Sutharshan Rajasegarar

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 83

Top Venues

Publications

Meng Yang, Yanghe Feng, Aravinda S. Rao, Sutharshan Rajasegarar, Shucong Tian, Zhengchun Zhou
Evolving graph-based video crowd anomaly detection. Vis. Comput. 40 (1) (2024)
Moe Hdaib, Sutharshan Rajasegarar, Lei Pan
Quantum Autoencoder Frameworks for Network Anomaly Detection. ICONIP (5) (2023)
Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. PAKDD (1) (2023)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition. Inf. Sci. 630 (2023)
Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) (2023)
Xiaoyan Zhang, Zhengchun Zhou, Ying Han, Hua Meng, Meng Yang, Sutharshan Rajasegarar
Deep learning-based real-time 3D human pose estimation. Eng. Appl. Artif. Intell. 119 (2023)
Meng Yang, Shucong Tian, Aravinda S. Rao, Sutharshan Rajasegarar, Marimuthu Palaniswami, Zhengchun Zhou
An efficient deep neural model for detecting crowd anomalies in videos. Appl. Intell. 53 (12) (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS (2022)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
EmoSeC: Emotion recognition from scene context. Neurocomputing 492 (2022)
Venkata Abhishek Kanthuru, Sutharshan Rajasegarar, Punit Rathore, Robin Ram Mohan Doss, Lei Pan, Biplob Ray, Morshed Chowdhury, Chandrasekaran Srimathi, M. A. Saleem Durai
Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis. ADMA (1) (2022)
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Double Attention-Based Lightweight Network for Plant Pest Recognition. ICONIP (6) (2022)
Noorain Zaidi, Priya Kumari, Sutharshan Rajasegarar, Chandan K. Karmakar
Machine Learning Aided Minimal Sensor based Hand Gesture Character Recognition. DSAA (2022)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Deep Continual Learning for Emerging Emotion Recognition. IEEE Trans. Multim. 24 (2022)
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
P2OP - Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection. Comput. Electron. Agric. 202 (2022)
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data. Expert Syst. Appl. 202 (2022)
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Double Attention-based Lightweight Network for Plant Pest Recognition. CoRR (2022)
Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu
EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. ADMA (1) (2022)
Guangjun Li, Preetpal Sharma, Lei Pan, Sutharshan Rajasegarar, Chandan K. Karmakar, Nicholas Charles Patterson
Deep learning algorithms for cyber security applications: A survey. J. Comput. Secur. 29 (5) (2021)
Madhumita A. Takalkar, Selvarajah Thuseethan, Sutharshan Rajasegarar, Zenon Chaczko, Min Xu, John Yearwood
LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions. Knowl. Based Syst. 212 (2021)
Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams. IEEE Trans. Cybern. 51 (12) (2021)
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Daniel Ma, Sutharshan Rajasegarar, Chandan Karmaker
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. CoRR (2021)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Boosting Emotion Recognition in Context using Non-target Subject Information. IJCNN (2021)
Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar
Identification of Stock Market Manipulation with Deep Learning. ADMA (2021)
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. ICMLA (2021)
Morshed U. Chowdhury, Biplob Ray, Sujan Chowdhury, Sutharshan Rajasegarar
A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things. ACM Trans. Internet Things 2 (4) (2021)
Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami
Multiclass Anomaly Detector: the CS++ Support Vector Machine. J. Mach. Learn. Res. 21 (2020)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Complex Emotion Profiling: An Incremental Active Learning Based Approach With Sparse Annotations. IEEE Access 8 (2020)
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, Qiang Lyu, Yongqiang Zheng, John Yearwood
Deep Metric Learning Based Citrus Disease Classification With Sparse Data. IEEE Access 8 (2020)
Iynkaran Natgunanathan, Chandan K. Karmakar, Sutharshan Rajasegarar, Tianrui Zong, Ahsan Habib
Robust Patient Information Embedding and Retrieval Mechanism for ECG Signals. IEEE Access 8 (2020)
Chee Keong Ng, Sutharshan Rajasegarar, Lei Pan, Frank Jiang, Leo Yu Zhang
VoterChoice: A ransomware detection honeypot with multiple voting framework. Concurr. Comput. Pract. Exp. 32 (14) (2020)
Selvarajah Thuseethan, Sivasubramaniam Janarthan, Sutharshan Rajasegarar, Priya Kumari, John Yearwood
Multimodal Deep Learning Framework for Sentiment Analysis from Text-Image Web Data. WI/IAT (2020)
Vatsal Patel, Lei Pan, Sutharshan Rajasegarar
Graph Deep Learning Based Anomaly Detection in Ethereum Blockchain Network. NSS (2020)
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM (2020)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks. IJCNN (2019)
Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie
Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN (2019)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation. ICONIP (3) (2019)
Morshed U. Chowdhury, Robin Doss, Biplob Ray, Sutharshan Rajasegarar, Sujan Chowdhury
IoT Insider Attack - Survey. SGIoT (2019)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN. PAKDD (3) (2019)
Jianchao Lu, Jiaxing Wang, Xi Zheng, Chandan K. Karmakar, Sutharshan Rajasegarar
Detection of Smoking Events from Confounding Activities of Daily Living. ACSW (2019)
Maia Angelova, Sergiy Shelyag, Sutharshan Rajasegarar, Dineshen Chuckravanen, Sujan Rajbhandari, Paul B. Gastin, Alan St Clair Gibson
Investigation of Complexity and Regulatory Role of Physiological Activities During a Pacing Exercise. IEEE Access 7 (2019)
Waqas Ahmad Piracha, Morshed U. Chowdhury, Biplob Ray, Sutharshan Rajasegarar, Robin Doss
Insider Attacks on Zigbee Based IoT Networks by Exploiting AT Commands. ATIS (2019)
Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek
A Scalable Framework for Trajectory Prediction. IEEE Trans. Intell. Transp. Syst. 20 (10) (2019)
Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. IEEE BigData (2018)
Punit Rathore, Aravinda S. Rao, Sutharshan Rajasegarar, Elena Vanz, Jayavardhana Gubbi, Marimuthu Palaniswami
Real-Time Urban Microclimate Analysis Using Internet of Things. IEEE Internet Things J. 5 (2) (2018)
Ahmad Shaker Abdalrada, Jemal H. Abawajy, Morshed U. Chowdhury, Sutharshan Rajasegarar, Tahsien Al-Quraishi, Herbert F. Jelinek
Relationship Between Angiotensin Converting Enzyme Gene and Cardiac Autonomic Neuropathy Among Australian Population. SCDM (2018)
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment. WF-IoT (2018)
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami
Crowd Activity Change Point Detection in Videos via Graph Stream Mining. CVPR Workshops (2018)
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek
A Scalable Framework for Trajectory Prediction. CoRR (2018)
Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie
Cluster-Based Crowd Movement Behavior Detection. DICTA (2018)
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie
Graph Stream Mining Based Anomalous Event Analysis. PRICAI (1) (2018)
Dheeraj Kumar, Huayu Wu, Sutharshan Rajasegarar, Christopher Leckie, Shonali Krishnaswamy, Marimuthu Palaniswami
Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility. IEEE Trans. Intell. Transp. Syst. 19 (11) (2018)
Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
Approximate Cluster Heat Maps of Large High-Dimensional Data. ICPR (2018)
Punit Rathore, James C. Bezdek, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami
Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections. IEEE Trans. Fuzzy Syst. 26 (3) (2018)
Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. CoRR (2018)
Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, James C. Bezdek, Shanika Karunasekera, Christopher Leckie
Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Tahsien Al-Quraishi, Jemal H. Abawajy, Morshed U. Chowdhury, Sutharshan Rajasegarar, Ahmad Shaker Abdalrada
Breast Cancer Recurrence Prediction Using Random Forest Model. SCDM (2018)
Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu
User Activity Pattern Analysis in Telecare Data. IEEE Access 6 (2018)
Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang
Distributed Detection of Zero-Day Network Traffic Flows. AusDM (2017)
Lingjuan Lyu, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, Marimuthu Palaniswami
Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering. IEEE Internet Things J. 4 (5) (2017)
Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie
Improving load forecasting based on deep learning and K-shape clustering. IJCNN (2017)
Babin Bhandari, Jianchao Lu, Xi Zheng, Sutharshan Rajasegarar, Chandan K. Karmakar
Non-invasive sensor based automated smoking activity detection. EMBC (2017)
Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie
Clustering Aided Support Vector Machines. MLDM (2017)
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
Maximum Entropy-Based Auto Drift Correction Using High- and Low-Precision Sensors. ACM Trans. Sens. Networks 13 (3) (2017)
Aoi Honda, Simon James, Sutharshan Rajasegarar
Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals. MDAI (2017)
Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
A visual-numeric approach to clustering and anomaly detection for trajectory data. Vis. Comput. 33 (3) (2017)
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
R1STM: One-class Support Tensor Machine with Randomised Kernel. SDM (2016)
Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. ACM Trans. Knowl. Discov. Data 11 (2) (2016)
Meng Yang, Sutharshan Rajasegarar, Aravinda S. Rao, Christopher Leckie, Marimuthu Palaniswami
Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features. Intelligent Information Processing (2016)
Junying Chen, Sutharshan Rajasegarar, Christopher Leckie, André F. Gygax
Pedestrian behaviour analysis using the microsoft kinect. PerCom Workshops (2016)
Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. ECML/PKDD (2) (2016)
Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A. Leckie
Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. IJCNN (2016)
Dheeraj Kumar, James C. Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig Havens
A Hybrid Approach to Clustering in Big Data. IEEE Trans. Cybern. 46 (10) (2016)
Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie
Unsupervised Parameter Estimation for One-Class Support Vector Machines. PAKDD (2) (2016)
Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recognit. 58 (2016)
Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
Geospatial Estimation-Based Auto Drift Correction in Wireless Sensor Networks. ACM Trans. Sens. Networks 11 (3) (2015)
Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie
Parking availability prediction for sensor-enabled car parks in smart cities. ISSNIP (2015)
Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie
An Embedding Scheme for Detecting Anomalous Block Structured Graphs. PAKDD (2) (2015)
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
Pattern based anomalous user detection in cognitive radio networks. ICASSP (2015)
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. AAAI (2015)
Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. CIKM (2015)
Alistair Shilton, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment. RIoT (2015)
Sutharshan Rajasegarar, Timothy C. Havens, Shanika Karunasekera, Christopher Leckie, James C. Bezdek, Milan Jamriska, Ajith Gunatilaka, Alex Skvortsov, Marimuthu Palaniswami
High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors. IEEE Trans. Geosci. Remote. Sens. 52 (7) (2014)
Aravinda S. Rao, Jayavardhana Gubbi, Sutharshan Rajasegarar, Slaven Marusic, Marimuthu Palaniswami
Detection of Anomalous Crowd Behaviour Using Hyperspherical Clustering. DICTA (2014)
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
Hyperspherical cluster based distributed anomaly detection in wireless sensor networks. J. Parallel Distributed Comput. 74 (1) (2014)
Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Michele Nati, Alexander Gluhak, Muhammad Ali Imran, Marimuthu Palaniswami
Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring. ISSNIP (2014)
Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar
An adaptive elliptical anomaly detection model for wireless sensor networks. Comput. Networks 64 (2014)
Colin O'Reilly, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar
Anomaly Detection in Wireless Sensor Networks in a Non-Stationary Environment. IEEE Commun. Surv. Tutorials 16 (3) (2014)
Sutharshan Rajasegarar, Alexander Gluhak, Muhammad Ali Imran, Michele Nati, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami
Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks. Pattern Recognit. 47 (9) (2014)
Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
Smart car parking: Temporal clustering and anomaly detection in urban car parking. ISSNIP (2014)
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks. ICC (2014)
Sutharshan Rajasegarar, Peng Zhang, Yang Zhou, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami
High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks. ISSNIP (2014)
Masud Moshtaghi, James C. Bezdek, Timothy C. Havens, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar, Marimuthu Palaniswami
Streaming analysis in wireless sensor networks. Wirel. Commun. Mob. Comput. 14 (9) (2014)
Andrea Pirisi, Francesco Grimaccia, Marco Mussetta, Riccardo Enrico Zich, Ron Johnstone, Marimuthu Palaniswami, Sutharshan Rajasegarar
Optimization of an energy harvesting buoy for coral reef monitoring. IEEE Congress on Evolutionary Computation (2013)
Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Timothy C. Havens
clusiVAT: A mixed visual/numerical clustering algorithm for big data. IEEE BigData (2013)
Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
Automatic Sensor Drift Detection and Correction Using Spatial Kriging and Kalman Filtering. DCOSS (2013)
Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami
Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks. ISSNIP (2013)
Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar
Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey. Sensors 12 (12) (2012)
Sutharshan Rajasegarar, James C. Bezdek, Masud Moshtaghi, Christopher Leckie, Timothy C. Havens, Marimuthu Palaniswami
Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids. IJCNN (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sutharshan Rajasegarar