N. Fenton

发表

The opportunity prior: a simple and practical solution to the prior probability problem for legal cases

David A. Lagnado, Norman E. Fenton, Martin Neil, 2017, ICAIL.

A General Structure for Legal Arguments Using Bayesian Networks

N. Fenton, 2010 .

Nested Sets and Natural Frequencies

Stephen H. Dewitt, Anne Hsu, David Lagnado, 2019, CogSci.

How to model mutually exclusive events based on independent causal pathways in Bayesian network models

William Marsh, Norman E. Fenton, David A. Lagnado, 2016, Knowl. Based Syst..

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

Norman E. Fenton, Eike Luedeling, Anthony C. Constantinou, 2016, Expert Syst. Appl..

When 'neutral' evidence still has probative value (with implications from the Barry George Case).

Anne S. Hsu, D. Lagnado, N. Fenton, 2014, Science & justice : journal of the Forensic Science Society.

Policy: Development goals should enable decision-making

N. Fenton, K. Shepherd, E. Luedeling, 2015, Nature.

Modelling Project Trade-Off Using Bayesian Networks

Norman Fenton, Lukasz Radlinski, Milijana Fineman, 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

Modelling Prior Productivity and Defect Rates in a Causal Model for Software Project Risk Assessment

N. Fenton, M. Neil, D. Marquez, 2007 .

Software Measurement: Why a Formal Approach?

Norman E. Fenton, N. Fenton, 1991, Formal Aspects of Measurement.

Deriving structurally based software measures

Austin Melton, Norman E. Fenton, A. Melton, 1990, Journal of Systems and Software.

Quantitative Analysis of Faults and Failures in a Complex Software System

Norman E. Fenton, Niclas Ohlsson, N. Fenton, 2000, IEEE Trans. Software Eng..

Assessment of the methodological quality of local clinical practice guidelines on the identification and management of gestational diabetes

Bridget J. Daley, G. Hitman, N. Fenton, 2019, BMJ Open.

A note on 'Collider bias undermines our understanding of COVID-19 disease risk and severity' and how causal Bayesian networks both expose and resolve the problem

N. Fenton, 2020, 2005.08608.

Explaining Away, Augmentation, and the Assumption of Independence

D. Lagnado, U. Hahn, N. Fenton, 2020, Frontiers in Psychology.

The Zero-Sum Fallacy in Evidence Evaluation

Toby D. Pilditch, D. Lagnado, N. Fenton, 2018, Psychological science.

Risk assessment and risk management of violent re-offending among prisoners

N. Fenton, J. Coid, W. Marsh, 2018 .

Improving risk management for violence in mental health services: a multimethods approach

N. Fenton, Junmei Hu, Min Yang, 2016 .

When and Where to Transfer for Bayes Net Parameter Learning.

Timothy M. Hospedales, N. Fenton, Yun Zhou, 2016, Expert systems with applications.

Chapter 1 Software Project and Quality Modelling Using Bayesian Networks

N. Fenton, 2009 .

Improved Software Defect Prediction

N. Fenton, 2006 .

ESTIMATING PRODUCTIVITY AND DEFECT RATES BASED ON ENVIRONMENTAL FACTORS

N. Fenton, D. Marquez, ski, 2008 .

A Learning Bayesian Net for Predicting Number of Software Defects Found in a Sequence of Testing

N. Fenton, M. Neil, Uniwersytet Szczeciński, 2008 .

Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction

N. Fenton, M. Neil, W. Marsh, 2007, Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007).

Science and law: Improve statistics in court

N. Fenton, 2011, Nature.

1 Bayes and the Law

N. Fenton, M. Neil, Daniel Berger, 2015 .

Bayes and the Law : Supplementary Material

N. Fenton, M. Neil, Daniel Berger, 2016 .

Improving statistical estimates used in the courtroom

N. Fenton, 2022 .

On limiting the use of Bayes in presenting forensic evidence

N. Fenton, M. Neil, 2012 .

Managing Risk in the Modern World : Applications of Bayesian Networks

N. Fenton, M. Neil, 2007 .

Ac ce pt ed m an us cr ip t 1 Modelling Dependable Systems using Hybrid Bayesian Networks

N. Fenton, M. Neil, Manesh Tailor, 2007 .

3 NPT Node Probability Table PAND Priority AND PDEP Probability Dependency Gate SEQ Sequential Enforcing Gate WSP Warm Spare Gate 2

N. Fenton, M. Neil, D. Marquez, 2007 .

Dependencies in evidential reports: The case for informational advantages

Toby D. Pilditch, D. Lagnado, U. Hahn, 2020, Cognition.

Learning from Behavioural Changes That Fail

Björn Meder, N. Fenton, M. Neil, 2020, Trends in Cognitive Sciences.

Using Soft Evidence to Model Mutually Exclusive Causes in Bayesian Networks

D. Lagnado, N. Fenton, M. Neil, 2022 .

Modelling mutually exclusive causes in Bayesian networks

Norman Fenton, David Lagnado, Martin Neil, 2011 .

The “ Jury Fallacy ” and the use of Bayesian Networks to present Probabilistic Legal Arguments

Norman Fenton, Martin Neil, N. Fenton, 2007 .

Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries

N. Fenton, A. Constantinou, 2013 .

Bayesian networks for unbiased assessment of referee bias in Association Football

Anthony Constantinou, Norman Fenton, N. Fenton, 2014 .

Profiting from arbitrage and odds biases of the European football gambling market

Anthony Constantinou, Norman Fenton, N. Fenton, 2013 .

Engineering Experts ' Panel : The Status and Future of SBSE in the Software Engineering Community

A. Finkelstein, N. Fenton, M. Soffa, 2009 .

Software metrics (2nd ed.): a rigorous and practical approach

Shari Lawrence Pfleeger, Norman E. Fenton, S. Pfleeger, 1997 .

A Case Study Validation of an Extreme Programming Bayesian Network Model

N. Fenton, M. Neil, D. Marquez, 2007 .

Using Bayesian Networks and Simulation for Data Fusion and Risk Analysis

Norman Fenton, Martin Neil, David Marquez, 2006 .

Improved prediction in Extreme Programming Projects using Bayesian Networks

N. Fenton, M. Neil, D. Marquez, 2006 .

Evaluating the Predictive Accuracy of Association Football Forecasting Systems

N. Fenton, A. Constantinou, 2011 .

Towards standardisation of evidence-based clinical care process specifications

Jennifer A. Simmonds, G. Hitman, N. Fenton, 2020, Health Informatics J..

1 Assessing evidence and testing appropriate hypotheses

N. Fenton, 2014 .

Defining the Structure of Bayesian Networks

Martin Neil, Norman Fenton, N. Fenton, 2018, Risk Assessment and Decision Analysis with Bayesian Networks.

On the limitations of probabilistic claims about the probative value of mixed DNA profile evidence

N. Fenton, M. Neil, A. Jamieson, 2020, 2009.08850.

Matroid Representation of Projective Spaces

Norman E. Fenton, N. Fenton, 1984, Eur. J. Comb..

Propensities and Second Order Uncertainty: A Modified Taxi Cab Problem

D. Lagnado, A. Liefgreen, N. Fenton, 2020, Frontiers in Psychology.

Malcom Kendrick “ Doctoring Data : How to sort out medical advice from medical nonsense ”

Norman Fenton, Martin Neil, N. Fenton, 2015 .

Appreciation to Empirical Software Engineering Reviewers of 2017

Yuriy Brun, Jacques Klein, Max E. Kramer, 2018, Empirical Software Engineering.

Managing Knowledge Incorporated into Solutions for Customisable Global Health Technologies

N. Fenton, Kudakwashe Dube, N. Zanamwe, 2019 .

Development goals should enable decision-making.

Jan de Leeuw, Norman Fenton, Keith D. Shepherd, 2015 .

The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks

N. Fenton, A. Constantinou, 2017, PloS one.

The Basics of Probability

Norman Fenton, Martin Neil, N. Fenton, 2018, Risk Assessment and Decision Analysis with Bayesian Networks.

Whom Do We Trust on Social Policy Interventions?

Toby D. Pilditch, D. Lagnado, N. Fenton, 2018, Basic and Applied Social Psychology.

Discrepancies and inconsistencies in UK Government datasets compromise accuracy of mortality rate comparisons between vaccinated and unvaccinated

N. Fenton, M. Neil, S. McLachlan, 2021 .

Using Bayesian networks to guide the assessment of new evidence in an appeal case

D. Lagnado, N. Fenton, R. Morgan, 2016, Crime science.

Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment

N. Fenton, M. Neil, Joshua Hunte, 2022, ArXiv.

Improving Software Testing with Causal Modeling

Martin Neil, Norman Fenton, N. Fenton, 2018, Analytic Methods in Systems and Software Testing.

Product risk assessment: a Bayesian network approach pdf

Norman Fenton, Martin Neil, Joshua Hunte, 2020, Journal of safety research.

Region‐based estimation of the partition functions for hybrid Bayesian network models

N. Fenton, M. Neil, Eugene Dementiev, 2022, Int. J. Intell. Syst..

Modelling dependable systems using hybrid Bayesian networks

Norman E. Fenton, Martin Neil, Manesh Tailor, 2008, Reliab. Eng. Syst. Saf..

Software Metrics

Shari Lawrence Pfleeger, Norman Fenton, S. Pfleeger, 1991 .

Software metrics - a practical and rigorous approach (2. ed.)

Shari Lawrence Pfleeger, Norman E. Fenton, S. Pfleeger, 1996 .

A hybrid Bayesian network for medical device risk assessment and management

N. Fenton, M. Neil, Joshua Hunte, 2022, Reliab. Eng. Syst. Saf..

Bayesian belief networks for safety assessment of computer-based systems

Bev Littlewood, Lorenzo Strigini, Martin Neil, 2000 .

Predicting Software Quality using Bayesian Belief Networks

N. Fenton, M. Neil, 1996 .

Axiomatic Approach to Software Metrication Through Program Decomposition

Robin W. Whitty, Norman E. Fenton, N. Fenton, 1986, Comput. J..

Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment

D. Lagnado, N. Fenton, M. Neil, 2019, Journal of Risk Research.

A Bayesian network model for personalised COVID19 risk assessment and contact tracing

N. Fenton, M. Neil, Kudakwashe Dube, 2021 .

Software engineering metrics. Vol. 1: Measures and validations. Martin Shepperd, Published by McGraw‐Hill Book Company Europe, Maidenhead, U.K., 1993. ISBN 0‐07‐707410‐6, 302 pages. Price: £35.00, hard cover

Norman Fenton, N. Fenton, 1994 .

Expert Elicitation for Reliable System Design

N. Fenton, M. Neil, 2006 .

Bayesian Networks in Healthcare: Distribution by Medical Condition

Kudakwashe Dube, Evangelia Kyrimi, Scott McLachlan, 2020, Artif. Intell. Medicine.

An improved method for solving Hybrid Influence Diagrams

Norman E. Fenton, Martin Neil, Anthony C. Constantinou, 2018, Int. J. Approx. Reason..

Making decisions: using Bayesian nets and MCDA

Norman E. Fenton, Martin Neil, N. Fenton, 2001, Knowl. Based Syst..

A framework for analysing learning health systems: Are we removing the most impactful barriers?

Owen Johnson, Kudakwashe Dube, Henry W. W. Potts, 2019, Learning health systems.

The Heimdall framework for supporting characterisation of learning health systems

William Marsh, Norman Fenton, Kudakwashe Dube, 2018, BMJ Health & Care Informatics.

Risk assessment and risk management of violent reoffending among prisoners

William Marsh, Norman E. Fenton, Anthony C. Constantinou, 2015, Expert Syst. Appl..

Risk Assessment and Decision Analysis with Bayesian Networks

Norman Fenton, Martin Neil, N. Fenton, 2012 .

Integrating Expert Knowledge with Data in Bayesian Networks: Preserving Data-Driven Expectations when the Expert Variables Remain Unobserved

Norman Fenton, Martin Neil, Anthony Costa Constantinou, 2016, Expert Syst. Appl..

A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model

Norman Fenton, Martin Neil, Jiali Wang, 2020, Comput. Secur..

A Generalized Associative Petri Net for Reasoning

N.E. Fenton, M. Neil, J. Galan Caballero, 2007, IEEE Transactions on Knowledge and Data Engineering.

The role of collider bias in understanding statistics on racially biased policing pdf

Norman Fenton, Martin Neil, Steven Frazier, 2020, ArXiv.

Simpson's Paradox and the implications for medical trials pdf

Anthony Constantinou, Norman Fenton, Martin Neil, 2019, ArXiv.

Not just data: A method for improving prediction with knowledge

William Marsh, Norman E. Fenton, Barbaros Yet, 2014, J. Biomed. Informatics.

Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? pdf

Peter Lucas, Kudakwashe Dube, Evangelia Kyrimi, 2020, ArXiv.

Bayesianism: Objections and Rebuttals

D. Lagnado, N. Fenton, 2021, Philosophical Foundations of Evidence Law.

Resolving the so-called "probabilistic paradoxes in legal reasoning" with Bayesian networks.

Norman Fenton, David Lagnado, Takao Noguchi, 2019, Science & justice : journal of the Forensic Science Society.

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction

Norman E. Fenton, Peng Lin, Martin Neil, 2020, J. Artif. Intell. Res..

Bayesian Hypothesis Testing and Hierarchical Modeling of Ivermectin Effectiveness

N. Fenton, M. Neil, 2021, American journal of therapeutics.

Risk aggregation in the presence of discrete causally connected random variables

Peng Lin, Norman Fenton, Martin Neil, 2014, Annals of Actuarial Science.

Optimizing the Calculation of Conditional Probability Tables in Hybrid Bayesian Networks Using Binary Factorization

Norman E. Fenton, Martin Neil, Xiaoli Chen, 2012, IEEE Transactions on Knowledge and Data Engineering.

When a software measure is not a measure

Norman E. Fenton, N. Fenton, 1992, Softw. Eng. J..

Moving from Philosophy to Practice in Software Measurement

Robin W. Whitty, James M. Bieman, Austin Melton, 1991, Formal Aspects of Measurement.

Software Metrics : A Rigorous and Practical Approach

Shari Lawrence Pfleeger, Norman Fenton, S. Pfleeger, 1998 .

A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing

N. Fenton, S. McLachlan, E. Kyrimi, 2020, medRxiv.

Legal idioms: a framework for evidential reasoning

David A. Lagnado, Norman E. Fenton, Martin Neil, 2013, Argument Comput..

Bayes and the Law.

Norman Fenton, Martin Neil, Daniel Berger, 2016, Annual review of statistics and its application.

Avoiding probabilistic reasoning fallacies in legal practice using Bayesian networks

Norman Fenton, Martin Neil, N. Fenton, 2011 .

A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future pdf

Norman Fenton, Kudakwashe Dube, Ali Fahmi, 2020, Artif. Intell. Medicine.

A Critique of Software Defect Prediction Models

Norman E. Fenton, Martin Neil, N. Fenton, 1999, IEEE Trans. Software Eng..

Bayesian network approach to multinomial parameter learning using data and expert judgments

Yun Zhou, Norman E. Fenton, Martin Neil, 2014, Int. J. Approx. Reason..

Bayesian networks in healthcare: What is preventing their adoption?

William Marsh, Norman Fenton, Kudakwashe Dube, 2021, Artif. Intell. Medicine.

pi-football: A Bayesian network model for forecasting Association Football match outcomes

Anthony Constantinou, Norman Fenton, Martin Neil, 2012, Knowl. Based Syst..

Predicting football results using Bayesian nets and other machine learning techniques

N. Fenton, M. Neil, A. Joseph, 2006, Knowl. Based Syst..

How effective are software engineering methods?

Norman E. Fenton, N. Fenton, 1993, J. Syst. Softw..

Building large-scale Bayesian networks

Martin Neil, Lars Nielson, Norman Fenton, 2000, The Knowledge Engineering Review.

Predicting software defects in varying development lifecycles using Bayesian nets

William Marsh, Norman E. Fenton, Paul Krause, 2007, Inf. Softw. Technol..

Software Metrics: A Rigorous Approach

Norman E. Fenton, N. Fenton, 1991 .

Towards a Framework for Software Measurement Validation

Shari Lawrence Pfleeger, Barbara A. Kitchenham, Norman E. Fenton, 1995, IEEE Trans. Software Eng..

3 Editorial. CEPIS UPGRADE: A Proud Farewell — Nello Scarabottolo, President of CEPIS

Darren Dalcher, Nello Scarabottolo, Martin Neil, 2011 .

Risk and confidence analysis for fuzzy multicriteria decision making

Wei Wang, Norman E. Fenton, N. Fenton, 2006, Knowl. Based Syst..

Software metrics: roadmap

Norman E. Fenton, Martin Neil, N. Fenton, 2000, ICSE '00.

Rigorously assessing software reliability and safety

Lorenzo Strigini, Norman Fenton, L. Strigini, 1996 .

Things to know about Bayesian networks: Decisions under uncertainty, part 2

Anthony Constantinou, Norman Fenton, N. Fenton, 2018 .

Towards smart-data: Improving predictive accuracy in long-term football team performance

Norman E. Fenton, Anthony C. Constantinou, N. Fenton, 2017, Knowl. Based Syst..

Solving the Problem of Inadequate Scoring Rules for Assessing Probabilistic Football Forecast Models

Anthony Constantinou, Norman Fenton, N. Fenton, 2012 .

Science and substance: a challenge to software engineers

Robert L. Glass, Shari Lawrence Pfleeger, Norman E. Fenton, 1994, IEEE Software.

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

Norman E. Fenton, Martin Neil, Jose Galan Caballero, 2007, IEEE Transactions on Knowledge and Data Engineering.

Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification

Norman E. Fenton, Kudakwashe Dube, Evangelia Kyrimi, 2019, BIOSTEC.

Software metrics: successes, failures and new directions

Norman E. Fenton, Martin Neil, N. Fenton, 1999, J. Syst. Softw..

Software Metrics and Risk FESMA 99 2 nd European Software Measurement Conference 8 October , 1999

Norman Fenton, Martin Neil Agena, N. Fenton, 1999 .

Measurement : A Necessary Scientific Basis

Norman E. Fenton, N. Fenton, 2004 .

Validating software measures

Barbara A. Kitchenham, Norman E. Fenton, B. Kitchenham, 1991, Softw. Test. Verification Reliab..

Software measurement: A conceptual framework

Norman E. Fenton, Martin E. Bush, N. Fenton, 1990, J. Syst. Softw..

A philosophy for software measurement

Albert L. Baker, Robin W. Whitty, James M. Bieman, 1990, J. Syst. Softw..

How do some Bayesian Network machine learned graphs compare to causal knowledge? pdf

Norman Fenton, Martin Neil, Anthony C. Constantinou, 2021, ArXiv.

On the effectiveness of early life cycle defect prediction with Bayesian Nets

William Marsh, Norman E. Fenton, Paul Krause, 2008, Empirical Software Engineering.

Comparing risks of alternative medical diagnosis using Bayesian arguments

Norman E. Fenton, Martin Neil, N. Fenton, 2010, J. Biomed. Informatics.

An Extension to the Noisy-OR Function to Resolve the ‘Explaining Away’ Deficiency for Practical Bayesian Network Problems

Norman Fenton, Martin Neil, Takao Noguchi, 2019, IEEE Transactions on Knowledge and Data Engineering.

Making Decisions: Bayesian Nets and MCDA

Norman Fenton, Martin Neil, N. Fenton, 1999 .

The Role of Measurement in Software Safety Assessment

Norman Fenton, N. Fenton, 1997 .

Applying Bayesian Belief Networks to System Dependability Assessment

Bev Littlewood, Norman Fenton, Martin Neil, 1996, SSS.

From complex questionnaire and interviewing data to intelligent Bayesian Network models for medical decision support

William Marsh, Norman Fenton, Lukasz Radlinski, 2016, Artif. Intell. Medicine.

Calculating the Likelihood Ratio for Multiple Pieces of Evidence

Norman Fenton, Martin Neil, N. Fenton, 2021, 2106.05328.

Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks

Norman E. Fenton, Martin Neil, N. Fenton, 2014, IEEE Software.

Using Bayesian networks to predict software defects and reliability

Martin Neil, Norman Fenton, David Marquez, 2008 .

A Strategy for Improving Safety Related Software Engineering Standards

Norman E. Fenton, Martin Neil, N. Fenton, 1998, IEEE Trans. Software Eng..

Towards Operational Measures of Computer Security

David Wright, Sarah Brocklehurst, Bev Littlewood, 1993, J. Comput. Secur..

Project Scheduling: Improved Approach to Incorporate Uncertainty Using Bayesian Networks

Martin Neil, Vahid Khodakarami, Norman Fenton, 2007 .

LAGOS: learning health systems and how they can integrate with patient care

Norman Fenton, Kudakwashe Dube, Evangelia Kyrimi, 2019, BMJ Health & Care Informatics.

Software Metrics: A Rigorous and Practical Approach, Third Edition

James M. Bieman, Norman Fenton, N. Fenton, 2014 .

Making resource decisions for software projects

William Marsh, Norman E. Fenton, Martin Neil, 2004, Proceedings. 26th International Conference on Software Engineering.

Software Measurement: Uncertainty and Causal Modeling

Norman E. Fenton, Paul Krause, Martin Neil, 2002, IEEE Softw..

An empirical study of Bayesian network parameter learning with monotonic influence constraints

Yun Zhou, Norman E. Fenton, Cheng Zhu, 2016, Decis. Support Syst..

COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing

N. Fenton, M. Neil, S. McLachlan, 2020, Journal of Risk Research.

The "Jury Observation Fallacy" and the use of Bayesian Networks to present Probabilistic Legal Arguments

Norman Fenton, Martin Neil, N. Fenton, 2007 .

Medical idioms for clinical Bayesian network development

Norman Fenton, Evangelia Kyrimi, Scott McLachlan, 2020, J. Biomed. Informatics.

Categorical Updating in a Bayesian Propensity Problem

D. Lagnado, N. Fenton, Stephen Dewitt, 2023, Cogn. Sci..

Realistic Synthetic Data Generation: The ATEN Framework

Norman E. Fenton, Kudakwashe Dube, Scott McLachlan, 2018, BIOSTEC.

The use of Bayes and causal modelling in decision making, uncertainty and risk

Norman Fenton, Martin Neil, N. Fenton, 2011 .

Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process pdf

Norman Fenton, Kudakwashe Dube, Lisa Webley, 2020, Artificial Intelligence and Law.

Probabilistic

Dale Schuurmans, Russell Greiner, William W. Cohen, 2019, 99 Variations on a Proof.

Software Metrics : A Rigorous and Practical Approach

S. Pfleeger, N. Fenton, 1998 .

Implementing Effective Software Metrics Programs

Norman E. Fenton, Tracy Hall, N. Fenton, 1997, IEEE Softw..

Implementing software metrics — the critical success factors

Norman Fenton, Tracy Hall, N. Fenton, 1994, Software Quality Journal.

Software metrics: successes, failures and new directions

N. Fenton, M. Neil, 1999, J. Syst. Softw..

Assesing dependability of safety critical systems using diverse evidence

David Wright, Bev Littlewood, Lorenzo Strigini, 1998, IEE Proc. Softw..

Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model

Norman E. Fenton, Martin Neil, David Marquez, 2009, IEEE Transactions on Software Engineering.

Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised?

Kudakwashe Dube, Evangelia Kyrimi, Scott McLachlan, 2019, HEALTHINF.

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

Anthony Constantinou, Norman Fenton, Barbaros Yet, 2018, IEEE Access.

Modeling dependable systems using hybrid Bayesian networks

Norman E. Fenton, Martin Neil, Manesh Tailor, 2006, First International Conference on Availability, Reliability and Security (ARES'06).

Solving dynamic fault trees using a new Hybrid Bayesian Network inference algorithm

N. Fenton, M. Neil, D. Marquez, 2008, 2008 16th Mediterranean Conference on Control and Automation.

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies

N. Fenton, K. DUBE, S. McLachlan, 2020, 2020 IEEE Global Humanitarian Technology Conference (GHTC).

Improved reliability modeling using Bayesian networks and dynamic discretization

Norman E. Fenton, Martin Neil, David Marquez, 2010, Reliab. Eng. Syst. Saf..

Software Project and Quality Modelling Using Bayesian Networks

Lukasz Radlinski, Martin Neil, Norman Fenton, 2010 .

Real-time Online Probabilistic Medical Computation using Bayesian Networks

Norman Fenton, Kudakwashe Dube, Evangelia Kyrimi, 2020, 2020 IEEE International Conference on Healthcare Informatics (ICHI).

When and where to transfer for Bayesian network parameter learning

Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, 2016, Expert Syst. Appl..

Towards a Method of Building Causal Bayesian Networks for Prognostic Decision Support

Norman Fenton, Barbaros Yet, Zane Perkins, 2011 .

Effects of structure on the comprehensivility of formal specifications

Norman E. Fenton, Alexander M. Fedorec, Kate Finney, 1999, IEE Proc. Softw..

Causal analysis for attributing responsibility in legal cases

Jeroen Keppens, David A. Lagnado, Norman E. Fenton, 2015, ICAIL.

Calculating and understanding the value of any type of match evidence when there are potential testing errors

Norman Fenton, Anne Hsu, Martin Neil, 2014, Artificial Intelligence and Law.

Using Bayesian Networks to Model Expected and Unexpected Operational Losses

Norman Fenton, Martin Neil, Manesh Tailor, 2005, Risk analysis : an official publication of the Society for Risk Analysis.

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences

N. Fenton, M. Neil, W. Marsh, 2016, Artif. Intell. Medicine.

Evaluating the Effectiveness of Z: The Claims Made About CICS and Where We Go From Here

Norman E. Fenton, Kate Finney, N. Fenton, 1996, J. Syst. Softw..

Program Structures: Some New Characterisations

Robin W. Whitty, Norman E. Fenton, N. Fenton, 1991, J. Comput. Syst. Sci..

Metrics and software structure

Norman Fenton, Agnes A. Kaposi, N. Fenton, 1987 .

Evaluating software engineering standards

Shari Lawrence Pfleeger, Norman E. Fenton, Stella Page, 1994, Computer.

MATROID REPRESENTATIONS—AN ALGEBRAIC TREATMENT

N. Fenton, 1984 .

A General Structure for Legal Arguments About Evidence Using Bayesian Networks

David A. Lagnado, Norman E. Fenton, Martin Neil, 2013, Cogn. Sci..

Software Quality Prediction Using Bayesian Networks

Paul Krause, Martin Neil, Norman Fenton, 2003 .

Software Metrics: A Rigorous and Practical Approach, Third Edition

N. Fenton, J. Bieman, 2014 .

Bayesian Networks for Software Process Control

Norman Fenton, Paul Krause, Martin Neil, 2013 .

WITHDRAWN: Improving predictive accuracy using smart-data: The case of football teams’ evolving performance

Anthony Constantinou, Norman Fenton, N. Fenton, 2017 .

The Absence of Data Visualisation in Midwifery

G. Hitman, N. Fenton, Kudakwashe Dube, 2022 .

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks

Anthony Constantinou, Norman Fenton, Martin Neil, 2013, Knowl. Based Syst..

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

N. Fenton, M. Neil, B. Yet, 2018, IEEE Access.