| 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 | 164 | 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 | 70 | 2021 |
| SWSR: A Chinese dataset and lexicon for online sexism detection A Jiang, X Yang, Y Liu, A Zubiaga Online Social Networks and Media 27, 100182, 2022 | 63 | 2022 |
| 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 | 18 | 2022 |
| 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 | 18 | 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 | 12 | 2023 |
| Greedy structure learning from data that contain systematic missing values Y Liu, AC Constantinou Machine Learning 111 (10), 3867-3896, 2022 | 10 | 2022 |
| Improving Bayesian network structure learning in the presence of measurement error Y Liu, AC Constantinou, Z Guo Journal of Machine Learning Research 23 (324), 1-28, 2022 | 7 | 2022 |
| Improving the imputation of missing data with Markov Blanket discovery Y Liu, A Constantinou The eleventh international conference on learning representations, 2022 | 6 | 2022 |
