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ORCIDChristopher Leckie
Christopher A. Leckie – Chris Leckie
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2024
[j87]Siqi Xia
, Sutharshan Rajasegarar, Lei Pan, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan:
LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection. IEEE Access 12: 121971-121982 (2024)- [j86]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals. IEEE Trans. Knowl. Data Eng. 36(11): 7283-7295 (2024) - [c205]Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning. AAMAS 2024: 2543-2545 - [c204]Ziren Xiao, Christopher Leckie, Maria A. Rodriguez:
Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications. CCGrid 2024: 266-272 - [c203]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. ECAI 2024: 2540-2547 - [c202]Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
DeCoRTAD: Diffusion Based Conditional Representation Learning for Online Trajectory Anomaly Detection. ECAI 2024: 2757-2764 - [c201]Isura Manchanayaka, Zainab Zaidi, Shanika Karunasekera, Christopher Leckie:
Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining. IJCNN 2024: 1-9 - [c200]Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-Term Fairness in Ride-Hailing Platform. ECML/PKDD (9) 2024: 223-239 - [c199]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. SaTML 2024: 358-386 - [i46]Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences. CoRR abs/2402.04567 (2024) - [i45]Zainab Zaidi, Tansu Alpcan, Christopher Leckie, Sarah Efrain:
An Interpretable Low-complexity Model for Wireless Channel Estimation. CoRR abs/2402.07385 (2024) - [i44]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. CoRR abs/2402.11237 (2024) - [i43]Canaan Yung, Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Round Trip Translation Defence against Large Language Model Jailbreaking Attacks. CoRR abs/2402.13517 (2024) - [i42]Isura Manchanayaka, Zainab Razia Zaidi, Shanika Karunasekera, Christopher Leckie:
Using Causality to Infer Coordinated Attacks in Social Media. CoRR abs/2407.11690 (2024) - [i41]Isura Manchanayaka, Zainab Zaidi, Shanika Karunasekera, Christopher Leckie:
Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining. CoRR abs/2407.11697 (2024) - [i40]Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie:
Long-term Fairness in Ride-Hailing Platform. CoRR abs/2407.17839 (2024) - [i39]Ching-Chun Chang, Kai Gao, Shuying Xu, Anastasia Kordoni, Christopher Leckie, Isao Echizen:
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery. CoRR abs/2410.05284 (2024) - 2023
- [j85]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Adversarial Coreset Selection for Efficient Robust Training. Int. J. Comput. Vis. 131(12): 3307-3331 (2023) - [j84]Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman:
Towards quantum enhanced adversarial robustness in machine learning. Nat. Mac. Intell. 5(6): 581-589 (2023) - [j83]Vincenzo Bassi, Luis F. Ochoa, Tansu Alpcan, Christopher Leckie:
Electrical Model-Free Voltage Calculations Using Neural Networks and Smart Meter Data. IEEE Trans. Smart Grid 14(4): 3271-3282 (2023) - [c198]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI 2023: 4676-4684 - [c197]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: 323-337 - [c196]Zixin Ye, Tansu Alpcan, Christopher Leckie:
A Group Formation Game for Local Anomaly Detection. CDC 2023: 2086-2091 - [c195]Vincent Barbosa Vaz, James Bailey, Christopher Leckie, Peter J. Stuckey:
Predict-Then-Optimise Strategies for Water Flow Control (Short Paper). CP 2023: 42:1-42:10 - [c194]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie:
Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders. ICC 2023: 6343-6348 - [c193]Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Online Trajectory Anomaly Detection Based on Intention Orientation. IJCNN 2023: 1-8 - [c192]Rahul Sharma, Chien Aun Chan, Christopher Leckie:
Probabilistic Distributed Intrusion Detection For Zero-Trust Multi-Access Edge Computing. NOMS 2023: 1-9 - [c191]Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie:
It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM 2023: 172-180 - [i38]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. CoRR abs/2303.08500 (2023) - [i37]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks. CoRR abs/2303.13015 (2023) - [i36]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Unsupervised Domain-agnostic Fake News Detection using Multi-modal Weak Signals. CoRR abs/2305.11349 (2023) - [i35]Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman:
Towards quantum enhanced adversarial robustness in machine learning. CoRR abs/2306.12688 (2023) - [i34]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR abs/2311.06835 (2023) - 2022
- [j82]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie:
Generative Adversarial Networks for anomaly detection on decentralised data. Annu. Rev. Control. 53: 329-337 (2022) - [j81]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: 117057 (2022) - [j80]Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, James C. Bezdek, Lars Kulik, Christopher Leckie:
Shape-Sphere: A metric space for analysing time series by their shape. Inf. Sci. 582: 198-214 (2022) - [j79]Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Decision Trees via Dynamic Programming and Search. J. Mach. Learn. Res. 23: 26:1-26:47 (2022) - [j78]Xuyun Zhang, Lianyong Qi, Wanchun Dou, Qiang He, Christopher Leckie, Ramamohanarao Kotagiri, Zoran Salcic:
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation. IEEE Trans. Big Data 8(1): 125-139 (2022) - [j77]Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, Christopher Leckie, Lars Kulik:
An Online Unsupervised Dynamic Window Method to Track Repeating Patterns From Sensor Data. IEEE Trans. Cybern. 52(6): 5148-5160 (2022) - [c190]Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. AAAI 2022: 3749-3757 - [c189]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. AAAI 2022: 8315-8323 - [c188]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
COLLIDER: A Robust Training Framework for Backdoor Data. ACCV (6) 2022: 681-698 - [c187]Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC 2022: 6118-6125 - [c186]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
ℓ ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. ECCV (11) 2022: 467-483 - [c185]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Wireless Network Simulation to Create Machine Learning Benchmark Data. GLOBECOM 2022: 6378-6383 - [c184]Rahul Sharma, Chien Aun Chan, Christopher Leckie:
Hybrid Collaborative Architectures For Intrusion Detection In Multi-Access Edge Computing. NOMS 2022: 1-7 - [c183]Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan:
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS 2022: 105-119 - [c182]Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie:
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) 2022: 17-29 - [c181]Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri:
Modelling Zeros in Blockmodelling. PAKDD (2) 2022: 187-198 - [i33]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Adversarial Coreset Selection for Efficient Robust Training. CoRR abs/2209.05785 (2022) - [i32]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
COLLIDER: A Robust Training Framework for Backdoor Data. CoRR abs/2210.06704 (2022) - [i31]Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman:
Benchmarking Adversarially Robust Quantum Machine Learning at Scale. CoRR abs/2211.12681 (2022) - [i30]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR abs/2212.01096 (2022) - 2021
- [j76]Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. Inf. Process. Manag. 58(5): 102618 (2021) - [j75]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Support Vector Machines Against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16: 2566-2578 (2021) - [c180]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. AAAI 2021: 557-565 - [c179]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Scalable Contrast Pattern Mining over Data Streams. CIKM 2021: 2842-2846 - [c178]Yi Han, Shanika Karunasekera, Christopher Leckie:
Continual Learning for Fake News Detection from Social Media. ICANN (2) 2021: 372-384 - [c177]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Privacy-Preserving Collaborative SDR Networks for Anomaly Detection. ICC 2021: 1-6 - [c176]Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. IJCAI 2021: 3176-3184 - [c175]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. IJCNN 2021: 1-8 - [c174]Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle:
A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM 2021: 118-126 - [p2]Rahul Sharma, Chien Aun Chan, Christopher Leckie:
Evaluation of Collaborative Intrusion Detection System Architectures in Mobile Edge Computing. Mobile Edge Computing 2021: 359-384 - [i29]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. CoRR abs/2102.06314 (2021) - [i28]Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Knowledge Enhanced Multi-modal Fake News Detection. CoRR abs/2108.04418 (2021) - [i27]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR abs/2109.11803 (2021) - [i26]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
𝓁∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. CoRR abs/2112.00378 (2021) - 2020
- [j74]Masoomeh Zameni, Amin Sadri, Zahra Ghafoori, Masud Moshtaghi, Flora D. Salim, Christopher Leckie, Kotagiri Ramamohanarao:
Unsupervised online change point detection in high-dimensional time series. Knowl. Inf. Syst. 62(2): 719-750 (2020) - [j73]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma:
Exploiting patterns to explain individual predictions. Knowl. Inf. Syst. 62(3): 927-950 (2020) - [j72]Zahra Ghafoori, Sarah M. Erfani, James C. Bezdek, Shanika Karunasekera, Christopher Leckie:
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 32(4): 815-820 (2020) - [c173]Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. AAAI 2020: 1444-1451 - [c172]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Invertible Generative Modeling using Linear Rational Splines. AISTATS 2020: 4236-4246 - [c171]Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embedding Partial Propagation Network for Fake News Early Detection. CIKM (Workshops) 2020 - [c170]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CIKM 2020: 1375-1384 - [c169]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Distributed Generative Adversarial Networks for Anomaly Detection. GameSec 2020: 3-22 - [c168]Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, Christopher Leckie:
Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. ICDM 2020: 1160-1165 - [c167]Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN 2020: 1-8 - [c166]Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie:
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. IJCNN 2020: 1-8 - [c165]Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic:
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN 2020: 1-7 - [c164]Rahul Sharma, Chien Aun Chan, Christopher Leckie:
Evaluation of Centralised vs Distributed Collaborative Intrusion Detection Systems in Multi-Access Edge Computing. Networking 2020: 343-351 - [c163]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. NeurIPS 2020 - [c162]Yi Han, Shanika Karunasekera, Christopher Leckie:
Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. PAKDD (1) 2020: 398-410 - [c161]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
OMBA: User-Guided Product Representations for Online Market Basket Analysis. ECML/PKDD (1) 2020: 55-71 - [c160]Zahra Ghafoori, Christopher Leckie:
Deep Multi-sphere Support Vector Data Description. SDM 2020: 109-117 - [i25]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Invertible Generative Modeling using Linear Rational Splines. CoRR abs/2001.05168 (2020) - [i24]Yi Han, Shanika Karunasekera, Christopher Leckie:
Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams. CoRR abs/2002.04208 (2020) - [i23]Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
OMBA: User-Guided Product Representations for Online Market Basket Analysis. CoRR abs/2006.10396 (2020) - [i22]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Black-box Adversarial Example Generation with Normalizing Flows. CoRR abs/2007.02734 (2020) - [i21]Yi Han, Shanika Karunasekera, Christopher Leckie:
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media. CoRR abs/2007.03316 (2020) - [i20]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. CoRR abs/2007.07435 (2020) - [i19]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. CoRR abs/2007.11847 (2020) - [i18]Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR abs/2007.12652 (2020) - [i17]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Defending Regression Learners Against Poisoning Attacks. CoRR abs/2008.09279 (2020) - [i16]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR abs/2008.09284 (2020) - [i15]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns. CoRR abs/2011.14830 (2020) - [i14]Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. CoRR abs/2012.02342 (2020)
2010 – 2019
- 2019
- [j71]Jiaojiao Jiang, Steve Versteeg, Jun Han, Md. Arafat Hossain, Jean-Guy Schneider, Christopher Leckie, Zeinab Farahmandpour:
P-Gram: Positional N-Gram for the Clustering of Machine-Generated Messages. IEEE Access 7: 88504-88516 (2019) - [j70]Zhanghan Tang, Margreta Kuijper, Michelle S. Chong, Iven Mareels, Christopher Leckie:
Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case. Autom. 101: 53-59 (2019) - [j69]Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey:
Online cluster validity indices for performance monitoring of streaming data clustering. Int. J. Intell. Syst. 34(4): 541-563 (2019) - [j68]Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie:
Tour recommendation and trip planning using location-based social media: a survey. Knowl. Inf. Syst. 60(3): 1247-1275 (2019) - [j67]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Support vector machines resilient against training data integrity attacks. Pattern Recognit. 96 (2019) - [j66]Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie:
Approximating Dunn's Cluster Validity Indices for Partitions of Big Data. IEEE Trans. Cybern. 49(5): 1629-1641 (2019) - [c159]Jia Shun Low, Zahra Ghafoori, Christopher Leckie:
Online K-Means Clustering with Lightweight Coresets. Australasian Conference on Artificial Intelligence 2019: 191-202 - [c158]Jia Shun Low, Zahra Ghafoori, James C. Bezdek, Christopher Leckie:
Seeding on Samples for Accelerating K-Means Clustering. BDIOT 2019: 41-45 - [c157]Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood:
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. IEEE BigData 2019: 1131-1136 - [c156]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. IEEE BigData 2019: 1211-1217 - [c155]Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie:
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. CIKM 2019: 2253-2256 - [c154]Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns:
An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR 2019: 241-257 - [c153]Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri Ramamohanarao:
Change Point Detection for Streaming High-Dimensional Time Series. DASFAA (3) 2019: 515-519 - [c152]Yousef Kowsar, Eduardo Velloso, Lars Kulik, Christopher Leckie:
LiftSmart: a monitoring and warning wearable for weight trainers. UbiComp/ISWC Adjunct 2019: 298-301 - [c151]Chien Aun Chan, Ming Yan, André F. Gygax, Wenwen Li, Li Li, Chih-Lin I, Jinyao Yan, Christopher Leckie:
Big Data Driven Predictive Caching at the Wireless Edge. ICC Workshops 2019: 1-6 - [c150]Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns:
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI 2019: 1078-1085 - [c149]Fateme Fahiman, Sarah M. Erfani, Christopher Leckie:
Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. IJCNN 2019: 1-8 - [c148]Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie:
Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. IJCNN 2019: 1-10 - [c147]Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie:
Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN 2019: 1-8 - [c146]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle:
Improving the Quality of Explanations with Local Embedding Perturbations. KDD 2019: 875-884 - [c145]Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Shanika Karunasekera:
Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. ECML/PKDD (1) 2019: 90-106 - [i13]Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani:
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR abs/1902.09062 (2019) - [i12]Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood:
Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams. CoRR abs/1906.05063 (2019) - [i11]Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo:
USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. CoRR abs/1910.10335 (2019) - 2018
- [j65]Dheeraj Kumar, Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Dealing with Inliers in Feature Vector Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(Supplement-2): 25-45 (2018) - [j64]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowl. Inf. Syst. 54(2): 375-406 (2018) - [j63]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): 3709-3722 (2018) - [j62]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): 5057-5070 (2018) - [c144]Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie:
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. IEEE BigData 2018: 106-111 - [c143]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: 215-223 - [c142]Meng Yang, Lida Rashidi, Aravinda S. Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie:
Cluster-Based Crowd Movement Behavior Detection. DICTA 2018: 1-8 - [c141]Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague:
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec 2018: 145-165 - [c140]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Peyam Pourbeik, Jack Riddle:
Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks. GameSec 2018: 386-397 - [c139]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Jack Riddle:
Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. LCN 2018: 469-472 - [c138]Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi:
Online Clustering for Evolving Data Streams with Online Anomaly Detection. PAKDD (2) 2018: 508-521 - [c137]Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park:
Semi-supervised Blockmodelling with Pairwise Guidance. ECML/PKDD (2) 2018: 158-174 - [c136]Masoomeh Zameni, Mengyi He, Masud Moshtaghi, Zahra Ghafoori, Christopher Leckie, James C. Bezdek, Kotagiri Ramamohanarao:
Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability. ECML/PKDD (3) 2018: 553-568 - [c135]Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie:
Graph Stream Mining Based Anomalous Event Analysis. PRICAI (1) 2018: 891-903 - [c134]Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson:
Image Constrained Blockmodelling: A Constraint Programming Approach. SDM 2018: 19-27 - [c133]Punit Rathore, Zahra Ghafoori, James C. Bezdek, Marimuthu Palaniswami, Christopher Leckie:
Estimating Generalized Dunn's Cluster Validity Indices for Big Data. SMC 2018: 656-661 - [c132]Xuyun Zhang, Mahsa Salehi, Christopher Leckie, Yun Luo, Qiang He, Rui Zhou, Rao Kotagiri:
Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection. WISE (2) 2018: 269-284 - [i10]Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey:
Online Cluster Validity Indices for Streaming Data. CoRR abs/1801.02937 (2018) - [i9]Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague:
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR abs/1808.05770 (2018) - [i8]Minh Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, Christopher Leckie:
Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. CoRR abs/1811.02722 (2018) - 2017
- [j61]Rodrigo N. Calheiros, Kotagiri Ramamohanarao, Rajkumar Buyya, Christopher Leckie, Steve Versteeg:
On the effectiveness of isolation-based anomaly detection in cloud data centers. Concurr. Comput. Pract. Exp. 29(18) (2017) - [j60]Masud Moshtaghi, Sarah M. Erfani, Christopher Leckie, James C. Bezdek:
Exponentially Weighted Ellipsoidal Model for Anomaly Detection. Int. J. Intell. Syst. 32(9): 881-899 (2017) - [j59]Tarique Anwar, Chengfei Liu, Hai Le Vu, Christopher Leckie:
Partitioning road networks using density peak graphs: Efficiency vs. accuracy. Inf. Syst. 64: 22-40 (2017) - [j58]Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie:
Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing. IEEE Trans. Dependable Secur. Comput. 14(1): 95-108 (2017) - [j57]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): 265-281 (2017) - [c131]Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. AAAI 2017: 1854-1860 - [c130]Yuantian Miao, Lei Pan, Sutharshan Rajasegarar, Jun Zhang, Christopher Leckie, Yang Xiang:
Distributed Detection of Zero-Day Network Traffic Flows. AusDM 2017: 173-191 - [c129]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. CIKM 2017: 2015-2018 - [c128]Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Marimuthu Palaniswami, Christopher Leckie:
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. FUZZ-IEEE 2017: 1-8 - [c127]Timothy B. Iredale, Sarah M. Erfani, Christopher Leckie:
An efficient visual assessment of cluster tendency tool for large-scale time series data sets. FUZZ-IEEE 2017: 1-8 - [c126]Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi:
An Efficient Method for Anomaly Detection in Non-Stationary Data Streams. GLOBECOM 2017: 1-6 - [c125]Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang:
Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). ICDE 2017: 51-52 - [c124]Xuyun Zhang, Wan-Chun Dou, Qiang He, Rui Zhou, Christopher Leckie, Kotagiri Ramamohanarao, Zoran A. Salcic:
LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis. ICDE 2017: 983-994 - [c123]Li Li, Sarah M. Erfani, Christopher Leckie:
A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data. ICDM Workshops 2017: 916-923 - [c122]Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie:
Improving load forecasting based on deep learning and K-shape clustering. IJCNN 2017: 4134-4141 - [c121]Goce Ristanoski, Rahul Soni, Sutharshan Rajasegarar, James Bailey, Christopher Leckie:
Clustering Aided Support Vector Machines. MLDM 2017: 322-334 - [c120]Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie:
Personalized Itinerary Recommendation with Queuing Time Awareness. SIGIR 2017: 325-334 - [i7]Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Toward the Starting Line: A Systems Engineering Approach to Strong AI. CoRR abs/1707.09095 (2017) - [i6]Zhanghan Tang, Margreta Kuijper, Michelle Chong, Iven Mareels, Christopher Leckie:
Linear system security - detection and correction of adversarial attacks in the noise-free case. CoRR abs/1711.05400 (2017) - 2016
- [j56]Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Discovering outlying aspects in large datasets. Data Min. Knowl. Discov. 30(6): 1520-1555 (2016) - [j55]Ming Yan, Chien Aun Chan, Wenwen Li, Chih-Lin I, Sen Bian, André F. Gygax, Christopher Leckie, Kerry Hinton, Elaine Wong, Ampalavanapillai Nirmalathas:
Network Energy Consumption Assessment of Conventional Mobile Services and Over-the-Top Instant Messaging Applications. IEEE J. Sel. Areas Commun. 34(12): 3168-3180 (2016) - [j54]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: 121-134 (2016) - [j53]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): 2372-2385 (2016) - [j52]James C. Bezdek, Masud Moshtaghi, Thomas A. Runkler, Christopher Leckie:
The Generalized C Index for Internal Fuzzy Cluster Validity. IEEE Trans. Fuzzy Syst. 24(6): 1500-1512 (2016) - [j51]Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin I. P. Rubinstein:
A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning. IEEE Trans. Inf. Forensics Secur. 11(3): 556-570 (2016) - [j50]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): 24:1-24:40 (2016) - [j49]Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang:
Fast Memory Efficient Local Outlier Detection in Data Streams. IEEE Trans. Knowl. Data Eng. 28(12): 3246-3260 (2016) - [j48]Laurence Anthony F. Park, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, James Bailey, Marimuthu Palaniswami:
Visual Assessment of Clustering Tendency for Incomplete Data. IEEE Trans. Knowl. Data Eng. 28(12): 3409-3422 (2016) - [c119]Timothy Glennan, Christopher Leckie, Sarah M. Erfani:
Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning. ACISP (2) 2016: 493-501 - [c118]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Towards Next Generation Touring: Personalized Group Tours. ICAPS 2016: 412-420 - [c117]Mahsa Salehi, Xuyun Zhang, James C. Bezdek, Christopher Leckie:
Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection. Australasian Conference on Artificial Intelligence 2016: 469-481 - [c116]Tansu Alpcan, Benjamin I. P. Rubinstein, Christopher Leckie:
Large-scale strategic games and adversarial machine learning. CDC 2016: 4420-4426 - [c115]Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan:
Improving Personalized Trip Recommendation by Avoiding Crowds. CIKM 2016: 25-34 - [c114]Xuyun Zhang, Christopher Leckie, Wanchun Dou, Jinjun Chen, Kotagiri Ramamohanarao, Zoran Salcic:
Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation. CIKM 2016: 1793-1802 - [c113]Kwan Hui Lim, Xiaoting Wang, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie, Yehui Chen, Cheong Loong Tan, Fu Quan Gao, Teh Ken Wee:
PersTour: A Personalized Tour Recommendation and Planning System. HT (Extended Proceedings) 2016 - [c112]Xuan Vinh Nguyen, Sarah M. Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
Training robust models using Random Projection. ICPR 2016: 531-536 - [c111]Li Li, Christopher Leckie:
Trajectory Pattern Identification and Anomaly Detection of Pedestrian Flows Based on Visual Clustering. Intelligent Information Processing 2016: 121-131 - [c110]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: 132-141 - [c109]Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
Robust Domain Generalisation by Enforcing Distribution Invariance. IJCAI 2016: 1455-1461 - [c108]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: 2476-2483 - [c107]Yousef Kowsar, Masud Moshtaghi, Eduardo Velloso, Lars Kulik, Christopher Leckie:
Detecting unseen anomalies in weight training exercises. OZCHI 2016: 517-526 - [c106]Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie:
Unsupervised Parameter Estimation for One-Class Support Vector Machines. PAKDD (2) 2016: 183-195 - [c105]Junying Chen, Sutharshan Rajasegarar, Christopher Leckie, André F. Gygax:
Pedestrian behaviour analysis using the microsoft kinect. PerCom Workshops 2016: 1-6 - [c104]Lingjuan Lyu, Yee Wei Law, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami:
An improved scheme for privacy-preserving collaborative anomaly detection. PerCom Workshops 2016: 1-6 - [c103]Masoomeh Zameni, Masud Moshtaghi, Christopher Leckie:
Efficient query processing on road traffic network. PerCom Workshops 2016: 1-6 - [c102]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: 162-178 - [c101]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: 198-206 - [c100]Masud Moshtaghi, Christopher Leckie, James C. Bezdek:
Online Clustering of Multivariate Time-series. SDM 2016: 360-368 - [i5]Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, Marimuthu Palaniswami:
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. CoRR abs/1608.01072 (2016) - [i4]Tansu Alpcan, Benjamin I. P. Rubinstein, Christopher Leckie:
Large-Scale Strategic Games and Adversarial Machine Learning. CoRR abs/1609.06438 (2016) - 2015
- [j47]Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle:
LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. 31(4): 619 (2015) - [j46]Chien Aun Chan, Wenwen Li, Sen Bian, Chih-Lin I, André F. Gygax, Christopher Leckie, Ming Yan, Kerry Hinton:
Assessing network energy consumption of mobile applications. IEEE Commun. Mag. 53(11): 182-191 (2015) - [j45]Andrey Kan, John Markham, Rajib Chakravorty, James Bailey, Christopher Leckie:
Ranking cell tracking systems without manual validation. Pattern Recognit. Lett. 53: 38-43 (2015) - [j44]Masud Moshtaghi, James C. Bezdek, Christopher Leckie, Shanika Karunasekera, Marimuthu Palaniswami:
Evolving Fuzzy Rules for Anomaly Detection in Data Streams. IEEE Trans. Fuzzy Syst. 23(3): 688-700 (2015) - [c99]Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie:
R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. AAAI 2015: 432-438 - [c98]Florin Schimbinschi, Xuan Vinh Nguyen, James Bailey, Christopher Leckie, Hai Le Vu, Rao Kotagiri:
Traffic forecasting in complex urban networks: Leveraging big data and machine learning. IEEE BigData 2015: 1019-1024 - [c97]Minh Tuan Doan, Sutharshan Rajasegarar, Mahsa Salehi, Masud Moshtaghi, Christopher Leckie:
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. CIKM 2015: 1827-1830 - [c96]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. ECIR 2015: 489-494 - [c95]Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
Pattern based anomalous user detection in cognitive radio networks. ICASSP 2015: 5605-5609 - [c94]Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie:
Detection of Deception in the Mafia Party Game. ICMI 2015: 335-342 - [c93]Rajkumar Buyya, Kotagiri Ramamohanarao, Christopher Leckie, Rodrigo N. Calheiros, Amir Vahid Dastjerdi, Steven Versteeg:
Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions. ICPADS 2015: 75-84 - [c92]Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera:
Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. IJCAI 2015: 1778-1784 - [c91]Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan:
Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper. ISSNIP 2015: 1-6 - [c90]Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie:
Parking availability prediction for sensor-enabled car parks in smart cities. ISSNIP 2015: 1-6 - [c89]Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie:
An Embedding Scheme for Detecting Anomalous Block Structured Graphs. PAKDD (2) 2015: 215-227 - [c88]Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. PAKDD (2) 2015: 422-434 - [c87]Xiaoting Wang, Christopher Leckie, Hairuo Xie, Tharshan Vaithianathan:
Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data. PAKDD (1) 2015: 486-497 - [c86]Alistair Shilton, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment. RIoT 2015: 1-6 - [i3]Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie:
Invariant backpropagation: how to train a transformation-invariant neural network. CoRR abs/1502.04434 (2015) - [i2]Rajkumar Buyya, Kotagiri Ramamohanarao, Christopher Leckie, Rodrigo N. Calheiros, Amir Vahid Dastjerdi, Steven Versteeg:
Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions. CoRR abs/1510.06486 (2015) - 2014
- [j43]Gerard Wong, Jeffrey Chan, Bronwyn A. Kingwell, Christopher Leckie, Peter J. Meikle:
LICRE: unsupervised feature correlation reduction for lipidomics. Bioinform. 30(19): 2832-2833 (2014) - [j42]Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar:
An adaptive elliptical anomaly detection model for wireless sensor networks. Comput. Networks 64: 195-207 (2014) - [j41]Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou:
Estimating the number of hosts corresponding to an intrusion alert while preserving privacy. J. Comput. Syst. Sci. 80(3): 502-519 (2014) - [j40]Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
Hyperspherical cluster based distributed anomaly detection in wireless sensor networks. J. Parallel Distributed Comput. 74(1): 1833-1847 (2014) - [j39]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): 2867-2879 (2014) - [j38]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): 3823-3832 (2014) - [j37]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): 905-921 (2014) - [c85]Tarique Anwar, Chengfei Liu, Hai Le Vu, Christopher Leckie:
Spatial Partitioning of Large Urban Road Networks. EDBT 2014: 343-354 - [c84]Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie:
Virtual machine allocation policies against co-resident attacks in cloud computing. ICC 2014: 786-792 - [c83]Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks. ICC 2014: 4536-4541 - [c82]Jeffrey Chan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. ICDM 2014: 737-742 - [c81]Liyan Liu, Andrey Kan, Jie H. S. Zhou, John F. Markham, Philip D. Hodgkin, Christopher Leckie:
Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy. ICDM Workshops 2014: 968-975 - [c80]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: 1-6 - [c79]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: 1-7 - [c78]Xiaoting Wang, Sofia Suvorova, Tharshan Vaithianathan, Christopher Leckie:
Using trajectory features for upper limb action recognition. ISSNIP 2014: 1-6 - [c77]Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
Smart car parking: Temporal clustering and anomaly detection in urban car parking. ISSNIP 2014: 1-6 - [c76]Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) 2014: 362-373 - [c75]Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan:
A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams. PAKDD (2) 2014: 461-473 - [c74]Sarah M. Erfani, Yee Wei Law, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami:
Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing. PAKDD (1) 2014: 581-593 - 2013
- [j36]Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty:
Measures for ranking cell trackers without manual validation. Pattern Recognit. 46(11): 2849-2859 (2013) - [j35]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks. IEEE Trans. Fuzzy Syst. 21(6): 1170-1175 (2013) - [j34]Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A time decoupling approach for studying forum dynamics. World Wide Web 16(5-6): 595-620 (2013) - [c73]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: 112-117 - [c72]Jeffrey Chan, Wei Liu, Andrey Kan, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. CIKM 2013: 811-816 - [c71]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Jeffrey Chan, Wei Liu, James Bailey, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Clustering and visualization of fuzzy communities in social networks. FUZZ-IEEE 2013 - [c70]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami:
Extension of iVAT to asymmetric matrices. FUZZ-IEEE 2013 - [c69]Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie:
Security Games for Virtual Machine Allocation in Cloud Computing. GameSec 2013: 99-118 - [c68]Fan Shi, Cheng Soon Ong, Christopher Leckie:
Applications of Class-Conditional Conformal Predictor in Multi-class Classification. ICMLA (1) 2013: 235-239 - [c67]Sarah M. Erfani, Shanika Karunasekera, Christopher Leckie, Udaya Parampalli:
Privacy-preserving data aggregation in Participatory Sensing Networks. ISSNIP 2013: 165-170 - [c66]Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, Kotagiri Ramamohanarao:
A Bayesian Classifier for Learning from Tensorial Data. ECML/PKDD (2) 2013: 483-498 - [c65]James Bailey, Jeffrey Chan, Kotagiri Ramamohanarao, Christopher Leckie, Wei Liu:
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. SDM 2013: 614-622 - [c64]Yi Han, Jeffrey Chan, Christopher Leckie:
Analysing Virtual Machine Usage in Cloud Computing. SERVICES 2013: 370-377 - 2012
- [j33]Gerard Wong, Christopher Leckie, Adam Kowalczyk:
FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number. Bioinform. 28(2): 151-159 (2012) - [j32]Liang Wang, Christopher Leckie:
Improved Gaussian process classification via feature space rotation. Neurocomputing 83: 89-97 (2012) - [j31]Timothy C. Havens, James C. Bezdek, Christopher Leckie, Lawrence O. Hall, Marimuthu Palaniswami:
Fuzzy c-Means Algorithms for Very Large Data. IEEE Trans. Fuzzy Syst. 20(6): 1130-1146 (2012) - [j30]Jeffrey Chan, James Bailey, Christopher Leckie, Michael E. Houle:
ciForager: Incrementally discovering regions of correlated change in evolving graphs. ACM Trans. Knowl. Discov. Data 6(3): 11:1-11:50 (2012) - [c63]Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries. Australasian Conference on Artificial Intelligence 2012: 649-660 - [c62]Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao:
Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. CIKM 2012: 435-444 - [c61]Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao:
On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322 - [c60]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: 1-8 - [c59]Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. KDD 2012: 651-659 - [c58]Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou:
Estimating the Number of Hosts Corresponding to an Address while Preserving Anonymity. NSS 2012: 166-179 - [c57]Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie:
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. ACML 2012: 97-112 - [i1]Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie:
A Time Decoupling Approach for Studying Forum Dynamics. CoRR abs/1201.2277 (2012) - 2011
- [j29]Fan Shi, Gad Abraham, Christopher Leckie, Izhak Haviv, Adam Kowalczyk:
Meta-analysis of gene expression microarrays with missing replicates. BMC Bioinform. 12: 84 (2011) - [j28]James C. Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami, Timothy C. Havens:
Anomaly Detection in Environmental Monitoring Networks [Application Notes]. IEEE Comput. Intell. Mag. 6(2): 52-58 (2011) - [j27]Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou:
Self-similar characteristics of network intrusion attempts and the implications for predictability. Concurr. Comput. Pract. Exp. 23(12): 1367-1385 (2011) - [j26]Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami:
Spatio-temporal modelling-based drift-aware wireless sensor networks. IET Wirel. Sens. Syst. 1(2): 110-122 (2011) - [j25]Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence Anthony F. Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, Marimuthu Palaniswami:
Clustering ellipses for anomaly detection. Pattern Recognit. 44(1): 55-69 (2011) - [j24]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Approximate pairwise clustering for large data sets via sampling plus extension. Pattern Recognit. 44(2): 222-235 (2011) - [j23]Masud Moshtaghi, Sutharshan Rajasegarar, Christopher Leckie, Shanika Karunasekera:
An efficient hyperellipsoidal clustering algorithm for resource-constrained environments. Pattern Recognit. 44(9): 2197-2209 (2011) - [c56]Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. ICDM 2011: 467-476 - [c55]Sarah M. Erfani, Sutharshan Rajasegarar, Christopher Leckie:
An efficient approach to detecting concept-evolution in network data streams. ATNAC 2011: 1-7 - 2010
- [j22]Gerard Wong, Christopher Leckie, Kylie L. Gorringe, Izhak Haviv, Ian G. Campbell, Adam Kowalczyk:
Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations. Bioinform. 26(8): 1007-1014 (2010) - [j21]Fan Shi, Christopher Leckie, Geoff MacIntyre, Izhak Haviv, Alex Boussioutas, Adam Kowalczyk:
A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer. BMC Bioinform. 11: 477 (2010) - [j20]Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera:
A survey of coordinated attacks and collaborative intrusion detection. Comput. Secur. 29(1): 124-140 (2010) - [j19]Abdun Naser Mahmood, Jiankun Hu, Zahir Tari, Christopher Leckie:
Critical infrastructure protection: Resource efficient sampling to improve detection of less frequent patterns in network traffic. J. Netw. Comput. Appl. 33(4): 491-502 (2010) - [j18]Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Marimuthu Palaniswami:
Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks. IEEE Trans. Inf. Forensics Secur. 5(3): 518-533 (2010) - [j17]Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE Trans. Knowl. Data Eng. 22(10): 1401-1414 (2010) - [c54]James C. Bezdek, Timothy C. Havens, James M. Keller, Christopher Leckie, Laurence Anthony F. Park:
Clustering elliptical anomalies in sensor networks. FUZZ-IEEE 2010: 1-8 - [c53]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao:
Combining Real and Virtual Graphs to Enhance Data Clustering. ICPR 2010: 790-793 - [c52]Liang Wang, Christopher Leckie:
Encoding Actions via Quantized Vocabulary of Averaged Silhouettes. ICPR 2010: 3657-3660 - [c51]Hao Qu, Liang Wang, Christopher Leckie:
Action Recognition Using Space-Time Shape Difference Images. ICPR 2010: 3661-3664 - [c50]Shan Suthaharan, Christopher Leckie, Masud Moshtaghi, Shanika Karunasekera, Sutharshan Rajasegarar:
Sensor data boundary estimation for anomaly detection in wireless sensor networks. MASS 2010: 546-551 - [c49]Li Lin, Christopher Leckie, Chenfeng Vincent Zhou:
Comparative Analysis of HTTP Anomaly Detection Algorithms: DFA vs N-Grams. NSS 2010: 113-119 - [c48]Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. PAKDD (1) 2010: 16-27 - [p1]Abdun Naser Mahmood, Christopher Leckie, Jiankun Hu, Zahir Tari, Mohammed Atiquzzaman:
Network Traffic Analysis and SCADA Security. Handbook of Information and Communication Security 2010: 383-405
2000 – 2009
- 2009
- [j16]Chenfeng Vincent Zhou, Christopher Leckie, Kotagiri Ramamohanarao:
Protecting SIP server from CPU-based DoS attacks using history-based IP filtering. IEEE Commun. Lett. 13(10): 800-802 (2009) - [j15]Jeffrey Chan, James Bailey, Christopher Leckie:
Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. Intell. Data Anal. 13(5): 755-793 (2009) - [j14]Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera:
Decentralized multi-dimensional alert correlation for collaborative intrusion detection. J. Netw. Comput. Appl. 32(5): 1106-1123 (2009) - [j13]Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera:
Collaborative Detection of Fast Flux Phishing Domains. J. Networks 4(1): 75-84 (2009) - [j12]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Automatically Determining the Number of Clusters in Unlabeled Data Sets. IEEE Trans. Knowl. Data Eng. 21(3): 335-350 (2009) - [j11]Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami:
Elliptical anomalies in wireless sensor networks. ACM Trans. Sens. Networks 6(1): 7:1-7:28 (2009) - [c47]Laurence Anthony F. Park, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis. Australasian Conference on Artificial Intelligence 2009: 301-311 - [c46]Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie:
A Query Based Approach for Mining Evolving Graphs. AusDM 2009: 139-150 - [c45]Laurence Anthony F. Park, James C. Bezdek, Christopher Leckie:
Visualization of clusters in very large rectangular dissimilarity data. ICARA 2009: 251-256 - [c44]Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou:
Characterising the Evolution in Scanning Activity of Suspicious Hosts. NSS 2009: 344-350 - [c43]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Approximate Spectral Clustering. PAKDD 2009: 134-146 - [c42]Liang Wang, Hang Zhou, Sui-Chien Low, Christopher Leckie:
Action recognition via multi-feature fusion and Gaussian process classification. WACV 2009: 1-6 - 2008
- [j10]Liang Wang, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
Selective sampling for approximate clustering of very large data sets. Int. J. Intell. Syst. 23(3): 313-331 (2008) - [j9]Jeffrey Chan, James Bailey, Christopher Leckie:
Discovering correlated spatio-temporal changes in evolving graphs. Knowl. Inf. Syst. 16(1): 53-96 (2008) - [j8]Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya:
An Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis. IEEE Trans. Knowl. Data Eng. 20(6): 752-767 (2008) - [j7]Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
Anomaly detection in wireless sensor networks. IEEE Wirel. Commun. 15(4): 34-40 (2008) - [c41]Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao:
Moving shape dynamics: A signal processing perspective. CVPR 2008 - [c40]Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami:
Online drift correction in wireless sensor networks using spatio-temporal modeling. FUSION 2008: 1-8 - [c39]Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami:
CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection. ICC 2008: 1610-1614 - [c38]Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
SpecVAT: Enhanced Visual Cluster Analysis. ICDM 2008: 638-647 - [c37]Joanna Cheng, Liang Wang, Christopher Leckie:
Dual clustering for categorization of action sequences. ICPR 2008: 1-4 - [c36]Daniel Peter Dallas, Christopher Leckie, Kotagiri Ramamohanarao:
Analysis and enhancement of on-demand routing in wireless sensor networks. PM2HW2N 2008: 173-179 - [c35]Ming Luo, Tao Peng, Christopher Leckie:
CPU-based DoS attacks against SIP servers. NOMS 2008: 41-48 - [c34]Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie:
Relieving hot spots in collaborative intrusion detection systems during worm outbreaks. NOMS 2008: 49-56 - [c33]Liang Wang, Xiaozhe Wang, Christopher Leckie, Kotagiri Ramamohanarao:
Characteristic-Based Descriptors for Motion Sequence Recognition. PAKDD 2008: 369-380 - 2007
- [j6]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Survey of network-based defense mechanisms countering the DoS and DDoS problems. ACM Comput. Surv. 39(1): 3 (2007) - [j5]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Information sharing for distributed intrusion detection systems. J. Netw. Comput. Appl. 30(3): 877-899 (2007) - [c32]Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, James C. Bezdek:
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks. ICC 2007: 3864-3869 - [c31]Liang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek:
Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. ICDM Workshops 2007: 63-68 - [c30]Kotagiri Ramamohanarao, Kapil Kumar Gupta, Tao Peng, Christopher Leckie:
The Curse of Ease of Access to the Internet. ICISS 2007: 234-249 - [c29]Daniel Peter Dallas, Christopher Leckie, Kotagiri Ramamohanarao:
Hop-Count Monitoring: Detecting Sinkhole Attacks in Wireless Sensor Networks. ICON 2007: 176-181 - [c28]Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie:
Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. Integrated Network Management 2007: 80-89 - [c27]Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya:
A scalable sampling scheme for clustering in network traffic analysis. Infoscale 2007: 38 - 2006
- [j4]Chong Eik Loo, Mun Yong Ng, Christopher Leckie, Marimuthu Palaniswami:
Intrusion Detection for Routing Attacks in Sensor Networks. Int. J. Distributed Sens. Networks 2(4): 313-332 (2006) - [j3]James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, Christopher Leckie, Kotagiri Ramamohanarao:
Approximate clustering in very large relational data. Int. J. Intell. Syst. 21(8): 817-841 (2006) - [c26]James C. Bezdek, Richard J. Hathaway, Christopher Leckie, Kotagiri Ramamohanarao:
Approximate data mining in very large relational data. ADC 2006: 3-13 - [c25]Xiaoyuan Qian, James Bailey, Christopher Leckie:
Mining Generalised Emerging Patterns. Australian Conference on Artificial Intelligence 2006: 295-304 - [c24]Jeffrey Chan, James Bailey, Christopher Leckie:
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. ICDM Workshops 2006: 361-365 - [c23]Dana Zhang, Christopher Leckie:
An evaluation technique for network intrusion detection systems. Infoscale 2006: 23 - [c22]Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya:
Echidna: Efficient Clustering of Hierarchical Data for Network Traffic Analysis. Networking 2006: 1092-1098 - 2005
- [c21]Kingsly Leung, Christopher Leckie:
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters. ACSC 2005: 333-342 - [c20]Yousof Al-Hammadi, Christopher Leckie:
Anomaly detection for Internet worms. Integrated Network Management 2005: 133-146 - [c19]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Exploiting Traffic Localities for Efficient Flow State Lookup. NETWORKING 2005: 1133-1145 - 2004
- [j2]Siew Cheong Au, Christopher Leckie, Ajeet Parhar, Gerard Wong:
Efficient visualization of large routing topologies. Int. J. Netw. Manag. 14(2): 105-118 (2004) - [c18]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Proactively Detecting Distributed Denial of Service Attacks Using Source IP Address Monitoring. NETWORKING 2004: 771-782 - [c17]Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie:
Adaptive Clustering for Network Intrusion Detection. PAKDD 2004: 255-259 - 2003
- [c16]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Detecting Distributed Denial of Service Attacks by Sharing Distributed Beliefs. ACISP 2003: 214-225 - [c15]Christopher Leckie, Kotagiri Ramamohanarao:
Policies for Sharing Distributed Probabilistic Beliefs. ACSC 2003: 285-290 - [c14]Samuel Abdelsayed, David Glimsholt, Christopher Leckie, Simon Ryan, Samer Shami:
An efficient filter for denial-of-service bandwidth attacks. GLOBECOM 2003: 1353-1357 - [c13]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Detecting reflector attacks by sharing beliefs. GLOBECOM 2003: 1358-1362 - [c12]Herman L. Ferrá, Ken Lau, Christopher Leckie, Anderson Tang:
Applying Reinforcement Learning to Packet Scheduling in Routers. IAAI 2003: 79-84 - [c11]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Protection from distributed denial of service attacks using history-based IP filtering. ICC 2003: 482-486 - [c10]David Soen-Mun Chan, Khim Shiong Chua, Christopher Leckie, Ajeet Parhar:
Visualisation of power-law network topologies. ICON 2003: 69-74 - 2002
- [c9]Christopher Leckie, Kotagiri Ramamohanarao:
Learning to Share Distributed Probabilistic Beliefs. ICML 2002: 371-378 - [c8]Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao:
Adjusted Probabilistic Packet Marking for IP Traceback. NETWORKING 2002: 697-708 - [c7]Christopher Leckie, Kotagiri Ramamohanarao:
A probabilistic approach to detecting network scans. NOMS 2002: 359-372
1990 – 1999
- 1999
- [c6]Bhavani Raskutti, Christopher Leckie:
An Evaluation of Criteria for Measuring the Quality of Clusters. IJCAI 1999: 905-910 - 1998
- [j1]Christopher Leckie, Ingrid Zukerman:
Inductive Learning of Search Control Rules for Planning. Artif. Intell. 101(1-2): 63-98 (1998) - 1997
- [c5]Christopher Leckie, Michael Dale:
Locating Faults in Tree-Structured Networks. IJCAI (1) 1997: 434-439 - [c4]Chris Leckie, Rye Senjen, Belinda Ward, Ming Zhao:
A Multi-Agent System for Distributed Fault Diagnosis. PAAM 1997: 71-86 - 1996
- [c3]Ming Zhao, Christopher Leckie:
The Development of an Interactive Fault Diagnosis Expert System for Telecommunication Applications. PRICAI 1996: 59-70 - 1993
- [c2]Christopher Leckie, Ingrid Zukerman:
An Inductive Approach to Learning Search Control Rules for Planning. IJCAI 1993: 1100-1105 - 1991
- [c1]Christopher Leckie, Ingrid Zukerman:
Learning Search Control Rules for Planning: An Inductive Approach. ML 1991: 422-426
Coauthor Index
[c195] [j79] [c190] [c181] [j73] [c173] [c165] [i18] [i14] [j69] [c154] [c150] [c146] [c137] [c134] [i10] [c131] [c121] [j56] [j48] [c112] [c109] [c102] [c101] [j45] [c98] [c94] [c88] [i3] [c82] [c76] [j36] [j34] [c72] [c71] [c66] [c65] [j30] [c63] [c62] [c61] [c59] [c57] [i1] [j15] [c46] [j9] [c25] [c24]
[j80] [j72] [j69] [j66] [c158] [c145] [j65] [j62] [c136] [c133] [i10] [j60] [j57] [c128] [c125] [j53] [j52] [j50] [j49] [j48] [c117] [c100] [i5] [j44] [c91] [j38] [j37] [j35] [c73] [c71] [c70] [j31] [c60] [j28] [j25] [j24] [c56] [j18] [j17] [c54] [c48] [j12] [j11] [c47] [c45] [c43] [j10] [c38] [c32] [c31] [j3] [c26]
[j87] [c200] [i40] [c197] [c191] [j81] [j79] [c190] [c183] [c181] [c173] [c168] [c165] [i18] [i14] [j68] [c154] [c150] [j64] [c137] [c134] [j58] [c120] [j56] [j51] [j50] [c118] [c115] [c113] [c102] [j47] [c96] [c92] [c88] [j43] [c84] [c82] [c76] [j34] [c72] [c71] [c69] [c66] [c65] [c64] [j30] [c62] [c61] [c59] [i1] [j15] [c46] [j9] [c24]
Hadi M. Dolatabadi
aka: Hadi Mohaghegh Dolatabadi
aka: Hadi Mohaghegh Dolatabadi
[j87] [c205] [c203] [c202] [c199] [i46] [i44] [i43] [j85] [j84] [c197] [c193] [c191] [i38] [i35] [c188] [c187] [c186] [c183] [i33] [i32] [i31] [j75] [c179] [c176] [c175] [c174] [i27] [i26] [j72] [c172] [c167] [c166] [c163] [i25] [i22] [i20] [i17] [i16] [i15] [j69] [j67] [c155] [c149] [c148] [c147] [i13] [j62] [c141] [c140] [c139] [i10] [i9] [j60] [c131] [c129] [c128] [c127] [c123] [c122] [i7] [j54] [c119] [c112] [c109] [c108] [c106] [c104] [c101] [i5] [c99] [c74] [c67] [c55]
Timothy C. Havens
aka: Timothy Craig Havens
aka: Timothy Craig Havens
[j86] [c201] [i42] [i41] [i36] [c189] [j76] [c180] [c178] [i29] [i28] [j72] [c171] [c170] [c162] [c161] [i24] [i23] [i21] [i19] [j68] [c157] [c156] [c145] [i12] [i11] [j64] [j62] [c120] [j54] [c118] [c113] [c108] [c106] [j44] [c99] [c96] [c92] [j42] [j38] [j37] [c80] [c74] [c67] [j23] [c56] [j20] [c50] [j14] [j13] [c34] [c28]
[j87] [c197] [c191] [j81] [c183] [c168] [c147] [j63] [j62] [c144] [c143] [c142] [c135] [i8] [j57] [c130] [c122] [c121] [j54] [j53] [j50] [c110] [c108] [c106] [c105] [c102] [c101] [c99] [c97] [c95] [c90] [c89] [c86] [j42] [j40] [j39] [j38] [j37] [c83] [c80] [c79] [c77] [c73] [c60] [j28] [j26] [j25] [j23] [c56] [c55] [j18] [c50] [j11] [j7] [c40] [c39] [c32]
[j79] [j78] [c181] [j74] [j73] [c173] [c165] [i18] [c154] [c153] [c150] [c146] [j65] [c137] [c136] [c134] [c132] [j61] [c131] [c124] [j56] [j48] [c114] [c112] [c109] [c102] [c101] [c98] [c94] [c93] [c88] [i3] [i2] [c82] [c76] [j35] [c72] [c71] [c66] [c65] [c63] [c62] [c61] [c59] [c57] [j24] [j17] [c53] [c48] [j16] [j12] [c47] [c43] [j10] [c41] [c38] [c36] [c33] [j6] [j5] [c31] [c30] [c29] [j3] [c26] [c19] [c18] [c16] [c15] [c13] [c11] [c9] [c8] [c7]
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