Learning Search Control Rules for Planning: An Inductive Approach. - Christopher Leckie; Ingrid Zukerman (ML, 1991)

An Inductive Approach to Learning Search Control Rules for Planning. - Christopher Leckie; Ingrid Zukerman (IJCAI, 1993)

The Development of an Interactive Fault Diagnosis Expert System for Telecommunication Applications. - Ming Zhao; Christopher Leckie (PRICAI, 1996)

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

A Multi-Agent System for Distributed Fault Diagnosis. - Chris Leckie; Rye Senjen; Belinda Ward; Ming Zhao (PAAM, 1997)

Inductive Learning of Search Control Rules for Planning. - Christopher Leckie; Ingrid Zukerman (Artif. Intell., 1998)

An Evaluation of Criteria for Measuring the Quality of Clusters. - Bhavani Raskutti; Christopher Leckie (IJCAI, 1999)

Learning to Share Distributed Probabilistic Beliefs. - Christopher Leckie; Kotagiri Ramamohanarao (ICML, 2002)

Adjusted Probabilistic Packet Marking for IP Traceback. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (NETWORKING, 2002)

A probabilistic approach to detecting network scans. - Christopher Leckie; Kotagiri Ramamohanarao (NOMS, 2002)

Detecting Distributed Denial of Service Attacks by Sharing Distributed Beliefs. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (ACISP, 2003)

Policies for Sharing Distributed Probabilistic Beliefs. - Christopher Leckie; Kotagiri Ramamohanarao (ACSC, 2003)

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

Detecting reflector attacks by sharing beliefs. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (GLOBECOM, 2003)

Applying Reinforcement Learning to Packet Scheduling in Routers. - Herman L. Ferrá; Ken Lau; Christopher Leckie; Anderson Tang (IAAI, 2003)

Protection from distributed denial of service attacks using history-based IP filtering. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (ICC, 2003)

Visualisation of power-law network topologies. - David Soen-Mun Chan; Khim Shiong Chua; Christopher Leckie; Ajeet Parhar (ICON, 2003)

Proactively Detecting Distributed Denial of Service Attacks Using Source IP Address Monitoring. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (NETWORKING, 2004)

Adaptive Clustering for Network Intrusion Detection. - Joshua Oldmeadow; Siddarth Ravinutala; Christopher Leckie (PAKDD, 2004)

Efficient visualization of large routing topologies. - Siew Cheong Au; Christopher Leckie; Ajeet Parhar; Gerard Wong (Int. J. Netw. Manag., 2004)

Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters. - Kingsly Leung; Christopher Leckie (ACSC, 2005)

Anomaly detection for Internet worms. - Yousof Al-Hammadi; Christopher Leckie (Integrated Network Management, 2005)

Exploiting Traffic Localities for Efficient Flow State Lookup. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (NETWORKING, 2005)

Approximate data mining in very large relational data. - James C. Bezdek; Richard J. Hathaway; Christopher Leckie; Kotagiri Ramamohanarao (ADC, 2006)

Mining Generalised Emerging Patterns. - Xiaoyuan Qian; James Bailey 001; Christopher Leckie (Australian Conference on Artificial Intelligence, 2006)

Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs. - Jeffrey Chan; James Bailey 001; Christopher Leckie (ICDM Workshops, 2006)

An evaluation technique for network intrusion detection systems. - Dana Zhang; Christopher Leckie (Infoscale, 2006)

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

Intrusion Detection for Routing Attacks in Sensor Networks. - Chong Eik Loo; Mun Yong Ng; Christopher Leckie; Marimuthu Palaniswami (Int. J. Distributed Sens. Networks, 2006)

Approximate clustering in very large relational data. - James C. Bezdek; Richard J. Hathaway; Jacalyn M. Huband; Christopher Leckie; Kotagiri Ramamohanarao (Int. J. Intell. Syst., 2006)

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

Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. - Liang Wang 001; Christopher Leckie; Xiaozhe Wang; Kotagiri Ramamohanarao; James C. Bezdek (ICDM Workshops, 2007)

The Curse of Ease of Access to the Internet. - Kotagiri Ramamohanarao; Kapil Kumar Gupta; Tao Peng 002; Christopher Leckie (ICISS, 2007)

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

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

A scalable sampling scheme for clustering in network traffic analysis. - Abdun Naser Mahmood; Christopher Leckie; Parampalli Udaya (Infoscale, 2007)

Survey of network-based defense mechanisms countering the DoS and DDoS problems. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (ACM Comput. Surv., 2007)

Information sharing for distributed intrusion detection systems. - Tao Peng 002; Christopher Leckie; Kotagiri Ramamohanarao (J. Netw. Comput. Appl., 2007)

Moving shape dynamics: A signal processing perspective. - Liang Wang 001; Xin Geng 001; Christopher Leckie; Kotagiri Ramamohanarao (CVPR, 2008)

Online drift correction in wireless sensor networks using spatio-temporal modeling. - Maen Takruri; Sutharshan Rajasegarar; Subhash Challa; Christopher Leckie; Marimuthu Palaniswami (FUSION, 2008)

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

SpecVAT: Enhanced Visual Cluster Analysis. - Liang Wang 001; Xin Geng 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (ICDM, 2008)

Dual clustering for categorization of action sequences. - Joanna Cheng; Liang Wang 001; Christopher Leckie (ICPR, 2008)

Analysis and enhancement of on-demand routing in wireless sensor networks. - Daniel Peter Dallas; Christopher Leckie; Kotagiri Ramamohanarao (PM2HW2N, 2008)

CPU-based DoS attacks against SIP servers. - Ming Luo; Tao Peng 002; Christopher Leckie (NOMS, 2008)

Relieving hot spots in collaborative intrusion detection systems during worm outbreaks. - Chenfeng Vincent Zhou; Shanika Karunasekera; Christopher Leckie (NOMS, 2008)

Characteristic-Based Descriptors for Motion Sequence Recognition. - Liang Wang 001; Xiaozhe Wang; Christopher Leckie; Kotagiri Ramamohanarao (PAKDD, 2008)

Selective sampling for approximate clustering of very large data sets. - Liang Wang 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (Int. J. Intell. Syst., 2008)

Discovering correlated spatio-temporal changes in evolving graphs. - Jeffrey Chan; James Bailey 001; Christopher Leckie (Knowl. Inf. Syst., 2008)

An Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis. - Abdun Naser Mahmood; Christopher Leckie; Parampalli Udaya (IEEE Trans. Knowl. Data Eng., 2008)

Anomaly detection in wireless sensor networks. - Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami (IEEE Wirel. Commun., 2008)

Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis. - Laurence Anthony F. Park; Christopher Leckie; Kotagiri Ramamohanarao; James C. Bezdek (Australasian Conference on Artificial Intelligence, 2009)

A Query Based Approach for Mining Evolving Graphs. - Andrey Kan; Jeffrey Chan; James Bailey 001; Christopher Leckie (AusDM, 2009)

Visualization of clusters in very large rectangular dissimilarity data. - Laurence Anthony F. Park; James C. Bezdek; Christopher Leckie (ICARA, 2009)

Characterising the Evolution in Scanning Activity of Suspicious Hosts. - Alif Wahid; Christopher Leckie; Chenfeng Vincent Zhou (NSS, 2009)

Approximate Spectral Clustering. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao; James C. Bezdek (PAKDD, 2009)

Action recognition via multi-feature fusion and Gaussian process classification. - Liang Wang 001; Hang Zhou 005; Sui-Chien Low; Christopher Leckie (WACV, 2009)

Protecting SIP server from CPU-based DoS attacks using history-based IP filtering. - Chenfeng Vincent Zhou; Christopher Leckie; Kotagiri Ramamohanarao (IEEE Commun. Lett., 2009)

Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. - Jeffrey Chan; James Bailey 001; Christopher Leckie (Intell. Data Anal., 2009)

Decentralized multi-dimensional alert correlation for collaborative intrusion detection. - Chenfeng Vincent Zhou; Christopher Leckie; Shanika Karunasekera (J. Netw. Comput. Appl., 2009)

Collaborative Detection of Fast Flux Phishing Domains. - Chenfeng Vincent Zhou; Christopher Leckie; Shanika Karunasekera (J. Networks, 2009)

Automatically Determining the Number of Clusters in Unlabeled Data Sets. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao; James C. Bezdek (IEEE Trans. Knowl. Data Eng., 2009)

Elliptical anomalies in wireless sensor networks. - Sutharshan Rajasegarar; James C. Bezdek; Christopher Leckie; Marimuthu Palaniswami (ACM Trans. Sens. Networks, 2009)

Clustering elliptical anomalies in sensor networks. - James C. Bezdek; Timothy C. Havens; James M. Keller; Christopher Leckie; Laurence Anthony F. Park (FUZZ-IEEE, 2010)

Action Recognition Using Space-Time Shape Difference Images. - Hao Qu; Liang Wang 001; Christopher Leckie (ICPR, 2010)

Encoding Actions via Quantized Vocabulary of Averaged Silhouettes. - Liang Wang 001; Christopher Leckie (ICPR, 2010)

Combining Real and Virtual Graphs to Enhance Data Clustering. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao (ICPR, 2010)

Sensor data boundary estimation for anomaly detection in wireless sensor networks. - Shan Suthaharan; Christopher Leckie; Masud Moshtaghi; Shanika Karunasekera; Sutharshan Rajasegarar (MASS, 2010)

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

iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. - Liang Wang 001; Uyen T. V. Nguyen; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (PAKDD (1), 2010)

Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations. - Gerard Wong; Christopher Leckie; Kylie L. Gorringe; Izhak Haviv; Ian G. Campbell; Adam Kowalczyk (Bioinform., 2010)

A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer. - Fan Shi; Christopher Leckie; Geoff MacIntyre; Izhak Haviv; Alex Boussioutas; Adam Kowalczyk (BMC Bioinform., 2010)

A survey of coordinated attacks and collaborative intrusion detection. - Chenfeng Vincent Zhou; Christopher Leckie; Shanika Karunasekera (Comput. Secur., 2010)

Critical infrastructure protection: Resource efficient sampling to improve detection of less frequent patterns in network traffic. - Abdun Naser Mahmood; Jiankun Hu; Zahir Tari; Christopher Leckie (J. Netw. Comput. Appl., 2010)

Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks. - Sutharshan Rajasegarar; Christopher Leckie; James C. Bezdek; Marimuthu Palaniswami (IEEE Trans. Inf. Forensics Secur., 2010)

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. - Liang Wang 001; Xin Geng 001; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao (IEEE Trans. Knowl. Data Eng., 2010)

Network Traffic Analysis and SCADA Security. - Abdun Naser Mahmood; Christopher Leckie; Jiankun Hu; Zahir Tari; Mohammed Atiquzzaman (Handbook of Information and Communication Security, 2010)

Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. - Masud Moshtaghi; Christopher Leckie; Shanika Karunasekera; James C. Bezdek; Sutharshan Rajasegarar; Marimuthu Palaniswami (ICDM, 2011)

An efficient approach to detecting concept-evolution in network data streams. - Sarah M. Erfani; Sutharshan Rajasegarar; Christopher Leckie (ATNAC, 2011)

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

Anomaly Detection in Environmental Monitoring Networks [Application Notes]. - James C. Bezdek; Sutharshan Rajasegarar; Masud Moshtaghi; Christopher Leckie; Marimuthu Palaniswami; Timothy C. Havens (IEEE Comput. Intell. Mag., 2011)

Self-similar characteristics of network intrusion attempts and the implications for predictability. - Alif Wahid; Christopher Leckie; Chenfeng Vincent Zhou (Concurr. Comput. Pract. Exp., 2011)

Spatio-temporal modelling-based drift-aware wireless sensor networks. - Maen Takruri; Sutharshan Rajasegarar; Subhash Challa; Christopher Leckie; Marimuthu Palaniswami (IET Wirel. Sens. Syst., 2011)

Clustering ellipses for anomaly detection. - Masud Moshtaghi; Timothy C. Havens; James C. Bezdek; Laurence Anthony F. Park; Christopher Leckie; Sutharshan Rajasegarar; James M. Keller; Marimuthu Palaniswami (Pattern Recognit., 2011)

An efficient hyperellipsoidal clustering algorithm for resource-constrained environments. - Masud Moshtaghi; Sutharshan Rajasegarar; Christopher Leckie; Shanika Karunasekera (Pattern Recognit., 2011)

Approximate pairwise clustering for large data sets via sampling plus extension. - Liang Wang 001; Christopher Leckie; Kotagiri Ramamohanarao; James C. Bezdek (Pattern Recognit., 2011)

An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries. - Wei Liu 007; Sanjay Chawla; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao (Australasian Conference on Artificial Intelligence, 2012)

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs. - Wei Liu 007; Jeffrey Chan; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao (CIKM, 2012)

On compressing weighted time-evolving graphs. - Wei Liu 007; Andrey Kan; Jeffrey Chan; James Bailey 001; Christopher Leckie; Jian Pei 001; Kotagiri Ramamohanarao (CIKM, 2012)

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 (IJCNN, 2012)

SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs. - Jeffrey Chan; Wei Liu 007; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (KDD, 2012)

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

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

Improved Gaussian process classification via feature space rotation. - Liang Wang 001; Christopher Leckie (Neurocomputing, 2012)

AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. - Sergey Demyanov; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie (ACML, 2012)

Fuzzy c-Means Algorithms for Very Large Data. - Timothy C. Havens; James C. Bezdek; Christopher Leckie; Lawrence O. Hall; Marimuthu Palaniswami (IEEE Trans. Fuzzy Syst., 2012)

ciForager: Incrementally discovering regions of correlated change in evolving graphs. - Jeffrey Chan; James Bailey 001; Christopher Leckie; Michael E. Houle (ACM Trans. Knowl. Discov. Data, 2012)

clusiVAT: A mixed visual/numerical clustering algorithm for big data. - Dheeraj Kumar; Marimuthu Palaniswami; Sutharshan Rajasegarar; Christopher Leckie; James C. Bezdek; Timothy C. Havens (IEEE BigData, 2013)

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation. - Jeffrey Chan; Wei Liu 007; Andrey Kan; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (CIKM, 2013)

Clustering and visualization of fuzzy communities in social networks. - Timothy C. Havens; James C. Bezdek; Christopher Leckie; Jeffrey Chan; Wei Liu 007; James Bailey 001; Kotagiri Ramamohanarao; Marimuthu Palaniswami (FUZZ-IEEE, 2013)

Extension of iVAT to asymmetric matrices. - Timothy C. Havens; James C. Bezdek; Christopher Leckie; Marimuthu Palaniswami (FUZZ-IEEE, 2013)

Security Games for Virtual Machine Allocation in Cloud Computing. - Yi Han 003; Tansu Alpcan; Jeffrey Chan; Christopher Leckie (GameSec, 2013)

Applications of Class-Conditional Conformal Predictor in Multi-class Classification. - Fan Shi; Cheng Soon Ong; Christopher Leckie (ICMLA (1), 2013)

Privacy-preserving data aggregation in Participatory Sensing Networks. - Sarah M. Erfani; Shanika Karunasekera; Christopher Leckie; Udaya Parampalli (ISSNIP, 2013)

A Bayesian Classifier for Learning from Tensorial Data. - Wei Liu 007; Jeffrey Chan; James Bailey 001; Christopher Leckie; Fang Chen 001; Kotagiri Ramamohanarao (ECML/PKDD (2), 2013)

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. - James Bailey 001; Jeffrey Chan; Kotagiri Ramamohanarao; Christopher Leckie; Wei Liu 007 (SDM, 2013)

Analysing Virtual Machine Usage in Cloud Computing. - Yi Han 003; Jeffrey Chan; Christopher Leckie (SERVICES, 2013)

Measures for ranking cell trackers without manual validation. - Andrey Kan; Christopher Leckie; James Bailey 001; John Markham; Rajib Chakravorty (Pattern Recognit., 2013)

A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks. - Timothy C. Havens; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao; Marimuthu Palaniswami (IEEE Trans. Fuzzy Syst., 2013)

A time decoupling approach for studying forum dynamics. - Andrey Kan; Jeffrey Chan; Conor Hayes; Bernie Hogan; James Bailey 001; Christopher Leckie (World Wide Web, 2013)

Spatial Partitioning of Large Urban Road Networks. - Tarique Anwar; Chengfei Liu; Hai Le Vu; Christopher Leckie (EDBT, 2014)

Virtual machine allocation policies against co-resident attacks in cloud computing. - Yi Han 003; Jeffrey Chan; Tansu Alpcan; Christopher Leckie (ICC, 2014)

Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks. - Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami (ICC, 2014)

TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs. - Jeffrey Chan; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (ICDM, 2014)

Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy. - Liyan Liu; Andrey Kan; Jie H. S. Zhou; John F. Markham; Philip D. Hodgkin; Christopher Leckie (ICDM Workshops, 2014)

High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks. - Sutharshan Rajasegarar; Peng Zhang; Yang Zhou; Shanika Karunasekera; Christopher Leckie; Marimuthu Palaniswami (ISSNIP, 2014)

Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring. - Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie; Michele Nati; Alexander Gluhak; Muhammad Ali Imran 001; Marimuthu Palaniswami (ISSNIP, 2014)

Using trajectory features for upper limb action recognition. - Xiaoting Wang; Sofia Suvorova; Tharshan Vaithianathan; Christopher Leckie (ISSNIP, 2014)

Smart car parking: Temporal clustering and anomaly detection in urban car parking. - Yanxu Zheng; Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami (ISSNIP, 2014)

Structure-Aware Distance Measures for Comparing Clusterings in Graphs. - Jeffrey Chan; Xuan Vinh Nguyen; Wei Liu 007; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Jian Pei 001 (PAKDD (1), 2014)

Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing. - Sarah M. Erfani; Yee Wei Law; Shanika Karunasekera; Christopher Leckie; Marimuthu Palaniswami (PAKDD (1), 2014)

A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams. - Mahsa Salehi; Christopher A. Leckie; Masud Moshtaghi; Tharshan Vaithianathan (PAKDD (2), 2014)

LICRE: unsupervised feature correlation reduction for lipidomics. - Gerard Wong; Jeffrey Chan; Bronwyn A. Kingwell; Christopher Leckie; Peter J. Meikle (Bioinform., 2014)

An adaptive elliptical anomaly detection model for wireless sensor networks. - Masud Moshtaghi; Christopher Leckie; Shanika Karunasekera; Sutharshan Rajasegarar (Comput. Networks, 2014)

Estimating the number of hosts corresponding to an intrusion alert while preserving privacy. - Alif Wahid; Christopher Leckie; Chenfeng Vincent Zhou (J. Comput. Syst. Sci., 2014)

Hyperspherical cluster based distributed anomaly detection in wireless sensor networks. - Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami (J. Parallel Distributed Comput., 2014)

Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks. - Sutharshan Rajasegarar; Alexander Gluhak; Muhammad Ali Imran 001; Michele Nati; Masud Moshtaghi; Christopher Leckie; Marimuthu Palaniswami (Pattern Recognit., 2014)

High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors. - Sutharshan Rajasegarar; Timothy C. Havens; Shanika Karunasekera; Christopher Leckie; James C. Bezdek; Milan Jamriska; Ajith Gunatilaka; Alex Skvortsov; Marimuthu Palaniswami (IEEE Trans. Geosci. Remote. Sens., 2014)

Streaming analysis in wireless sensor networks. - Masud Moshtaghi; James C. Bezdek; Timothy C. Havens; Christopher Leckie; Shanika Karunasekera; Sutharshan Rajasegarar; Marimuthu Palaniswami (Wirel. Commun. Mob. Comput., 2014)

R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection. - Sarah M. Erfani; Mahsa Baktashmotlagh; Sutharshan Rajasegarar; Shanika Karunasekera; Christopher Leckie (AAAI, 2015)

Traffic forecasting in complex urban networks: Leveraging big data and machine learning. - Florin Schimbinschi; Xuan Vinh Nguyen; James Bailey 001; Christopher Leckie; Hai Le Vu; Rao Kotagiri (IEEE BigData, 2015)

Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment. - Minh Tuan Doan; Sutharshan Rajasegarar; Mahsa Salehi; Masud Moshtaghi; Christopher Leckie (CIKM, 2015)

Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints. - Kwan Hui Lim 001; Jeffrey Chan; Christopher Leckie; Shanika Karunasekera (ECIR, 2015)

Pattern based anomalous user detection in cognitive radio networks. - Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami (ICASSP, 2015)

Detection of Deception in the Mafia Party Game. - Sergey Demyanov; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie (ICMI, 2015)

Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions. - Rajkumar Buyya; Kotagiri Ramamohanarao; Christopher Leckie; Rodrigo N. Calheiros; Amir Vahid Dastjerdi; Steven Versteeg (ICPADS, 2015)

Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations. - Kwan Hui Lim 001; Jeffrey Chan; Christopher Leckie; Shanika Karunasekera (IJCAI, 2015)

Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper. - Mahsa Salehi; Christopher Leckie; James C. Bezdek; Tharshan Vaithianathan (ISSNIP, 2015)

Parking availability prediction for sensor-enabled car parks in smart cities. - Yanxu Zheng; Sutharshan Rajasegarar; Christopher Leckie (ISSNIP, 2015)

An Embedding Scheme for Detecting Anomalous Block Structured Graphs. - Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie (PAKDD (2), 2015)

Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. - Xuan Vinh Nguyen; Jeffrey Chan; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Jian Pei 001 (PAKDD (2), 2015)

Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data. - Xiaoting Wang; Christopher Leckie; Hairuo Xie; Tharshan Vaithianathan (PAKDD (1), 2015)

DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment. - Alistair Shilton; Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami (RIoT, 2015)

Assessing network energy consumption of mobile applications. - Chien Aun Chan; Wenwen Li; Sen Bian; Chih-Lin I; André F. Gygax; Christopher Leckie; Ming Yan 005; Kerry Hinton (IEEE Commun. Mag., 2015)

Invariant backpropagation: how to train a transformation-invariant neural network. - Sergey Demyanov; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie (CoRR, 2015)

Ranking cell tracking systems without manual validation. - Andrey Kan; John Markham; Rajib Chakravorty; James Bailey 001; Christopher Leckie (Pattern Recognit. Lett., 2015)

Evolving Fuzzy Rules for Anomaly Detection in Data Streams. - Masud Moshtaghi; James C. Bezdek; Christopher Leckie; Shanika Karunasekera; Marimuthu Palaniswami (IEEE Trans. Fuzzy Syst., 2015)

Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning. - Timothy Glennan; Christopher Leckie; Sarah M. Erfani (ACISP (2), 2016)

Towards Next Generation Touring: Personalized Group Tours. - Kwan Hui Lim 001; Jeffrey Chan; Christopher Leckie; Shanika Karunasekera (ICAPS, 2016)

Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection. - Mahsa Salehi; Xuyun Zhang; James C. Bezdek; Christopher Leckie (Australasian Conference on Artificial Intelligence, 2016)

Large-scale strategic games and adversarial machine learning. - Tansu Alpcan; Benjamin I. P. Rubinstein; Christopher Leckie (CDC, 2016)

Improving Personalized Trip Recommendation by Avoiding Crowds. - Xiaoting Wang; Christopher Leckie; Jeffrey Chan; Kwan Hui Lim 001; Tharshan Vaithianathan (CIKM, 2016)

Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation. - Xuyun Zhang; Christopher Leckie; Wanchun Dou; Jinjun Chen; Kotagiri Ramamohanarao; Zoran Salcic (CIKM, 2016)

PersTour: A Personalized Tour Recommendation and Planning System. - Kwan Hui Lim 001; Xiaoting Wang; Jeffrey Chan; Shanika Karunasekera; Christopher Leckie; Yehui Chen; Cheong Loong Tan; Fu Quan Gao; Teh Ken Wee (HT (Extended Proceedings), 2016)

Training robust models using Random Projection. - Xuan Vinh Nguyen; Sarah M. Erfani; Sakrapee Paisitkriangkrai; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao (ICPR, 2016)

Trajectory Pattern Identification and Anomaly Detection of Pedestrian Flows Based on Visual Clustering. - Li Li 083; Christopher Leckie (IIP, 2016)

Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features. - Meng Yang 007; Sutharshan Rajasegarar; Aravinda S. Rao; Christopher Leckie; Marimuthu Palaniswami (IIP, 2016)

Robust Domain Generalisation by Enforcing Distribution Invariance. - Sarah M. Erfani; Mahsa Baktashmotlagh; Masud Moshtaghi; Vinh Nguyen; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (IJCAI, 2016)

Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM. - Zahra Ghafoori; Sarah M. Erfani; Sutharshan Rajasegarar; Shanika Karunasekera; Christopher A. Leckie (IJCNN, 2016)

Detecting unseen anomalies in weight training exercises. - Yousef Kowsar; Masud Moshtaghi; Eduardo Velloso; Lars Kulik; Christopher Leckie (OZCHI, 2016)

Unsupervised Parameter Estimation for One-Class Support Vector Machines. - Zahra Ghafoori; Sutharshan Rajasegarar; Sarah M. Erfani; Shanika Karunasekera; Christopher A. Leckie (PAKDD (2), 2016)

Pedestrian behaviour analysis using the microsoft kinect. - Junying Chen; Sutharshan Rajasegarar; Christopher Leckie; André F. Gygax (PerCom Workshops, 2016)

An improved scheme for privacy-preserving collaborative anomaly detection. - Lingjuan Lyu; Yee Wei Law; Sarah M. Erfani; Christopher Leckie; Marimuthu Palaniswami (PerCom Workshops, 2016)

Efficient query processing on road traffic network. - Masoomeh Zameni; Masud Moshtaghi; Christopher Leckie (PerCom Workshops, 2016)

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. - Lida Rashidi; Andrey Kan; James Bailey 001; Jeffrey Chan; Christopher Leckie; Wei Liu 007; Sutharshan Rajasegarar; Kotagiri Ramamohanarao (ECML/PKDD (2), 2016)

R1STM: One-class Support Tensor Machine with Randomised Kernel. - Sarah M. Erfani; Mahsa Baktashmotlagh; Sutharshan Rajasegarar; Vinh Nguyen; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (SDM, 2016)

Online Clustering of Multivariate Time-series. - Masud Moshtaghi; Christopher Leckie; James C. Bezdek (SDM, 2016)

Discovering outlying aspects in large datasets. - Xuan Vinh Nguyen; Jeffrey Chan; Simone Romano 003; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Jian Pei 001 (Data Min. Knowl. Discov., 2016)

Network Energy Consumption Assessment of Conventional Mobile Services and Over-the-Top Instant Messaging Applications. - Ming Yan 005; Chien Aun Chan; Wenwen Li; Chih-Lin I; Sen Bian; André F. Gygax; Christopher Leckie; Kerry Hinton; Elaine Wong 001; Ampalavanapillai Nirmalathas (IEEE J. Sel. Areas Commun., 2016)

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. - Sarah M. Erfani; Sutharshan Rajasegarar; Shanika Karunasekera; Christopher Leckie (Pattern Recognit., 2016)

A Hybrid Approach to Clustering in Big Data. - Dheeraj Kumar; James C. Bezdek; Marimuthu Palaniswami; Sutharshan Rajasegarar; Christopher Leckie; Timothy Craig Havens (IEEE Trans. Cybern., 2016)

The Generalized C Index for Internal Fuzzy Cluster Validity. - James C. Bezdek; Masud Moshtaghi; Thomas A. Runkler; Christopher Leckie (IEEE Trans. Fuzzy Syst., 2016)

A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning. - Yi Han 003; Tansu Alpcan; Jeffrey Chan; Christopher Leckie; Benjamin I. P. Rubinstein (IEEE Trans. Inf. Forensics Secur., 2016)

Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data. - Dheeraj Kumar; James C. Bezdek; Sutharshan Rajasegarar; Marimuthu Palaniswami; Christopher Leckie; Jeffrey Chan; Jayavardhana Gubbi (ACM Trans. Knowl. Discov. Data, 2016)

Visual Assessment of Clustering Tendency for Incomplete Data. - Laurence Anthony F. Park; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao; James Bailey 001; Marimuthu Palaniswami (IEEE Trans. Knowl. Data Eng., 2016)

Fast Memory Efficient Local Outlier Detection in Data Streams. - Mahsa Salehi; Christopher Leckie; James C. Bezdek; Tharshan Vaithianathan; Xuyun Zhang (IEEE Trans. Knowl. Data Eng., 2016)

From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. - Sarah M. Erfani; Mahsa Baktashmotlagh; Masud Moshtaghi; Vinh Nguyen; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (AAAI, 2017)

Distributed Detection of Zero-Day Network Traffic Flows. - Yuantian Miao; Lei Pan 002; Sutharshan Rajasegarar; Jun Zhang 010; Christopher Leckie; Yang Xiang 001 (AusDM, 2017)

Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. - Elaheh Alipour Chavary; Sarah M. Erfani; Christopher Leckie (CIKM, 2017)

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. - Fateme Fahiman; James C. Bezdek; Sarah M. Erfani; Marimuthu Palaniswami; Christopher Leckie (FUZZ-IEEE, 2017)

An efficient visual assessment of cluster tendency tool for large-scale time series data sets. - Timothy B. Iredale; Sarah M. Erfani; Christopher Leckie (FUZZ-IEEE, 2017)

An Efficient Method for Anomaly Detection in Non-Stationary Data Streams. - Milad Chenaghlou; Masud Moshtaghi; Christopher Leckie; Mahsa Salehi (GLOBECOM, 2017)

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). - Mahsa Salehi; Christopher Leckie; James C. Bezdek; Tharshan Vaithianathan; Xuyun Zhang (ICDE, 2017)

LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis. - Xuyun Zhang; Wan-Chun Dou; Qiang He 001; Rui Zhou 001; Christopher Leckie; Kotagiri Ramamohanarao; Zoran A. Salcic (ICDE, 2017)

A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data. - Li Li 083; Sarah M. Erfani; Christopher Leckie (ICDM Workshops, 2017)

Improving load forecasting based on deep learning and K-shape clustering. - Fateme Fahiman; Sarah M. Erfani; Sutharshan Rajasegarar; Marimuthu Palaniswami; Christopher Leckie (IJCNN, 2017)

Clustering Aided Support Vector Machines. - Goce Ristanoski; Rahul Soni; Sutharshan Rajasegarar; James Bailey 001; Christopher Leckie (MLDM, 2017)

Personalized Itinerary Recommendation with Queuing Time Awareness. - Kwan Hui Lim 001; Jeffrey Chan; Shanika Karunasekera; Christopher Leckie (SIGIR, 2017)

On the effectiveness of isolation-based anomaly detection in cloud data centers. - Rodrigo N. Calheiros; Kotagiri Ramamohanarao; Rajkumar Buyya; Christopher Leckie; Steve Versteeg (Concurr. Comput. Pract. Exp., 2017)

Toward the Starting Line: A Systems Engineering Approach to Strong AI. - Tansu Alpcan; Sarah M. Erfani; Christopher Leckie (CoRR, 2017)

Linear system security - detection and correction of adversarial attacks in the noise-free case. - Zhanghan Tang; Margreta Kuijper; Michelle Chong; Iven Mareels; Christopher Leckie (CoRR, 2017)

Exponentially Weighted Ellipsoidal Model for Anomaly Detection. - Masud Moshtaghi; Sarah M. Erfani; Christopher Leckie; James C. Bezdek (Int. J. Intell. Syst., 2017)

Partitioning road networks using density peak graphs: Efficiency vs. accuracy. - Tarique Anwar; Chengfei Liu; Hai Le Vu; Christopher Leckie (Inf. Syst., 2017)

Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing. - Yi Han 003; Jeffrey Chan; Tansu Alpcan; Christopher Leckie (IEEE Trans. Dependable Secur. Comput., 2017)

A visual-numeric approach to clustering and anomaly detection for trajectory data. - Dheeraj Kumar; James C. Bezdek; Sutharshan Rajasegarar; Christopher Leckie; Marimuthu Palaniswami (Vis. Comput., 2017)

Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data. - Minh Tuan Doan; Jianzhong Qi 001; Sutharshan Rajasegarar; Christopher Leckie (IEEE BigData, 2018)

Crowd Activity Change Point Detection in Videos via Graph Stream Mining. - Meng Yang 007; Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie; Aravinda S. Rao; Marimuthu Palaniswami (CVPR Workshops, 2018)

Cluster-Based Crowd Movement Behavior Detection. - Meng Yang 007; Lida Rashidi; Aravinda S. Rao; Sutharshan Rajasegarar; Mohadeseh Ganji; Marimuthu Palaniswami; Christopher Leckie (DICTA, 2018)

Reinforcement Learning for Autonomous Defence in Software-Defined Networking. - Yi Han 003; Benjamin I. P. Rubinstein; Tamas Abraham; Tansu Alpcan; Olivier Y. de Vel; Sarah M. Erfani; David Hubczenko; Christopher Leckie; Paul Montague (GameSec, 2018)

Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks. - Sandamal Weerasinghe; Tansu Alpcan; Sarah M. Erfani; Christopher Leckie; Peyam Pourbeik; Jack Riddle (GameSec, 2018)

Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. - Sandamal Weerasinghe; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie; Jack Riddle (LCN, 2018)

Online Clustering for Evolving Data Streams with Online Anomaly Detection. - Milad Chenaghlou; Masud Moshtaghi; Christopher Leckie; Mahsa Salehi (PAKDD (2), 2018)

Semi-supervised Blockmodelling with Pairwise Guidance. - Mohadeseh Ganji; Jeffrey Chan; Peter J. Stuckey; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Laurence A. F. Park (ECML/PKDD (2), 2018)

Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability. - Masoomeh Zameni; Mengyi He; Masud Moshtaghi; Zahra Ghafoori; Christopher Leckie; James C. Bezdek; Kotagiri Ramamohanarao (ECML/PKDD (3), 2018)

Graph Stream Mining Based Anomalous Event Analysis. - Meng Yang 007; Lida Rashidi; Sutharshan Rajasegarar; Christopher Leckie (PRICAI (1), 2018)

Image Constrained Blockmodelling: A Constraint Programming Approach. - Mohadeseh Ganji; Jeffrey Chan; Peter J. Stuckey; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Ian Davidson (SDM, 2018)

Estimating Generalized Dunn's Cluster Validity Indices for Big Data. - Punit Rathore; Zahra Ghafoori; James C. Bezdek; Marimuthu Palaniswami; Christopher Leckie (SMC, 2018)

Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection. - Xuyun Zhang; Mahsa Salehi; Christopher Leckie; Yun Luo; Qiang He 001; Rui Zhou 001; Rao Kotagiri (WISE (2), 2018)

Online Cluster Validity Indices for Streaming Data. - Masud Moshtaghi; James C. Bezdek; Sarah M. Erfani; Christopher Leckie; James Bailey 001 (CoRR, 2018)

Dealing with Inliers in Feature Vector Data. - Dheeraj Kumar; Zahra Ghafoori; James C. Bezdek; Christopher Leckie; Kotagiri Ramamohanarao; Marimuthu Palaniswami (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018)

Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. - Kwan Hui Lim 001; Jeffrey Chan; Christopher Leckie; Shanika Karunasekera (Knowl. Inf. Syst., 2018)

Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility. - Dheeraj Kumar; Huayu Wu 001; Sutharshan Rajasegarar; Christopher Leckie; Shonali Krishnaswamy; Marimuthu Palaniswami (IEEE Trans. Intell. Transp. Syst., 2018)

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. - Zahra Ghafoori; Sarah M. Erfani; Sutharshan Rajasegarar; James C. Bezdek; Shanika Karunasekera; Christopher Leckie (IEEE Trans. Neural Networks Learn. Syst., 2018)

Online K-Means Clustering with Lightweight Coresets. - Jia Shun Low; Zahra Ghafoori; Christopher Leckie (Australasian Conference on Artificial Intelligence, 2019)

Seeding on Samples for Accelerating K-Means Clustering. - Jia Shun Low; Zahra Ghafoori; James C. Bezdek; Christopher Leckie (BDIOT, 2019)

Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification. - Yi Han 003; Shanika Karunasekera; Christopher Leckie; Aaron Harwood (IEEE BigData, 2019)

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity. - Amila Silva; Shanika Karunasekera; Christopher Leckie; Ling Luo 002 (IEEE BigData, 2019)

Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. - Li Li 083; Sarah M. Erfani; Chien Aun Chan; Christopher Leckie (CIKM, 2019)

An Investigation into Prediction + Optimisation for the Knapsack Problem. - Emir Demirovic; Peter J. Stuckey; James Bailey 001; Jeffrey Chan; Chris Leckie; Kotagiri Ramamohanarao; Tias Guns (CPAIOR, 2019)

Change Point Detection for Streaming High-Dimensional Time Series. - Masoomeh Zameni; Zahra Ghafoori; Amin Sadri; Christopher Leckie; Kotagiri Ramamohanarao (DASFAA (3), 2019)

LiftSmart: a monitoring and warning wearable for weight trainers. - Yousef Kowsar; Eduardo Velloso; Lars Kulik; Christopher Leckie (UbiComp/ISWC Adjunct, 2019)

Big Data Driven Predictive Caching at the Wireless Edge. - Chien Aun Chan; Ming Yan 005; André F. Gygax; Wenwen Li; Li Li 083; Chih-Lin I; Jinyao Yan; Christopher Leckie (ICC Workshops, 2019)

Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. - Emir Demirovic; Peter J. Stuckey; James Bailey 001; Jeffrey Chan; Christopher Leckie; Kotagiri Ramamohanarao; Tias Guns (IJCAI, 2019)

Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. - Fateme Fahiman; Sarah M. Erfani; Christopher Leckie (IJCNN, 2019)

Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. - Li Li 083; Chien Aun Chan; Sarah M. Erfani; Christopher Leckie (IJCNN, 2019)

Deep Learning and One-class SVM based Anomalous Crowd Detection. - Meng Yang 007; Sutharshan Rajasegarar; Sarah M. Erfani; Christopher Leckie (IJCNN, 2019)

Improving the Quality of Explanations with Local Embedding Perturbations. - Yunzhe Jia; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie; Michael E. Houle (KDD, 2019)

Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. - Zahra Ghafoori; James C. Bezdek; Christopher Leckie; Shanika Karunasekera (ECML/PKDD (1), 2019)

P-Gram: Positional N-Gram for the Clustering of Machine-Generated Messages. - Jiaojiao Jiang; Steve Versteeg; Jun Han 004; Md. Arafat Hossain; Jean-Guy Schneider; Christopher Leckie; Zeinab Farahmandpour (IEEE Access, 2019)

Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case. - Zhanghan Tang; Margreta Kuijper; Michelle S. Chong; Iven Mareels; Christopher Leckie (Autom., 2019)

Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. - Yi Han 003; David Hubczenko; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Benjamin I. P. Rubinstein; Christopher Leckie; Tansu Alpcan; Sarah M. Erfani (CoRR, 2019)

Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams. - Yi Han 003; Shanika Karunasekera; Christopher Leckie; Aaron Harwood (CoRR, 2019)

Online cluster validity indices for performance monitoring of streaming data clustering. - Masud Moshtaghi; James C. Bezdek; Sarah M. Erfani; Christopher Leckie; James Bailey 001 (Int. J. Intell. Syst., 2019)

Tour recommendation and trip planning using location-based social media: a survey. - Kwan Hui Lim 001; Jeffrey Chan; Shanika Karunasekera; Christopher Leckie (Knowl. Inf. Syst., 2019)

Support vector machines resilient against training data integrity attacks. - Sandamal Weerasinghe; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie (Pattern Recognit., 2019)

Approximating Dunn's Cluster Validity Indices for Partitions of Big Data. - Punit Rathore; Zahra Ghafoori; James C. Bezdek; Marimuthu Palaniswami; Christopher Leckie (IEEE Trans. Cybern., 2019)

Dynamic Programming for Predict+Optimise. - Emir Demirovic; Peter J. Stuckey; Tias Guns; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Jeffrey Chan (AAAI, 2020)

Invertible Generative Modeling using Linear Rational Splines. - Hadi Mohaghegh Dolatabadi; Sarah M. Erfani; Christopher Leckie (AISTATS, 2020)

Embedding Partial Propagation Network for Fake News Early Detection. - Amila Silva; Yi Han 003; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (CIKM (Workshops), 2020)

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. - Amila Silva; Shanika Karunasekera; Christopher Leckie; Ling Luo 002 (CIKM, 2020)

Distributed Generative Adversarial Networks for Anomaly Detection. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (GameSec, 2020)

Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction. - Jiaman Ma; Jeffrey Chan; Sutharshan Rajasegarar; Goce Ristanoski; Christopher Leckie (ICDM, 2020)

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. - Yi Han 003; David Hubczenko; Paul Montague; Olivier Y. de Vel; Tamas Abraham; Benjamin I. P. Rubinstein; Christopher Leckie; Tansu Alpcan; Sarah M. Erfani (IJCNN, 2020)

Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. - Li Li 083; Sarah M. Erfani; Chien Aun Chan; Christopher Leckie (IJCNN, 2020)

Improving Single and Multi-View Blockmodelling by Algebraic Simplification. - Rishabh Ramteke; Peter J. Stuckey; Jeffrey Chan; Kotagiri Ramamohanarao; James Bailey 001; Christopher Leckie; Emir Demirovic (IJCNN, 2020)

Evaluation of Centralised vs Distributed Collaborative Intrusion Detection Systems in Multi-Access Edge Computing. - Rahul Sharma; Chien Aun Chan; Christopher Leckie (Networking, 2020)

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. - Hadi Mohaghegh Dolatabadi; Sarah M. Erfani; Christopher Leckie (NeurIPS, 2020)

Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams. - Yi Han 003; Shanika Karunasekera; Christopher Leckie (PAKDD (1), 2020)

OMBA: User-Guided Product Representations for Online Market Basket Analysis. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (ECML/PKDD (1), 2020)

Deep Multi-sphere Support Vector Data Description. - Zahra Ghafoori; Christopher Leckie (SDM, 2020)

Black-box Adversarial Example Generation with Normalizing Flows. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (CoRR, 2020)

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media. - Yi Han 003; Shanika Karunasekera; Christopher Leckie (CoRR, 2020)

MurTree: Optimal Classification Trees via Dynamic Programming and Search. - Emir Demirovic; Anna Lukina; Emmanuel Hebrard; Jeffrey Chan; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Peter J. Stuckey (CoRR, 2020)

Defending Regression Learners Against Poisoning Attacks. - Sandamal Weerasinghe; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie; Justin Kopacz (CoRR, 2020)

Defending Distributed Classifiers Against Data Poisoning Attacks. - Sandamal Weerasinghe; Tansu Alpcan; Sarah M. Erfani; Christopher Leckie (CoRR, 2020)

Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns. - Elaheh Alipour Chavary; Sarah M. Erfani; Christopher Leckie (CoRR, 2020)

Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. - Ali Ugur Guler; Emir Demirovic; Jeffrey Chan; James Bailey 001; Christopher Leckie; Peter J. Stuckey (CoRR, 2020)

Exploiting patterns to explain individual predictions. - Yunzhe Jia; James Bailey 001; Kotagiri Ramamohanarao; Christopher Leckie; Xingjun Ma (Knowl. Inf. Syst., 2020)

Unsupervised online change point detection in high-dimensional time series. - Masoomeh Zameni; Amin Sadri; Zahra Ghafoori; Masud Moshtaghi; Flora D. Salim; Christopher Leckie; Kotagiri Ramamohanarao (Knowl. Inf. Syst., 2020)

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. - Zahra Ghafoori; Sarah M. Erfani; James C. Bezdek; Shanika Karunasekera; Christopher Leckie (IEEE Trans. Knowl. Data Eng., 2020)

Evaluation of Collaborative Intrusion Detection System Architectures in Mobile Edge Computing. - Rahul Sharma; Chien Aun Chan; Christopher Leckie (Mobile Edge Computing, 2021)

Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (AAAI, 2021)

Scalable Contrast Pattern Mining over Data Streams. - Elaheh Alipour Chavary; Sarah M. Erfani; Christopher Leckie (CIKM, 2021)

Continual Learning for Fake News Detection from Social Media. - Yi Han 003; Shanika Karunasekera; Christopher Leckie (ICANN (2), 2021)

Privacy-Preserving Collaborative SDR Networks for Anomaly Detection. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (ICC, 2021)

Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. - Sandamal Weerasinghe; Tamas Abraham; Tansu Alpcan; Sarah M. Erfani; Christopher Leckie; Benjamin I. P. Rubinstein (IJCAI, 2021)

Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. - Elaheh Alipour Chavary; Sarah M. Erfani; Christopher Leckie (IJCNN, 2021)

A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. - Qizhou Wang 001; Sarah M. Erfani; Christopher Leckie; Michael E. Houle (SDM, 2021)

Knowledge Enhanced Multi-modal Fake News Detection. - Yi Han 003; Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (CoRR, 2021)

Local Intrinsic Dimensionality Signals Adversarial Perturbations. - Sandamal Weerasinghe; Tansu Alpcan; Sarah M. Erfani; Christopher Leckie; Benjamin I. P. Rubinstein (CoRR, 2021)

Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection. - Amila Silva; Yi Han 003; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (Inf. Process. Manag., 2021)

Defending Support Vector Machines Against Data Poisoning Attacks. - Sandamal Weerasinghe; Tansu Alpcan; Sarah M. Erfani; Christopher Leckie (IEEE Trans. Inf. Forensics Secur., 2021)

A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. - Ali Ugur Guler; Emir Demirovic; Jeffrey Chan; James Bailey 001; Christopher Leckie; Peter J. Stuckey (AAAI, 2022)

Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (AAAI, 2022)

COLLIDER: A Robust Training Framework for Backdoor Data. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (ACCV (6), 2022)

Local Intrinsic Dimensionality Signals Adversarial Perturbations. - Sandamal Weerasinghe; Tamas Abraham; Tansu Alpcan; Sarah M. Erfani; Christopher Leckie; Benjamin I. P. Rubinstein (CDC, 2022)

ℓ ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (ECCV (11), 2022)

Wireless Network Simulation to Create Machine Learning Benchmark Data. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (GLOBECOM, 2022)

Hybrid Collaborative Architectures For Intrusion Detection In Multi-Access Edge Computing. - Rahul Sharma; Chien Aun Chan; Christopher Leckie (NOMS, 2022)

Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. - Siqi Xia; Sutharshan Rajasegarar; Christopher Leckie; Sarah M. Erfani; Jeffrey Chan (NSS, 2022)

Modelling Zeros in Blockmodelling. - Laurence A. F. Park; Mohadeseh Ganji; Emir Demirovic; Jeffrey Chan; Peter J. Stuckey; James Bailey 001; Christopher Leckie; Rao Kotagiri (PAKDD (2), 2022)

ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. - Qizhou Wang 001; Mahsa Salehi; Jia Shun Low; Wray L. Buntine; Christopher Leckie (PAKDD (2), 2022)

Generative Adversarial Networks for anomaly detection on decentralised data. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie (Annu. Rev. Control., 2022)

Benchmarking Adversarially Robust Quantum Machine Learning at Scale. - Maxwell T. West; Sarah M. Erfani; Christopher Leckie; Martin Sevior; Lloyd C. L. Hollenberg; Muhammad Usman 009 (CoRR, 2022)

Multi-attention graph neural networks for city-wide bus travel time estimation using limited data. - Jiaman Ma; Jeffrey Chan; Sutharshan Rajasegarar; Christopher Leckie (Expert Syst. Appl., 2022)

Shape-Sphere: A metric space for analysing time series by their shape. - Yousef Kowsar; Masud Moshtaghi; Eduardo Velloso; James C. Bezdek; Lars Kulik; Christopher Leckie (Inf. Sci., 2022)

MurTree: Optimal Decision Trees via Dynamic Programming and Search. - Emir Demirovic; Anna Lukina; Emmanuel Hebrard; Jeffrey Chan; James Bailey 001; Christopher Leckie; Kotagiri Ramamohanarao; Peter J. Stuckey (J. Mach. Learn. Res., 2022)

MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation. - Xuyun Zhang; Lianyong Qi; Wanchun Dou; Qiang He 001; Christopher Leckie; Ramamohanarao Kotagiri; Zoran Salcic (IEEE Trans. Big Data, 2022)

An Online Unsupervised Dynamic Window Method to Track Repeating Patterns From Sensor Data. - Yousef Kowsar; Masud Moshtaghi; Eduardo Velloso; Christopher Leckie; Lars Kulik (IEEE Trans. Cybern., 2022)

Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. - Qizhou Wang 001; Guansong Pang; Mahsa Salehi; Wray L. Buntine; Christopher Leckie (AAAI, 2023)

EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. - Siqi Xia; Sutharshan Rajasegarar; Christopher Leckie; Sarah M. Erfani; Jeffrey Chan; Lei Pan 002 (ADMA (3), 2023)

A Group Formation Game for Local Anomaly Detection. - Zixin Ye; Tansu Alpcan; Christopher Leckie (CDC, 2023)

Predict-Then-Optimise Strategies for Water Flow Control (Short Paper). - Vincent Barbosa Vaz; James Bailey 001; Christopher Leckie; Peter J. Stuckey (CP, 2023)

Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie (ICC, 2023)

Online Trajectory Anomaly Detection Based on Intention Orientation. - Chen Wang 131; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie (IJCNN, 2023)

Probabilistic Distributed Intrusion Detection For Zero-Trust Multi-Access Edge Computing. - Rahul Sharma; Chien Aun Chan; Christopher Leckie (NOMS, 2023)

It's PageRank All The Way Down: Simplifying Deep Graph Networks. - Dominic Jack; Sarah M. Erfani; Jeffrey Chan; Sutharshan Rajasegarar; Christopher Leckie (SDM, 2023)

Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (CoRR, 2023)

Open-Set Graph Anomaly Detection via Normal Structure Regularisation. - Qizhou Wang 001; Guansong Pang; Mahsa Salehi; Wray L. Buntine; Christopher Leckie (CoRR, 2023)

Towards quantum enhanced adversarial robustness in machine learning. - Maxwell T. West; Shu Lok Tsang; Jia Shun Low; Charles D. Hill; Christopher Leckie; Lloyd C. L. Hollenberg; Sarah M. Erfani; Muhammad Usman 009 (Nat. Mac. Intell., 2023)

Electrical Model-Free Voltage Calculations Using Neural Networks and Smart Meter Data. - Vincenzo Bassi; Luis F. Ochoa; Tansu Alpcan; Christopher Leckie (IEEE Trans. Smart Grid, 2023)

Adversarial Coreset Selection for Efficient Robust Training. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (Int. J. Comput. Vis., 2023)

Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning. - Chen Wang 131; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie (AAMAS, 2024)

Shedding Light on Greenwashing: Explainable Machine Learning for Green Ad Detection. - Yihan Bao; Abdul Karim Obeid; Daniel Angus; Julian Bagnara; Christopher Leckie (AI (1), 2024)

Intelligent Data Source Emission Rate Control for Optimising the Performance of Streaming Applications. - Ziren Xiao; Christopher Leckie; Maria A. Rodriguez 001 (CCGrid, 2024)

Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (ECAI, 2024)

DeCoRTAD: Diffusion Based Conditional Representation Learning for Online Trajectory Anomaly Detection. - Chen Wang 131; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie (ECAI, 2024)

ConDGAD: Multi-augmentation Contrastive Learning for Dynamic Graph Anomaly Detection. - Siqi Xia; Sutharshan Rajasegarar; Lei Pan 002; Christopher Leckie; Sarah M. Erfani; Jeffrey Chan (ICPR (25), 2024)

Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining. - Isura Manchanayaka; Zainab R. Zaidi; Shanika Karunasekera; Christopher Leckie (IJCNN, 2024)

Demonstrating Electrical Model-Free Voltage Calculations with Real Smart Meter Data. - Vincenzo Bassi; Luis F. Ochoa; Tansu Alpcan; Christopher Leckie; Michael Z. Liu; Orlando Pereira; Eshan Karunarathne (ISGT EUROPE, 2024)

Long-Term Fairness in Ride-Hailing Platform. - Yufan Kang; Jeffrey Chan; Wei Shao 006; Flora D. Salim; Christopher Leckie (ECML/PKDD (9), 2024)

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. - Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (SaTML, 2024)

LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection. - Siqi Xia; Sutharshan Rajasegarar; Lei Pan 002; Christopher Leckie; Sarah M. Erfani; Jeffrey Chan (IEEE Access, 2024)

OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences. - Chen Wang 131; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie (CoRR, 2024)

An Interpretable Low-complexity Model for Wireless Channel Estimation. - Zainab R. Zaidi; Tansu Alpcan; Christopher Leckie; Sarah Efrain (CoRR, 2024)

Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery. - Ching-Chun Chang; Kai Gao 004; Shuying Xu; Anastasia Kordoni; Christopher Leckie; Isao Echizen (CoRR, 2024)

Unsupervised Domain-Agnostic Fake News Detection Using Multi-Modal Weak Signals. - Amila Silva; Ling Luo 002; Shanika Karunasekera; Christopher Leckie (IEEE Trans. Knowl. Data Eng., 2024)

Open-Set Graph Anomaly Detection via Normal Structure Regularisation. - Qizhou Wang 001; Guansong Pang; Mahsa Salehi; Xiaokun Xia; Christopher Leckie (ICLR, 2025)

Using Causality to Infer Coordinated Attacks in Social Media. - Isura Manchanayaka; Zainab Razia Zaidi; Shanika Karunasekera; Christopher Leckie (ICWSM, 2025)

Local Anomaly Detection with Partial Observation in Multi-agent Systems as a Data Matching Game. - Zixin Ye; Tansu Alpcan; Christopher Leckie (AAMAS, 2025)

S-CPD: Topological Smoothing-Based Change Point Detection. - Harindu Sugathadasa; Sarah Monazam Erfani; Christopher Leckie (PAKDD (6), 2025)

Round Trip Translation Defence Against Large Language Model Jailbreaking Attacks. - Canaan Yung; Hadi Mohaghegh Dolatabadi; Sarah M. Erfani; Christopher Leckie (PAKDD (Workshops), 2025)

HALO: Robust Out-of-Distribution Detection via Joint Optimisation. - Hugo Lyons Keenan; Sarah M. Erfani; Christopher Leckie (SaTML, 2025)

Exploiting Inter-Sample Information for Long-Tailed Out-of-Distribution Detection. - Nimeshika Udayangani; Hadi M. Dolatabadi; Sarah M. Erfani; Christopher Leckie (WACV, 2025)

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery. - Ching-Chun Chang; Kai Gao 004; Shuying Xu; Anastasia Kordoni; Christopher Leckie; Isao Echizen (IEEE Access, 2025)

OIL-AD: An anomaly detection framework for decision-making sequences. - Chen Wang 131; Sarah M. Erfani; Tansu Alpcan; Christopher Leckie (Pattern Recognit., 2025)

GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm. - Hanrui Wang 005; Ching-Chun Chang; Chun-Shien Lu; Christopher Leckie; Isao Echizen (CoRR, 2025)

CURVALID: Geometrically-guided Adversarial Prompt Detection. - Canaan Yung; Hanxun Huang; Sarah Monazam Erfani; Christopher Leckie (CoRR, 2025)

SPADE: Systematic Prompt Framework for Automated Dialogue Expansion in Machine-Generated Text Detection. - Haoyi Li; Angela Yifei Yuan; Soyeon Caren Han; Christopher Leckie (CoRR, 2025)