Sutharshan Rajasegarar 个人学术档案

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	总计	2019 年至今
引用	7373	4659
h 指数	38	29
i10 指数	88	75

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Christopher LeckieProfessor, Computing and Information Systems, The University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
M. PalaniswamiProfessor of Electrical Engineering在 unimelb.edu.au 的电子邮件经过验证
James C. BezdekUniversity of Melbourne, Computer and Information Systems在 unimelb.edu.au 的电子邮件经过验证
Shanika KarunasekeraProfessor, School of Computing and Information Systems, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Dheeraj KumarAssistant Professor, Indian Institute of technology (IIT) Roorkee在 iitr.ac.in 的电子邮件经过验证
Muhammad Ali Imran, FIEEE, FRSE, F...Professor of Communication Systems - University of Glasgow在 glasgow.ac.uk 的电子邮件经过验证
Alexander GluhakDigital Catapult在 digicatapult.org.uk 的电子邮件经过验证
John YearwoodDeakin University在 deakin.edu.au 的电子邮件经过验证
Timothy C. HavensMichigan Technological University在 mtu.edu 的电子邮件经过验证
Jeffrey ChanSchool of Computing Technologies, RMIT University在 rmit.edu.au 的电子邮件经过验证
Jayavardhana GubbiTCS Research, Tata Consultancy Services在 tcs.com 的电子邮件经过验证
Michele NatiWSENSE SRL在 wsense.it 的电子邮件经过验证
James M KellerProfessor of Electrical and Computer Engineering在 missouri.edu 的电子邮件经过验证
Laurence A. F. ParkSchool of Computer, Data and Mathematical Sciences, Western Sydney University在 scem.uws.edu.au 的电子邮件经过验证
Subhash ChallaSenSen Networks在 sensennetworks.com 的电子邮件经过验证
Maia AngelovaProfessor of AI in Health Aston University在 deakin.edu.au 的电子邮件经过验证
James BaileyProfessor, School of Computing and Information Systems, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Ian M AtkinsonJames Cook University在 jcu.edu.au 的电子邮件经过验证
Stuart KininmonthThe University of Queensland在 uq.edu.au 的电子邮件经过验证
Ron JohnstoneSchool of Earth and Environmental Sciences, University of Queensland在 uq.edu.au 的电子邮件经过验证

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Sutharshan Rajasegarar

Associate Professor, School of Information Technology, Deakin University

在 unimelb.edu.au 的电子邮件经过验证

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1236	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	1184	2012
Anomaly detection in wireless sensor networks S Rajasegarar, C Leckie, M Palaniswami IEEE Wireless Communications 15 (4), 34-40, 2008	383	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	302	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	256	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	186	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	162	2010
A Hybrid Approach to Clustering in Big Data D Kumar, JC Bezdek, M Palaniswami, S Rajasegarar, C Leckie, ... IEEE Transactions on Cybernetics, 2015	155*	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	142	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	128	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	102	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	97	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
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	74	2017
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	73	2019
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	71	2018
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	71	2017

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