Sutharshan Rajasegarar

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Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
M. PalaniswamiProfessor of Electrical EngineeringVerified email at unimelb.edu.au
James C. BezdekUniversity of Melbourne, Computer and Information SystemsVerified email at unimelb.edu.au
Shanika KarunasekeraProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Dheeraj KumarAssistant Professor, Indian Institute of technology (IIT) RoorkeeVerified email at iitr.ac.in
Muhammad Ali Imran, FIEEE, FRSE, F...Professor of Communication Systems - University of GlasgowVerified email at glasgow.ac.uk
Alexander GluhakDigital CatapultVerified email at digicatapult.org.uk
John YearwoodDeakin UniversityVerified email at deakin.edu.au
Timothy C. HavensMichigan Technological UniversityVerified email at mtu.edu
Jeffrey ChanSchool of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Jayavardhana GubbiTCS Research, Tata Consultancy ServicesVerified email at tcs.com
Chandan KarmakarSenior Lecturer, School of Information Technology, Deakin UniversityVerified email at deakin.edu.au
Michele NatiInternet of Things, Data and Trust Expert, Blockchain TechnologistVerified email at iota.org
James M KellerProfessor of Electrical and Computer EngineeringVerified email at missouri.edu
Laurence A. F. ParkSchool of Computer, Data and Mathematical Sciences, Western Sydney UniversityVerified email at scem.uws.edu.au
Subhash ChallaSenSen NetworksVerified email at sensennetworks.com
Maia AngelovaProfessor of Data Analytics and Machine Learning Deakin UniversityVerified email at deakin.edu.au
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Ian M AtkinsonJames Cook UniversityVerified email at jcu.edu.au
Stuart KininmonthThe University of the South PacificVerified email at usp.ac.fj

Sutharshan Rajasegarar

School of Information Technology, Deakin University

Verified email at unimelb.edu.au

Anomaly detection Machine learning Artificial Intelligence (AI)Computer vision IoT and Health infomatics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1133	2012
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	1121	2016
Anomaly detection in wireless sensor networks S Rajasegarar, C Leckie, M Palaniswami IEEE Wireless Communications 15 (4), 34-40, 2008	371	2008
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	369	2006
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	293	2015
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	251	2007
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	179	2010
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	160	2010
A Hybrid Approach to Clustering in Big Data D Kumar, JC Bezdek, M Palaniswami, S Rajasegarar, C Leckie, ... IEEE Transactions on Cybernetics, 2015	149*	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	135	2014
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	122	2017
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	118	2014
Clustering ellipses for anomaly detection M Moshtaghi, TC Havens, JC Bezdek, L Park, C Leckie, S Rajasegarar, ... Pattern Recognition 44 (1), 55-69, 2011	107	2011
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	92	2017
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	84	2019
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	84	2010
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	69	2017
A visual-numeric approach to clustering and anomaly detection for trajectory data D Kumar, JC Bezdek, S Rajasegarar, C Leckie, M Palaniswami The Visual Computer 33, 265-281, 2017	65	2017
Anomaly detection by clustering ellipsoids in wireless sensor networks M Moshtaghi, S Rajasegarar, C Leckie, S Karunasekera 2009 international conference on intelligent sensors, sensor networks and …, 2009	65	2009
Real-time urban microclimate analysis using internet of things P Rathore, AS Rao, S Rajasegarar, E Vanz, J Gubbi, M Palaniswami IEEE Internet of Things Journal 5 (2), 500-511, 2017	64	2017

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