S (2020). Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported. Journal of Risk Research 24-05-2020
Fenton N, Osman M, Mclachlan S and Neil M (2020). COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing. Journal of Risk Research, Taylor & Francis (Routledge) 24-04-2020
Fenton N, Neil M and Constantinou A (2020). The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018). Artificial Intelligence, Elsevier BV vol. 284, 103286-103286. 21-04-2020
2019
Wang J, Neil M and Fenton N (2019). A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. Computers and Security, Elsevier vol. 89 03-11-2019
Fenton N, Lagnado D, Dahlman C and Neil M (2019). The Opportunity Prior: A proof-based prior for criminal cases. Law, Probability and Risk, Oxford University Press (OUP) 20-05-2019
Neil M, Fenton N, Osman M and Lagnado D (2019). Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment. Journal of Risk Research 10-05-2019
Neil M, Fenton N, Lagnado D and Gill RD (2019). Modelling competing legal arguments using Bayesian model comparison and averaging. Artificial Intelligence and Law, Springer Nature vol. 27 (4), 403-430. 27-03-2019
Fenton N, Neil M, Yet B and Lagnado D (2019). Analyzing the Simonshaven Case Using Bayesian Networks. Topics in Cognitive Science, Wiley vol. 12 (4), 1092-1114. 12-03-2019
FENTON NE, NEIL M and NOGUCHI T (2019). An extension to the noisy-OR function to resolve the ‘explaining away’ deficiency for practical Bayesian network problem. IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers 10-01-2019
2018
FENTON NE, NOGUCHI T and NEIL M (2018). Addressing the Practical Limitations of Noisy-OR using Conditional Inter-causal Anti-Correlation with Ranked Nodes. IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers 04-10-2018
Fenton N and Neil M (2018). Risk Assessment and Decision Analysis with Bayesian Networks. 03-09-2018
OSMAN M, FENTON NE, Pilditch T, Lagnado D and NEIL M (2018). Who do we trust on social policy interventions. Basic and Applied Social Psychology 30-07-2018
Osman M, Fenton N, Pilditch T, Lagnado D and Neil M (2018). Whom Do We Trust on Social Policy Interventions? Basic and Applied Social Psychology 30-07-2018
Fenton N and Neil M (2018). Improving Software Testing with Causal Modeling. Analytic Methods in Systems and Software Testing 27-64. 06-07-2018
YET B, NEIL M, FENTON N, CONSTANTINOU AC and DEMENTIEV E (2018). An Improved Method for Solving Hybrid Influence Diagrams. International Journal of Approximate Reasoning, Elsevier 01-04-2018
FENTON NE and NEIL M (2018). Lawnmowers versus terrorists: A highly misleading view of risk. Significance, Royal Statistical Society vol. 15 (1), 12-15. 06-02-2018
Yet B, Constantinou A, Fenton N and Neil M (2018). Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) vol. 6, 7802-7817. 01-01-2018
2017
FENTON NE, Lagnado D, Dahlman C and Neil M (2017). The Opportunity Prior: A Simple and Practical Solution to the Prior Probability Problem for Legal Cases. International Conference on AI and the Law (ICAIL 17) Kings College, London 12 Jun 2017 - 15 Jun 2017. 12-06-2017
Neil M and Fenton N (2017). Risk Management Using Bayesian Networks. Wiley StatsRef: Statistics Reference Online 1-6. 15-05-2017
2016
Fenton N, Neil M, Lagnado D, William M, Yet B and CONSTANTINOU AC (2016). How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowledge-Based Systems 17-09-2016
Yet B, CONSTANTINOU AC, Fenton N, Neil M, Luedeling E and Shepherd K (2016). A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case Study. Expert Systems with Applications 04-05-2016
CONSTANTINOU AC, FENTON N and NEIL M (2016). Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Systems with Applications 18-03-2016
FENTON NE, neil M and Berger D (2016). Bayes and the Law. Annual Review of Statistics and Its Application vol. 3, 51-77. 09-03-2016
2015
Constantinou AC, Yet B, Fenton N, Neil M and Marsh W (2015). Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artificial Intelligence in Medicine, Elsevier vol. 66, 41-52. 08-09-2015
FENTON NE, Zhou Y, Hospedales T and Neil M (2015). Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. Uncertainty in Artificial Intelligence Amsterdam, Netherlands 12 Jul 2015 - 16 Jul 2015. 13-07-2015
Zhou Y, Fenton N, Hospedales TM and Neil M (2015). Probabilistic graphical models parameter learning with transferred prior and constraints. 01-01-2015
2014
Lin P, Neil M and Fenton NE (2014). Risk Aggregation in the presence of Discrete Causally Connected Random Variables. Annals of Actuarial Science vol. 8 (2), 298-319. 26-08-2014
Fenton N, Lagnado D, Hsu A, Berger D and Neil M (2014). Response to on the use of the likelihood ratio for forensic evaluation: response to Fenton et al.. Sci Justice vol. 54 (4), 319-320. 01-07-2014
Fenton N, Berger D, Lagnado D, Neil M and Hsu A (2014). When 'neutral' evidence still has probative value (with implications from the Barry George Case). Science and Justice vol. 54 (4), 274-287. 01-01-2014
Fenton NE and Neil M (2014). Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. IEEE Software, IEEE Explore vol. 31 (2), 21-26. 01-01-2014
Zhou Y, Fenton N and Neil M (2014). Bayesian network approach to multinomial parameter learning using data and expert judgments. International Journal of Approximate Reasoning, Elsevier/Science Direct vol. 55, 1252-1268. 01-01-2014
Zhou Y, Fenton N and Neil M (2014). An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. Lecture Notes in Computer Science, Springer Nature vol. 8754, 581-596. 01-01-2014
2013
Fenton NE, Neil M and Hsu A (2013). Calculating and understanding the value of any type of match evidence when there are potential testing errors. Artificial Intelligence and Law, Springer (part of Springer Nature) vol. 22 (1), 1-28. 11-10-2013
FENTON NE, Neil M and Lagnado D (2013). A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cognitive Science, Wiley Online Library vol. 37 (1), 61-102. 01-01-2013
Zhou Y, Fenton N, Neil M and Zhu C (2013). Incorporating Expert Judgement into Bayesian Network Machine Learning. 01-01-2013
Constantinou AC, Fenton NE and Neil M (2013). Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. KNOWLEDGE-BASED SYSTEMS vol. 50, 60-86. 01-01-2013
Langseth H, Marquez D and Neil M (2013). Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation. 01-01-2013
2012
Constantinou A, FENTON NE and Neil M (2012). pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowledge Based Systems, Elsevier vol. 36, 322-339. 01-12-2012
Neil M, Chen X and Fenton NE (2012). Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks using Binary Factorization. IEEE Transactions on Knowledge and Data Engineering, IEEE vol. 7 (24), 1306-1312. 01-07-2012
Neil M and Marquez D (2012). Availability modelling of repairable systems using Bayesian networks. Engineering Applications of Artificial Intelligence, Elsevier/Science Direct vol. 25 (4), 698-704. 01-06-2012
FENTON NE, Lagnado D and Neil M (2012). Legal idioms: a framework for evidential reasoning. Argument and Computation, Taylor & Francis Online vol. 4 (1), 46-63. 25-05-2012
2011
FENTON NE and Neil M (2011). Avoiding Legal Fallacies in Practice Using Bayesian Networks. Australian Journal of Legal Philosophy vol. 36, 114-150. 01-01-2011
FENTON NE and Neil M (2011). The use of Bayes' and causal modelling in decision making, uncertainty and risk. UPGRADE, the Journal of CEPIS (Council of European Professional Informatics Societies) vol. 12 (5), 10-21. 01-01-2011
2010
Fenton N and Neil M (2010). Comparing risks of alternative medical diagnosis using Bayesian arguments. J Biomed Inform vol. 43 (4), 485-495. 01-08-2010
Neil M, Marquez D and Fenton N (2010). Improved Reliability Modeling using Bayesian Networks and Dynamic Discretization. Journal of Reliability Engineering and System Safety vol. 95 (4), 412-425. 01-01-2010
Fenton NE, Hearty P, Neil M and Radliński Ł (2010). Software project and quality modelling using Bayesian networks. Artificial intelligence applications for improved software engineering development: new prospects , Editors: Meziane F and Vadera S. 1-25. 01-01-2010
Marquez D, Neil M and Fenton N (2010). Improved reliability modeling using Bayesian networks and dynamic discretization. RELIABILITY ENGINEERING & SYSTEM SAFETY vol. 95 (4), 412-425. 01-01-2010
2009
Neil M and Marquez D (2009). Dependability Modelling of Repairable Systems using Bayesian Networks. IFAC-PapersOnLine, Elsevier vol. 42 (5), 221-226. 01-06-2009
Neil M and Marquez D (2009). Dependability modelling of repairable systems using Bayesian Networks. 01-01-2009
Hearty P, Fenton N, Marquez D and Neil M (2009). Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. IEEE T SOFTWARE ENG vol. 35 (1), 124-137. 01-01-2009
N Fenton MN and Radliński Ł (2009). Software Project and Quality Modelling Using Bayesian Networks. Artificial Intelligence Applications for Improved Software Engineering Development: New Prospects. (Part of the Advances in Intelligent Information Technologies (AIIT) Book Series) 1-25. 01-01-2009
Neil M and Hager D (2009). Modeling Operational Risk in Financial Institutions using Hybrid Dynamic Bayesian Networks. Journal of Operational Risk vol. 4 (1), 3-33. 01-01-2009
2008
Marquez D, Neil M and Fenton N (2008). Solving dynamic fault trees using a new hybrid Bayesian network inference algorithm. 2008 Mediterranean Conference on Control and Automation - Conference Proceedings, MED'08, 609-614. 06-10-2008
Fenton N, Neil M, Marsh W, Hearty P, Radlinski L and Krause P (2008). On the effectiveness of early life cycle defect prediction with Bayesian Nets. EMPIRICAL SOFTWARE ENGINEERING vol. 13 (5), 499-537. 01-10-2008
Fenton NE and Neil M (2008). Avoiding legal fallacies in practice using Bayesian networks. Seventh International Conference on Forensic Inference and Statistics Lausanne, Switzerland 20 Aug 2008 - 23 Aug 2008. 01-01-2008
Neil M, Tailor M, Marquez D, Fenton NE and Hearty P (2008). Modelling dependable systems using hybrid Bayesian networks. Reliability Engineering and System Safety vol. 93 (7), 933-939. 01-01-2008
Marquez D, Neil M and Fenton N (2008). Solving Dynamic Fault Trees using a New Hybrid Bayesian Network Inference Algorithm. 01-01-2008
FENTON NE, Neil M and Marquez D (2008). Using Bayesian Networks to Predict Software Defects and Reliability. Proceedings of the Institution of Mechanical Engineers, Part O, Journal of Risk and Reliability, Institution of Mechanical Engineers vol. 222 (4), 701-712. 01-01-2008
Neil M, Marquez D and Fenton N (2008). Using Bayesian Networks to Model the Operational Risk to Information Technology Infrastructure in Financial Institutions. Journal of Financial Transformation vol. 22, 131-138. 01-01-2008
2007
Fenton NE, Neil M and Caballero JG (2007). Using ranked nodes to model qualitative judgments in Bayesian Networks. IEEE T KNOWL DATA EN vol. 19 (10), 1420-1432. 01-10-2007
Neil M, Tailor M and Marquez D (2007). Inference in hybrid Bayesian networks using dynamic discretization. STAT COMPUT vol. 17 (3), 219-233. 01-09-2007
Neil M, FENTON NE, Hearty P, Marquez D and Tailor M (2007). Modelling dependable systems using hybrid Bayesian networks. Reliability Engineering & System Safety vol. 93, 1-19. 01-03-2007
Neil M, Fenton N and Marquez D (2007). Using Bayesian Networks and Simulation for Data Fusion and Risk Analysis. NATO Science for Peace and Security Series: Information and Communication Security , Editors: Skanata and Byrd DM. 01-01-2007
Neil M, Tailor M and Marquez D (2007). Inference in hybrid Bayesian networks using dynamic discretization. Statistics and Computing vol. 17, 219-233-219-233. 01-01-2007
Fenton N, Neil M, Marsh W, Hearty P, Marquez D, Krause P and Mishra R (2007). Predicting software defects in varying development lifecycles using Bayesian nets. INFORM SOFTWARE TECH vol. 49 (1), 32-43. 01-01-2007
Khodakarami V, Fenton N and Neil M (2007). Project Scheduling: Improved approach to incorporate uncertainty using Bayesian Networks. Project Management Journal vol. 38, 39-49. 01-01-2007
Marquez D, Neil M and Fenton NE (2007). Improved Dynamic Fault Tree modelling using Bayesian Networks. 01-01-2007
Radliński Ł, Fenton NE, Marquez D and Hearty P (2007). Empirical Analysis of Software Defect Types. Information Systems Architecture and Technology: Information Technology and Web Engineering: Models, Concepts and Challenges (Proceedings of 28 International ISAT Conference) 223-231-223-231. 01-01-2007
Radliński Ł, Fenton NE, Neil M and Marquez D (2007). Improved Decision-Making for Software Managers Using Bayesian Networks. 01-01-2007
Fenton NE, Neil M, Marsh W, Hearty P, Radlinski L and Krause P (2007). Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. ICSE PROMISE (Predictive Models in Software Engineering) 07 Minneapolis, USA 1 Jan 1970. 01-01-2007
Fenton NE, Neil M and Gallan J (2007). Using Ranked nodes to model qualitative judgements in Bayesian Networks. IEEE Transactions on Knowledge and Data Engineering vol. 19, 1420-1432-1420-1432. 01-01-2007
Fenton NE and Neil M (2007). Managing Risk in the Modern World: Bayesian Networks and the Applications. 01-01-2007
Marquez D, Neil M and Fenton NE (2007). A new Bayesian Network approach to Reliability modelling. 01-01-2007
Radliński Ł, Fenton NE, Neil M and Marquez D (2007). Modelling Prior Productivity and Defect Rates in a Causal Model for Software Project Risk Assessment. Polish Journal of Environmental Studies vol. 16 (4A), 256-260. 01-01-2007
2006
Neil M, Fenton N and MARSH DWR (2006). A Software Metrics Challenge: Data for Project Prediction. 29th International Conference on Software Engineering (ICSE 2007), Minneapolis, USA. 01-12-2006
Fenton N and Neil M (2006). Expert elicitation for reliable system design - Comment. STAT SCI vol. 21 (4), 451-453. 01-11-2006
Fenton N and Neil M (2006). Comment: Expert elicitation for reliable system design. Statistical Science vol. 21 (4), 451-453. 01-11-2006
Joseph A, Fenton NE and Neil M (2006). Predicting football results using Bayesian nets and other machine learning techniques. KNOWL-BASED SYST vol. 19 (7), 544-553. 01-11-2006
Neil M, Tailor M, Fenton N, Marquez D and Hearty P (2006). Modeling Dependable Systems using Hybrid Bayesian Networks. 01-01-2006
Fenton NE, Radlinski L and Neil M (2006). Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. Software Engineering Techniques: Design for Quality (Prceedings of Software Engineering Techniques 2006, Warsaw, Poland, 17-20 Oct 2006) , Editors: Sacha K. 139-148-139-148. 01-01-2006
Neil M, FENTON NE, Krause P and Mishra R (2006). Bayesian networks for software process control. IEEE Transactions on Software Engineering 01-01-2006
Neil M, FENTON NE, Marsh W, Mishra R and Krause P (2006). Predicting Software Defects in Varying Development Lifecycles using Bayesian Nets. ICSE (International Conference on Software Engineering) 2006, May 20-28, 2006, Shanghai, China. 01-01-2006
Fenton NE and Neil M (2006). Expert Elicitation for Reliable System Design. Statistical Science vol. 21, 451-453-451-453. 01-01-2006
Neill M, Tailor M, Marquez D, Fenton N and Hearty P (2006). Modeling dependable systems using hybrid Bayesian networks. 01-01-2006
2005
Neil M, Fenton N and Tailor M (2005). Using Bayesian networks to model expected and unexpected operational losses. RISK ANAL vol. 25 (4), 963-972. 01-08-2005
NEIL MD and Fenton NE (2005). Improved Methods for building large-scale Bayesian Networks. Uncertainty in Artificial Intelligence (UAI) 2005, Edinburgh University. 01-01-2005
Hearty P, FENTON NE, Neil M and Cates P (2005). Automated population of causal models for improved software risk assessment. 20th IEEE/ACM International Conference on Automated Software Engineering Long Beach, California, USA 7 Nov 2005 - 11 Nov 2005. 01-01-2005
NEIL MD and Fenton NE (2005). Improved Software Defect Prediction. 10th European SEPG, London. 01-01-2005
Fenton NE and Neil M (2005). A Critique of Software Defect Prediction Models. Machine Learning Applications in Software Engineering , Editors: Zhang D and JJP T. 72-86-72-86. 01-01-2005
2004
Fenton N, Marsh W, Neil M, Cates P, Forey S and Tailor M (2004). Making resource decisions for software projects. 01-01-2004
Fenton NE and Neil M (2004). Combining evidence in risk analysis using Bayesian networks. Safety Critical Systems Newsletter vol. 14, 8-13-8-13. 01-01-2004
2003
Neil M, Fenton N, Forey S and Harris R (2003). Assessing Vehicle Reliability using Bayesian Networks. Global Vehicle Reliability , Editors: Strutt JE and Hall PL. 25-42-25-42. 01-01-2003
Neil M, Shaw R, Johnson S, Malcolm B, Donald I and Qiu XC (2003). Measuring & Managing Culturally Inspired Risk. 11th Safety-Critical Systems Symposium Bristol, UK 4 Feb 2003 - 6 Feb 2003. 01-01-2003
Neil M, Malcolm B and Shaw R (2003). Modeling an Air Traffic Control Environment Using Bayesian Belief Networks. 01-01-2003
Neil M, Fenton N, Forey S and Harris R (2003). Assessing vehicle reliability using Bayesian networks., Editors: Strutt JE and Hall PL. 01-01-2003
Neil M, FENTON NE and Krause P (2003). Software Quality Prediction Using Bayesian Networks. Software Engineering with Computational Intelligence. Khoshgoftaar, TM (ed) 01-01-2003
2002
Fenton N, Krause P and Neil M (2002). Software measurement: Uncertainty and causal modeling. IEEE SOFTWARE vol. 19 (4), 116-+. 01-07-2002
Fenton NE, Krause P and Neil M (2002). Probabilistic Modelling for Software Quality Control. Journal of Applied Non-Classical Logics vol. 12 (2), 173-188. 01-01-2002
2001
Fenton N and Neil M (2001). Making decisions: using Bayesian nets and MCDA. KNOWL-BASED SYST vol. 14 (7), 307-325. 01-11-2001
Neil M, Fenton N, Forey S and Harris R (2001). Using Bayesian belief networks to predict the reliability of military vehicles. COMPUT CONTROL ENG J vol. 12 (1), 11-20. 01-02-2001
Fenton N, Krause P and Neil M (2001). Probabilistic Modelling for Software Quality Control. 01-01-2001
Neil M, FENTON NE and Krause P (2001). Software Metrics: Uncertainty and causal Modelling. EuroSPI conference, Limerick Institute of Technology. 01-01-2001
2000
Neil M, Fenton N and Nielsen L (2000). Building large-scale Bayesian networks. KNOWL ENG REV vol. 15 (3), 257-284. 01-09-2000
Fenton NE and Neil M (2000). The Jury Fallacy and the use of Bayesian nets to simplify probabilistic legal arguments. Mathematics Today (Bulletin of the IMA) vol. 36 (6), 180-187. 01-01-2000
Fenton NE and Neil M (2000). Bayesian belief nets: a causal model for predicting defect rates and resource requirements. Software Testing and Quality Engineering vol. 2, 48-53-48-53. 01-01-2000
Littlewood B, Strigini L, Wright D, Fenton NE and Neil M (2000). Bayesian Belief Networks for Safety Assessment of Computer-based Systems. System Performance Evaluation Methodologies and Applications , Editors: Gelenbe E. 349-364-349-364. 01-01-2000
Neil M, Fenton N and Nielsen L (2000). Building large-scale Bayesian Networks. The Knowledge Engineering Review, 15(3) vol. 15, 257-284-257-284. 01-01-2000
1999
Fenton NE and Neil M (1999). Software metrics: successes, failures and new directions. Journal of Systems and Software vol. 47 (2-3), 149-157. 01-01-1999
Fenton NE and Neil M (1999). A critique of software defect prediction models. Software Engineering, IEEE Transactions on vol. 25 (5), 675-689. 01-01-1999
1998
Fenton NE and Neil M (1998). A strategy for improving safety related software engineering standards. Software Engineering, IEEE Transactions on vol. 24 (11), 1002-1013. 01-01-1998
Fenton NE, Littlewood B, Neil M, Strigini L, Sutcliffe A and Wright D (1998). Assessing dependability of safety critical systems using diverse evidence. IEE Proceedings Software vol. 145, 35-39-35-39. 01-01-1998
Courtois PJ, Fenton NE, Littlewood B, Neil M, Strigini L and Wright D (1998). Examination of bayesian belief network for safety assessment of nuclear computer-based systems. 01-01-1998
Neil M, Ostralenk G, Tobin M and Southworth M (1998). Lessons from using Z to specify a software tool. IEEE Transactions on Software Engineering vol. 24, 15-23-15-23. 01-01-1998
1996
Littlewood B, Neil M and Ostrolenk G (1996). Uncertainty in Software-Intensive Systems. High Integrity Systems Journal vol. 1, 407-413-407-413. 01-01-1996
Littlewood B, Neil M and Ostrolenk G (1996). The Role of Models in Managing Uncertainty of Software-Intensive Systems. Reliability Engineering and System Safety vol. 46, 87-95-87-95. 01-01-1996
Neil M, Littlewood B and Fenton NE (1996). Applying Bayesian belief networks to systems dependability assessment. Safety-Critical Systems: the Convergence Of High Tech and Human Factors; Proceedings of the 4th Safety Critical Systems Symposium , Editors: Redmill F. 71-93. 01-01-1996
1995
1994
Ostrolenk G, Tobin M, Southworth M and Neil M (1994). Cost Effective Evaluation of a COBOL Parser Using an Operational Profile. 01-01-1994
Neil MD (1994). Measurement as an alternative to Bureaucracy for the achievement of Software Quality. Software Quality Journal vol. 3, 65-78-65-78. 01-01-1994
1993
Neil MD and Lano K (1993). Approaches to Maintenance Process Improvement via Measurement. 27-09-1993
Neil MD and Bache RM (1993). Data Linkage Maps. Journal for Software Maintenance: Research and Practice vol. 5, 223-240-223-240. 01-01-1993
Woherem EE, Neil MD and Estdale JF (1993). Software Process Improvement through the GQM Approach: A Maintenance Case Study, Lake Tahoe, Nevada, USA. 01-01-1993
Neil M and Bache R (1993). Data linkage maps. Journal of Software Maintenance Research and Practice, Wiley vol. 5 (3), 155-164. 01-01-1993
1992
Neil MD (1992). Multivariate Assessment of Software Products. Journal of Software Testing, Verification and Reliability vol. 1, 17-37-17-37. 01-01-1992
1990
Bache RM and Neil M (1990). Validating Technologies for Certifying Software Products. Proceedings of IFIP Conference on Approving Software Products (ASP-90) 01-01-1990
Neil MD, Slater D and Cole RJ (1990). Measures for Maintenance Management: A Case Study. Journal for Software Maintenance: Research and Practice vol. 2, 223-240-223-240. 01-01-1990
Grants
Grants of specific relevance to the Centre for Multimodal AIKnowledge Discovery from Health Use DataWilliam Marsh, Martin Neil and John Robson
£171,569 Alan Turing Institute, The (01-04-2019 - 31-12-2020)
PAMBAYESIAN_FULLNorman Fenton, William Marsh, Martin Neil, Paul Curzon, Akram Alomainy, Dylan Morrissey, Graham Hitman, Anita Patel, Frances Humby, David Collier and Victoria Tzortziou Brown
£1,531,821 EPSRC Engineering and Physical Sciences Research Council (01-07-2017 - 30-06-2021)
Improved Understanding of Causal ModelsNorman Fenton and Martin Neil
£383,510 Leverhulme Trust (16-01-2017 - 19-02-2020)