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 AI2025
A Bayesian Network model of pregnancy outcomes for England and WalesMcLachlan S Daley BJ Saidi S Kyrimi E Dube K Grosan C Neil M
Computers in Biology and Medicine, Elsevier vol. 189
15-03-2025
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network ModelsLin P Neil M Fenton N
Acm Transactions on Knowledge Discovery From Data, Association For Computing Machinery (Acm) vol. 19 (3), 1-28.
22-02-2025
2024
The effect of risk communication on consumers’ risk perception, risk tolerance and utility of smart and non-smart home appliancesHunte JL Neil M Fenton NE Osman M Bechlivanidis C
Safety Science, Elsevier vol. 174
01-06-2024
Fighting Goliath Exposing the Flawed Science and Statistics Behind the COVID-19 EventFenton N
01-01-2024
A hybrid Bayesian network for medical device risk assessment and managementHunte JL Neil M Fenton NE
Reliability Engineering & System Safety, Elsevier vol. 241
01-01-2024
Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and WalesMcLachlan S Daley B Saidi S Kyrimi E Dube K Grossan C Neil M
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies., 604-612.
01-01-2024
2022
Region‐based estimation of the partition functions for hybrid Bayesian network modelsLin P Neil M Fenton N Dementiev E
International Journal of Intelligent Systems, Wiley vol. 37 (11), 8897-8927.
03-08-2022
Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safetyMclachlan S Neil M Dube K Bogani R Fenton N Schaffer B
International Journal of Law and Information Technology vol. 29 (4), 255-295.
22-02-2022
A causal Bayesian network approach for consumer product safety and risk assessment.Hunte JL Neil M Fenton NE
J Safety Res vol. 80, 198-214.
01-02-2022
2021
A causal Bayesian network approach for consumer product safety and risk assessmentHunte JL Neil M Fenton NE
Journal of Safety Research, Elsevier vol. 80, 198-214.
18-12-2021
Bayesian Hypothesis Testing and Hierarchical Modeling of Ivermectin Effectiveness.Neil M Fenton N
American Journal of Therapeutics, Wolters Kluwer Health, Inc. vol. 28 (5), e576-e579.
01-09-2021
Positive results from UK single gene testing for SARS-COV-2 may be
inconclusive, negative or detecting past infectionsNeil M
23-02-2021
A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic ModelsLin P Neil M Fenton N
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) vol. 9, 125428-125438.
01-01-2021
2020
Real-time Online Probabilistic Medical Computation using Bayesian NetworksMclachlan S Paterson H Dube K Kyrimi E Dementiev E Neil M Daley BJ Hitman GA et al.
2020 IEEE International Conference on Healthcare Informatics (ICHI). vol. 00, 1-8.
03-12-2020
Learning from behavioural changes that failOsman M meder B Fenton N Neil M Mclachlan S Löfsted R
Trends in Cognitive Sciences, Elsevier
28-10-2020
Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region ConstructionLin P Neil M Fenton N
Journal of Artificial Intelligence Research, AI Access Foundation vol. 69, 231-295.
27-09-2020
Medical idioms for clinical Bayesian network developmentKyrimi E Raniere Neves M Mclachlan S Neil M Marsh W Fenton N
Journal of Biomedical Informatics, Elsevier
30-06-2020
Bayesian Network Analysis of Covid-19 data reveals higher Infection Prevalence Rates and lower Fatality Rates than widely reportedNeil M Fenton N Osman M McLachlan S
Journal of Risk Research, Taylor & Francis (Routledge)
26-05-2020
Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reportedNeil M Fenton N Osman M McLachlan S
Journal of Risk Research
24-05-2020
COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testingFenton N Osman M Mclachlan S Neil M
Journal of Risk Research, Taylor & Francis (Routledge)
24-04-2020
The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie, Basic Books (2018)Fenton N Neil M Constantinou A
Artificial Intelligence, Elsevier Bv vol. 284, 103286-103286.
21-04-2020
2019
A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR modelWang J Neil M Fenton N
Computers and Security, Elsevier vol. 89
03-11-2019
The Opportunity Prior: A proof-based prior for criminal casesFenton N Lagnado D Dahlman C Neil M
Law, Probability and Risk, Oxford University Press (OUP)
20-05-2019
Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessmentNeil M Fenton N Osman M Lagnado D
Journal of Risk Research
10-05-2019
Modelling competing legal arguments using Bayesian model comparison and averagingNeil M Fenton N Lagnado D Gill RD
Artificial Intelligence and Law, Springer Nature vol. 27 (4), 403-430.
27-03-2019
Analyzing the Simonshaven Case Using Bayesian NetworksFenton N Neil M Yet B Lagnado D
Topics in Cognitive Science, Wiley vol. 12 (4), 1092-1114.
12-03-2019
An extension to the noisy-OR function to resolve the ‘explaining away’ deficiency for practical Bayesian network problemFENTON NE NEIL M NOGUCHI T
IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers
10-01-2019
2018
Addressing the Practical Limitations of Noisy-OR using Conditional Inter-causal Anti-Correlation with Ranked NodesFENTON NE NOGUCHI T NEIL M
IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers
04-10-2018
Risk Assessment and Decision Analysis with Bayesian NetworksFenton N Neil M
03-09-2018
Who do we trust on social policy interventionsOSMAN M FENTON NE Pilditch T Lagnado D NEIL M
Basic and Applied Social Psychology
30-07-2018
Whom Do We Trust on Social Policy Interventions?Osman M Fenton N Pilditch T Lagnado D Neil M
Basic and Applied Social Psychology
30-07-2018
Improving Software Testing with Causal ModelingFenton N Neil M
In Analytic Methods in Systems and Software Testing, Wiley 27-64.
06-07-2018
An Improved Method for Solving Hybrid Influence DiagramsYET B NEIL M FENTON N CONSTANTINOU AC DEMENTIEV E
International Journal of Approximate Reasoning, Elsevier
01-04-2018
Lawnmowers versus terrorists: A highly misleading view of riskFENTON NE NEIL M
Significance, Royal Statistical Society vol. 15 (1), 12-15.
06-02-2018
Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic DiscretizationYet B Constantinou A Fenton N Neil M
IEEE Access, Institute of Electrical and Electronics Engineers (IEEE) vol. 6, 7802-7817.
01-01-2018
2017
The Opportunity Prior: A Simple and Practical Solution to the Prior Probability Problem for Legal CasesFENTON NE Lagnado D Dahlman C Neil M
International Conference on AI and the Law (ICAIL 17) Kings College, London 12 Jun 2017 - 15 Jun 2017.
12-06-2017
Risk Management Using Bayesian NetworksNeil M Fenton N
In Wiley Statsref: Statistics Reference Online, Wiley 1-6.
15-05-2017
2016
How to model mutually exclusive events based on independent causal pathways in Bayesian network modelsFenton N Neil M Lagnado D William M Yet B CONSTANTINOU AC
Knowledge-Based Systems
17-09-2016
A Bayesian Network Framework for Project Cost, Benefit and Risk Analysis with an Agricultural Development Case StudyYet B CONSTANTINOU AC Fenton N Neil M Luedeling E Shepherd K
Expert Systems With Applications
04-05-2016
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobservedCONSTANTINOU AC FENTON N NEIL M
Expert Systems With Applications
18-03-2016
Bayes and the LawFENTON NE neil M Berger D
Annual Review of Statistics and Its Application vol. 3, 51-77.
09-03-2016
2015
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciencesConstantinou AC Yet B Fenton N Neil M Marsh W
Artificial Intelligence in Medicine, Elsevier vol. 66, 41-52.
08-09-2015
Probabilistic Graphical Models Parameter Learning with Transferred Prior and ConstraintsFENTON NE Zhou Y Hospedales T Neil M
Uncertainty in Artificial Intelligence Amsterdam, Netherlands 12 Jul 2015 - 16 Jul 2015., 972-981.
13-07-2015
Probabilistic graphical models parameter learning with transferred prior and constraintsZhou Y Fenton N Hospedales TM Neil M
Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, UAI 2015., 972-981.
01-01-2015
2014
Risk Aggregation in the presence of Discrete Causally Connected Random VariablesLin P Neil M Fenton NE
Annals of Actuarial Science vol. 8 (2), 298-319.
26-08-2014
Response to \on the use of the likelihood ratio for forensic evaluation: response to Fenton et al.\.Fenton N Lagnado D Hsu A Berger D Neil M
Sci Justice vol. 54 (4), 319-320.
01-07-2014
Decision Support Software for Probabilistic Risk Assessment Using Bayesian NetworksFenton NE Neil M
IEEE Software, IEEE Explore vol. 31 (2), 21-26.
01-01-2014
Bayesian network approach to multinomial parameter learning using data and expert judgmentsZhou Y Fenton N Neil M
International Journal of Approximate Reasoning, Elsevier/Science Direct vol. 55, 1252-1268.
01-01-2014
An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior ConstraintsZhou Y Fenton N Neil M
Lecture Notes in Computer Science, Springer Nature vol. 8754, 581-596.
01-01-2014
2013
Calculating and understanding the value of any type of match evidence when there are potential testing errorsFenton NE Neil M Hsu A
Artificial Intelligence and Law, Springer (Part of Springer Nature) vol. 22 (1), 1-28.
11-10-2013
A General Structure for Legal Arguments About Evidence Using Bayesian NetworksFENTON NE Neil M Lagnado D
Cognitive Science, Wiley Online Library vol. 37 (1), 61-102.
01-01-2013
Incorporating Expert Judgement into Bayesian Network Machine LearningZhou Y Fenton N Neil M Zhu C
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence., 3249-3250.
01-01-2013
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networksConstantinou AC Fenton NE Neil M
Knowledge-Based Systems vol. 50, 60-86.
01-01-2013
When 'neutral' evidence still has probative value (with implications from the Barry George Case)Fenton N Berger D Lagnado D Neil M Hsu A
Science and Justice
01-01-2013
Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic DiscretisationLangseth H Marquez D Neil M
Lecture Notes in Computer Science. vol. 7930, 225-234.
01-01-2013
2012
pi-football: A Bayesian network model for forecasting Association Football match outcomesConstantinou A FENTON NE Neil M
Knowledge Based Systems, Elsevier vol. 36, 322-339.
01-12-2012
Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks using Binary FactorizationNeil M Chen X Fenton NE
IEEE Transactions on Knowledge and Data Engineering, IEEE vol. 7 (24), 1306-1312.
01-07-2012
Availability modelling of repairable systems using Bayesian networksNeil M Marquez D
Engineering Applications of Artificial Intelligence, Elsevier/Science Direct vol. 25 (4), 698-704.
01-06-2012
Legal idioms: a framework for evidential reasoningFENTON NE Lagnado D Neil M
Argument and Computation, Taylor & Francis Online vol. 4 (1), 46-63.
25-05-2012
Risk Assessment with Bayesian NetworksFENTON NE Neil M
01-01-2012
2011
Avoiding Legal Fallacies in Practice Using Bayesian NetworksFENTON NE Neil M
Australian Journal of Legal Philosophy vol. 36, 114-150.
01-01-2011
The use of Bayes' and causal modelling in decision making, uncertainty and riskFENTON NE Neil M
Upgrade, The Journal of Cepis (Council of European Professional Informatics Societies) vol. 12 (5), 10-21.
01-01-2011
2010
Comparing risks of alternative medical diagnosis using Bayesian arguments.Fenton N Neil M
J Biomed Inform vol. 43 (4), 485-495.
01-08-2010
Improved Reliability Modeling using Bayesian Networks and Dynamic DiscretizationNeil M Marquez D Fenton N
Journal of Reliability Engineering and System Safety vol. 95 (4), 412-425.
01-01-2010
Software project and quality modelling using Bayesian networksFenton NE Hearty P Neil M Radliński Ł
In Artificial Intelligence Applications For Improved Software Engineering Development: New Prospects, Igi Global 1-25.
01-01-2010
Improved reliability modeling using Bayesian networks and dynamic discretizationMarquez D Neil M Fenton N
Reliability Engineering & System Safety vol. 95 (4), 412-425.
01-01-2010
2009
Dependability Modelling of Repairable Systems using Bayesian NetworksNeil M Marquez D
Ifac-Papersonline, Elsevier vol. 42 (5), 221-226.
01-06-2009
Dependability modelling of repairable systems using Bayesian NetworksNeil M Marquez D
IFAC Proceedings Volumes (IFAC-PapersOnline). vol. 2 (PART 1), 221-226.
01-01-2009
Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network ModelHearty P Fenton N Marquez D Neil M
IEEE T Software Eng vol. 35 (1), 124-137.
01-01-2009
Software Project and Quality Modelling Using Bayesian NetworksN Fenton MN Radliński Ł
In Artificial Intelligence Applications For Improved Software Engineering Development: New Prospects. (Part of The Advances in Intelligent Information Technologies (Aiit) Book Series), Information Science Reference. 1-25.
01-01-2009
Modeling Operational Risk in Financial Institutions using Hybrid Dynamic Bayesian NetworksNeil M Hager D
Journal of Operational Risk vol. 4 (1), 3-33.
01-01-2009
2008
Solving dynamic fault trees using a new hybrid Bayesian network inference algorithmMarquez D Neil M Fenton N
2008 Mediterranean Conference on Control and Automation - Conference Proceedings, Med'08, 609-614.
06-10-2008
On the effectiveness of early life cycle defect prediction with Bayesian NetsFenton N Neil M Marsh W Hearty P Radlinski L Krause P
Empirical Software Engineering vol. 13 (5), 499-537.
01-10-2008
Avoiding legal fallacies in practice using Bayesian networksFenton NE Neil M
Seventh International Conference on Forensic Inference and Statistics Lausanne, Switzerland 20 Aug 2008 - 23 Aug 2008.
01-01-2008
Modelling dependable systems using hybrid Bayesian networksNeil M Tailor M Marquez D Fenton NE Hearty P
Reliability Engineering and System Safety vol. 93 (7), 933-939.
01-01-2008
Solving Dynamic Fault Trees using a New Hybrid Bayesian Network Inference AlgorithmMarquez D Neil M Fenton N
2008 MEDITERRANEAN CONFERENCE ON CONTROL AUTOMATION, VOLS 1-4., 1526-1531.
01-01-2008
Using Bayesian Networks to Predict Software Defects and ReliabilityFENTON NE Neil M Marquez D
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
Using Bayesian Networks to Model the Operational Risk to Information Technology Infrastructure in Financial InstitutionsNeil M Marquez D Fenton N
Journal of Financial Transformation vol. 22, 131-138.
01-01-2008
2007
Using ranked nodes to model qualitative judgments in Bayesian NetworksFenton NE Neil M Caballero JG
IEEE T Knowl Data En vol. 19 (10), 1420-1432.
01-10-2007
Inference in hybrid Bayesian networks using dynamic discretizationNeil M Tailor M Marquez D
Stat Comput vol. 17 (3), 219-233.
01-09-2007
Modelling dependable systems using hybrid Bayesian networksNeil M FENTON NE Hearty P Marquez D Tailor M
Reliability Engineering & System Safety vol. 93, 1-19.
01-03-2007
Using Bayesian Networks and Simulation for Data Fusion and Risk AnalysisNeil M Fenton N Marquez D
In Nato Science For Peace and Security Series: Information and Communication Security, Ios Press, Nieuwe Hemweg 6b, 1013 Bg Amsterdam, The Netherlands
01-01-2007
Inference in hybrid Bayesian networks using dynamic discretizationNeil M Tailor M Marquez D
Statistics and Computing vol. 17, 219-233-219-233.
01-01-2007
Predicting software defects in varying development lifecycles using Bayesian netsFenton N Neil M Marsh W Hearty P Marquez D Krause P Mishra R
Inform Software Tech vol. 49 (1), 32-43.
01-01-2007
Project Scheduling: Improved approach to incorporate uncertainty using Bayesian NetworksKhodakarami V Fenton N Neil M
Project Management Journal vol. 38, 39-49.
01-01-2007
Improved Dynamic Fault Tree modelling using Bayesian NetworksMarquez D Neil M Fenton NE
The 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2007.
01-01-2007
Empirical Analysis of Software Defect TypesRadliński Ł Fenton NE Marquez D Hearty P
In Information Systems Architecture and Technology: Information Technology and Web Engineering: Models, Concepts and Challenges (Proceedings of 28 International Isat Conference), Oficyna Wydawnicza Politechniki WrocłAwskiej, WrocłAw 223-231-223-231.
01-01-2007
Project Data Incorporating Qualitative Factors for Improved Software Defect PredictionFenton NE Neil M Marsh W Hearty P Radlinski L Krause P
ICSE PROMISE (Predictive Models in Software Engineering) 07 Minneapolis, USA 1 Jan 1970.
01-01-2007
Using Ranked nodes to model qualitative judgements in Bayesian NetworksFenton NE Neil M Gallan J
IEEE Transactions on Knowledge and Data Engineering vol. 19, 1420-1432-1420-1432.
01-01-2007
Managing Risk in the Modern World: Bayesian Networks and the ApplicationsFenton NE Neil M
01-01-2007
A new Bayesian Network approach to Reliability modellingMarquez D Neil M Fenton NE
5th International Mathematical Methods in Reliability Conference (MMR 07).
01-01-2007
Improved Decision-Making for Software Managers Using Bayesian NetworksRadliński Ł Fenton NE Neil M Marquez D
11th IASTED Int. Conf. Software Engineering and Applications (SEA) Cambridge, MA, USA., 13-19.
01-01-2007
Modelling Prior Productivity and Defect Rates in a Causal Model for Software Project Risk AssessmentRadliński Ł Fenton NE Neil M Marquez D
Polish Journal of Environmental Studies vol. 16 (4A), 256-260.
01-01-2007
2006
A Software Metrics Challenge: Data for Project PredictionNeil M Fenton N MARSH DWR
29th International Conference on Software Engineering (ICSE 2007), Minneapolis, USA.
01-12-2006
Expert elicitation for reliable system design - CommentFenton N Neil M
Stat Sci vol. 21 (4), 451-453.
01-11-2006
Comment: Expert elicitation for reliable system designFenton N Neil M
Statistical Science vol. 21 (4), 451-453.
01-11-2006
Predicting football results using Bayesian nets and other machine learning techniquesJoseph A Fenton NE Neil M
Knowl-Based Syst vol. 19 (7), 544-553.
01-11-2006
AgenaRiskNeil M FENTON NE
01-03-2006
Modeling Dependable Systems using Hybrid Bayesian NetworksNeil M Tailor M Fenton N Marquez D Hearty P
First International Conference on Availability, Reliability and Security (ARES’06)., 817-823-817-823.
01-01-2006
Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic DiscretisationFenton NE Radlinski L Neil M
In Software Engineering Techniques: Design For Quality (Prceedings of Software Engineering Techniques 2006, Warsaw, Poland, 17-20 Oct 2006), Springer, Boston 139-148-139-148.
01-01-2006
Bayesian networks for software process controlNeil M FENTON NE Krause P Mishra R
IEEE Transactions on Software Engineering
01-01-2006
Predicting Software Defects in Varying Development Lifecycles using Bayesian NetsNeil M FENTON NE Marsh W Mishra R Krause P
ICSE (International Conference on Software Engineering) 2006, May 20-28, 2006, Shanghai, China.
01-01-2006
Expert Elicitation for Reliable System DesignFenton NE Neil M
Statistical Science vol. 21, 451-453-451-453.
01-01-2006
Modeling dependable systems using hybrid Bayesian networksNeill M Tailor M Marquez D Fenton N Hearty P
First International Conference on Availability, Reliability and Security, Proceedings., 817-821.
01-01-2006
2005
Using Bayesian networks to model expected and unexpected operational lossesNeil M Fenton N Tailor M
Risk Anal vol. 25 (4), 963-972.
01-08-2005
Improved Methods for building large-scale Bayesian NetworksNEIL MD Fenton NE
Uncertainty in Artificial Intelligence (UAI) 2005, Edinburgh University.
01-01-2005
Automated population of causal models for improved software risk assessmentHearty P FENTON NE Neil M Cates P
20th IEEE/ACM International Conference on Automated Software Engineering Long Beach, California, USA 7 Nov 2005 - 11 Nov 2005., 433-434.
01-01-2005
Improved Software Defect PredictionNEIL MD Fenton NE
10th European SEPG, London.
01-01-2005
A Critique of Software Defect Prediction ModelsFenton NE Neil M
In Machine Learning Applications in Software Engineering, World Scientific Publishing Co 72-86.
01-01-2005
2004
Making resource decisions for software projectsFenton N Marsh W Neil M Cates P Forey S Tailor M
ICSE 2004: 26TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, PROCEEDINGS., 397-406.
01-01-2004
Combining evidence in risk analysis using Bayesian networksFenton NE Neil M
Safety Critical Systems Newsletter vol. 14, 8-13-8-13.
01-01-2004
2003
Improved programme selection.NEIL M Fenton NE
International Patent WO 03/090466 A2.
30-10-2003
Improved Programme SelectionNeil M FENTON NE
30-10-2003
Assessing Vehicle Reliability using Bayesian NetworksNeil M Fenton N Forey S Harris R
In Global Vehicle Reliability, Professional Engineering Publishing 25-42-25-42.
01-01-2003
Measuring & Managing Culturally Inspired RiskNeil M Shaw R Johnson S Malcolm B Donald I Qiu XC
11th Safety-Critical Systems Symposium Bristol, UK 4 Feb 2003 - 6 Feb 2003., 43-61.
01-01-2003
Modeling an Air Traffic Control Environment Using Bayesian Belief NetworksNeil M Malcolm B Shaw R
21st International System Safety Conference 2003 Ottawa, Ontario Canada 4 Aug 2003 - 8 Aug 2003.
01-01-2003
Assessing vehicle reliability using Bayesian networksNeil M Fenton N Forey S Harris R
GLOBAL VEHICLE RELIABILITY., 25-41.
01-01-2003
Software Quality Prediction Using Bayesian NetworksNeil M FENTON NE Krause P
In Software Engineering With Computational Intelligence. Khoshgoftaar, Tm (Ed), Kluwer
01-01-2003
2002
Software measurement: Uncertainty and causal modelingFenton N Krause P Neil M
IEEE Software vol. 19 (4), 116-+.
01-07-2002
Probabilistic Modelling for Software Quality ControlFenton NE Krause P Neil M
Journal of Applied Non-Classical Logics vol. 12 (2), 173-188.
01-01-2002
2001
Making decisions: using Bayesian nets and MCDAFenton N Neil M
Knowl-Based Syst vol. 14 (7), 307-325.
01-11-2001
Using Bayesian belief networks to predict the reliability of military vehiclesNeil M Fenton N Forey S Harris R
Comput Control Eng J vol. 12 (1), 11-20.
01-02-2001
Probabilistic Modelling for Software Quality ControlFenton N Krause P Neil M
Lecture Notes in Computer Science. vol. 2143, 444-453.
01-01-2001
Software Metrics: Uncertainty and causal ModellingNeil M FENTON NE Krause P
EuroSPI conference, Limerick Institute of Technology.
01-01-2001
2000
Building large-scale Bayesian networksNeil M Fenton N Nielsen L
Knowl Eng Rev vol. 15 (3), 257-284.
01-09-2000
Software metrics: roadmapFenton NE Neil M
ICSE 2000: Proceedings of the Conference on The Future of Software Engineering., 357-370-357-370.
01-01-2000
The Jury Fallacy and the use of Bayesian nets to simplify probabilistic legal argumentsFenton NE Neil M
Mathematics Today (Bulletin of The Ima) vol. 36 (6), 180-187.
01-01-2000
Bayesian belief nets: a causal model for predicting defect rates and resource requirementsFenton NE Neil M
Software Testing and Quality Engineering vol. 2, 48-53-48-53.
01-01-2000
Bayesian Belief Networks for Safety Assessment of Computer-based SystemsLittlewood B Strigini L Wright D Fenton NE Neil M
In System Performance Evaluation Methodologies and Applications, Crc Press, Boca Raton 349-364-349-364.
01-01-2000
Building large-scale Bayesian NetworksNeil M Fenton N Nielsen L
The Knowledge Engineering Review, 15(3) vol. 15, 257-284-257-284.
01-01-2000
1999
Software metrics: successes, failures and new directionsFenton NE Neil M
Journal of Systems and Software vol. 47 (2-3), 149-157.
01-01-1999
A critique of software defect prediction modelsFenton NE Neil M
Software Engineering, IEEE Transactions On vol. 25, 675-689-675-689.
01-01-1999
1998
A strategy for improving safety related software engineering standardsFenton NE Neil M
Software Engineering, IEEE Transactions On vol. 24 (11), 1002-1013.
01-01-1998
Assessing dependability of safety critical systems using diverse evidenceFenton NE Littlewood B Neil M Strigini L Sutcliffe A Wright D
Iee Proceedings Software vol. 145, 35-39-35-39.
01-01-1998
Examination of bayesian belief network for safety assessment of nuclear computer-based systemsCourtois PJ Fenton NE Littlewood B Neil M Strigini L Wright D
01-01-1998
Lessons from using Z to specify a software toolNeil M Ostralenk G Tobin M Southworth M
IEEE Transactions on Software Engineering vol. 24, 15-23-15-23.
01-01-1998
1996
Predicting Software Quality using Bayesian Belief NetworksNeil M Fenton N
Proceedings of the 21st Annual Software Engineering Workshop at NASA Goddard Space Flight Centre.
01-12-1996
Uncertainty in Software-Intensive SystemsLittlewood B Neil M Ostrolenk G
High Integrity Systems Journal vol. 1, 407-413-407-413.
01-01-1996
The Role of Models in Managing Uncertainty of Software-Intensive SystemsLittlewood B Neil M Ostrolenk G
Reliability Engineering and System Safety vol. 46, 87-95-87-95.
01-01-1996
Applying Bayesian belief networks to systems dependability assessmentNeil M Littlewood B Fenton NE
In Safety-Critical Systems: The Convergence of High Tech and Human Factors; Proceedings of The 4th Safety Critical Systems Symposium, Springer Verlag 71-93.
01-01-1996
1995
Introducing Metrics into Industry: A Perspective on GQMBache RM Neil MD
Software Quality Assurance and Measurement: A Worldwide Perspective.
01-12-1995
Statistical Control of Software QualityNeil MD
01-01-1995
1994
Cost Effective Evaluation of a COBOL Parser Using an Operational ProfileOstrolenk G Tobin M Southworth M Neil M
Proceedings of the Eleventh Annual Conference of the Centre for Software Reliability (CSR).
01-01-1994
Measurement as an alternative to Bureaucracy for the achievement of Software QualityNeil MD
Software Quality Journal vol. 3, 65-78-65-78.
01-01-1994
Metrics AnalysisNeil MD Bache RM
01-01-1994
1993
Approaches to Maintenance Process Improvement via MeasurementNeil MD Lano K
European Conference on Software Maintenance. The CSM (Centre for Software Maintenance), Durham University.
27-09-1993
Data Linkage MapsNeil MD Bache RM
Journal For Software Maintenance: Research and Practice vol. 5, 223-240-223-240.
01-01-1993
Software Process Improvement through the GQM Approach: A Maintenance Case Study, Lake Tahoe, Nevada, USAWoherem EE Neil MD Estdale JF
3rd International Conference on Software Quality.
01-01-1993
Data linkage mapsNeil M Bache R
Journal of Software Maintenance Research and Practice, Wiley vol. 5 (3), 155-164.
01-01-1993
1992
Multivariate Assessment of Software ProductsNeil MD
Journal of Software Testing, Verification and Reliability vol. 1, 17-37-17-37.
01-01-1992
1990
Validating Technologies for Certifying Software ProductsBache RM Neil M
In Proceedings of Ifip Conference on Approving Software Products (Asp-90), North-Holland
01-01-1990
Measures for Maintenance Management: A Case StudyNeil MD Slater D Cole RJ
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
Research Group
PhD Students
- Phil Mercy
Rim (Minds) - Ciaran O'Flynn
Causal Reasoning and Bayesian Networks Applied to Pet Health and Petcare
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