Christopher Leckie

Gerard Wong, Christopher Leckie, Adam Kowalczyk: FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number. Bioinformatics 28(2): 151-159 (2012)

Liang Wang, Christopher Leckie: Improved Gaussian process classification via feature space rotation. Neurocomputing 83: 89-97 (2012)

Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie: AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. Journal of Machine Learning Research - Proceedings Track 25: 97-112 (2012)

Timothy C. Havens, James C. Bezdek, Christopher Leckie, Lawrence O. Hall, Marimuthu Palaniswami: Fuzzy c-Means Algorithms for Very Large Data. IEEE T. Fuzzy Systems 20(6): 1130-1146 (2012)

Jeffrey Chan, James Bailey, Christopher Leckie, Michael Houle: ciForager: Incrementally discovering regions of correlated change in evolving graphs. TKDD 6(3): 11 (2012)

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

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

Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei, Kotagiri Ramamohanarao: On compressing weighted time-evolving graphs. CIKM 2012: 2319-2322

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

Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao: SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. KDD 2012: 651-659

Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou: Estimating the Number of Hosts Corresponding to an Address while Preserving Anonymity. NSS 2012: 166-179

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)

Fan Shi, Gad Abraham, Christopher Leckie, Izhak Haviv, Adam Kowalczyk: Meta-analysis of gene expression microarrays with missing replicates. BMC Bioinformatics 12: 84 (2011)

James C. Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami, Timothy C. Havens: Anomaly Detection in Environmental Monitoring Networks [Application Notes]. IEEE Comp. Int. Mag. 6(2): 52-58 (2011)

Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou: Self-similar characteristics of network intrusion attempts and the implications for predictability. Concurrency and Computation: Practice and Experience 23(12): 1367-1385 (2011)

Maen Takruri, Sutharshan Rajasegarar, Subhash Challa, Christopher Leckie, Marimuthu Palaniswami: Spatio-temporal modelling-based drift-aware wireless sensor networks. IET Wireless Sensor Systems 1(2): 110-122 (2011)

Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence A. F. Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, Marimuthu Palaniswami: Clustering ellipses for anomaly detection. Pattern Recognition 44(1): 55-69 (2011)

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek: Approximate pairwise clustering for large data sets via sampling plus extension. Pattern Recognition 44(2): 222-235 (2011)

Masud Moshtaghi, Sutharshan Rajasegarar, Christopher Leckie, Shanika Karunasekera: An efficient hyperellipsoidal clustering algorithm for resource-constrained environments. Pattern Recognition 44(9): 2197-2209 (2011)

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

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. Bioinformatics 26(8): 1007-1014 (2010)

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 Bioinformatics 11: 477 (2010)

Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera: A survey of coordinated attacks and collaborative intrusion detection. Computers & Security 29(1): 124-140 (2010)

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. Network and Computer Applications 33(4): 491-502 (2010)

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 Transactions on Information Forensics and Security 5(3): 518-533 (2010)

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)

James C. Bezdek, Timothy C. Havens, James M. Keller, Christopher Leckie, Laurence A. F. Park: Clustering elliptical anomalies in sensor networks. FUZZ-IEEE 2010: 1-8

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao: Combining Real and Virtual Graphs to Enhance Data Clustering. ICPR 2010: 790-793

Liang Wang, Christopher Leckie: Encoding Actions via Quantized Vocabulary of Averaged Silhouettes. ICPR 2010: 3657-3660

Hao Qu, Liang Wang, Christopher Leckie: Action Recognition Using Space-Time Shape Difference Images. ICPR 2010: 3661-3664

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

Li Lin, Christopher Leckie, Chenfeng Vincent Zhou: Comparative Analysis of HTTP Anomaly Detection Algorithms: DFA vs N-Grams. NSS 2010: 113-119

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

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

Chenfeng Vincent Zhou, Christopher Leckie, Kotagiri Ramamohanarao: Protecting SIP server from CPU-based DoS attacks using history-based IP filtering. IEEE Communications Letters 13(10): 800-802 (2009)

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)

Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera: Decentralized multi-dimensional alert correlation for collaborative intrusion detection. J. Network and Computer Applications 32(5): 1106-1123 (2009)

Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera: Collaborative Detection of Fast Flux Phishing Domains. JNW 4(1): 75-84 (2009)

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)

Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami: Elliptical anomalies in wireless sensor networks. TOSN 6(1) (2009)

Laurence A. 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

Laurence A. F. Park, James C. Bezdek, Christopher Leckie: Visualization of clusters in very large rectangular dissimilarity data. ICARA 2009: 251-256

Alif Wahid, Christopher Leckie, Chenfeng Vincent Zhou: Characterising the Evolution in Scanning Activity of Suspicious Hosts. NSS 2009: 344-350

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek: Approximate Spectral Clustering. PAKDD 2009: 134-146

Liang Wang, Hang Zhou, Sui-Chien Low, Christopher Leckie: Action recognition via multi-feature fusion and Gaussian process classification. WACV 2009: 1-6

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)

Jeffrey Chan, James Bailey, Christopher Leckie: Discovering correlated spatio-temporal changes in evolving graphs. Knowl. Inf. Syst. 16(1): 53-96 (2008)

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)

Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao: Moving shape dynamics: A signal processing perspective. CVPR 2008

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami: CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection. ICC 2008: 1610-1614

Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao: SpecVAT: Enhanced Visual Cluster Analysis. ICDM 2008: 638-647

Joanna Cheng, Liang Wang, Christopher Leckie: Dual clustering for categorization of action sequences. ICPR 2008: 1-4

Daniel Peter Dallas, Christopher Leckie, Kotagiri Ramamohanarao: Analysis and enhancement of on-demand routing in wireless sensor networks. PM2HW2N 2008: 173-179

Ming Luo, Tao Peng, Christopher Leckie: CPU-based DoS attacks against SIP servers. NOMS 2008: 41-48

Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie: Relieving hot spots in collaborative intrusion detection systems during worm outbreaks. NOMS 2008: 49-56

Liang Wang, Xiaozhe Wang, Christopher Leckie, Kotagiri Ramamohanarao: Characteristic-Based Descriptors for Motion Sequence Recognition. PAKDD 2008: 369-380

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Survey of network-based defense mechanisms countering the DoS and DDoS problems. ACM Comput. Surv. 39(1) (2007)

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Information sharing for distributed intrusion detection systems. J. Network and Computer Applications 30(3): 877-899 (2007)

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, James C. Bezdek: Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks. ICC 2007: 3864-3869

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

Kotagiri Ramamohanarao, Kapil Kumar Gupta, Tao Peng, Christopher Leckie: The Curse of Ease of Access to the Internet. ICISS 2007: 234-249

Daniel Peter Dallas, Christopher Leckie, Kotagiri Ramamohanarao: Hop-Count Monitoring: Detecting Sinkhole Attacks in Wireless Sensor Networks. ICON 2007: 176-181

Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie: Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection. Integrated Network Management 2007: 80-89

Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya: A scalable sampling scheme for clustering in network traffic analysis. Infoscale 2007: 38

Chong Eik Loo, Mun Yong Ng, Christopher Leckie, Marimuthu Palaniswami: Intrusion Detection for Routing Attacks in Sensor Networks. IJDSN 2(4): 313-332 (2006)

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)

James C. Bezdek, Richard J. Hathaway, Christopher Leckie, Kotagiri Ramamohanarao: Approximate data mining in very large relational data. ADC 2006: 3-13

Xiaoyuan Qian, James Bailey, Christopher Leckie: Mining Generalised Emerging Patterns. Australian Conference on Artificial Intelligence 2006: 295-304

Jeffrey Chan, James Bailey, Christopher Leckie: Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. ICDM Workshops 2006: 361-365

Dana Zhang, Christopher Leckie: An evaluation technique for network intrusion detection systems. Infoscale 2006: 23

Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya: Echidna: Efficient Clustering of Hierarchical Data for Network Traffic Analysis. Networking 2006: 1092-1098

Kingsly Leung, Christopher Leckie: Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters. ACSC 2005: 333-342

Y. Al-Hammadi, Christopher Leckie: Anomaly detection for Internet worms. Integrated Network Management 2005: 133-146

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Exploiting Traffic Localities for Efficient Flow State Lookup. NETWORKING 2005: 1133-1145

Siew Cheong Au, Christopher Leckie, Ajeet Parhar, Gerard Wong: Efficient visualization of large routing topologies. Int. Journal of Network Management 14(2): 105-118 (2004)

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Proactively Detecting Distributed Denial of Service Attacks Using Source IP Address Monitoring. NETWORKING 2004: 771-782

Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie: Adaptive Clustering for Network Intrusion Detection. PAKDD 2004: 255-259

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Detecting Distributed Denial of Service Attacks by Sharing Distributed Beliefs. ACISP 2003: 214-225

Christopher Leckie, Kotagiri Ramamohanarao: Policies for Sharing Distributed Probabilistic Beliefs. ACSC 2003: 285-290

Samuel Abdelsayed, David Glimsholt, Christopher Leckie, Simon Ryan, Samer Shami: An efficient filter for denial-of-service bandwidth attacks. GLOBECOM 2003: 1353-1357

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Detecting reflector attacks by sharing beliefs. GLOBECOM 2003: 1358-1362

Herman L. Ferrá, Ken Lau, Christopher Leckie, Anderson Tang: Applying Reinforcement Learning to Packet Scheduling in Routers. IAAI 2003: 79-84

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Protection from distributed denial of service attacks using history-based IP filtering. ICC 2003: 482-486

Christopher Leckie, Kotagiri Ramamohanarao: Learning to Share Distributed Probabilistic Beliefs. ICML 2002: 371-378

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao: Adjusted Probabilistic Packet Marking for IP Traceback. NETWORKING 2002: 697-708

Christopher Leckie, Kotagiri Ramamohanarao: A probabilistic approach to detecting network scans. NOMS 2002: 359-372

Bhavani Raskutti, Christopher Leckie: An Evaluation of Criteria for Measuring the Quality of Clusters. IJCAI 1999: 905-910

Christopher Leckie, Ingrid Zukerman: Inductive Learning of Search Control Rules for Planning. Artif. Intell. 101(1-2): 63-98 (1998)

Christopher Leckie, Michael Dale: Locating Faults in Tree-Structured Networks. IJCAI (1) 1997: 434-439

Ming Zhao, Christopher Leckie: The Development of an Interactive Fault Diagnosis Expert System for Telecommunication Applications. PRICAI 1996: 59-70

Christopher Leckie, Ingrid Zukerman: An Inductive Approach to Learning Search Control Rules for Planning. IJCAI 1993: 1100-1105

Christopher Leckie, Ingrid Zukerman: Learning Search Control Rules for Planning: An Inductive Approach. ML 1991: 422-426