| A survey of Bayesian Network structure learning NK Kitson, AC Constantinou, Z Guo, Y Liu, K Chobtham Artificial Intelligence Review, 1-94, 2023 | 53 | 2023 |
| 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 | 52 | 2021 |
| Learning Bayesian network parameters via minimax algorithm X Gao, Z Guo, H Ren, Y Yang, D Chen, C He International Journal of Approximate Reasoning 108, 62-75, 2019 | 35 | 2019 |
| Learning Bayesian networks using the constrained maximum a posteriori probability method Y Yang, X Gao, Z Guo, D Chen Pattern Recognition 91, 123-134, 2019 | 31 | 2019 |
| Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method Z Guo, X Gao, H Ren, Y Yang, R Di, D Chen International Journal of Approximate Reasoning 91, 22-35, 2017 | 29 | 2017 |
| 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 | 16 | 2020 |
| Learning Bayesian networks by constrained Bayesian estimation G Xiaoguang, Y Yu, G Zhigao Journal of Systems Engineering and Electronics 30 (3), 511-524, 2019 | 15 | 2019 |
| Discrete Bayesian network parameter learning based on monotonic constraint RH Di, XG Gao, ZG Guo Syst. Eng. Electron. 36, 272-277, 2014 | 14* | 2014 |
| A threat assessment method for unmanned aerial vehicle based on bayesian networks under the condition of small data sets R Di, X Gao, Z Guo, K Wan Mathematical Problems in Engineering 2018, 2018 | 13 | 2018 |
| The impact of prior knowledge on causal structure learning AC Constantinou, Z Guo, NK Kitson Knowledge and Information Systems, 1-50, 2023 | 12* | 2023 |
| Learning Bayesian network parameters under dual constraints from small data set Z GUO, X GAO, R DI Acta Automatica Sinica 40 (7), 1509-1516, 2014 | 12* | 2014 |
| 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 | 11 | 2022 |
| Approximate learning of high dimensional Bayesian network structures via pruning of candidate parent sets Z Guo, AC Constantinou Entropy 22 (10), 1142, 2020 | 9 | 2020 |
| Learning Bayesian network parameters under new monotonie constraints R Di, X Gao, Z Guo Journal of Systems Engineering and Electronics 28 (6), 1248-1255, 2017 | 9 | 2017 |
| Learning BN parameters with small data sets based by data reutilization Y Yu, GAO Xiaoguang, GUO Zhigao Acta Automatica Sinica 41 (12), 2058-2071, 2015 | 9* | 2015 |
| Bayesian networks structure learning based on improved BIC scoring HR Di, G Gao, ZG Guo Systems Engineering and Electronics 39 (2), 437-444, 2017 | 8* | 2017 |
| UCAV Targets Assignment Method Based on Uncertain Information X CHEN, Z GUO Journal of System Simulation 24 (8), 1651-1654, 2012 | 7* | 2012 |
| Improving Bayesian network structure learning in the presence of measurement error Y Liu, AC Constantinou, Z Guo The Journal of Machine Learning Research 23 (1), 14604-14631, 2022 | 6 | 2022 |
| Bearing fault diagnosis under small data set condition: A Bayesian network method with transfer learning for parameter estimation Y Hou, A Yang, W Guo, E Zheng, Q Xiao, Z Guo, Z Huang IEEE Access 10, 35768-35783, 2022 | 5 | 2022 |
| Finding optimal Bayesian networks by a layered learning method Y Yu, GAO Xiaoguang, GUO Zhigao Journal of Systems Engineering and Electronics 30 (5), 946-958, 2019 | 5 | 2019 |
Anthony C. ConstantinouSenior Lecturer (Associate Prof) at Queen Mary University of LondonVerified email at qmul.ac.uk
