Общедоступные статьи - Norman FentonПодробнее...
72 статьи доступны в некоторых источниках
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support
AC Constantinou, N Fenton, W Marsh, L Radlinski
Artificial intelligence in medicine 67, 75-93, 2016
Финансирование: European Commission
Bayesian networks in healthcare: Distribution by medical condition
S McLachlan, K Dube, GA Hitman, NE Fenton, E Kyrimi
Artificial intelligence in medicine 107, 101912, 2020
Финансирование: UK Engineering and Physical Sciences Research Council
A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study
B Yet, A Constantinou, N Fenton, M Neil, E Luedeling, K Shepherd
Expert Systems with Applications 60, 141-155, 2016
Финансирование: European Commission
Bayesian network approach to multinomial parameter learning using data and expert judgments
Y Zhou, N Fenton, M Neil
International Journal of Approximate Reasoning 55 (5), 1252-1268, 2014
Финансирование: National Natural Science Foundation of China
Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved
AC Constantinou, N Fenton, M Neil
Expert systems with applications 56, 197-208, 2016
Финансирование: European Commission
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future
E Kyrimi, S McLachlan, K Dube, MR Neves, A Fahmi, N Fenton
Artificial Intelligence in Medicine 117, 102108, 2021
Финансирование: UK Engineering and Physical Sciences Research Council
Profiting from an inefficient Association Football gambling market: Prediction, Risk and Uncertainty using Bayesian networks
AC Constantinou, NE Fenton, M Neil
Knowledge-Based Systems 50, 60-86, 2013
Финансирование: UK Engineering and Physical Sciences Research Council
Bayes and the law
N Fenton, M Neil, D Berger
Annual review of statistics and its application 3 (1), 51-77, 2016
Финансирование: European Commission
Learning from behavioural changes that fail
M Osman, S McLachlan, N Fenton, M Neil, R Löfstedt, B Meder
Trends in Cognitive Sciences 24 (12), 969-980, 2020
Финансирование: UK Engineering and Physical Sciences Research Council, UK Economic and …
Towards smart-data: Improving predictive accuracy in long-term football team performance
A Constantinou, N Fenton
Knowledge-Based Systems 124, 93-104, 2017
Финансирование: European Commission
The Heimdall framework for supporting characterisation of learning health systems.
S McLachlan, HWW Potts, K Dube, D Buchanan, S Lean, T Gallagher, ...
J Innov Health Inform, 2018
Финансирование: UK Engineering and Physical Sciences Research Council
When ‘neutral’evidence still has probative value (with implications from the Barry George Case)
N Fenton, D Berger, D Lagnado, M Neil, A Hsu
Science & Justice 54 (4), 274-287, 2014
Финансирование: UK Engineering and Physical Sciences Research Council
Risk assessment and risk management of violent reoffending among prisoners
AC Constantinou, M Freestone, W Marsh, N Fenton, J Coid
Expert Systems with Applications 42 (21), 7511-7529, 2015
Финансирование: National Institute for Health Research, UK, European Commission
An empirical study of Bayesian network parameter learning with monotonic influence constraints
Y Zhou, N Fenton, C Zhu
Decision Support Systems 87, 69-79, 2016
Финансирование: National Natural Science Foundation of China, European Commission
COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing
NE Fenton, M Neil, M Osman, S McLachlan
Journal of Risk Research 23 (7-8), 862-865, 2020
Финансирование: UK Engineering and Physical Sciences Research Council
Medical idioms for clinical Bayesian network development
E Kyrimi, MR Neves, S McLachlan, M Neil, W Marsh, N Fenton
Journal of biomedical informatics 108, 103495, 2020
Финансирование: UK Engineering and Physical Sciences Research Council
Bayesian networks in healthcare: What is preventing their adoption?
E Kyrimi, K Dube, N Fenton, A Fahmi, MR Neves, W Marsh, S McLachlan
Artificial Intelligence in Medicine 116, 102079, 2021
Финансирование: US Department of Defense, UK Engineering and Physical Sciences Research Council
Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported
M Neil, NE Fenton, M Osman, S McLachlan
COVID-19, 34-47, 2022
Финансирование: UK Engineering and Physical Sciences Research Council
A framework for analysing learning health systems: Are we removing the most impactful barriers?
S McLachlan, K Dube, O Johnson, D Buchanan, HWW Potts, T Gallagher, ...
Learning health systems 3 (4), e10189, 2019
Финансирование: UK Engineering and Physical Sciences Research Council, National Institute …
When and where to transfer for Bayesian network parameter learning
Y Zhou, TM Hospedales, N Fenton
Expert systems with applications 55, 361-373, 2016
Финансирование: National Natural Science Foundation of China, European Commission
Информация о публикациях и финансировании собрана автоматически.