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Neville Kenneth Kitson
Neville Kenneth Kitson
Ph.D. Research Student, Queen Mary University of London
Verified email at qmul.ac.uk
Title
Cited by
Cited by
Year
A survey of Bayesian Network structure learning
NK Kitson, AC Constantinou, Z Guo, Y Liu, K Chobtham
Artificial Intelligence Review 56 (8), 8721-8814, 2023
852023
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data
AC Constantinou, Y Liu, K Chobtham, Z Guo, NK Kitson
International Journal of Approximate Reasoning 131, 151-188, 2021
582021
Learning Bayesian networks from demographic and health survey data
NK Kitson, AC Constantinou
Journal of Biomedical Informatics 113, 103588, 2021
172021
The Bayesys data and Bayesian network repository
AC Constantinou, Y Liu, K Chobtham, Z Guo, NK Kitson
Queen Mary University of London: London, UK, 2020
172020
Effective and efficient structure learning with pruning and model averaging strategies
AC Constantinou, Y Liu, NK Kitson, K Chobtham, Z Guo
International Journal of Approximate Reasoning 151, 292-321, 2022
152022
The impact of prior knowledge on causal structure learning
AC Constantinou, Z Guo, NK Kitson
Knowledge and Information Systems 65 (8), 3385-3434, 2023
122023
Open problems in causal structure learning: A case study of COVID-19 in the UK
A Constantinou, NK Kitson, Y Liu, K Chobtham, AH Amirkhizi, ...
Expert Systems with Applications 234, 121069, 2023
62023
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions
K Chobtham, AC Constantinou, NK Kitson
Data Mining and Knowledge Discovery 37 (1), 476-520, 2023
42023
The impact of variable ordering on Bayesian Network Structure Learning
NK Kitson, AC Constantinou
arXiv preprint arXiv:2206.08952, 2022
32022
Information fusion between knowledge and data in bayesian network structure learning
AC Constantinou, Z Guo, NK Kitson
arXiv preprint arXiv:2102.00473, 2021
32021
Causal discovery using dynamically requested knowledge
NK Kitson, AC Constantinou
arXiv preprint arXiv:2310.11154, 2023
2023
Open problems in causal structure learning: A case study of COVID-19 in the UK (preprint)
AC Constantinou, NK Kitson, Y Liu, K Chobtham, A Hashemzadeh, ...
2023
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