Sutharshan Rajasegarar

140 papers A* 3A 3B 15C 3Misc 4Journal 67Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing.
CoRR
Raymond P. H. Wu, Chathurika Ranaweera, Sutharshan Rajasegarar, Ria Rushin Joseph, Jinho Choi, Seng W. Loke
2026 J jnl
Fractal Ball Movement Complexity: Spatiotemporal Analysis for Team Performance Evaluation in Association Football.
SN Comput. Sci.
Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eunjin Kim, Dat Le, Maia Angelova
2026 J jnl
In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis.
CoRR
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel, Lei Pan, Ruby D
2026 J jnl
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks.
CoRR
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
2026 J jnl
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection.
CoRR
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
2025 J jnl
Background-Masked Lightweight Approach for Pear Leaf Disease Recognition.
IEEE Access
Romiyal George, Selvarajah Thuseethan, Roshan G. Ragel, Sutharshan Rajasegarar, Mamoun Alazab, Hamish A. Campbell, John Yearwood
2025 J jnl
Family-based plant disease characterization using deep neural networks.
Multim. Tools Appl.
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2025 — conf
Fractal Analysis of Ball Movement Maps for Team Performance Evaluation in Association Football.
ISACE
Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eunjin Kim, Maia Angelova
2025 — conf
Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting Under Uncertainty.
KSEM (2)
Dat Le, Sutharshan Rajasegarar, Wei Luo, Thanh Thi Nguyen, Maia Angelova
2025 — conf
Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection.
PAKDD (4)
Zhi Liu, Jyotheesh Gaddam, Shuo Huang, Ishara Bandara, Ming Liu, Sutharshan Rajasegarar, Muneeb Ul Hassan, Luxing Yang, Gang Li, Maia Angelova
2025 J jnl
Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection.
CoRR
Swati Kumari, Shiva Raj Pokhrel, Swathi Chandrasekhar, Navneet Singh, Hridoy Sankar Dutta, Adnan Anwar, Sutharshan Rajasegarar, Robin Doss
2025 — conf
Semantic Information Extraction with Language Models for Zero-Day Attack Detection.
KSEM (5)
Shyamali Sinali Karunarathne, Sutharshan Rajasegarar, Lei Pan
2025 J jnl
Time-Series Analysis of Ball Carrier Open-Space (BCOS) in Association Football.
SN Comput. Sci.
Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eunjin Kim, Maia Angelova
2025 J jnl
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey.
CoRR
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
2024 J jnl
A sequential multi-agent reinforcement learning framework for different action spaces.
Expert Syst. Appl.
Shucong Tian, Meng Yang, Rongling Xiong, Xingxing He, Sutharshan Rajasegarar
2024 — conf
ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection.
ICPR (25)
Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2024 J jnl
Double-layer data-hiding mechanism for ECG signals.
EURASIP J. Adv. Signal Process.
Iynkaran Natgunanathan, Chandan K. Karmakar, Sutharshan Rajasegarar, Tianrui Zong
2024 J jnl
Evolving graph-based video crowd anomaly detection.
Vis. Comput.
Meng Yang, Yanghe Feng, Aravinda S. Rao, Sutharshan Rajasegarar, Shucong Tian, Zhengchun Zhou
2024 — conf
Gold Price Forecasting in Uncertain Times: Integrating Sentiment Analysis and External Indices.
ISCMI
Dat Le, Sutharshan Rajasegarar, Wei Luo, Thanh Thi Nguyen, Maia Angelova
2024 J jnl
Kernel-based iVAT with adaptive cluster extraction.
Knowl. Inf. Syst.
Baojie Zhang, Ye Zhu, Yang Cao, Sutharshan Rajasegarar, Gang Li, Gang Liu
2024 J jnl
LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection.
IEEE Access
Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2024 J jnl
Quantum deep learning-based anomaly detection for enhanced network security.
Quantum Mach. Intell.
Moe Hdaib, Sutharshan Rajasegarar, Lei Pan
2024 J jnl
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework.
CoRR
Shiva Raj Pokhrel, Luxing Yang, Sutharshan Rajasegarar, Gang Li
2024 — conf
Time-Series Analysis of Ball Carrier Open-Space in Association Football.
ISACE
Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Daniel B. Dwyer, Eun-Jin Kim, Maia Angelova
2024 J jnl
Winning With Chaos in Association Football: Spatiotemporal Event Distribution Randomness Metric for Team Performance Evaluation.
IEEE Access
Ishara Bandara, Sergiy Shelyag, Sutharshan Rajasegarar, Dan Dwyer, Eun-Jin Kim, Maia Angelova
2023 — conf
An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering.
PAKDD (1)
Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li
2023 J jnl
An efficient deep neural model for detecting crowd anomalies in videos.
Appl. Intell.
Meng Yang, Shucong Tian, Aravinda S. Rao, Sutharshan Rajasegarar, Marimuthu Palaniswami, Zhengchun Zhou
2023 J jnl
Deep learning-based real-time 3D human pose estimation.
Eng. Appl. Artif. Intell.
Xiaoyan Zhang, Zhengchun Zhou, Ying Han, Hua Meng, Meng Yang, Sutharshan Rajasegarar
2023 J jnl
Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition.
Inf. Sci.
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2023 — conf
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs.
ADMA (3)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
2023 A conf
It's PageRank All The Way Down: Simplifying Deep Graph Networks.
SDM
Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
2023 — conf
Quantum Autoencoder Frameworks for Network Anomaly Detection.
ICONIP (5)
Moe Hdaib, Sutharshan Rajasegarar, Lei Pan
2022 — conf
Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis.
ADMA (1)
Venkata Abhishek Kanthuru, Sutharshan Rajasegarar, Punit Rathore, Robin Ram Mohan Doss, Lei Pan, Biplob Ray, Morshed Chowdhury, Chandrasekaran Srimathi, M. A. Saleem Durai
2022 J jnl
Deep Continual Learning for Emerging Emotion Recognition.
IEEE Trans. Multim.
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2022 — conf
Double Attention-Based Lightweight Network for Plant Pest Recognition.
ICONIP (6)
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2022 J jnl
Double Attention-based Lightweight Network for Plant Pest Recognition.
CoRR
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2022 J jnl
EmoSeC: Emotion recognition from scene context.
Neurocomputing
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2022 — conf
EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain.
ADMA (1)
Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu
2022 B conf
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection.
NSS
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
2022 B conf
Machine Learning Aided Minimal Sensor based Hand Gesture Character Recognition.
DSAA
Noorain Zaidi, Priya Kumari, Sutharshan Rajasegarar, Chandan K. Karmakar
2022 J jnl
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data.
Expert Syst. Appl.
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
2022 J jnl
P2OP - Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection.
Comput. Electron. Agric.
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2021 J jnl
A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things.
ACM Trans. Internet Things
Morshed U. Chowdhury, Biplob Ray, Sujan Chowdhury, Sutharshan Rajasegarar
2021 B conf
Boosting Emotion Recognition in Context using Non-target Subject Information.
IJCNN
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2021 J jnl
Deep learning algorithms for cyber security applications: A survey.
J. Comput. Secur.
Guangjun Li, Preetpal Sharma, Lei Pan, Sutharshan Rajasegarar, Chandan K. Karmakar, Nicholas Charles Patterson
2021 C conf
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.
ICMLA
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker
2021 J jnl
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks.
CoRR
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Daniel Ma, Sutharshan Rajasegarar, Chandan Karmaker
2021 C conf
Identification of Stock Market Manipulation with Deep Learning.
ADMA
Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar
2021 J jnl
LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions.
Knowl. Based Syst.
Madhumita A. Takalkar, Selvarajah Thuseethan, Sutharshan Rajasegarar, Zenon Chaczko, Min Xu, John Yearwood
2021 J jnl
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams.
IEEE Trans. Cybern.
Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami
2020 J jnl
Complex Emotion Profiling: An Incremental Active Learning Based Approach With Sparse Annotations.
IEEE Access
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2020 J jnl
Deep Metric Learning Based Citrus Disease Classification With Sparse Data.
IEEE Access
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, Qiang Lyu, Yongqiang Zheng, John Yearwood
2020 B conf
Graph Deep Learning Based Anomaly Detection in Ethereum Blockchain Network.
NSS
Vatsal Patel, Lei Pan, Sutharshan Rajasegarar
2020 A* conf
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction.
ICDM
Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie
2020 J jnl
Multiclass Anomaly Detector: the CS++ Support Vector Machine.
J. Mach. Learn. Res.
Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami
2020 — conf
Multimodal Deep Learning Framework for Sentiment Analysis from Text-Image Web Data.
WI/IAT
Selvarajah Thuseethan, Sivasubramaniam Janarthan, Sutharshan Rajasegarar, Priya Kumari, John Yearwood
2020 J jnl
Robust Patient Information Embedding and Retrieval Mechanism for ECG Signals.
IEEE Access
Iynkaran Natgunanathan, Chandan K. Karmakar, Sutharshan Rajasegarar, Tianrui Zong, Ahsan Habib
2020 J jnl
VoterChoice: A ransomware detection honeypot with multiple voting framework.
Concurr. Comput. Pract. Exp.
Chee Keong Ng, Sutharshan Rajasegarar, Lei Pan, Frank Jiang, Leo Yu Zhang
2019 J jnl
A Rapid Hybrid Clustering Algorithm for Large Volumes of High Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Punit Rathore, Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami
2019 J jnl
A Scalable Framework for Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst.
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek
2019 — conf
Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation.
ICONIP (3)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2019 B conf
Deep Learning and One-class SVM based Anomalous Crowd Detection.
IJCNN
Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie
2019 — conf
Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN.
PAKDD (3)
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2019 — conf
Detection of Smoking Events from Confounding Activities of Daily Living.
ACSW
Jianchao Lu, Jiaxing Wang, Xi Zheng, Chandan K. Karmakar, Sutharshan Rajasegarar
2019 B conf
Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks.
IJCNN
Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood
2019 — conf
Insider Attacks on Zigbee Based IoT Networks by Exploiting AT Commands.
ATIS
Waqas Ahmad Piracha, Morshed U. Chowdhury, Biplob Ray, Sutharshan Rajasegarar, Robin Doss
2019 J jnl
Investigation of Complexity and Regulatory Role of Physiological Activities During a Pacing Exercise.
IEEE Access
Maia Angelova, Sergiy Shelyag, Sutharshan Rajasegarar, Dineshen Chuckravanen, Sujan Rajbhandari, Paul B. Gastin, Alan St Clair Gibson
2019 — conf
IoT Insider Attack - Survey.
SGIoT
Morshed U. Chowdhury, Robin Doss, Biplob Ray, Sutharshan Rajasegarar, Sujan Chowdhury
2018 J jnl
A Scalable Framework for Trajectory Prediction.
CoRR
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek
2018 B conf
Approximate Cluster Heat Maps of Large High-Dimensional Data.
ICPR
Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
2018 — conf
Bayesian maximum entropy and interacting multiple model based automatic sensor drift detection and correction in an IoT environment.
WF-IoT
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
2018 — conf
Breast Cancer Recurrence Prediction Using Random Forest Model.
SCDM
Tahsien Al-Quraishi, Jemal H. Abawajy, Morshed U. Chowdhury, Sutharshan Rajasegarar, Ahmad Shaker Abdalrada
2018 Misc conf
Cluster-Based Crowd Movement Behavior Detection.
DICTA
Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie
2018 — conf
Crowd Activity Change Point Detection in Videos via Graph Stream Mining.
CVPR Workshops
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami
2018 J jnl
Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines.
IEEE Trans. Neural Networks Learn. Syst.
Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, James C. Bezdek, Shanika Karunasekera, Christopher Leckie
2018 J jnl
Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections.
IEEE Trans. Fuzzy Syst.
Punit Rathore, James C. Bezdek, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami
2018 J jnl
Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility.
IEEE Trans. Intell. Transp. Syst.
Dheeraj Kumar, Huayu Wu, Sutharshan Rajasegarar, Christopher Leckie, Shonali Krishnaswamy, Marimuthu Palaniswami
2018 — conf
Graph Stream Mining Based Anomalous Event Analysis.
PRICAI (1)
Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie
2018 J jnl
Real-Time Urban Microclimate Analysis Using Internet of Things.
IEEE Internet Things J.
Punit Rathore, Aravinda S. Rao, Sutharshan Rajasegarar, Elena Vanz, Jayavardhana Gubbi, Marimuthu Palaniswami
2018 — conf
Relationship Between Angiotensin Converting Enzyme Gene and Cardiac Autonomic Neuropathy Among Australian Population.
SCDM
Ahmad Shaker Abdalrada, Jemal H. Abawajy, Morshed U. Chowdhury, Sutharshan Rajasegarar, Tahsien Al-Quraishi, Herbert F. Jelinek
2018 — conf
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data.
IEEE BigData
Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie
2018 J jnl
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data.
CoRR
Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie
2018 J jnl
User Activity Pattern Analysis in Telecare Data.
IEEE Access
Maia Angelova, Jeremy Ellman, Helen Gibson, Paul Oman, Sutharshan Rajasegarar, Ye Zhu
2017 J jnl
A visual-numeric approach to clustering and anomaly detection for trajectory data.
Vis. Comput.
Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2017 — conf
Clustering Aided Support Vector Machines.
MLDM
Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie
2017 Misc conf
Distributed Detection of Zero-Day Network Traffic Flows.
AusDM
Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang
2017 J jnl
Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering.
IEEE Internet Things J.
Lingjuan Lyu, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, Marimuthu Palaniswami
2017 B conf
Improving load forecasting based on deep learning and K-shape clustering.
IJCNN
Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie
2017 J jnl
Maximum Entropy-Based Auto Drift Correction Using High- and Low-Precision Sensors.
ACM Trans. Sens. Networks
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
2017 — conf
Non-invasive sensor based automated smoking activity detection.
EMBC
Babin Bhandari, Jianchao Lu, Xi Zheng, Sutharshan Rajasegarar, Chandan K. Karmakar
2017 B conf
Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals.
MDAI
Aoi Honda, Simon James, Sutharshan Rajasegarar
2016 J jnl
A Hybrid Approach to Clustering in Big Data.
IEEE Trans. Cybern.
Dheeraj Kumar, James C. Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig Havens
2016 J jnl
Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data.
ACM Trans. Knowl. Discov. Data
Dheeraj Kumar, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie, Jeffrey Chan, Jayavardhana Gubbi
2016 — conf
Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features.
IIP
Meng Yang, Sutharshan Rajasegarar, Aravinda S. Rao, Christopher Leckie, Marimuthu Palaniswami
2016 B conf
Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM.
IJCNN
Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A. Leckie
2016 J jnl
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning.
Pattern Recognit.
Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
2016 — conf
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
ECML/PKDD (2)
Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Christopher Leckie, Wei Liu, Sutharshan Rajasegarar, Kotagiri Ramamohanarao
2016 — conf
Pedestrian behaviour analysis using the microsoft kinect.
PerCom Workshops
Junying Chen, Sutharshan Rajasegarar, Christopher Leckie, André F. Gygax
2016 A conf
R1STM: One-class Support Tensor Machine with Randomised Kernel.
SDM
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao
2016 — conf
Unsupervised Parameter Estimation for One-Class Support Vector Machines.
PAKDD (2)
Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie
2015 — conf
An Embedding Scheme for Detecting Anomalous Block Structured Graphs.
PAKDD (2)
Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie
2015 — conf
DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment.
RIoT
Alistair Shilton, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2015 J jnl
Geospatial Estimation-Based Auto Drift Correction in Wireless Sensor Networks.
ACM Trans. Sens. Networks
Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
2015 — conf
Parking availability prediction for sensor-enabled car parks in smart cities.
ISSNIP
Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie
2015 Misc conf
Pattern based anomalous user detection in cognitive radio networks.
ICASSP
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2015 A conf
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment.
CIKM
Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie
2015 A* conf
R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection.
AAAI
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie
2014 J jnl
An adaptive elliptical anomaly detection model for wireless sensor networks.
Comput. Networks
Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar
2014 J jnl
Anomaly Detection in Wireless Sensor Networks in a Non-Stationary Environment.
IEEE Commun. Surv. Tutorials
Colin O'Reilly, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar
2014 Misc conf
Detection of Anomalous Crowd Behaviour Using Hyperspherical Clustering.
DICTA
Aravinda S. Rao, Jayavardhana Gubbi, Sutharshan Rajasegarar, Slaven Marusic, Marimuthu Palaniswami
2014 J jnl
Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks.
Pattern Recognit.
Sutharshan Rajasegarar, Alexander Gluhak, Muhammad Ali Imran, Michele Nati, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami
2014 — conf
High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks.
ISSNIP
Sutharshan Rajasegarar, Peng Zhang, Yang Zhou, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami
2014 J jnl
High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors.
IEEE Trans. Geosci. Remote. Sens.
Sutharshan Rajasegarar, Timothy C. Havens, Shanika Karunasekera, Christopher Leckie, James C. Bezdek, Milan Jamriska, Ajith Gunatilaka, Alex Skvortsov, Marimuthu Palaniswami
2014 J jnl
Hyperspherical cluster based distributed anomaly detection in wireless sensor networks.
J. Parallel Distributed Comput.
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2014 — conf
Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring.
ISSNIP
Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Michele Nati, Alexander Gluhak, Muhammad Ali Imran, Marimuthu Palaniswami
2014 — conf
Smart car parking: Temporal clustering and anomaly detection in urban car parking.
ISSNIP
Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2014 — conf
Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks.
ICC
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2014 J jnl
Streaming analysis in wireless sensor networks.
Wirel. Commun. Mob. Comput.
Masud Moshtaghi, James C. Bezdek, Timothy C. Havens, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar, Marimuthu Palaniswami
2013 B conf
Automatic Sensor Drift Detection and Correction Using Spatial Kriging and Kalman Filtering.
DCOSS
Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami
2013 — conf
Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks.
ISSNIP
Alistair Shilton, Sutharshan Rajasegarar, Marimuthu Palaniswami
2013 B conf
Optimization of an energy harvesting buoy for coral reef monitoring.
IEEE Congress on Evolutionary Computation
Andrea Pirisi, Francesco Grimaccia, Marco Mussetta, Riccardo Enrico Zich, Ron Johnstone, Marimuthu Palaniswami, Sutharshan Rajasegarar
2013 — conf
clusiVAT: A mixed visual/numerical clustering algorithm for big data.
IEEE BigData
Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Timothy C. Havens
2012 — conf
Acoustic and device feature fusion for load recognition.
IEEE Conf. of Intelligent Systems
Ahmed Zoha, Alexander Gluhak, Michele Nati, Muhammad Ali Imran, Sutharshan Rajasegarar
2012 B conf
Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids.
IJCNN
Sutharshan Rajasegarar, James C. Bezdek, Masud Moshtaghi, Christopher Leckie, Timothy C. Havens, Marimuthu Palaniswami
2012 J jnl
Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey.
Sensors
Ahmed Zoha, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar
2012 B conf
Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks.
SECON
Colin O'Reilly, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar
2011 — conf
An efficient approach to detecting concept-evolution in network data streams.
ATNAC
Sarah M. Erfani, Sutharshan Rajasegarar, Christopher Leckie
2011 J jnl
An efficient hyperellipsoidal clustering algorithm for resource-constrained environments.
Pattern Recognit.
Masud Moshtaghi, Sutharshan Rajasegarar, Christopher Leckie, Shanika Karunasekera
2011 J jnl
Anomaly Detection in Environmental Monitoring Networks [Application Notes].
IEEE Comput. Intell. Mag.
James C. Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami, Timothy C. Havens
2011 J jnl
Clustering ellipses for anomaly detection.
Pattern Recognit.
Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence Anthony F. Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, Marimuthu Palaniswami
2011 A* conf
Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks.
ICDM
Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami
2011 J jnl
Spatio-temporal modelling-based drift-aware wireless sensor networks.
IET Wirel. Sens. Syst.
Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami
2010 J jnl
Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks.
IEEE Trans. Inf. Forensics Secur.
Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Marimuthu Palaniswami
2010 B conf
Sensor data boundary estimation for anomaly detection in wireless sensor networks.
MASS
Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar
2009 — —
Anomaly detection in wireless sensor networks.
Sutharshan Rajasegarar
2009 J jnl
Elliptical anomalies in wireless sensor networks.
ACM Trans. Sens. Networks
Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami
2008 J jnl
Anomaly detection in wireless sensor networks.
IEEE Wirel. Commun.
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2008 — conf
CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection.
ICC
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami
2008 C conf
Online drift correction in wireless sensor networks using spatio-temporal modeling.
FUSION
Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami
2007 — conf
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks.
ICC
Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, James C. Bezdek