A Bayesian Network model of pregnancy outcomes for England and Wales - Scott McLachlan; Bridget J. Daley; Sam Saidi; Evangelia Kyrimi; Kudakwashe Dube; Crina Grosan; Martin Neil; Louise Rose; Norman E. Fenton (Comput. Biol. Medicine, 2025)

Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models - Peng Lin; Martin Neil; Norman E. Fenton (ACM Trans. Knowl. Discov. Data, 2025)

A hybrid Bayesian network for medical device risk assessment and management - Joshua Hunte; Martin Neil; Norman E. Fenton (Reliab. Eng. Syst. Saf., 2024)

Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales - Scott McLachlan; Bridget J. Daley; Sam Saidi; Evangelia Kyrimi; Kudakwashe Dube; Crina Grosan; Martin Neil; Louise Rose; Norman E. Fenton (Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2024, Volume 2, Rome, Italy, February 21-23, 2024, 2024)

Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models - Peng Lin; Martin Neil; Norman E. Fenton (CoRR, 2024)

Region-based estimation of the partition functions for hybrid Bayesian network models - Peng Lin; Martin Neil; Norman E. Fenton; Eugene Dementiev (Int. J. Intell. Syst., 2022)

Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety - Scott McLachlan; Martin Neil; Kudakwashe Dube; Ronny Bogani; Norman E. Fenton; Burkhard Schafer (Int. J. Law Inf. Technol., 2022)

Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment - Joshua Hunte; Martin Neil; Norman E. Fenton (CoRR, 2022)

A hybrid Bayesian network for medical device risk assessment and management - Joshua Hunte; Martin Neil; Norman E. Fenton (CoRR, 2022)

A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models - Peng Lin; Martin Neil; Norman E. Fenton (IEEE Access, 2021)

How do some Bayesian Network machine learned graphs compare to causal knowledge? - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (CoRR, 2021)

A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples - Jiali Wang; Martin Neil (CoRR, 2021)

Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety - Scott McLachlan; Martin Neil; Kudakwashe Dube; Ronny Bogani; Norman E. Fenton; Burkhard Schafer (CoRR, 2021)

The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018) - Norman E. Fenton; Martin Neil; Anthony C. Constantinou (Artif. Intell., 2020)

A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model - Jiali Wang; Martin Neil; Norman E. Fenton (Comput. Secur., 2020)

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction - Peng Lin; Martin Neil; Norman E. Fenton (J. Artif. Intell. Res., 2020)

Medical idioms for clinical Bayesian network development - Evangelia Kyrimi; Mariana Raniere Neves; Scott McLachlan; Martin Neil; William Marsh; Norman E. Fenton (J. Biomed. Informatics, 2020)

Analyzing the Simonshaven Case Using Bayesian Networks - Norman E. Fenton; Martin Neil; Barbaros Yet; David A. Lagnado (Top. Cogn. Sci., 2020)

Real-time Online Probabilistic Medical Computation using Bayesian Networks - Scott McLachlan; Haydn Paterson; Kudakwashe Dube; Evangelia Kyrimi; Eugene Dementiev; Martin Neil; Bridget J. Daley; Graham A. Hitman; Norman E. Fenton (8th IEEE International Conference on Healthcare Informatics, ICHI 2020, Oldenburg, Germany, November 30 - December 3, 2020, 2020)

Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? - Scott McLachlan; Peter Lucas; Kudakwashe Dube; Graham A. Hitman; Magda Osman; Evangelia Kyrimi; Martin Neil; Norman E. Fenton (CoRR, 2020)

Medical idioms for clinical Bayesian network development - Evangelia Kyrimi; Mariana Raniere Neves; Scott McLachlan; Martin Neil; William Marsh; Norman E. Fenton (CoRR, 2020)

The role of collider bias in understanding statistics on racially biased policing - Norman E. Fenton; Martin Neil; Steven Frazier (CoRR, 2020)

Product risk assessment: a Bayesian network approach - Joshua Hunte; Martin Neil; Norman E. Fenton (CoRR, 2020)

Modelling competing legal arguments using Bayesian model comparison and averaging - Martin Neil; Norman E. Fenton; David A. Lagnado; Richard David Gill (Artif. Intell. Law, 2019)

Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes - Takao Noguchi; Norman E. Fenton; Martin Neil (IEEE Trans. Knowl. Data Eng., 2019)

An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems - Norman E. Fenton; Takao Noguchi; Martin Neil (IEEE Trans. Knowl. Data Eng., 2019)

Simpson's Paradox and the implications for medical trials - Norman E. Fenton; Martin Neil; Anthony C. Constantinou (CoRR, 2019)

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization - Barbaros Yet; Anthony C. Constantinou; Norman E. Fenton; Martin Neil (IEEE Access, 2018)

An improved method for solving Hybrid Influence Diagrams - Barbaros Yet; Martin Neil; Norman E. Fenton; Anthony C. Constantinou; Eugene Dementiev (Int. J. Approx. Reason., 2018)

The opportunity prior: a simple and practical solution to the prior probability problem for legal cases - Norman E. Fenton; David A. Lagnado; Christian Dahlman; Martin Neil (Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, ICAIL 2017, London, United Kingdom, June 12-16, 2017, 2017)

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences - Anthony Costa Constantinou; Barbaros Yet; Norman E. Fenton; Martin Neil; William Marsh (Artif. Intell. Medicine, 2016)

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved - Anthony Costa Constantinou; Norman E. Fenton; Martin Neil (Expert Syst. Appl., 2016)

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study - Barbaros Yet; Anthony C. Constantinou; Norman E. Fenton; Martin Neil; Eike Luedeling; Keith D. Shepherd (Expert Syst. Appl., 2016)

How to model mutually exclusive events based on independent causal pathways in Bayesian network models - Norman E. Fenton; Martin Neil; David A. Lagnado; William Marsh; Barbaros Yet; Anthony C. Constantinou (Knowl. Based Syst., 2016)

Region Based Approximation for High Dimensional Bayesian Network Models - Peng Lin; Martin Neil; Norman E. Fenton (CoRR, 2016)

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints - Yun Zhou; Norman E. Fenton; Timothy M. Hospedales; Martin Neil (Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, UAI 2015, July 12-16, 2015, Amsterdam, The Netherlands, 2015)

Calculating and understanding the value of any type of match evidence when there are potential testing errors - Norman E. Fenton; Martin Neil; Anne Hsu (Artif. Intell. Law, 2014)

Bayesian network approach to multinomial parameter learning using data and expert judgments - Yun Zhou; Norman E. Fenton; Martin Neil (Int. J. Approx. Reason., 2014)

Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks - Norman E. Fenton; Martin Neil (IEEE Softw., 2014)

An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints - Yun Zhou; Norman E. Fenton; Martin Neil (Probabilistic Graphical Models - 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings, 2014)

Legal idioms: a framework for evidential reasoning - David A. Lagnado; Norman E. Fenton; Martin Neil (Argument Comput., 2013)

A General Structure for Legal Arguments About Evidence Using Bayesian Networks - Norman E. Fenton; Martin Neil; David A. Lagnado (Cogn. Sci., 2013)

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2013)

Incorporating Expert Judgement into Bayesian Network Machine Learning - Yun Zhou; Norman E. Fenton; Martin Neil; Cheng Zhu (IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, 2013)

Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation - Helge Langseth; David Marquez; Martin Neil (Natural and Artificial Models in Computation and Biology - 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013, Mallorca, Spain, June 10-14, 2013. Proceedings, Part I, 2013)

Availability modelling of repairable systems using Bayesian networks - Martin Neil; David Marquez (Eng. Appl. Artif. Intell., 2012)

pi-football: A Bayesian network model for forecasting Association Football match outcomes - Anthony C. Constantinou; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2012)

Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization - Martin Neil; Xiaoli Chen; Norman E. Fenton (IEEE Trans. Knowl. Data Eng., 2012)

Comparing risks of alternative medical diagnosis using Bayesian arguments - Norman E. Fenton; Martin Neil (J. Biomed. Informatics, 2010)

Improved reliability modeling using Bayesian networks and dynamic discretization - David Marquez; Martin Neil; Norman E. Fenton (Reliab. Eng. Syst. Saf., 2010)

Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model - Peter Stewart Hearty; Norman E. Fenton; David Marquez; Martin Neil (IEEE Trans. Software Eng., 2009)

On the effectiveness of early life cycle defect prediction with Bayesian Nets - Norman E. Fenton; Martin Neil; William Marsh; Peter Stewart Hearty; Lukasz Radlinski; Paul Krause (Empir. Softw. Eng., 2008)

Modelling dependable systems using hybrid Bayesian networks - Martin Neil; Manesh Tailor; David Marquez; Norman E. Fenton; Peter Stewart Hearty (Reliab. Eng. Syst. Saf., 2008)

Predicting software defects in varying development lifecycles using Bayesian nets - Norman E. Fenton; Martin Neil; William Marsh; Peter Stewart Hearty; David Marquez; Paul Krause; Rajat Mishra (Inf. Softw. Technol., 2007)

Inference in hybrid Bayesian networks using dynamic discretization - Martin Neil; Manesh Tailor; David Marquez (Stat. Comput., 2007)

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks - Norman E. Fenton; Martin Neil; Jose Galan Caballero (IEEE Trans. Knowl. Data Eng., 2007)

Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction - Norman E. Fenton; Martin Neil; William Marsh; Peter Stewart Hearty; Lukasz Radlinski; Paul Krause (Proceedings of the Third International Workshop on Predictor Models in Software Engineering, PROMISE '07, Minneapolis, MN, USA, May 2007, 2007)

Predicting football results using Bayesian nets and other machine learning techniques - Anito Joseph; Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2006)

Modeling Dependable Systems using Hybrid Bayesian Networks - Martin Neil; Manesh Tailor; Norman E. Fenton; David Marquez; Peter Stewart Hearty (Proceedings of the The First International Conference on Availability, Reliability and Security, ARES 2006, The International Dependability Conference - Bridging Theory and Practice, April 20-22 2006, Vienna University of Technology, Austria, 2006)

Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation - Norman E. Fenton; Lukasz Radlinski; Martin Neil (Software Engineering Techniques: Design for Quality, SET 2006, October 17-20, 2006, Warsaw, Poland, 2006)

Automated population of causal models for improved software risk assessment - Peter Stewart Hearty; Norman E. Fenton; Martin Neil; Patrick Cates (20th IEEE/ACM International Conference on Automated Software Engineering (ASE 2005), November 7-11, 2005, Long Beach, CA, USA, 2005)

Making Resource Decisions for Software Projects - Norman E. Fenton; William Marsh; Martin Neil; Patrick Cates; Simon Forey; Manesh Tailor (26th International Conference on Software Engineering (ICSE 2004), 23-28 May 2004, Edinburgh, United Kingdom, 2004)

Probability modelling for software quality control - Norman E. Fenton; Paul Krause; Martin Neil (J. Appl. Non Class. Logics, 2002)

Software Measurement: Uncertainty and Causal Modeling - Norman E. Fenton; Paul Krause; Martin Neil (IEEE Softw., 2002)

Making decisions: using Bayesian nets and MCDA - Norman E. Fenton; Martin Neil (Knowl. Based Syst., 2001)

Probabilistic Modelling for Software Quality Control - Norman E. Fenton; Paul Krause; Martin Neil (Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 6th European Conference, ECSQARU 2001, Toulouse, France, September 19-21, 2001, Proceedings, 2001)

Software metrics: roadmap - Norman E. Fenton; Martin Neil (22nd International Conference on on Software Engineering, Future of Software Engineering Track, ICSE 2000, Limerick Ireland, June 4-11, 2000, 2000)

Software metrics: successes, failures and new directions - Norman E. Fenton; Martin Neil (J. Syst. Softw., 1999)

A Critique of Software Defect Prediction Models - Norman E. Fenton; Martin Neil (IEEE Trans. Software Eng., 1999)

Assesing dependability of safety critical systems using diverse evidence - Norman E. Fenton; Bev Littlewood; Martin Neil; Lorenzo Strigini; Alistair G. Sutcliffe; David Wright (IEE Proc. Softw., 1998)

Lessons from Using Z to Specify a Software Tool - Martin Neil; Gary Ostrolenk; Mary Tobin; Mark Southworth (IEEE Trans. Software Eng., 1998)

A Strategy for Improving Safety Related Software Engineering Standards - Norman E. Fenton; Martin Neil (IEEE Trans. Software Eng., 1998)

Are software failures deterministic? - Martin Neil (Inf. Softw. Technol., 1997)

Applying Bayesian Belief Networks to System Dependability Assessment - Martin Neil; Bev Littlewood; Norman E. Fenton (Safety-Critical Systems: The Convergence of High Tech and Human Factors - Proceedings of the Fourth Safety-critical Systems Symposium, SSS 1996, Leeds, UK, February 6-8, 1996, 1996)

Metrics and Models in Software Quality Engineering, by Stephen H. Kan, Addison-Wesley, 1995 (Book Review) - Martin Neil (Softw. Test. Verification Reliab., 1995)

Data linkage maps - Martin Neil; Richard Bache (J. Softw. Maintenance Res. Pract., 1993)

Multivariate Assessment of Software Products - Martin Neil (Softw. Test. Verification Reliab., 1992)

Measures for maintenance management: A case study - Martin Neil; Robert J. Cole; David Slater (J. Softw. Maintenance Res. Pract., 1990)