Sutharshan Rajasegarar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
26
Active years
2008–2025
Best venue rank
A*
Where they publish
- BIJCNN6 papers
- BPAKDD5 papers
- CADMA4 papers
- BICONIP3 papers
- CKSEM2 papers
- BICPR2 papers
- ASDM2 papers
- BNSS2 papers
- A*ICDM2 papers
- AustralasianDICTA2 papers
- BDSAA1 paper
- CICMLA1 paper
- A*CVPR1 paper
- BPRICAI1 paper
- AustralasianAusDM1 paper
- BMDAI1 paper
- A*PERCOM1 paper
- A*AAAI1 paper
- ACIKM1 paper
- MulticonferenceICASSP1 paper
- BCEC1 paper
- BDCOSS1 paper
- BSECON1 paper
- AustralasianITNAC1 paper
- BMASS1 paper
- CFUSION1 paper
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | KSEM | Semantic Information Extraction with Language Models for Zero-Day Attack Detection. | Shyamali Sinali Karunarathne, Sutharshan Rajasegarar, Lei Pan |
| 2025 | KSEM | Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting Under Uncertainty. | Dat Le, Sutharshan Rajasegarar, Wei Luo, Thanh Thi Nguyen, Maia Angelova |
| 2025 | PAKDD | Large Language Model and Variational Autoencoder Based Deep Neural Framework for Cyber Attack Detection. | Zhi Liu, Jyotheesh Gaddam, Shuo Huang, Ishara Bandara, Ming Liu, Sutharshan Rajasegarar, Muneeb Ul Hassan, Luxing Yang, Gang Li, Maia Angelova |
| 2024 | ICPR | ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection. | Siqi Xia, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan |
| 2023 | ADMA | EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. | Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan |
| 2023 | ICONIP | Quantum Autoencoder Frameworks for Network Anomaly Detection. | Moe Hdaib, Sutharshan Rajasegarar, Lei Pan |
| 2023 | PAKDD | 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 |
| 2023 | SDM | It's PageRank All The Way Down: Simplifying Deep Graph Networks. | Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie |
| 2022 | ADMA | 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 |
| 2022 | ADMA | EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. | Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu |
| 2022 | DSAA | Machine Learning Aided Minimal Sensor based Hand Gesture Character Recognition. | Noorain Zaidi, Priya Kumari, Sutharshan Rajasegarar, Chandan K. Karmakar |
| 2022 | ICONIP | Double Attention-Based Lightweight Network for Plant Pest Recognition. | Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood |
| 2022 | NSS | Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. | Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan |
| 2021 | ADMA | Identification of Stock Market Manipulation with Deep Learning. | Jillian Tallboys, Ye Zhu, Sutharshan Rajasegarar |
| 2021 | ICMLA | 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 |
| 2021 | IJCNN | Boosting Emotion Recognition in Context using Non-target Subject Information. | Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood |
| 2020 | ICDM | Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. | Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie |
| 2020 | NSS | Graph Deep Learning Based Anomaly Detection in Ethereum Blockchain Network. | Vatsal Patel, Lei Pan, Sutharshan Rajasegarar |
| 2019 | ICONIP | Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation. | Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood |
| 2019 | IJCNN | Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks. | Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood |
| 2019 | IJCNN | Deep Learning and One-class SVM based Anomalous Crowd Detection. | Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie |
| 2019 | PAKDD | Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN. | Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood |
| 2018 | CVPR | Crowd Activity Change Point Detection in Videos via Graph Stream Mining. | Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S. Rao, Marimuthu Palaniswami |
| 2018 | DICTA | Cluster-Based Crowd Movement Behavior Detection. | Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie |
| 2018 | ICPR | Approximate Cluster Heat Maps of Large High-Dimensional Data. | Punit Rathore, James C. Bezdek, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami |
| 2018 | PRICAI | Graph Stream Mining Based Anomalous Event Analysis. | Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie |
| 2017 | AusDM | Distributed Detection of Zero-Day Network Traffic Flows. | Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang |
| 2017 | IJCNN | Improving load forecasting based on deep learning and K-shape clustering. | Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie |
| 2017 | MDAI | Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals. | Aoi Honda, Simon James, Sutharshan Rajasegarar |
| 2016 | IJCNN | Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. | Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A. Leckie |
| 2016 | PAKDD | Unsupervised Parameter Estimation for One-Class Support Vector Machines. | Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie |
| 2016 | PERCOM | Pedestrian behaviour analysis using the microsoft kinect. | Junying Chen, Sutharshan Rajasegarar, Christopher Leckie, Andr F. Gygax |
| 2016 | SDM | R1STM: One-class Support Tensor Machine with Randomised Kernel. | Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao |
| 2015 | AAAI | R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. | Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie |
| 2015 | CIKM | Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. | Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie |
| 2015 | ICASSP | Pattern based anomalous user detection in cognitive radio networks. | Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami |
| 2015 | PAKDD | An Embedding Scheme for Detecting Anomalous Block Structured Graphs. | Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie |
| 2014 | DICTA | Detection of Anomalous Crowd Behaviour Using Hyperspherical Clustering. | Aravinda S. Rao, Jayavardhana Gubbi, Sutharshan Rajasegarar, Slaven Marusic, Marimuthu Palaniswami |
| 2013 | CEC | 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 |
| 2013 | DCOSS | Automatic Sensor Drift Detection and Correction Using Spatial Kriging and Kalman Filtering. | Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami |
| 2012 | IJCNN | 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 |
| 2012 | SECON | Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks. | Colin O'Reilly, Alexander Gluhak, Muhammad Ali Imran, Sutharshan Rajasegarar |
| 2011 | ICDM | Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. | Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami |
| 2011 | ITNAC | An efficient approach to detecting concept-evolution in network data streams. | Sarah M. Erfani, Sutharshan Rajasegarar, Christopher Leckie |
| 2010 | MASS | Sensor data boundary estimation for anomaly detection in wireless sensor networks. | Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar |
| 2008 | FUSION | Online drift correction in wireless sensor networks using spatio-temporal modeling. | Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami |