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Dynamic Network Anomaly Detection System by Using Deep Learning Techniques
Conference paper
Peng Lin, Kejiang Ye, Cheng-Zhong Xu. Dynamic Network Anomaly Detection System by Using Deep Learning Techniques[C], 2019, 161-176.
Authors:
Peng Lin
;
Kejiang Ye
;
Cheng-Zhong Xu
Favorite
|
TC[WOS]:
87
TC[Scopus]:
130
|
Submit date:2021/09/18
Network Anomaly Detection
Deep Learning
Attention
Smote
Post-boosting of classification boundary for imbalanced data using geometric mean
Journal article
Du, J., Vong, C. M., Pun, C. M., Wong, P. K., Ip, W. F.. Post-boosting of classification boundary for imbalanced data using geometric mean[J]. Neural Networks (SCI-E), 2017, 101-114.
Authors:
Du, J.
;
Vong, C. M.
;
Pun, C. M.
;
Wong, P. K.
;
Ip, W. F.
Favorite
|
IF:
6.0
/
7.9
|
Submit date:2022/08/09
Imbalance Learning
Boosting
Weighted Elm
Smote
Post-boosting of classification boundary for imbalanced data using geometric mean
Journal article
Du, Jie, Vong, Chi-Man, Pun, Chi-Man, Wong, Pak Kin, Ip, Weng-Fai. Post-boosting of classification boundary for imbalanced data using geometric mean[J]. NEURAL NETWORKS, 2017, 96, 101-114.
Authors:
Du, Jie
;
Vong, Chi-Man
;
Pun, Chi-Man
;
Wong, Pak Kin
;
Ip, Weng-Fai
Favorite
|
TC[WOS]:
16
TC[Scopus]:
20
IF:
6.0
/
7.9
|
Submit date:2018/10/30
Imbalance Learning
Boosting
Weighted Elm
Smote
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification
Journal article
Jinyan Li, Simon Fong, Yunsick Sung, Kyungeun Cho, Raymond Wong, Kelvin K. L. Wong. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification[J]. BioData Mining, 2016, 9(1).
Authors:
Jinyan Li
;
Simon Fong
;
Yunsick Sung
;
Kyungeun Cho
;
Raymond Wong
; et al.
Favorite
|
TC[WOS]:
23
TC[Scopus]:
31
IF:
4.0
/
3.7
|
Submit date:2018/10/30
Imbalanced Dataset
Swarm Optimisation
Under-sampling
Smote
Dynamic Multi-objective
Classification
Biomedical Data
Optimizing SMOTE by Metaheuristics with Neural Network and Decision Tree
Conference paper
Jinyan Li, Simon Fong, Yan Zhuang. Optimizing SMOTE by Metaheuristics with Neural Network and Decision Tree[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2016, 26-32.
Authors:
Jinyan Li
;
Simon Fong
;
Yan Zhuang
Favorite
|
TC[WOS]:
19
TC[Scopus]:
33
|
Submit date:2019/02/13
Smote
Swarm Intelligence
Parameter Selection Optimization