Norman E. Fenton

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 61

Top Venues

CoRR

Artif. Intell. Medicine

Expert Syst. Appl.

CogSci

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)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley
Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process. Artif. Intell. Law 31 (1) (2023)
Stephen H. Dewitt, Nine Adler, Carmen Li, Ekaterina Stoilova, Norman E. Fenton, David A. Lagnado
Categorical Updating in a Bayesian Propensity Problem. Cogn. Sci. 47 (7) (2023)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Burkhard Schafer
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law. CoRR (2022)
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)
Scott McLachlan, Kudakwashe Dube, Burkhard Schafer, Anthony Gillespie, Norman E. Fenton
The Chaotic State of UK Drone Regulation. 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)
Morghan Hartmann, Norman E. Fenton, Ruth Dobson
Development of Bayesian Network for Multiple Sclerosis Risk Factor Interaction Analysis. CIBB (2021)
Anthony C. Constantinou, Norman E. Fenton, Martin Neil
How do some Bayesian Network machine learned graphs compare to causal knowledge? CoRR (2021)
Stephen H. Dewitt, Carmen Li, Daniel Koh, Norman E. Fenton, David A. Lagnado
Categorical Belief Updating Under Uncertainty. CogSci (2021)
Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Ali Fahmi, Mariana Raniere Neves, William Marsh, Scott McLachlan
Bayesian networks in healthcare: What is preventing their adoption? Artif. Intell. Medicine 116 (2021)
Morghan Hartmann, Norman E. Fenton, Ruth Dobson
Current review and next steps for artificial intelligence in multiple sclerosis risk research. Comput. Biol. Medicine 132 (2021)
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future. Artif. Intell. Medicine 117 (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, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa Webley
Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process. CoRR (2020)
Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi
Bayesian Networks in Healthcare: Distribution by Medical Condition. CoRR (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)
Scott McLachlan, Evangelia Kyrimi, Bridget J. Daley, Kudakwashe Dube, Max Marsden, Sarah Finer, Graham A. Hitman, Norman E. Fenton
Incorporating Clinical Decisions into Standardised Caremaps. ICHI (2020)
Joshua Hunte, Martin Neil, Norman E. Fenton
Product risk assessment: a Bayesian network approach. CoRR (2020)
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future. CoRR (2020)
Bridget J. Daley, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Graham A. Hitman, Scott McLachlan
Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide. MIE (2020)
Scott McLachlan, Evangelia Kyrimi, Norman E. Fenton
Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. CoRR (2020)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Graham A. Hitman, Jennifer A. Simmonds, Norman E. Fenton
Towards standardisation of evidence-based clinical care process specifications. Health Informatics J. 26 (4) (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)
Kudakwashe Dube, Scott McLachlan, Ngonidzashe Zanamwe, Evangelia Kyrimi, Jasmine S. Thomson, Norman E. Fenton
Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. GHTC (2020)
Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi
Bayesian networks in healthcare: Distribution by medical condition. Artif. Intell. Medicine 107 (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)
Stephen Dewitt, Anne Hsu, David A. Lagnado, Saoirse Connor Desai, Norman E. Fenton
Nested Sets and Natural Frequencies. CogSci (2019)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton
Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. BIOSTEC (Selected Papers) (2019)
Norman E. Fenton, Martin Neil, Anthony C. Constantinou
Simpson's Paradox and the implications for medical trials. CoRR (2019)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton
Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised? HEALTHINF (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)
Scott McLachlan, Kudakwashe Dube, Thomas Gallagher, Jennifer A. Simmonds, Norman E. Fenton
Realistic Synthetic Data Generation: The ATEN Framework. BIOSTEC (Selected Papers) (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)
Stephen Dewitt, David A. Lagnado, Norman E. Fenton
Updating Prior Beliefs Based on Ambiguous Evidence. CogSci (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)
Anthony C. Constantinou, Norman E. Fenton
Towards smart-data: Improving predictive accuracy in long-term football team performance. Knowl. Based Syst. 124 (2017)
Anthony C. Constantinou, Norman E. Fenton
Improving Predictive Accuracy Using Smart-Data rather than Big-Data: A Case Study of Soccer Teams' Evolving Performance. BMA@UAI (2016)
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)
Yun Zhou, Timothy M. Hospedales, Norman E. Fenton
When and where to transfer for Bayesian network parameter learning. Expert Syst. Appl. 55 (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)
Eugene Dementiev, Norman E. Fenton
Bayesian Torrent Classification by File Name and Size Only. Probabilistic Graphical Models (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, Cheng Zhu
An empirical study of Bayesian network parameter learning with monotonic influence constraints. Decis. Support Syst. 87 (2016)
Anthony Costa Constantinou, Norman E. Fenton, William Marsh, Lukasz Radlinski
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support. Artif. Intell. Medicine 67 (2016)
Anthony C. Constantinou, Mark Freestone, William Marsh, Norman E. Fenton, Jeremy Coid
Risk assessment and risk management of violent reoffending among prisoners. Expert Syst. Appl. 42 (21) (2015)
Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI (2015)
Hana Chockler, Norman E. Fenton, Jeroen Keppens, David A. Lagnado
Causal analysis for attributing responsibility in legal cases. ICAIL (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)
Barbaros Yet, Zane Perkins, Norman E. Fenton, Nigel Tai, William Marsh
Not just data: A method for improving prediction with knowledge. J. Biomed. Informatics 48 (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)
Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman E. Fenton
Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care. UAI Application Workshops (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, 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)
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, Wei Wang
Risk and confidence analysis for fuzzy multicriteria decision making. Knowl. Based Syst. 19 (6) (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
Viewpoint Article: Conducting and Presenting Empirical Software Engineering. Empir. Softw. Eng. 6 (3) (2001)
Norman E. Fenton, Niclas Ohlsson
Quantitative Analysis of Faults and Failures in a Complex Software System. IEEE Trans. Software Eng. 26 (8) (2000)
Norman E. Fenton, Martin Neil
Software metrics: roadmap. ICSE - Future of SE Track (2000)
Kate Finney, Norman E. Fenton, Alexander M. Fedorec
Effects of structure on the comprehensivility of formal specifications. IEE Proc. Softw. 146 (4) (1999)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Norman E. Fenton