Sutharshan Rajasegarar

According to our database, Sutharshan Rajasegarar authored at least 113 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evolving graph-based video crowd anomaly detection.

Meng Yang, Yanghe Feng, Aravinda S. Rao, Sutharshan Rajasegarar, Shucong Tian, Zhengchun Zhou

Vis. Comput., January, 2024

2023

Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Inf. Sci., June, 2023

An efficient deep neural model for detecting crowd anomalies in videos.

Meng Yang, Shucong Tian, Aravinda S. Rao, Sutharshan Rajasegarar, Marimuthu Palaniswami, Zhengchun Zhou

Appl. Intell., June, 2023

Deep learning-based real-time 3D human pose estimation.

Xiaoyan Zhang, Zhengchun Zhou, Ying Han, Hua Meng, Meng Yang, Sutharshan Rajasegarar

Eng. Appl. Artif. Intell., March, 2023

It's PageRank All The Way Down: Simplifying Deep Graph Networks.

Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering.

Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Quantum Autoencoder Frameworks for Network Anomaly Detection.

Moe Hdaib, Sutharshan Rajasegarar, Lei Pan

Proceedings of the Neural Information Processing - 30th International Conference, 2023

EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs.

Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Deep Continual Learning for Emerging Emotion Recognition.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

IEEE Trans. Multim., 2022

EmoSeC: Emotion recognition from scene context.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Neurocomputing, 2022

Multi-attention graph neural networks for city-wide bus travel time estimation using limited data.

Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie

Expert Syst. Appl., 2022

P2OP - Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection.

Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Comput. Electron. Agric., 2022

Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection.

Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan

Proceedings of the Network and System Security - 16th International Conference, 2022

Double Attention-Based Lightweight Network for Plant Pest Recognition.

Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Machine Learning Aided Minimal Sensor based Hand Gesture Character Recognition.

Noorain Zaidi, Priya Kumari, Sutharshan Rajasegarar, Chandan K. Karmakar

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain.

Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis.

Venkata Abhishek Kanthuru, Sutharshan Rajasegarar, Punit Rathore, Robin Ram Mohan Doss, Lei Pan, Biplob Ray, Morshed Chowdhury, Chandrasekaran Srimathi, M. A. Saleem Durai

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021

A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things.

Morshed U. Chowdhury, Biplob Ray, Sujan Chowdhury, Sutharshan Rajasegarar

ACM Trans. Internet Things, 2021

Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams.

Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami

IEEE Trans. Cybern., 2021

LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions.

Madhumita A. Takalkar, Selvarajah Thuseethan, Sutharshan Rajasegarar, Zenon Chaczko, Min Xu, John Yearwood

Knowl. Based Syst., 2021

Deep learning algorithms for cyber security applications: A survey.

Guangjun Li, Preetpal Sharma, Lei Pan, Sutharshan Rajasegarar, Chandan K. Karmakar, Nicholas Charles Patterson

J. Comput. Secur., 2021

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.

Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Daniel Ma, Sutharshan Rajasegarar, Chandan Karmaker

CoRR, 2021

Boosting Emotion Recognition in Context using Non-target Subject Information.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Proceedings of the International Joint Conference on Neural Networks, 2021

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.

Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Identification of Stock Market Manipulation with Deep Learning.

Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020

Gathering Intelligence on Student Information Behavior Using Data Mining.

Lei Pan, Nicholas Charles Patterson, Sophie McKenzie, Surtharshan Rajasegarar, Guy Wood-Bradley, Justin T. Rough, Wei Luo, Elicia Lanham, Jo Coldwell-Neilson

Libr. Trends, 2020

Multiclass Anomaly Detector: the CS++ Support Vector Machine.

Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami

J. Mach. Learn. Res., 2020

VoterChoice: A ransomware detection honeypot with multiple voting framework.

Chee Keong Ng, Sutharshan Rajasegarar, Lei Pan, Frank Jiang, Leo Yu Zhang

Concurr. Comput. Pract. Exp., 2020

Complex Emotion Profiling: An Incremental Active Learning Based Approach With Sparse Annotations.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

IEEE Access, 2020

Robust Patient Information Embedding and Retrieval Mechanism for ECG Signals.

Iynkaran Natgunanathan, Chandan K. Karmakar, Sutharshan Rajasegarar, Tianrui Zong, Ahsan Habib

IEEE Access, 2020

Deep Metric Learning Based Citrus Disease Classification With Sparse Data.

Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, Qiang Lyu, Yongqiang Zheng, John Yearwood

IEEE Access, 2020

Multimodal Deep Learning Framework for Sentiment Analysis from Text-Image Web Data.

Selvarajah Thuseethan, Sivasubramaniam Janarthan, Sutharshan Rajasegarar, Priya Kumari, John Yearwood

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Graph Deep Learning Based Anomaly Detection in Ethereum Blockchain Network.

Vatsal Patel, Lei Pan, Sutharshan Rajasegarar

Proceedings of the Network and System Security - 14th International Conference, 2020

Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction.

Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data.

Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami

IEEE Trans. Knowl. Data Eng., 2019

A Scalable Framework for Trajectory Prediction.

Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek

IEEE Trans. Intell. Transp. Syst., 2019

Investigation of Complexity and Regulatory Role of Physiological Activities During a Pacing Exercise.

Maia Angelova, Sergiy Shelyag, Sutharshan Rajasegarar, Dineshen Chuckravanen, Sujan Rajbhandari, Paul B. Gastin, Alan St Clair Gibson

IEEE Access, 2019

IoT Insider Attack - Survey.

Morshed U. Chowdhury, Robin Doss, Biplob Ray, Sutharshan Rajasegarar, Sujan Chowdhury

Proceedings of the Smart Grid and Internet of Things - Third EAI International Conference, 2019

Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Deep Learning and One-class SVM based Anomalous Crowd Detection.

Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie

Proceedings of the International Joint Conference on Neural Networks, 2019

Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation.

Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Insider Attacks on Zigbee Based IoT Networks by Exploiting AT Commands.

Waqas Ahmad Piracha, Morshed U. Chowdhury, Biplob Ray, Sutharshan Rajasegarar, Robin Doss

Proceedings of the Applications and Techniques in Information Security, 2019

Detection of Smoking Events from Confounding Activities of Daily Living.

Jianchao Lu, Jiaxing Wang, Xi Zheng, Chandan K. Karmakar, Sutharshan Rajasegarar

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines.

Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, James C. Bezdek, Shanika Karunasekera, Christopher Leckie

IEEE Trans. Neural Networks Learn. Syst., 2018

Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility.

Dheeraj Kumar, Huayu Wu, Sutharshan Rajasegarar, Christopher Leckie, Shonali Krishnaswamy, Marimuthu Palaniswami

IEEE Trans. Intell. Transp. Syst., 2018

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections.

Punit Rathore, James C. Bezdek, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami

IEEE Trans. Fuzzy Syst., 2018

Real-Time Urban Microclimate Analysis Using Internet of Things.

Punit Rathore, Aravinda S. Rao, Sutharshan Rajasegarar, Elena Vanz, Jayavardhana Gubbi, Marimuthu Palaniswami

IEEE Internet Things J., 2018

User Activity Pattern Analysis in Telecare Data.

Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu

IEEE Access, 2018

Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment.

Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Breast Cancer Recurrence Prediction Using Random Forest Model.

Tahsien Al-Quraishi, Jemal H. Abawajy, Morshed U. Chowdhury, Sutharshan Rajasegarar, Ahmad Shaker Abdalrada

Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018

Relationship Between Angiotensin Converting Enzyme Gene and Cardiac Autonomic Neuropathy Among Australian Population.

Ahmad Shaker Abdalrada, Jemal H. Abawajy, Morshed U. Chowdhury, Sutharshan Rajasegarar, Tahsien Al-Quraishi, Herbert F. Jelinek

Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018

Graph Stream Mining Based Anomalous Event Analysis.

Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Approximate Cluster Heat Maps of Large High-Dimensional Data.

Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Cluster-Based Crowd Movement Behavior Detection.

Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Crowd Activity Change Point Detection in Videos via Graph Stream Mining.

Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data.

Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A visual-numeric approach to clustering and anomaly detection for trajectory data.

Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Vis. Comput., 2017

Maximum Entropy-Based Auto Drift Correction Using High- and Low-Precision Sensors.

Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

ACM Trans. Sens. Networks, 2017

Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering.

Lingjuan Lyu, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, Marimuthu Palaniswami

IEEE Internet Things J., 2017

Clustering Aided Support Vector Machines.

Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals.

Aoi Honda, Simon James, Sutharshan Rajasegarar

Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

Improving load forecasting based on deep learning and K-shape clustering.

Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Non-invasive sensor based automated smoking activity detection.

Babin Bhandari, Jianchao Lu, Xi Zheng, Sutharshan Rajasegarar, Chandan K. Karmakar

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Distributed Detection of Zero-Day Network Traffic Flows.

Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang

Proceedings of the Data Mining, 2017

2016

Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data.

Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi

ACM Trans. Knowl. Discov. Data, 2016

A Hybrid Approach to Clustering in Big Data.

Dheeraj Kumar, James C. Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig Havens

IEEE Trans. Cybern., 2016

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning.

Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie

Pattern Recognit., 2016

R1STM: One-class Support Tensor Machine with Randomised Kernel.

Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.

Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Pedestrian behaviour analysis using the microsoft kinect.

Junying Chen, Sutharshan Rajasegarar, Christopher Leckie, André F. Gygax

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Unsupervised Parameter Estimation for One-Class Support Vector Machines.

Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM.

Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A. Leckie

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features.

Meng Yang, Sutharshan Rajasegarar, Aravinda S. Rao, Christopher Leckie, Marimuthu Palaniswami

Proceedings of the Intelligent Information Processing VIII, 2016

2015

Geospatial Estimation-Based Auto Drift Correction in Wireless Sensor Networks.

Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

ACM Trans. Sens. Networks, 2015

DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment.

Alistair Shilton, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Proceedings of the International Conference on Recent Advances in Internet of Things, 2015

An Embedding Scheme for Detecting Anomalous Block Structured Graphs.

Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Parking availability prediction for sensor-enabled car parks in smart cities.

Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

Pattern based anomalous user detection in cognitive radio networks.

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment.

Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection.

Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Streaming analysis in wireless sensor networks.

Masud Moshtaghi, James C. Bezdek, Timothy C. Havens, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar, Marimuthu Palaniswami

Wirel. Commun. Mob. Comput., 2014

High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors.

Sutharshan Rajasegarar, Timothy C. Havens, Shanika Karunasekera, Christopher Leckie, James C. Bezdek, Milan Jamriska, Ajith Gunatilaka, Alex Skvortsov, Marimuthu Palaniswami

IEEE Trans. Geosci. Remote. Sens., 2014

Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks.

Sutharshan Rajasegarar, Alexander Gluhak, Muhammad Ali Imran, Michele Nati, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami

Pattern Recognit., 2014

Hyperspherical cluster based distributed anomaly detection in wireless sensor networks.

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

J. Parallel Distributed Comput., 2014

Anomaly Detection in Wireless Sensor Networks in a Non-Stationary Environment.

Colin O'Reilly, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar

IEEE Commun. Surv. Tutorials, 2014

An adaptive elliptical anomaly detection model for wireless sensor networks.

Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar

Comput. Networks, 2014

Smart car parking: Temporal clustering and anomaly detection in urban car parking.

Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring.

Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Michele Nati, Alexander Gluhak, Muhammad Ali Imran, Marimuthu Palaniswami

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks.

Sutharshan Rajasegarar, Peng Zhang, Yang Zhou, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks.

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Proceedings of the IEEE International Conference on Communications, 2014

Detection of Anomalous Crowd Behaviour Using Hyperspherical Clustering.

Aravinda S. Rao, Jayavardhana Gubbi, Sutharshan Rajasegarar, Slaven Marusic, Marimuthu Palaniswami

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

2013

Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks.

Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami

Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Automatic Sensor Drift Detection and Correction Using Spatial Kriging and Kalman Filtering.

Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami

Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2013

Optimization of an energy harvesting buoy for coral reef monitoring.

Andrea Pirisi, Francesco Grimaccia, Marco Mussetta, Riccardo Enrico Zich, Ron Johnstone, Marimuthu Palaniswami, Sutharshan Rajasegarar

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

clusiVAT: A mixed visual/numerical clustering algorithm for big data.

Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Timothy C. Havens

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey.

Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar

Sensors, 2012

Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks.

Colin O'Reilly, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar

Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012

Acoustic and device feature fusion for load recognition.

Ahmed Zoha, Alexander Gluhak, Michele Nati, Muhammad Ali Imran, Sutharshan Rajasegarar

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids.

Sutharshan Rajasegarar, James C. Bezdek, Masud Moshtaghi, Christopher Leckie, Timothy C. Havens, Marimuthu Palaniswami

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

An efficient hyperellipsoidal clustering algorithm for resource-constrained environments.

Masud Moshtaghi, Sutharshan Rajasegarar, Christopher Leckie, Shanika Karunasekera

Pattern Recognit., 2011

Clustering ellipses for anomaly detection.

Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence Anthony F. Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, Marimuthu Palaniswami

Pattern Recognit., 2011

Spatio-temporal modelling-based drift-aware wireless sensor networks.

Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami

IET Wirel. Sens. Syst., 2011

Anomaly Detection in Environmental Monitoring Networks [Application Notes].

James C. Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami, Timothy C. Havens

IEEE Comput. Intell. Mag., 2011

An efficient approach to detecting concept-evolution in network data streams.

Sarah M. Erfani, Sutharshan Rajasegarar, Christopher Leckie

Proceedings of the Australasian Telecommunication Networks and Applications Conference, 2011

Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks.

Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks.

Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Marimuthu Palaniswami

IEEE Trans. Inf. Forensics Secur., 2010

Sensor data boundary estimation for anomaly detection in wireless sensor networks.

Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar

Proceedings of the IEEE 7th International Conference on Mobile Adhoc and Sensor Systems, 2010

2009

Elliptical anomalies in wireless sensor networks.

Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami

ACM Trans. Sens. Networks, 2009

2008

Anomaly detection in wireless sensor networks.

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

IEEE Wirel. Commun., 2008

CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection.

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Proceedings of IEEE International Conference on Communications, 2008

Online drift correction in wireless sensor networks using spatio-temporal modeling.

Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks.

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, James C. Bezdek

Proceedings of IEEE International Conference on Communications, 2007