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Sutharshan Rajasegarar
Sutharshan Rajasegarar
Associate Professor, School of Information Technology, Deakin University
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
SM Erfani, S Rajasegarar, S Karunasekera, C Leckie
Pattern Recognition 58, 121-134, 2016
12172016
Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey
A Zoha, A Gluhak, MA Imran, S Rajasegarar
Sensors 12 (12), 16838-16866, 2012
11822012
Anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami
IEEE Wireless Communications 15 (4), 34-40, 2008
3812008
Distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami, JC Bezdek
2006 10th IEEE Singapore international conference on communication systems, 1-5, 2006
3692006
Parking availability prediction for sensor-enabled car parks in smart cities
Y Zheng, S Rajasegarar, C Leckie
2015 IEEE tenth international conference on intelligent sensors, sensor …, 2015
3062015
Quarter sphere based distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami, JC Bezdek
2007 IEEE International Conference on Communications, 3864-3869, 2007
2582007
Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks
S Rajasegarar, C Leckie, JC Bezdek, M Palaniswami
IEEE Transactions on Information Forensics and Security 5 (3), 518-533, 2010
1852010
Labelled data collection for anomaly detection in wireless sensor networks
S Suthaharan, M Alzahrani, S Rajasegarar, C Leckie, M Palaniswami
2010 sixth international conference on intelligent sensors, sensor networks …, 2010
1602010
A Hybrid Approach to Clustering in Big Data
D Kumar, JC Bezdek, M Palaniswami, S Rajasegarar, C Leckie, ...
IEEE Transactions on Cybernetics, 2015
154*2015
Anomaly detection in wireless sensor networks in a non-stationary environment
C O'Reilly, A Gluhak, MA Imran, S Rajasegarar
IEEE Communications Surveys & Tutorials 16 (3), 1413-1432, 2014
1452014
Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering
L Lyu, J Jin, S Rajasegarar, X He, M Palaniswami
IEEE Internet of Things Journal 4 (5), 1174-1184, 2017
1292017
Hyperspherical cluster based distributed anomaly detection in wireless sensor networks
S Rajasegarar, C Leckie, M Palaniswami
Journal of Parallel and Distributed Computing 74 (1), 1833-1847, 2014
1232014
Clustering ellipses for anomaly detection
M Moshtaghi, TC Havens, JC Bezdek, L Park, C Leckie, S Rajasegarar, ...
Pattern Recognition 44 (1), 55-69, 2011
1092011
Improving load forecasting based on deep learning and K-shape clustering
F Fahiman, SM Erfani, S Rajasegarar, M Palaniswami, C Leckie
2017 international joint conference on neural networks (IJCNN), 4134-4141, 2017
982017
Bus travel time prediction with real-time traffic information
J Ma, J Chan, G Ristanoski, S Rajasegarar, C Leckie
Transportation Research Part C: Emerging Technologies 105, 536-549, 2019
962019
Elliptical anomalies in wireless sensor networks
S Rajasegarar, JC Bezdek, C Leckie, M Palaniswami
ACM Transactions on Sensor Networks (TOSN) 6 (1), 1-28, 2010
872010
Ensemble fuzzy clustering using cumulative aggregation on random projections
P Rathore, JC Bezdek, SM Erfani, S Rajasegarar, M Palaniswami
IEEE transactions on fuzzy systems 26 (3), 1510-1524, 2017
742017
A rapid hybrid clustering algorithm for large volumes of high dimensional data
P Rathore, D Kumar, JC Bezdek, S Rajasegarar, M Palaniswami
IEEE Transactions on Knowledge and Data Engineering 31 (4), 641-654, 2018
722018
Efficient unsupervised parameter estimation for one-class support vector machines
Z Ghafoori, SM Erfani, S Rajasegarar, JC Bezdek, S Karunasekera, ...
IEEE transactions on neural networks and learning systems 29 (10), 5057-5070, 2018
702018
A scalable framework for trajectory prediction
P Rathore, D Kumar, S Rajasegarar, M Palaniswami, JC Bezdek
IEEE Transactions on Intelligent Transportation Systems 20 (10), 3860-3874, 2019
692019
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