OPUS at UTS: Browsing OPUS - Open Publications of UTS Scholars

Browsing byAuthorPang, G

Showing results 6 to 19 of 19< previous

Issue Date	Title	Author(s)
2017-01-01	Embedding-based representation of categorical data by hierarchical value coupling learning	Jian, S; Cao, L; Pang, G; Lu, K; Gao, H
2023-01-01	Graph-Level Anomaly Detection via Hierarchical Memory Networks	Niu, C; Pang, G; Chen, L
2019-02-01	Health service use in the older person with complex health needs.	Bartlett, M; Wang, J; Hay, L; Pang, G
2021-04-01	Homophily outlier detection in non-IID categorical data	Pang, G; Cao, L; Chen, L
2023-11-06	HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks	Li, J; Pang, G; Chen, L; Namazi-Rad, M-R
2017-01-01	Learning homophily couplings from non-IID data for joint feature selection and noise-resilient outlier detection	Pang, G; Cao, L; Chen, L; Liu, H
2018-07-19	Learning representations of ultrahigh-dimensional data for random distance-based outlier detection	Pang, G; Chen, L; Cao, L; Liu, H
2016-01-29	LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours	Pang, G; Ting, KM; Albrecht, D
2016-01-01	Outlier detection in complex categorical data by modelling the feature value couplings	Pang, G; Cao, L; Chen, L
2017-11-06	Selective value coupling learning for detecting outliers in high-dimensional categorical data	Pang, G; Xu, H; Cao, L; Zhao, W
2018-01-01	Sparse modeling-based sequential ensemble learning for effective outlier detection in high-dimensional numeric data	Pang, G; Cao, L; Chen, L; Lian, D; Liu, H
2021-08-14	Toward Deep Supervised Anomaly Detection	Pang, G; van den Hengel, A; Shen, C; Cao, L
2017-01-31	Unsupervised feature selection for outlier detection by modelling hierarchical value-feature couplings	Pang, G; Cao, L; Chen, L; Liu, H
2016-12-01	ZERO++: Harnessing the power of zero appearances to detect anomalies in large-scale data sets	Pang, G; Ting, KM; Albrecht, D; Jin, H

Showing results 6 to 19 of 19< previous