Martin Neil

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 33

Top Topics

Risk Assessment

Bayesian Networks

Top Venues

Int. J. Approx. Reason.

Artif. Intell. Law

Expert Syst. Appl.

Publications

Joshua Hunte, Martin Neil, Norman E. Fenton
A hybrid Bayesian network for medical device risk assessment and management. Reliab. Eng. Syst. Saf. 241 (2024)
Scott McLachlan, Bridget J. Daley, Sam Saidi, Evangelia Kyrimi, Kudakwashe Dube, Crina Grossan, Martin Neil, Louise Rose, Norman E. Fenton
Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. BIOSTEC (2) (2024)
Peng Lin, Martin Neil, Norman E. Fenton
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models. CoRR (2024)
Joshua Hunte, Martin Neil, Norman E. Fenton
Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment. CoRR (2022)
Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman E. Fenton, Burkhard Schafer
Smart automotive technology adherence to the law: (de)constructing road rules for autonomous system development, verification and safety. Int. J. Law Inf. Technol. 29 (4) (2022)
Joshua Hunte, Martin Neil, Norman E. Fenton
A hybrid Bayesian network for medical device risk assessment and management. CoRR (2022)
Peng Lin, Martin Neil, Norman E. Fenton, Eugene Dementiev
Region-based estimation of the partition functions for hybrid Bayesian network models. Int. J. Intell. Syst. 37 (11) (2022)
Scott McLachlan, Martin Neil, Kudakwashe Dube, Ronny Bogani, Norman E. Fenton, Burkhard Schafer
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety. CoRR (2021)
Peng Lin, Martin Neil, Norman E. Fenton
A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models. IEEE Access 9 (2021)
Anthony C. Constantinou, Norman E. Fenton, Martin Neil
How do some Bayesian Network machine learned graphs compare to causal knowledge? CoRR (2021)
Jiali Wang, Martin Neil
A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples. CoRR (2021)
Norman E. Fenton, Martin Neil, Barbaros Yet, David A. Lagnado
Analyzing the Simonshaven Case Using Bayesian Networks. Top. Cogn. Sci. 12 (4) (2020)
Scott McLachlan, Peter Lucas, Kudakwashe Dube, Graham A. Hitman, Magda Osman, Evangelia Kyrimi, Martin Neil, Norman E. Fenton
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? CoRR (2020)
Peng Lin, Martin Neil, Norman E. Fenton
Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction. J. Artif. Intell. Res. 69 (2020)
Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton
Medical idioms for clinical Bayesian network development. J. Biomed. Informatics 108 (2020)
Scott McLachlan, Haydn Paterson, Kudakwashe Dube, Evangelia Kyrimi, Eugene Dementiev, Martin Neil, Bridget J. Daley, Graham A. Hitman, Norman E. Fenton
Real-time Online Probabilistic Medical Computation using Bayesian Networks. ICHI (2020)
Joshua Hunte, Martin Neil, Norman E. Fenton
Product risk assessment: a Bayesian network approach. CoRR (2020)
Norman E. Fenton, Martin Neil, Steven Frazier
The role of collider bias in understanding statistics on racially biased policing. CoRR (2020)
Norman E. Fenton, Martin Neil, Anthony C. Constantinou
The Book of Why: The New Science of Cause and Effect, Judea Pearl, Dana Mackenzie. Basic Books (2018). Artif. Intell. 284 (2020)
Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton
Medical idioms for clinical Bayesian network development. CoRR (2020)
Jiali Wang, Martin Neil, Norman E. Fenton
A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. Comput. Secur. 89 (2020)
Norman E. Fenton, Martin Neil, Anthony C. Constantinou
Simpson's Paradox and the implications for medical trials. CoRR (2019)
Takao Noguchi, Norman E. Fenton, Martin Neil
Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Norman E. Fenton, Takao Noguchi, Martin Neil
An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Martin Neil, Norman E. Fenton, David A. Lagnado, Richard David Gill
Modelling competing legal arguments using Bayesian model comparison and averaging. Artif. Intell. Law 27 (4) (2019)
Barbaros Yet, Martin Neil, Norman E. Fenton, Anthony C. Constantinou, Eugene Dementiev
An improved method for solving Hybrid Influence Diagrams. Int. J. Approx. Reason. 95 (2018)
Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil
Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization. IEEE Access 6 (2018)
Norman E. Fenton, David A. Lagnado, Christian Dahlman, Martin Neil
The opportunity prior: a simple and practical solution to the prior probability problem for legal cases. ICAIL (2017)
Barbaros Yet, Anthony C. Constantinou, Norman E. Fenton, Martin Neil, Eike Luedeling, Keith D. Shepherd
A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study. Expert Syst. Appl. 60 (2016)
Peng Lin, Martin Neil, Norman E. Fenton
Region Based Approximation for High Dimensional Bayesian Network Models. CoRR (2016)
Anthony Costa Constantinou, Barbaros Yet, Norman E. Fenton, Martin Neil, William Marsh
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences. Artif. Intell. Medicine 66 (2016)
Anthony Costa Constantinou, Norman E. Fenton, Martin Neil
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved. Expert Syst. Appl. 56 (2016)
Norman E. Fenton, Martin Neil, David A. Lagnado, William Marsh, Barbaros Yet, Anthony C. Constantinou
How to model mutually exclusive events based on independent causal pathways in Bayesian network models. Knowl. Based Syst. 113 (2016)
Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI (2015)
Norman E. Fenton, Martin Neil, Anne Hsu
Calculating and understanding the value of any type of match evidence when there are potential testing errors. Artif. Intell. Law 22 (1) (2014)
Yun Zhou, Norman E. Fenton, Martin Neil
Bayesian network approach to multinomial parameter learning using data and expert judgments. Int. J. Approx. Reason. 55 (5) (2014)
Norman E. Fenton, Martin Neil
Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks. IEEE Softw. 31 (2) (2014)
Yun Zhou, Norman E. Fenton, Martin Neil
An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. Probabilistic Graphical Models (2014)
Norman E. Fenton, Martin Neil, David A. Lagnado
A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cogn. Sci. 37 (1) (2013)
David A. Lagnado, Norman E. Fenton, Martin Neil
Legal idioms: a framework for evidential reasoning. Argument Comput. 4 (1) (2013)
Anthony C. Constantinou, Norman E. Fenton, Martin Neil
Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks. Knowl. Based Syst. 50 (2013)
Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu
Incorporating Expert Judgement into Bayesian Network Machine Learning. IJCAI (2013)
Helge Langseth, David Marquez, Martin Neil
Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation. IWINAC (1) (2013)
Anthony C. Constantinou, Norman E. Fenton, Martin Neil
pi-football: A Bayesian network model for forecasting Association Football match outcomes. Knowl. Based Syst. 36 (2012)
Martin Neil, David Marquez
Availability modelling of repairable systems using Bayesian networks. Eng. Appl. Artif. Intell. 25 (4) (2012)
Martin Neil, Xiaoli Chen, Norman E. Fenton
Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization. IEEE Trans. Knowl. Data Eng. 24 (7) (2012)
David Marquez, Martin Neil, Norman E. Fenton
Improved reliability modeling using Bayesian networks and dynamic discretization. Reliab. Eng. Syst. Saf. 95 (4) (2010)
Norman E. Fenton, Martin Neil
Comparing risks of alternative medical diagnosis using Bayesian arguments. J. Biomed. Informatics 43 (4) (2010)
Peter Stewart Hearty, Norman E. Fenton, David Marquez, Martin Neil
Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model. IEEE Trans. Software Eng. 35 (1) (2009)
Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause
On the effectiveness of early life cycle defect prediction with Bayesian Nets. Empir. Softw. Eng. 13 (5) (2008)
Martin Neil, Manesh Tailor, David Marquez, Norman E. Fenton, Peter Stewart Hearty
Modelling dependable systems using hybrid Bayesian networks. Reliab. Eng. Syst. Saf. 93 (7) (2008)
Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, Lukasz Radlinski, Paul Krause
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction. PROMISE@ICSE (2007)
Martin Neil, Manesh Tailor, David Marquez
Inference in hybrid Bayesian networks using dynamic discretization. Stat. Comput. 17 (3) (2007)
Norman E. Fenton, Martin Neil, William Marsh, Peter Stewart Hearty, David Marquez, Paul Krause, Rajat Mishra
Predicting software defects in varying development lifecycles using Bayesian nets. Inf. Softw. Technol. 49 (1) (2007)
Norman E. Fenton, Martin Neil, Jose Galan Caballero
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks. IEEE Trans. Knowl. Data Eng. 19 (10) (2007)
Martin Neil, Manesh Tailor, Norman E. Fenton, David Marquez, Peter Stewart Hearty
Modeling Dependable Systems using Hybrid Bayesian Networks. ARES (2006)
Norman E. Fenton, Lukasz Radlinski, Martin Neil
Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation. SET (2006)
Anito Joseph, Norman E. Fenton, Martin Neil
Predicting football results using Bayesian nets and other machine learning techniques. Knowl. Based Syst. 19 (7) (2006)
Peter Stewart Hearty, Norman E. Fenton, Martin Neil, Patrick Cates
Automated population of causal models for improved software risk assessment. ASE (2005)
Norman E. Fenton, William Marsh, Martin Neil, Patrick Cates, Simon Forey, Manesh Tailor
Making Resource Decisions for Software Projects. ICSE (2004)
Norman E. Fenton, Paul Krause, Martin Neil
Probability modelling for software quality control. J. Appl. Non Class. Logics 12 (2) (2002)
Norman E. Fenton, Paul Krause, Martin Neil
Software Measurement: Uncertainty and Causal Modeling. IEEE Softw. 19 (4) (2002)
Norman E. Fenton, Paul Krause, Martin Neil
Probabilistic Modelling for Software Quality Control. ECSQARU (2001)
Norman E. Fenton, Martin Neil
Making decisions: using Bayesian nets and MCDA. Knowl. Based Syst. 14 (7) (2001)
Norman E. Fenton, Martin Neil
Software metrics: roadmap. ICSE - Future of SE Track (2000)
Norman E. Fenton, Martin Neil
A Critique of Software Defect Prediction Models. IEEE Trans. Software Eng. 25 (5) (1999)
Norman E. Fenton, Martin Neil
Software metrics: successes, failures and new directions. J. Syst. Softw. 47 (2-3) (1999)
Martin Neil, Gary Ostrolenk, Mary Tobin, Mark Southworth
Lessons from Using Z to Specify a Software Tool. IEEE Trans. Software Eng. 24 (1) (1998)
Norman E. Fenton, Bev Littlewood, Martin Neil, Lorenzo Strigini, Alistair G. Sutcliffe, David Wright
Assesing dependability of safety critical systems using diverse evidence. IEE Proc. Softw. 145 (1) (1998)
Norman E. Fenton, Martin Neil
A Strategy for Improving Safety Related Software Engineering Standards. IEEE Trans. Software Eng. 24 (11) (1998)
Martin Neil
Are software failures deterministic? Inf. Softw. Technol. 39 (3) (1997)
Martin Neil, Bev Littlewood, Norman E. Fenton
Applying Bayesian Belief Networks to System Dependability Assessment. SSS (1996)
Martin Neil
Metrics and Models in Software Quality Engineering, by Stephen H. Kan, Addison-Wesley, 1995 (Book Review). Softw. Test. Verification Reliab. 5 (4) (1995)
Martin Neil, Richard Bache
Data linkage maps. J. Softw. Maintenance Res. Pract. 5 (3) (1993)
Martin Neil
Multivariate Assessment of Software Products. Softw. Test. Verification Reliab. 1 (4) (1992)
Martin Neil, Robert J. Cole, David Slater
Measures for maintenance management: A case study. J. Softw. Maintenance Res. Pract. 2 (4) (1990)