| Bayesian network approach to multinomial parameter learning using data and expert judgments Y Zhou, N Fenton, M Neil International Journal of Approximate Reasoning, 2014 | 136 | 2014 |
| An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence Y Zhou, P Wang Computers & Security 82, 261-269, 2019 | 115 | 2019 |
| Interactive temporal recurrent convolution network for traffic prediction in data centers X Cao, Y Zhong, Y Zhou, J Wang, C Zhu, W Zhang IEEE Access 6, 5276-5289, 2017 | 113 | 2017 |
| Identifying vital nodes in complex networks by adjacency information entropy X Xu, C Zhu, Q Wang, X Zhu, Y Zhou Scientific reports 10 (1), 2691, 2020 | 66 | 2020 |
| 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 | 54 | 2016 |
| From partition-based clustering to density-based clustering: Fast find clusters with diverse shapes and densities in spatial databases J Wang, C Zhu, Y Zhou, X Zhu, Y Wang, W Zhang IEEE access 6, 1718-1729, 2017 | 49 | 2017 |
| Recent progress of using knowledge graph for cybersecurity K Liu, F Wang, Z Ding, S Liang, Z Yu, Y Zhou Electronics 11 (15), 2287, 2022 | 48 | 2022 |
| Random forest with self-paced bootstrap learning in lung cancer prognosis Q Wang, Y Zhou, W Ding, Z Zhang, K Muhammad, Z Cao ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020 | 48 | 2020 |
| Ida-gan: A novel imbalanced data augmentation gan H Yang, Y Zhou 2020 25th International Conference on Pattern Recognition (ICPR), 8299-8305, 2021 | 47 | 2021 |
| Vessel spatio-temporal knowledge discovery with AIS trajectories using co-clustering J Wang, C Zhu, Y Zhou, W Zhang The Journal of Navigation 70 (6), 1383-1400, 2017 | 44 | 2017 |
| A new PC-PSO algorithm for Bayesian network structure learning with structure priors B Sun, Y Zhou, J Wang, W Zhang Expert Systems with Applications 184, 115237, 2021 | 40 | 2021 |
| When and where to transfer for Bayesian network parameter learning Y Zhou, TM Hospedales, N Fenton Expert systems with applications 55, 361-373, 2016 | 38 | 2016 |
| Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis Q Wang, Y Zhou, W Zhang, Z Tang, X Chen Expert Systems with Applications 152, 113334, 2020 | 35 | 2020 |
| A review of knowledge graph application scenarios in cyber security K Liu, F Wang, Z Ding, S Liang, Z Yu, Y Zhou arXiv preprint arXiv:2204.04769, 2022 | 27 | 2022 |
| Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Y Zhou, N Fenton, TM Hospedales, M Neil 31st Conference on Uncertainty in Artificial Intelligence, 972-981, 2015 | 25 | 2015 |
| Vulnerability severity prediction with deep neural network K Liu, Y Zhou, Q Wang, X Zhu 2019 5th international conference on big data and information analytics …, 2019 | 23 | 2019 |
| Intelligent prediction of vulnerability severity level based on text mining and XGBboost P Wang, Y Zhou, B Sun, W Zhang 2019 Eleventh International Conference on Advanced Computational …, 2019 | 23 | 2019 |
| Dynamic defense strategy against stealth malware propagation in cyber-physical systems K Xiao, C Zhu, J Xie, Y Zhou, X Zhu, W Zhang IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 1790-1798, 2018 | 22 | 2018 |
| FedSPL: federated self-paced learning for privacy-preserving disease diagnosis Q Wang, Y Zhou Briefings in Bioinformatics 23 (1), bbab498, 2022 | 20 | 2022 |
| Pendulum impact loading tests of precast concrete columns with various column base connections Y Zhou, J Yang, X Luo, HJ Hwang, H Chen, J Sun, W Yi, SM Kang Engineering Structures 252, 113736, 2022 | 18 | 2022 |
Norman FentonQueen Mary University of London and Agena LtdVerified email at qmul.ac.uk