55 citations · 145 across the 19 of their papers we have counts for
5 papers · 1 filter
Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment
Joshua Hunte, Martin Neil, Norman Fenton
Idioms are small, reusable Bayesian network (BN) fragments that represent generic types of uncertain reasoning. This paper shows how idioms can be used to build causal BNs for prod…
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
Scott McLachlan, Martin Neil, Kudakwashe Dube +3
Driving is an intuitive task that requires skills, constant alertness and vigilance for unexpected events. The driving task also requires long concentration spans focusing on the e…
How do some Bayesian Network machine learned graphs compare to causal knowledge?
Anthony C. Constantinou, Norman Fenton, Martin Neil
The graph of a Bayesian Network (BN) can be machine learned, determined by causal knowledge, or a combination of both. In disciplines like bioinformatics, applying BN structure lea…
Medical idioms for clinical Bayesian network development
Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan +3
Bayesian Networks (BNs) are graphical probabilistic models that have proven popular in medical applications. While numerous medical BNs have been published, most are presented fait…
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube +3
No comprehensive review of Bayesian networks (BNs) in healthcare has been published in the past, making it difficult to organize the research contributions in the present and ident…