Shanika Karunasekera
Shanika Karunasekera
Professor, School of Computing and Information Systems, University of Melbourne
Verified email at
Cited by
Cited by
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
A survey of coordinated attacks and collaborative intrusion detection
CV Zhou, C Leckie, S Karunasekera
computers & security 29 (1), 124-140, 2010
A distortion measure for blocking artifacts in images based on human visual sensitivity
SA Karunasekera, NG Kingsbury
IEEE Transactions on image processing 4 (6), 713-724, 1995
Personalized tour recommendation based on user interests and points of interest visit durations
KH Lim, J Chan, C Leckie, S Karunasekera
Twenty-fourth international joint conference on artificial intelligence, 2015
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
KH Lim, J Chan, C Leckie, S Karunasekera
Knowledge and Information Systems 54, 375-406, 2018
Tour recommendation and trip planning using location-based social media: A survey
KH Lim, J Chan, S Karunasekera, C Leckie
Knowledge and Information Systems 60, 1247-1275, 2019
Automatic measurement of a qos metric for web service recommendation
N Thio, S Karunasekera
2005 Australian Software Engineering Conference, 202-211, 2005
Graph neural networks with continual learning for fake news detection from social media
Y Han, S Karunasekera, C Leckie
arXiv preprint arXiv:2007.03316, 2020
Decentralized multi-dimensional alert correlation for collaborative intrusion detection
CV Zhou, C Leckie, S Karunasekera
Journal of Network and Computer Applications 32 (5), 1106-1123, 2009
Personalized itinerary recommendation with queuing time awareness
KH Lim, J Chan, S Karunasekera, C Leckie
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
Embracing domain differences in fake news: Cross-domain fake news detection using multi-modal data
A Silva, L Luo, S Karunasekera, C Leckie
Proceedings of the AAAI conference on artificial intelligence 35 (1), 557-565, 2021
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection
A Silva, Y Han, L Luo, S Karunasekera, C Leckie
Information Processing & Management 58 (5), 102618, 2021
A peer-to-peer collaborative intrusion detection system
CV Zhou, S Karunasekera, C Leckie
2005 13th IEEE International Conference on Networks Jointly held with the …, 2005
Evaluation of a decentralized architecture for large scale collaborative intrusion detection
CV Zhou, S Karunasekera, C Leckie
2007 10th IFIP/IEEE International Symposium on Integrated Network Management …, 2007
Smarts: Scalable microscopic adaptive road traffic simulator
K Ramamohanarao, H Xie, L Kulik, S Karunasekera, E Tanin, R Zhang, ...
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-22, 2016
Efficient unsupervised parameter estimation for one-class support vector machines
Z Ghafoori, SM Erfani, S Rajasegarar, JC Bezdek, S Karunasekera, ...
IEEE transactions on neural networks and learning systems 29 (10), 5057-5070, 2018
Enabling massively multi-player online gaming applications on a p2p architecture
S Douglas, E Tanin, A Harwood, S Karunasekera
Proceedings of the IEEE international conference on information and …, 2005
A holistic view on resource management in serverless computing environments: Taxonomy and future directions
A Mampage, S Karunasekera, R Buyya
ACM Computing Surveys (CSUR) 54 (11s), 1-36, 2022
Anomaly detection by clustering ellipsoids in wireless sensor networks
M Moshtaghi, S Rajasegarar, C Leckie, S Karunasekera
2009 international conference on intelligent sensors, sensor networks and …, 2009
Performance and cost-efficient spark job scheduling based on deep reinforcement learning in cloud computing environments
MT Islam, S Karunasekera, R Buyya
IEEE Transactions on Parallel and Distributed Systems 33 (7), 1695-1710, 2021
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