Sutharshan Rajasegarar

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Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneDirección de correo verificada de unimelb.edu.au
M. PalaniswamiProfessor of Electrical EngineeringDirección de correo verificada de unimelb.edu.au
James C. BezdekUniversity of Melbourne, Computer and Information SystemsDirección de correo verificada de unimelb.edu.au
Shanika KarunasekeraProfessor, School of Computing and Information Systems, University of MelbourneDirección de correo verificada de unimelb.edu.au
Dheeraj KumarAssistant Professor, Indian Institute of technology (IIT) RoorkeeDirección de correo verificada de iitr.ac.in
Muhammad Ali Imran, FIEEE, FRSE, F...Professor of Communication Systems - University of GlasgowDirección de correo verificada de glasgow.ac.uk
Alexander GluhakDigital CatapultDirección de correo verificada de digicatapult.org.uk
John YearwoodDeakin UniversityDirección de correo verificada de deakin.edu.au
Timothy C. HavensMichigan Technological UniversityDirección de correo verificada de mtu.edu
Jeffrey ChanSchool of Computing Technologies, RMIT UniversityDirección de correo verificada de rmit.edu.au
Jayavardhana GubbiTCS Research, Tata Consultancy ServicesDirección de correo verificada de tcs.com
Michele NatiWSENSE SRLDirección de correo verificada de wsense.it
James M KellerProfessor of Electrical and Computer EngineeringDirección de correo verificada de missouri.edu
Laurence A. F. ParkSchool of Computer, Data and Mathematical Sciences, Western Sydney UniversityDirección de correo verificada de scem.uws.edu.au
Maia AngelovaProfessor of AI in Health Aston UniversityDirección de correo verificada de aston.ac.uk
Subhash ChallaSenSen NetworksDirección de correo verificada de sensennetworks.com
James BaileyProfessor, School of Computing and Information Systems, University of MelbourneDirección de correo verificada de unimelb.edu.au
Ian M AtkinsonJames Cook UniversityDirección de correo verificada de jcu.edu.au
Stuart KininmonthThe University of QueenslandDirección de correo verificada de uq.edu.au
Ron JohnstoneSchool of Earth and Environmental Sciences, University of QueenslandDirección de correo verificada de uq.edu.au

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Sutharshan Rajasegarar

Associate Professor, School of Information Technology, Deakin University

Dirección de correo verificada de unimelb.edu.au

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


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1286	2016
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	1199	2012
Anomaly detection in wireless sensor networks S Rajasegarar, C Leckie, M Palaniswami IEEE Wireless Communications 15 (4), 34-40, 2008	391	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	375	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	311	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	261	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	188	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	165	2010
A Hybrid Approach to Clustering in Big Data D Kumar, JC Bezdek, M Palaniswami, S Rajasegarar, C Leckie, ... IEEE Transactions on Cybernetics, 2015	158*	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	147	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	130	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	126	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	109	2011
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	107	2019
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	100	2017
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	88	2010
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	75	2019
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	75	2017
Deep Metric Learning Based Citrus Disease Classification With Sparse Data S JANARTHAN, S THUSEETHAN, S RAJASEGARAR, Q LYU, Y ZHENG, ... IEEE Access 8, 162588-162600, 2020	74	2020
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	74	2018

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