| A survey of Bayesian Network structure learning NK Kitson, AC Constantinou, Z Guo, Y Liu, K Chobtham Artificial Intelligence Review, 2023 | 231 | 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 | 74 | 2021 |
| Bayesian network structure learning with causal effects in the presence of latent variables K Chobtham, AC Constantinou The 10th International Conference on Probabilistic Graphical Models 2020 …, 2020 | 26 | 2020 |
| 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, 2021 | 21 | 2021 |
| 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 | 19 | 2020 |
| 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 | 14 | 2023 |
| Hybrid Bayesian network discovery with latent variables by scoring multiple interventions K Chobtham, AC Constantinou, NK Kitson Data Mining and Knowledge Discovery 37, 476–520, 2022 | 5 | 2022 |
| A survey of Bayesian Network structure learning. arXiv 2021 NK Kitson, AC Constantinou, Z Guo, Y Liu, K Chobtham arXiv preprint arXiv:2109.11415, 2021 | 5 | 2021 |
| Tuning structure learning algorithms with out-of-sample and resampling strategies K Chobtham, AC Constantinou Knowledge and Information Systems, 1-29, 2024 | 3 | 2024 |
| Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound K Chobtham, AC Constantinou The 11th International Conference on Probabilistic Graphical Models 2022 …, 2022 | 3 | 2022 |
| Formalization of Link Farm Structure using Graph Grammar K Chobtham, A Surarerks, A Rungsawang 22nd International Conference on Advanced Information Networking and …, 2008 | 2 | 2008 |
| Bayesian network structure learning in the presence of latent variables K Chobtham | | 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 |
Anthony C. ConstantinouSenior Lecturer (Associate Prof) at Queen Mary University of LondonEmail verificata su qmul.ac.uk