Papers authored by Sutharshan Rajasegarar
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Maia Angelova 
,
Jeremy Ellman,
Helen Gibson,
Paul Oman,
Sutharshan Rajasegarar ,
Ye Zhu
,
Jeremy Ellman,
Helen Gibson,
Paul Oman,
Sutharshan Rajasegarar ,
Ye Zhu
User Activity Pattern Analysis in Telecare Data
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Yuantian Miao,
Lei Pan,
Sutharshan Rajasegarar ,
Jun Zhang,
Christopher Leckie,
Yang Xiang
,
Jun Zhang,
Christopher Leckie,
Yang Xiang
Distributed Detection of Zero-Day Network Traffic Flows
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Meng Yang,
Lida Rashidi,
Sutharshan Rajasegarar ,
Christopher Leckie
,
Christopher Leckie
Graph Stream Mining Based Anomalous Event Analysis
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P. Rathore,
D. Kumar,
S. Rajasegarar ,
M. Palaniswami,
J. C. Bezdek
,
M. Palaniswami,
J. C. Bezdek
A Scalable Framework for Trajectory Prediction
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2017
Lingjuan Lyu ,
Jiong Jin ,
Sutharshan Rajasegarar ,
Xuanli He,
Marimuthu Palaniswami
,
Jiong Jin ,
Sutharshan Rajasegarar ,
Xuanli He,
Marimuthu Palaniswami
Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering
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Babin Bhandari,
JianChao Lu,
Xi Zheng,
Sutharshan Rajasegarar ,
Chandan Karmakar
,
Chandan Karmakar
Non-invasive sensor based automated smoking activity detection
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Aoi Honda,
Simon James,
Sutharshan Rajasegarar
Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals
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Goce Ristanoski,
Rahul Soni,
Sutharshan Rajasegarar ,
James Bailey,
Christopher Leckie
,
James Bailey,
Christopher Leckie
Clustering Aided Support Vector Machines
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Sarah M. Erfani,
Mahsa Baktashmotlagh,
Sutharshan Rajasegarad,
Sutharshan Rajasegarar ,
Vinh Nguyen,
Christopher Leckie,
James Bailey,
Kotagiri Ramamohanarao
,
Vinh Nguyen,
Christopher Leckie,
James Bailey,
Kotagiri Ramamohanarao
R1STM: One-class Support Tensor Machine with Randomised Kernel
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