Yun Zhou
Yun Zhou
National University of Defense Technology
Dirección de correo verificada de - Página principal
Citado por
Citado por
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 ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence
Y Zhou, P Wang
Computers & Security 82, 261-269, 2019
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
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
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
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
When and where to transfer for Bayesian network parameter learning
Y Zhou, TM Hospedales, N Fenton
Expert systems with applications 55, 361-373, 2016
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
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
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
Ida-gan: A novel imbalanced data augmentation gan
H Yang, Y Zhou
2020 25th International Conference on Pattern Recognition (ICPR), 8299-8305, 2021
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
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
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
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
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
An extended MPL-C model for Bayesian network parameter learning with exterior constraints
Y Zhou, N Fenton, M Neil
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht …, 2014
FedSPL: federated self-paced learning for privacy-preserving disease diagnosis
Q Wang, Y Zhou
Briefings in Bioinformatics 23 (1), bbab498, 2022
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20