Yun Zhou
Yun Zhou
National University of Defense Technology
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Cited by
Cited by
Bayesian network approach to multinomial parameter learning using data and expert judgments
Y Zhou, N Fenton, M Neil
International Journal of Approximate Reasoning, 2014
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
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
An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence
Y Zhou, P Wang
Computers & Security 82, 261-269, 2019
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
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
When and where to transfer for Bayesian network parameter learning
Y Zhou, TM Hospedales, N Fenton
Expert systems with applications 55, 361-373, 2016
An extended MPL-C model for Bayesian network parameter learning with exterior constraints
Y Zhou, N Fenton, M Neil
European Workshop on Probabilistic Graphical Models, 581-596, 2014
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
Identification of localized frame parameters using higher natural modes
WJ Yi, Y Zhou, S Kunnath, B Xu
Engineering structures 30 (11), 3082-3094, 2008
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
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
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
Incorporating Expert Judgement into Bayesian Network Machine Learning
Y Zhou, N Fenton, M Neil, C Zhu
23rd International Joint Conference on Artificial Intelligence, 3249-3250, 2013
Identifying vital nodes in complex networks by adjacency information entropy
X Xu, C Zhu, Q Wang, X Zhu, Y Zhou
Scientific reports 10 (1), 1-12, 2020
Semi-supervised learning with ensemble self-training for cancer classification
Q Wang, LY Xia, H Chai, Y Zhou
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2018
Spectroscopic super-resolution fluorescence cell imaging using ultra-small Ge quantum dots
M Song, A Karatutlu, I Ali, O Ersoy, Y Zhou, Y Yang, Y Zhang, WR Little, ...
Optics express 25 (4), 4240-4253, 2017
Extending naive bayes classifier with hierarchy feature level information for record linkage
Y Zhou, J Howroyd, S Danicic, JM Bishop
Workshop on Advanced Methodologies for Bayesian Networks, 93-104, 2015
New Techniques for Learning Parameters in Bayesian Networks.
Y Zhou
Queen Mary University of London, 2015
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
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