
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
Driving is an intuitive task that requires skills, constant alertness an...
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Calculating the Likelihood Ratio for Multiple Pieces of Evidence
When presenting forensic evidence, such as a DNA match, experts often us...
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How do some Bayesian Network machine learned graphs compare to causal knowledge?
The graph of a Bayesian Network (BN) can be machine learned, determined ...
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Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process
Modelling that exploits visual elements and information visualisation ar...
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Product risk assessment: a Bayesian network approach
Product risk assessment is the overall process of determining whether a ...
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On the limitations of probabilistic claims about the probative value of mixed DNA profile evidence
The likelihood ratio (LR) is a commonly used measure for determining the...
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The role of collider bias in understanding statistics on racially biased policing
Contradictory conclusions have been made about whether unarmed blacks ar...
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Medical idioms for clinical Bayesian network development
Bayesian Networks (BNs) are graphical probabilistic models that have pro...
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A note on 'Collider bias undermines our understanding of COVID19 disease risk and severity' and how causal Bayesian networks both expose and resolve the problem
An important recent preprint by Griffiths et al highlights how 'collider...
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A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
No comprehensive review of Bayesian networks (BNs) in healthcare has bee...
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Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden
Several countries are currently investigating issues of neglect, poor qu...
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Simpson's Paradox and the implications for medical trials
This paper describes Simpson's paradox, and explains its serious implica...
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Modelling Competing Legal Arguments using Bayesian Model Comparison and Averaging
Bayesian models of legal arguments generally aim to produce a single int...
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Region Based Approximation for High Dimensional Bayesian Network Models
Performing efficient inference on Bayesian Networks (BNs), with large nu...
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Norman Fenton
is this you? claim profile
Professor of Risk and Information Management at Queen Mary University of London, Director at AgenaRisk, CEO at Agenarisk from 19972015, Professor of Computing at Centre for Software Reliability, City University from 19892000, Professor at City University from 19892000, Hedge and Butler Wine Merchants (19741975), University College Dublin (Mathematics Department) as PostDoctoral Research Fellow 1981, Post Doctoral Research Fellow at Oxford University (Mathematics Institute), and also member of Wolfson College 19821984, South Bank University (Dept Electrical & Electronic Eng) first as Senior Lecturer and then Reader 1984, Director of the Centre for Software & Systems Engineering