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Sutharshan Rajasegarar
Publications
- 2023
- [c65]Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan:
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) 2023: 323-337 - [c62]Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie:
It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM 2023: 172-180 - 2022
- [j42]Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie:
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data. Expert Syst. Appl. 202: 117057 (2022) - [c57]Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan:
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS 2022: 105-119 - 2020
- [c53]Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie:
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM 2020: 1160-1165 - 2016
- [j16]Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi:
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. ACM Trans. Knowl. Discov. Data 11(2): 24:1-24:40 (2016) - [c26]Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao:
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) 2016: 162-178
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