Christopher Leckie

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Zahra Ghafoori, Sarah M Erfani, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2020  |  IEEE Transactions on Knowledge and Data Engineering

We present a new unsupervised dimensionality reduction technique, called LN-SNE, for anomaly detection. LN-SNE generates a paramet..

Exploiting patterns to explain individual predictions

Y Jia, J Bailey, K Ramamohanarao, C Leckie, X Ma

Journal article  |  2020  |  Knowledge and Information Systems

Users need to understand the predictions of a classifier, especially when decisions based on the predictions can have severe conse..

Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification

Y Han, S Karunasekera, C Leckie, A Harwood

Conference Proceedings  |  2020  |  2019 IEEE International Conference on Big Data (Big Data)

Compared with traditional news media, social media nowadays provides a richer and more timely source of news. We are interested in..

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity

Amila Silva, Shanika Karunasekera, Chris Leckie, Ling Luo

Conference Proceedings  |  2020  |  2019 IEEE International Conference on Big Data (Big Data)

Building spatiotemporal activity models for people's activities in urban spaces is important for understanding the ever-increasing..

Unsupervised online change point detection in high-dimensional time series

M Zameni, A Sadri, Z Ghafoori, M Moshtaghi, FD Salim, C Leckie, K Ramamohanarao

Journal article  |  2020  |  Knowledge and Information Systems

A critical problem in time series analysis is change point detection, which identifies the times when the underlying distribution ..

Unsupervised and Active Learning Using Maximin-Based Anomaly Detection

Z Ghafoori, JC Bezdek, C Leckie, S Karunasekera

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Unsupervised anomaly detection is commonly performed using a distance or density based technique, such as K-Nearest neighbours, Lo..

Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams

Yi Han, Shanika Karunasekera, Christopher Leckie

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Events detected from social media streams often include early signs of accidents, crimes or disasters. Therefore, they can be used..

Support vector machines resilient against training data integrity attacks

S Weerasinghe, SM Erfani, T Alpcan, C Leckie

Journal article  |  2019  |  Pattern Recognition

Support Vector Machines (SVMs) are vulnerable to integrity attacks, where malicious attackers distort the training data in order t..

Online K-Means Clustering with Lightweight Coresets

JS Low, Z Ghafoori, C Leckie

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Coresets are representative samples of data that can be used to train machine learning models with provable guarantees of approxim..

Multi-scale trajectory clustering to identify corridors in mobile networks

L Li, CA Chan, S Erfani, C Leckie

Conference Proceedings  |  2019  |  Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Deployment and management of large-scale mobile edge computing infrastructure in 5G networks has created a major challenge for mob..

LiftSmart: a monitoring and warning wearable for weight trainers

Yousef Kowsar, Eduardo Velloso, Lars Kulik, Christopher Leckie

Conference Proceedings  |  2019  |  Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC '19

In this paper, we demonstrate LiftSmart, a novel smart wearable to detect, track and analyse weight training activities. LiftSmart..

Tour recommendation and trip planning using location-based social media: a survey

Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie

Journal article  |  2019  |  Knowledge and Information Systems

Tourism is both an important industry and popular leisure activity undertaken by millions around the world. One important task for..

Seeding on samples for accelerating k-means clustering

JS Low, Z Ghafoori, JC Bezdek, C Leckie

Conference Proceedings  |  2019  |  Proceedings of the 3rd International Conference on Big Data and Internet of Things - BDIOT 2019

K-means clustering with random seeds results in arbitrarily poor clusters. Much work as been done to improve initial centroid sele..

Bus travel time prediction with real-time traffic information

Jiaman Ma, Jeffrey Chan, Goce Ristanoski, Sutharshan Rajasegarar, Christopher Leckie

Journal article  |  2019  |  Transportation Research Part C: Emerging Technologies

An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate travel time information. Knowing arr..

Improving the quality of explanations with local embedding perturbations

Y Jia, J Bailey, K Ramamohanarao, C Leckie, ME Houle

Conference Proceedings  |  2019  |  Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Classifier explanations have been identified as a crucial component of knowledge discovery. Local explanations evaluate the behavi..

P-Gram: Positional N-Gram for the Clustering of Machine-Generated Messages

Jiaojiao Jiang, Steve Versteeg, Jun Han, Md Arafat Hossain, Jean-Guy Schneider, Christopher Leckie, Zeinab Farahmandpour

Journal article  |  2019  |  IEEE Access

An IT system generates messages for other systems or users to consume, through direct interaction or as system logs. Automatically..

Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach

F Fahiman, SM Erfani, C Leckie

Conference Proceedings  |  2019  |  2019 International Joint Conference on Neural Networks (IJCNN)

One of the most critical tasks for operating a power system is load forecasting in order to keep balance between demand and supply..

Deep Learning and One-class SVM based Anomalous Crowd Detection

M Yang, S Rajasegarar, SM Erfani, C Leckie

Conference Proceedings  |  2019  |  2019 International Joint Conference on Neural Networks (IJCNN)

Anomalous event detection in videos is an important and challenging task. This paper proposes a deep representation approach to th..

Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks

L Li, CA Chan, S Erfani, C Leckie

Conference Proceedings  |  2019  |  2019 International Joint Conference on Neural Networks (IJCNN)

Edge caching in mobile networks can improve users' experience, reduce latency and balance the network traffic load. However, edge ..

Approximating Dunn's Cluster Validity Indices for Partitions of Big Data

Punit Rathore, Zahra Ghafoori, James C Bezdek, Marimuthu Palaniswami, Christopher Leckie

Journal article  |  2019  |  IEEE Transactions on Cybernetics

Data-Driven Dynamic Probabilistic Reserve Sizing Based on Dynamic Bayesian Belief Networks

Fateme Fahiman, Steven Disano, Sarah Monazam Erfani, Pierluigi Mancarella, Christopher Leckie

Journal article  |  2019  |  IEEE Transactions on Power Systems

Big Data Driven Predictive Caching at the Wireless Edge

CA Chan, M Yan, AF Gygax, W Li, L Li, I Chih-Lin, J Yan, C Leckie

Conference Proceedings  |  2019  |  2019 IEEE International Conference on Communications Workshops (ICC Workshops)

The effective delivery of high bandwidth and high quality-of-experience mobile services to increasingly mobile users has become a ..

Online cluster validity indices for performance monitoring of streaming data clustering

Masud Moshtaghi, James C Bezdek, Sarah M Erfani, Christopher Leckie, James Bailey

Journal article  |  2019  |  International Journal of Intelligent Systems

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

Journal article  |  2019  |  Automatica

We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant dynamical sy..

Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning

S Weerasinghe, SM Erfani, T Alpcan, C Leckie, J Riddle

Conference Proceedings  |  2019  |  2018 IEEE 43rd Conference on Local Computer Networks (LCN)

Software-defined radios (SDRs) with substantial cognitive (computing) and networking capabilities provide an opportunity for obser..

Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data

MT Doan, J Qi, S Rajasegarar, C Leckie

Conference Proceedings  |  2019  |  2018 IEEE International Conference on Big Data (Big Data)

© 2018 IEEE. Subspace clustering aims to find groups of similar objects (clusters) that exist in lower dimensional subspaces from ..

Modeling the Total Energy Consumption of Mobile Network Services and Applications

Ming Yan, Chien Aun Chan, Andre F Gygax, Jinyao Yan, Leith Campbell, Ampalavanapillai Nirmalathas, Christopher Leckie

Journal article  |  2019  |  Energies

Reducing the energy consumption of Internet services requires knowledge about the specific traffic and energy consumption characte..

Urban sensing for anomalous event detection: Distinguishing between legitimate traffic changes and abnormal traffic variability

M Zameni, M He, M Moshtaghi, Z Ghafoori, C Leckie, JC Bezdek, K Ramamohanarao

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Semi-supervised blockmodelling with pairwise guidance

M Ganji, J Chan, PJ Stuckey, J Bailey, C Leckie, K Ramamohanarao, L Park

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Predict optimise with ranking objectives: Exhaustively learning linear functions

E Demirović, PJ Stuckey, J Bailey, J Chan, C Leckie, K Ramamohanarao, T Guns

Conference Proceedings  |  2019  |  Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

We study the predict+optimise problem, where machine learning and combinatorial optimisation must interact to achieve a common goa..

Change Point Detection for Streaming High-Dimensional Time Series

M Zameni, Z Ghafoori, A Sadri, C Leckie, K Ramamohanarao

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© 2019, Springer Nature Switzerland AG. An important task in analysing high-dimensional time series data generated from sensors in..

An Investigation into Prediction��Optimisation for the Knapsack Problem

E Demirović, PJ Stuckey, J Bailey, J Chan, C Leckie, K Ramamohanarao, T Guns

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© 2019, Springer Nature Switzerland AG. We study a predictionÂ�+Â�optimisation formulation of the knapsack problem. The goal is to..

Dealing with Inliers in Feature Vector Data

Dheeraj Kumar, Zahra Ghafoori, James C Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami

Journal article  |  2018  |  International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems

Density biased sampling with locality sensitive hashing for outlier detection

X Zhang, M Salehi, C Leckie, Y Luo, Q He, R Zhou, R Kotagiri

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer Nature Switzerland AG 2018. Outlier or anomaly detection is one of the major challenges in big data analytics since unu..

Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility

Dheeraj Kumar, Huayu Wu, Sutharshan Rajasegarar, Christopher Leckie, Shonali Krishnaswamy, Marimuthu Palaniswami

Journal article  |  2018  |  IEEE Transactions on Intelligent Transportation Systems

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines

Zahra Ghafoori, Sarah M Erfani, Sutharshan Rajasegarar, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2018  |  IEEE Transactions on Neural Networks and Learning Systems

Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency

Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, Shanika Karunasekera

Journal article  |  2018  |  Knowledge and Information Systems

Online Clustering for Evolving Data Streams with Online Anomaly Detection

Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Unsupervised Adversarial Anomaly Detection using One-Class Support Vector Machines

T Alpcan, Prameesha Weerasinghe, Margreta Kuijper, Sarah Monazam Erfani, Christopher Leckie

Conference Proceedings  |  2018

Anomaly detection discovers regular patterns in unlabeled data and identifies the non-conforming data points, which in some cases ..

Graph stream mining based anomalous event analysis

M Yang, L Rashidi, S Rajasegarar, C Leckie

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer Nature Switzerland AG 2018. A major challenge in video surveillance is how to accurately detect anomalous behavioral pa..

Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks

Sandamal Weerasinghe, Tansu Alpcan, Sarah M Erfani, Christopher Leckie, Peyam Pourbeik, Jack Riddle

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Reinforcement learning for autonomous defence in software-defined networking

Y Han, BIP Rubinstein, T Abraham, T Alpcan, O De Vel, S Erfani, D Hubczenko, C Leckie, P Montague

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© 2018, Springer Nature Switzerland AG. Despite the successful application of machine learning (ML) in a wide range of domains, ad..

Cluster-based Crowd Movement Behavior Detection

Meng Yang, Lida Rashidi, Aravinda S Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2018  |  2018 Digital Image Computing: Techniques and Applications (DICTA)

Image constrained blockmodelling: A constraint programming approach

M Ganji, J Chan, PJ Stuckey, J Bailey, C Leckie, K Ramamohanarao, I Davidson

Conference Proceedings  |  2018  |  SIAM International Conference on Data Mining, SDM 2018

© 2018 by SIAM. Blockmodelling is an important technique for detecting un-derlying patterns in graphs. However, existing blockmod-..

Attack correction for noise-free linear systems subject to sensor attacks

C Leckie, Zhanghan Tang, Margreta Kuijper, Iven Mareels

Conference Proceedings  |  2018

We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant systems unde..

Distributed detection of zero-day network traffic flows

Y Miao, L Pan, S Rajasegarar, J Zhang, C Leckie, Y Xiang

Conference Proceedings  |  2018  |  Communications in Computer and Information Science

© Springer Nature Singapore Pte Ltd. 2018. Zero-day (or unknown) traffic brings about challenges for network security and manageme..

Estimating Generalized Dunn's Cluster Validity Indices for Big Data

Punit Rathore, Zahra Ghafoori, James C Bezdek, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2018  |  2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Crowd Activity Change Point Detection in Videos via Graph Stream Mining

Meng Yang, Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie, Aravinda S Rao, Marimuthu Palaniswami

Conference Proceedings  |  2018  |  2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Sensor attack correction for linear systems with known inputs

Z Tang, M Kuijper, M Chong, I Mareels, C Leckie

Journal article  |  2018  |  IFAC-PapersOnLine

On the effectiveness of isolation-based anomaly detection in cloud data centers

Rodrigo N Calheiros, Kotagiri Ramamohanarao, Rajkumar Buyya, Christopher Leckie, Steve Versteeg

Journal article  |  2017  |  Concurrency and Computation: Practice and Experience

Exponentially Weighted Ellipsoidal Model for Anomaly Detection

M Moshtaghi, SM Erfani, C Leckie, JC Bezdek

Journal article  |  2017  |  International Journal of Intelligent Systems (IJIS)

Personalized itinerary recommendation with queuing time awareness

KH Lim, J Chan, S Karunasekera, C Leckie

Conference Proceedings  |  2017  |  Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

© 2017 Copyright held by the owner/author(s). Personalized itinerary recommendation is a complex and timeconsuming problem, due to..

Comparative evaluation of performance measures for shading correction in time-lapse fluorescence microscopy

L Liu, A Kan, C Leckie, PD Hodgkin

Journal article  |  2017  |  Journal of Microscopy

Partitioning road networks using density peak graphs: Efficiency vs. accuracy

Tarique Anwar, Chengfei Liu, Hai L Vu, Christopher Leckie

Journal article  |  2017  |  Information Systems

A visual-numeric approach to clustering and anomaly detection for trajectory data

Dheeraj Kumar, James C Bezdek, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Journal article  |  2017  |  The Visual Computer

An efficient method for anomaly detection in non-stationary data streams

Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie, Mahsa Salehi

Conference Proceedings  |  2017  |  GLOBECOM 2017 - 2017 IEEE Global Communications Conference

Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining

Elaheh Alipour Chavary, Sarah M Erfani, Christopher Leckie

Conference Proceedings  |  2017  |  Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

A Pattern Tree based Method for Mining Conditional Contrast Patterns of Multi-Source Data

Li Li, Sarah Erfani, Christopher Leckie

Conference Proceedings  |  2017  |  2017 IEEE International Conference on Data Mining Workshops (ICDMW)

Improving Load Forecasting Based on Deep Learning and K-shape Clustering

Fateme Fahiman, Sarah M Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2017  |  2017 International Joint Conference on Neural Networks (IJCNN)

Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing

Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie

Journal article  |  2017  |  IEEE Transactions on Dependable and Secure Computing

From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach

S MONAZAM ERFANI, undefined Baktashmotlagh, undefined moshtaghi, undefined Nguyen, undefined leckie, undefined bailey, undefined kotagiri

Conference Proceedings  |  2017  |  31st AAAI Conference on Artificial Intelligence, AAAI 2017

LSHiForest: A Generic Framework for Fast Tree Isolation based Ensemble Anomaly Analysis

Xuyun Zhang, Wanchun Dou, Qiang He, Rui Zhou, Christopher Leckie, Ramamohanarao Kotagiri, Zoran Salcic

Conference Proceedings  |  2017  |  2017 IEEE 33rd International Conference on Data Engineering (ICDE)

Clustering aided support vector machines

G Ristanoski, R Soni, S Rajasegarar, J Bailey, C Leckie

Conference Proceedings  |  2017  |  International Conference on Machine Learning and Data Mining in Pattern Recognition

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract)

Mahsa Salehi, Christopher Leckie, James C Bezdek, Tharshan Vaithianathan, Xuyun Zhang

Conference Proceedings  |  2017  |  2017 IEEE 33rd International Conference on Data Engineering (ICDE)

An Efficient Visual Assessment of Cluster Tendency Tool for Large-scale Time Series Data Sets

Timothy B Iredale, Sarah M Erfani, Christopher Leckie

Conference Proceedings  |  2017  |  2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms

Fateme Fahiman, James C Bezdek, Sarah M Erfani, Marimuthu Palaniswami, Christopher Leckie

Conference Proceedings  |  2017  |  2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Fast Memory Efficient Local Outlier Detection in Data Streams

Mahsa Salehi, Christopher Leckie, James C Bezdek, Tharshan Vaithianathan, Xuyun Zhang

Journal article  |  2016  |  IEEE Transactions on Knowledge and Data Engineering

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

Journal article  |  2016  |  ACM Transactions on Knowledge Discovery from Data

Visual Assessment of Clustering Tendency for Incomplete Data

Laurence AF Park, James C Bezdek, Christopher Leckie, Ramamohanarao Kotagiri, James Bailey, Marimuthu Palaniswami

Journal article  |  2016  |  IEEE Transactions on Knowledge and Data Engineering

Network Energy Consumption Assessment of Conventional Mobile Services and Over-the-Top Instant Messaging Applications

Ming Yan, Chien Aun Chan, Wenwen Li, Chih-Lin I, Sen Bian, Andre F Gygax, Christopher Leckie, Kerry Hinton, Elaine Wong, Ampalavanapillai Nirmalathas

Journal article  |  2016  |  IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

The Generalized C Index for Internal Fuzzy Cluster Validity

James C Bezdek, Masud Moshtaghi, Thomas Runkler, Christopher Leckie

Journal article  |  2016  |  IEEE Transactions on Fuzzy Systems

Discovering outlying aspects in large datasets

Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei

Journal article  |  2016  |  Data Mining and Knowledge Discovery

A Hybrid Approach to Clustering in Big Data

Dheeraj Kumar, James C Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, Timothy Craig Havens

Journal article  |  2016  |  IEEE Transactions on Cybernetics

A framework for distributed data analysis for IoT

M Moshtaghi, C Leckie, S Karunasekera

Book Chapter  |  2016

A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning

Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin IP Rubinstein

Journal article  |  2016  |  IEEE Transactions on Information Forensics and Security

Pedestrian Behaviour Analysis Using the Microsoft Kinect

Junying Chen, Sutharshan Rajasegarar, Christopher Leckie, Andre Gygax

Conference Proceedings  |  2016  |  2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

Detecting Unseen Anomalies in Weight Training Exercises

Y Kowsar, M Moshtaghi, E Velloso, L Kulik, C Leckie

Conference Proceedings  |  2016  |  Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16

An Improved Scheme for Privacy-Preserving Collaborative Anomaly Detection

Lingjuan Lyu, Yee Wei Law, Sarah M Erfani, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2016  |  2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

Robust Domain Generalisation by Enforcing Distribution Invariance

S MONAZAM ERFANI, M Baktashmotlagh, M Moshtaghi, X Nguyen, C Leckie, J Bailey, K Ramamohanarao

Conference Proceedings  |  2016  |  IJCAI International Joint Conference on Artificial Intelligence

Managing the Use-phase and Embodied Energy Consumption to Achieve Sustainable Network Growth

Chien Aun Chan, Andre F Gygax, Christopher Leckie, Elaine Wong, Ampalavanapillai Nirmalathas

Conference Proceedings  |  2016  |  Asia Communications and Photonics Conference 2016

Trajectory Pattern Identification and Anomaly Detection of Pedestrian Flows Based on Visual Clustering

Li Li, Christopher Leckie

Conference Proceedings  |  2016  |  IFIP Advances in Information and Communication Technology

Improving Personalized Trip Recommendation by Avoiding Crowds

Xiaoting Wang, Christopher Leckie, Jeffrey Chan, Kwan Hui Lim, Tharshan Vaithianathan

Conference Proceedings  |  2016  |  Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features

Meng Yang, Sutharshan Rajasegarar, Aravinda S Rao, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2016  |  IFIP Advances in Information and Communication Technology

PersTour: A personalized tour recommendation and planning system

KH Lim, X Wang, J Chan, S Karunasekera, C Leckie, Y Chen, CL Tan, FQ Gao, TK Wee

Conference Proceedings  |  2016  |  CEUR Workshop Proceedings

Touring is a popular but time-consuming activity, due to the need to identify interesting attractions or Places-of-Interest (POIs)..

Large-scale strategic games and adversarial machine learning

T Alpcan, BIP Rubinstein, C Leckie

Conference Proceedings  |  2016  |  2016 IEEE 55th Conference on Decision and Control (CDC)

Unsupervised Parameter Estimation for One-Class Support Vector Machines

Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M Erfani, Shanika Karunasekera, Christopher A Leckie

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Anomaly Detection in Non-stationary Data: Ensemble based Self-Adaptive OCSVM

Zahra Ghafoori, Sarah M Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher A Leckie

Conference Proceedings  |  2016  |  2016 International Joint Conference on Neural Networks (IJCNN)

R1STM: One-class support tensor machine with randomised kernel

SM Erfani, M Baktashmotlagh, S Rajasegarar, V Nguyen, C Leckie, J Bailey, K Ramamohanarao

Conference Proceedings  |  2016  |  16th SIAM International Conference on Data Mining 2016, SDM 2016

Towards next generation touring: Personalized group tours

KH Lim, J Chan, C Leckie, S Karunasekera

Conference Proceedings  |  2016  |  Proceedings International Conference on Automated Planning and Scheduling, ICAPS

Copyright © 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Recommending and..

Efficient Query Processing on Road Traffic Network

Masoomeh Zameni, Masud Moshtaghi, Christopher Leckie

Conference Proceedings  |  2016  |  2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

Telecommunications energy and greenhouse gas emissions management of future network growth

A GYGAX, C Chan, C Leckie, E Wong, A Nirmalathas, K Hinton

Journal article  |  2016  |  Applied Energy

A key aspect of greener network deployment is how to achieve sustainable growth of a telecommunications network, both in terms of ..

Training Robust Models with Random Projection

XV Nguyen, S Monazam Erfani, S Paisitkriangkrai, J Bailey, C Leckie, K Ramamohanarao

Conference Proceedings  |  2016  |  2016 23rd International Conference on Pattern Recognition (ICPR)

Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation

Xuyun Zhang, Christopher Leckie, Wanchun Dou, Jinjun Chen, Ramamohanarao Kotagiri, Zoran Salcic

Conference Proceedings  |  2016  |  Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

Online clustering of multivariate time-series

M Moshtaghi, C Leckie, JC Bezdek

Conference Proceedings  |  2016  |  16th SIAM International Conference on Data Mining 2016, SDM 2016

Copyright © by SIAM. The intrinsic nature of streaming data requires algorithms that are capable of fast data analysis to extract ..

Node re-ordering as a means of anomaly detection in time-evolving graphs

L Rashidi, A Kan, J Bailey, J Chan, C Leckie, W Liu, S Rajasegarar, K Ramamohanarao

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Smart sampling: A novel unsupervised boosting approach for outlier detection

M Salehi, X Zhang, JC Bezdek, C Leckie

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

© Springer International Publishing AG 2016. While various ensemble algorithms have been proposed for supervised ensembles or clus..

Improved classification of known and unknown network traffic flows using semi-supervised machine learning

T Glennan, C Leckie, SM Erfani

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

High-Dimensional and Large-Scale Anomaly Detection using a Linear One-Class SVM with Deep Learning

S MONAZAM ERFANI, S Rajasegarar, S Karunasekera, C Leckie

Journal article  |  2016  |  Pattern Recognition

Assessing network energy consumption of mobile applications

CA Chan, W Li, S Bian, C-L I, AF GYGAX, C Leckie, M Yan, K Hinton

Journal article  |  2015  |  IEEE Communications Magazine

Continuous growth in the energy consumption of mobile networks has become a major concern for mobile carriers. Since current mobil..

Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment

MT Doan, S Rajasegarar, M Salehi, M Moshtaghi, C Leckie

Conference Proceedings  |  2015  |  Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15

Car Racing Driver Distraction Detection Using Brain EEG

M Salehi, G Mackellar, C LECKIE

Presentation  |  2015

Poster submission in Workshop on Large-Scale Sports Analytics in conjunction with the 21st ACM SIGKDD Conference on Knowledge Disc..

Evolving Fuzzy Rules for Anomaly Detection in Data Streams

Masud Moshtaghi, James C Bezdek, Christopher Leckie, Shanika Karunasekera, Marimuthu Palaniswami

Journal article  |  2015  |  IEEE Transactions on Fuzzy Systems

Ranking cell tracking systems without manual validation

Andrey Kan, John Markham, Rajib Chakravorty, James Bailey, Christopher Leckie

Journal article  |  2015  |  Pattern Recognition Letters

Traffic Forecasting In Complex Urban Networks: Leveraging Big Data and Machine Learning

Florin Schimbinschi, Vinh Nguyen Xuan, James Bailey, Chris Leckie, Hai Vu, Rao Kotagiri

Conference Proceedings  |  2015  |  Big Data (Big Data), 2015 IEEE International Conference on

Detecting location-centric communities using social-spatial links with temporal constraints

KH Lim, J Chan, C Leckie, S Karunasekera

Conference Proceedings  |  2015  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Community detection on social networks typically aims to cluster users into different communities based on their social links. The..

Improving Location Prediction using a Social Historical Model with Strict Recency Context

KH Lim, J Chan, C LECKIE, S Karunasekera

Conference Proceedings  |  2015

Pattern based anomalous user detection in cognitive radio networks

S Rajasegarar, C Leckie, M Palaniswami

Conference Proceedings  |  2015  |  2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2015 IEEE. Cognitive radio (CR) provides the ability to sense the range of frequencies (spectrum) that are not utilized by the i..

Local Outlier Detection for Data Streams in Sensor Networks: Revisiting the Utility Problem Invited Paper

Mahsa Salehi, Christopher Leckie, James C Bezdek, Tharshan Vaithianathan

Conference Proceedings  |  2015  |  2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection

Sarah M Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Chris Leckie

Conference Proceedings  |  2015  |  Twenty-Ninth AAAI Conference on Artificial Intelligence

Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions

R Buyya, K Ramamohanarao, C Leckie, RN Calheiros, AV Dastjerdi, S Versteeg

Conference Proceedings  |  2015  |  2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS)

Detection of Deception in the Mafia Party Game

S Demyanov, J Bailey, R Kotagiri, C Leckie

Conference Proceedings  |  2015  |  Proceedings of the 2015 ACM on International Conference on Multimodal Interaction - ICMI '15

Personalized tour recommendation based on user interests and points of interest visit durations

KH Lim, J Chan, C Leckie, S Karunasekera

Conference Proceedings  |  2015  |  IJCAI International Joint Conference on Artificial Intelligence

Tour recommendation and itinerary planning are challenging tasks for tourists, due to their need to select Points of Interest (POI..

An Embedding Scheme for Detecting Anomalous Block Structured Graphs

Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie

Conference Proceedings  |  2015  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Scalable Outlying-Inlying Aspects Discovery via Feature Ranking

Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei

Conference Proceedings  |  2015  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DPISVM: A Dynamic Planar One-Class Support Vector Machine for Internet of Things Environment

Alistair Shilton, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2015  |  2015 International Conference on Recent Advances in Internet of Things (RIoT)

Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data

Xiaoting Wang, Christopher Leckie, Hairuo Xie, Tharshan Vaithianathan

Conference Proceedings  |  2015  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Parking Availability Prediction for Sensor-Enabled Car Parks in Smart Cities

Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie

Conference Proceedings  |  2015  |  2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

LICRE: unsupervised feature correlation reduction for lipidomics

Gerard Wong, Jeffrey Chan, Bronwyn A Kingwell, Christopher Leckie, Peter J Meikle

Journal article  |  2014  |  Bioinformatics

Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks

Sutharshan Rajasegarar, Alexander Gluhak, Muhammad Ali Imran, Michele Nati, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami

Journal article  |  2014  |  Pattern Recognition

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

Journal article  |  2014  |  IEEE Transactions on Geoscience and Remote Sensing

Streaming analysis in wireless sensor networks

Masud Moshtaghi, James C Bezdek, Timothy C Havens, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar, Marimuthu Palaniswami

Journal article  |  2014  |  Wireless Communications and Mobile Computing

An adaptive elliptical anomaly detection model for wireless sensor networks

Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, Sutharshan Rajasegarar

Journal article  |  2014  |  Computer Networks

Estimating the number of hosts corresponding to an intrusion alert while preserving privacy

Alif Wahid, Christopher Leckie, Chenfeng Zhou

Journal article  |  2014  |  Journal of Computer and System Sciences

Quantitative analysis of Plasmodium ookinete motion in three dimensions suggests a critical role for cell shape in the biomechanics of malaria parasite gliding motility

Andrey Kan, Yan-Hong Tan, Fiona Angrisano, Eric Hanssen, Kelly L Rogers, Lachlan Whitehead, Vanessa P Mollard, Anton Cozijnsen, Michael J Delves, Simon Crawford, Robert E Sinden, Geoffrey I McFadden, Christopher Leckie, James Bailey, Jake Baum

Journal article  |  2014  |  CELLULAR MICROBIOLOGY

Evaluating spectral unmixing quality in the absence of reference objects for time lapse fluorescence microscopy

Liyan Liu, Andrey Kan, Jie HS Zhou, John F Markham, Philip D Hodgkin, Christopher Leckie

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Data Mining Workshop

Virtual Machine Allocation Policies against Co-resident Attacks in Cloud Computing

Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Communications

Hyperspherical cluster based distributed anomaly detection in wireless sensor networks

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Journal article  |  2014  |  Journal of Parallel and Distributed Computing

Privacy-preserving collaborative anomaly detection for participatory sensing

SM Erfani, YW Law, S Karunasekera, CA Leckie, M Palaniswami

Conference Proceedings  |  2014  |  Advances in Knowledge Discovery and Data Mining

A relevance weighted ensemble model for anomaly detection in switching data streams

M Salehi, CA Leckie, M Moshtaghi, T Vaithianathan

Conference Proceedings  |  2014  |  Advances in Knowledge Discovery and Data Mining

Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring

L RASHIDI, S Rajasegarar, CA Leckie, M Nati, A Gluhak, MA Imran, MS Palaniswami

Conference Proceedings  |  2014  |  Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Structure-Aware Distance Measures for Comparing Clusterings in Graphs

JK Chan, XV Nguyen, W Liu, J Bailey, CA Leckie, R Kotagiri, J Pei

Conference Proceedings  |  2014  |  Advances in Knowledge Discovery and Data Mining

Spatio-Temporal Estimation with Bayesian Maximum Entropy and Compressive Sensing in Communication Constrained Networks

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Communications

Smart Car Parking: Temporal Clustering and Anomaly Detection in Urban Car Parking

Yanxu Zheng, Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2014  |  Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

High Resolution Spatio-temporal Monitoring of Air Pollutants Using Wireless Sensor Networks

Sutharshan Rajasegarar, Peng Zhang, Yang Zhou, Shanika Karunasekera, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2014  |  Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs

J Chan, C Leckie, J Bailey, R Kotagiri

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Data Mining

Spatial Partitioning of Large Urban Road Networks

T Anwar, C Liu, HL Vu, C LECKIE

Conference Proceedings  |  2014  |  Advances in Database Technology - EDBT 2014: 17th International Conference on Extending Database Technology, Proceedings

Using Trajectory Features for Upper Limb Action Recognition

Xiaoting Wang, Sofia Suvorova, Tharshan Vaithianathan, Christopher Leckie

Conference Proceedings  |  2014  |  Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks

Timothy C Havens, James C Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami

Journal article  |  2013  |  IEEE Transactions on Fuzzy Systems

A time decoupling approach for studying forum dynamics

Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie

Journal article  |  2013  |  World Wide Web

Measures for ranking cell trackers without manual validation

Andrey Kan, Christopher Leckie, James Bailey, John Markham, Rajib Chakravorty

Journal article  |  2013  |  Pattern Recognition

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation

JK Chan, W Liu, A Kan, CA Leckie, J Bailey, R Kotagiri

Conference Proceedings  |  2013  |  Proceedings of the 22nd ACM International Conference on Information & Knowledge Management

clusiVAT: A Mixed Visual/Numerical Clustering Algorithm for Big Data

Dheeraj Kumar, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C Bezdek, Timothy C Havens

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Conference on Big Data

Applications of Class-Conditional Conformal Predictor in Multi-Class Classification

F Shi, CS Ong, CA Leckie

Conference Proceedings  |  2013  |  Proceedings of the 2013 12th International Conference on Machine Learning and Applications

Clustering and visualization of fuzzy communities in social networks

TC Havens, JC Bezdek, CA Leckie, JK Chan, W Liu, J Bailey, R Kotagiri, MS Palaniswami

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Conference on Fuzzy Systems

Methodologies for Assessing the Use-Phase Power Consumption and Greenhouse Gas Emissions of Telecommunications Network Services

Chien A Chan, Andre F Gygax, Elaine Wong, Christopher A Leckie, Ampalavanapillai Nirmalathas, Daniel C Kilper

Journal article  |  2013  |  Environmental Science & Technology

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces

W Liu, JK Chan, J Bailey, CA Leckie, R Kotagiri

Conference Proceedings  |  2013  |  Proceedings of the Thirteenth SIAM International Conference on Data Mining

A Bayesian Classifier for Learning from Tensorial Data

W Liu, JK Chan, J Bailey, CA Leckie, F Chen, R Kotagiri

Conference Proceedings  |  2013  |  Machine Learning and Knowledge Discovery in Databases

Energy audit models for telecommunications networks and services

CA Chan, E Wong, AF Gygax, CA Leckie, A Nirmalathas, K Hinton

Conference Proceedings  |  2013  |  Asia Communications and Photonics Conference 2013

Energy audit models for telecommunications networks and services

CA Chan, E Wong, AF Gygax, CA Leckie, A Nirmalathas, K Hinton

Conference Proceedings  |  2013  |  Asia Communications and Photonics Conference 2013

Mining labelled tensors by discovering both their common and discriminative subspaces

W Liu, J Chan, J Bailey, C Leckie, K Ramamohanarao

Conference Proceedings  |  2013  |  Proceedings of the 2013 SIAM International Conference on Data Mining, SDM 2013

Copyright © SIAM. Conventional non-negative tensor factorization (NTF) methods assume there is only one tensor that needs to be de..

Analysing Virtual Machine Usage in Cloud Computing

Y HAN, JK Chan, CA Leckie

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE Ninth World Congress on Services

Extension of iVAT to Asymmetric Matrices

Timothy C Havens, James C Bezdek, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Conference on Fuzzy Systems

Security games for virtual machine allocation in cloud computing

Y Han, T Alpcan, J Chan, C Leckie

Conference Proceedings  |  2013  |  Decision and Game Theory for Security

Privacy-Preserving Data Aggregation in Participatory Sensing Networks

S MONAZAM ERFANI, SA Karunasekera, CA Leckie, U Parampalli

Conference Proceedings  |  2013  |  IEEE ISSNIP: Sensing the Future

Estimating the number of hosts corresponding to an address while preserving anonymity

A Wahid, C Leckie, C Zhou

Conference Proceedings  |  2012  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

An efficient adversarial learning strategy for constructing robust classification boundaries

W Liu, S Chawla, J Bailey, C Leckie, K Ramamohanarao

Conference Proceedings  |  2012  |  Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence

On compressing weighted time-evolving graphs

W Liu, A Kan, J Chan, J Bailey, C Leckie, J Pei, R Kotagiri

Conference Proceedings  |  2012  |  Proceedings of the 21st ACM International Conference on Information and Knowledge Management

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs

W Liu, J Chan, J Bailey, C Leckie, R Kotagiri

Conference Proceedings  |  2012  |  Proceedings of the 21st ACM International Conference on Information and Knowledge Management

AIC and BIC based approaches for SVM parameter value estimation with RBF kernels

S Demyanov, J Bailey, K Ramamohanarao, C Leckie

Conference Proceedings  |  2012  |  JMLR Workshop and Conference Proceedings

Fuzzy c-Means Algorithms for Very Large Data

Timothy C Havens, James C Bezdek, Christopher Leckie, Lawrence O Hall, Marimuthu Palaniswami

Journal article  |  2012  |  IEEE Transactions on Fuzzy Systems

ciForager: Incrementally Discovering Regions of Correlated Change in Evolving Graphs

Jeffrey Chan, James Bailey, Christopher Leckie, Michael Houle

Journal article  |  2012  |  ACM Transactions on Knowledge Discovery from Data

SeqiBloc: Mining multi-time spanning blockmodels in dynamic graphs

J Chan, W Liu, C Leckie, J Bailey, K Ramamohanarao

Conference Proceedings  |  2012  |  Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12

Improved Gaussian process classification via feature space rotation

Liang Wang, Christopher A Leckie

Journal article  |  2012  |  Neurocomputing

FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number

Gerard Wong, Christopher Leckie, Adam Kowalczyk

Journal article  |  2012  |  Bioinformatics

Towards an energy rating system for telecommunications

CA Chan, E Wong, AF Gygax, C Leckie, DC Kilper, A Nirmalathas

Journal article  |  2012  |  Telecommunications Journal of Australia

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

Conference Proceedings  |  2012  |  Proceedings of WCCI 2012 IEEE World Congress on Computational Intelligence

Energy rating for future telecom services: Motivation, methodologies and challenges

CA Chan, E Wong, AF Gygax, CA Leckie, A Nirmalathas, DC Kilper

Conference Proceedings  |  2012  |  Proceedings of the 2012 Asia Communications and Photonics Conference

An efficient approach to detecting concept-evolution in network data streams

SM Erfani, S Rajasegarar, C Leckie

Conference Proceedings  |  2011  |  Proceedings of the Australasian Telecommunication Networks and Applications Conference, ATNAC 2011

Energy efficiency of on-demand video caching systems and user behavior

Chien Aun Chan, Elaine Wong, Ampalavanapillai Nirmalathas, Andre F Gygax, Christopher Leckie

Journal article  |  2011  |  Optics Express

Power management for unattended wireless sensor networks

X Liu, C Leckie, SK Saleem

Conference Proceedings  |  2011  |  2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Power management for unattended wireless sensor networks

X Liu, C Leckie, SK Saleem

Conference Proceedings  |  2011  |  Proceeding of the Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011)

Incremental elliptical boundary estimation for anomaly detection in Wireless Sensor Networks

M Moshtaghi, C Leckie, S Karunasekera, JC Bezdek, S Rajasegarar, M Palaniswami

Conference Proceedings  |  2011  |  Proceedings of the 11th IEEE International Conference on Data Mining (ICDM 2011)

Automated and semi-automated cell tracking: addressing portability challenges

A Kan, R Chakravorty, J Bailey, C Leckie, J Markham, MR Dowling

Journal article  |  2011  |  Journal of Microscopy - Oxford

An efficient hyperellipsoidal clustering algorithm for resource-constrained environments

Masud Moshtaghi, Sutharshan Rajasegarar, Christopher Leckie, Shanika Karunasekera

Journal article  |  2011  |  Pattern Recognition

Self-similar characteristics of network intrusion attempts and the implications for predictability

Alif Wahid, Christopher Leckie, Chenfeng Zhou

Journal article  |  2011  |  Concurrency and Computation-Practice and Experience

Spatio-temporal modelling-based drift-aware wireless sensor networks

M Takruri, S Rajasegarar, S Challa, C Leckie, M Palaniswami

Journal article  |  2011  |  IET Wireless Sensor Systems

Anomaly Detection in Environmental Monitoring Networks

James C Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Chris Leckie, Marimuthu Palaniswami, Timothy C Havens

Journal article  |  2011  |  IEEE Computational Intelligence Magazine

Meta-analysis of gene expression microarrays with missing replicates

Fan Shi, Gad Abraham, Christopher Leckie, Izhak Haviv, Adam Kowalczyk

Journal article  |  2011  |  BMC Bioinformatics

Approximate pairwise clustering for large data sets via sampling plus extension

Liang Wang, Christopher Leckie, Ramamohanarao Kotagiri, James Bezdek

Journal article  |  2011  |  Pattern Recognition

Hierarchical Summarization Techniques for Network Traffic

AN Mahmood, C Leckie, R Islam, Z Tari

Conference Proceedings  |  2011  |  2011 6th IEEE Conference on Industrial Electronics and Applications

An efficient approach to detecting concept-evolution in network data streams

N ERFANIAN SAEEDI, S Rajasegarar, CA Leckie

Conference Proceedings  |  2011  |  Proceedings of the Australasian Telecommunication Networks and Applications Conference, ATNAC 2011

Clustering ellipses for anomaly detection

Masud Moshtaghi, Timothy C Havens, James C Bezdek, Laurence Park, Christopher Leckie, Sutharshan Rajasegarar, James M Keller, Marimuthu Palaniswami

Journal article  |  2011  |  Pattern Recognition

Comparative analysis of HTTP anomaly detection algorithms: DFA vs N-Grams

L Lin, C Leckie, C Zhou

Conference Proceedings  |  2010  |  Proceedings of the 4th International Conference on Network and System Security 2010

Performance evaluation of a converge-cast protocol for IEEE 802.15.4 tree-based networks

X Liu, C Leckie, SK Saleem

Conference Proceedings  |  2010  |  Proceedings of the 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2010

Labelled data collection for anomaly detection in wireless sensor networks

S Suthaharan, M Alzahrani, S Rajasegarar, C Leckie, M Palaniswami

Conference Proceedings  |  2010  |  Proceedings of the 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2010

Distributed training of multiclass conic-segmentation support vector machines on communication constrained networks

S Rajasegarar, A Shilton, C Leckie, R Kotagiri, M Palaniswami

Conference Proceedings  |  2010  |  Proceedings of the 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2010

Sensor data boundary estimation for anomaly detection in wireless sensor networks

S Suthaharan, C Leckie, M Moshtaghi, S Karunasekera, S Rajasegarar

Conference Proceedings  |  2010  |  Proceedings of the 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems 2010

Action recognition using space-time shape difference images

H Qu, L Wang, C Leckie

Conference Proceedings  |  2010  |  Proceedings of the 20th International Conference on Pattern Recognition 2010

Encoding actions via quantized vocabulary of averaged silhouettes

L Wang, C Leckie

Conference Proceedings  |  2010  |  Proceedings of the 20th International Conference on Pattern Recognition 2010

Combining real and virtual graphs to enhance data clustering

L Wang, C Leckie, R Kotagiri

Conference Proceedings  |  2010  |  Proceedings - International Conference on Pattern Recognition

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning

Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, Kotagiri Ramamohanarao

Journal article  |  2010  |  IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

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

Conference Proceedings  |  2010  |  Proceedings of the 2nd International Workshop on Machine Learning in Systems Biology 2008

Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks

Sutharshan Rajasegarar, Christopher Leckie, James C Bezdek, Marimuthu Palaniswami

Journal article  |  2010  |  IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

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

Journal article  |  2010  |  Journal of Network and Computer Applications

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

Journal article  |  2010  |  Bioinformatics

A survey of coordinated attacks and collaborative intrusion detection

Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera

Journal article  |  2010  |  COMPUTERS & SECURITY

A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer

F SHI, CAL Leckie, GJM Macintyre, I Haviv, A Boussioutas, AK Kowalczyk

Journal article  |  2010  |  BMC Bioinformatics

Detecting Data Anomalies in Wireless Sensor Networks

S RAJASEGARAR, C LECKIE, M PALANISWAMI

Book Chapter  |  2010

Clustering elliptical anomalies in sensor networks

James C Bezdek, Timothy C Havens, James M Keller, Chris Leckie, Laurence Park, Marimuthu Palaniswami, Sutharshan Rajasegarar

Conference Proceedings  |  2010  |  2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010)

iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment

Liang Wang, Uyen TV Nguyen, James C Bezdek, Christopher A Leckie, Kotagiri Ramamohanarao

Conference Proceedings  |  2010  |  ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT I, PROCEEDINGS

Action recognition via multi-feature fusion and Gaussian process classification

L Wang, H Zhou, SC Low, C Leckie

Conference Proceedings  |  2009  |  Applications of Computer Vision (WACV), 2009 Workshop on

Elliptical Anomalies in Wireless Sensor Networks

Sutharshan Rajasegarar, James C Bezdek, Christopher Leckie, Marimuthu Palaniswami

Journal article  |  2009  |  ACM TRANSACTIONS ON SENSOR NETWORKS

A query based approach for mining evolving graphs

A Kan, J Chan, J Bailey, C Leckie

Conference Proceedings  |  2009  |  Data Mining and Analytics: Proceedings of the 8th Australasian Data Mining Conference (AusDM 2009)

Protecting SIP Server from CPU-Based DoS Attacks using History-Based IP Filtering

Chenfeng Vincent Zhou, Christopher Leckie, Kotagiri Ramamohanarao

Journal article  |  2009  |  IEEE COMMUNICATIONS LETTERS

Decentralized multi-dimensional alert correlation for collaborative intrusion detection

Chenfeng Vincent Zhou, Christopher Leckie, Shanika Karunasekera

Journal article  |  2009  |  Journal of Network and Computer Applications

Cost Comparison of Optical Circuit-Switched and Burst-Switched Networks

Rajendran Parthiban, Christopher Leckie, Andrew Zalesky, Moshe Zukerman, Rodney S Tucker

Journal article  |  2009  |  JOURNAL OF LIGHTWAVE TECHNOLOGY

Visualization of clusters in very large rectangular dissimilarity data

LAF Park, JC Bezdek, CA Leckie

Conference Proceedings  |  2009  |  ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents

Automatically Determining the Number of Clusters in Unlabeled Data Sets

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James Bezdek

Journal article  |  2009  |  IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

One of the major problems in cluster analysis is the determination of the number of clusters in unlabeled data, which is a basic i..

Visualization of Clusters in Very Large Rectangular Dissimilarity Data

Laurence AF Park, James C Bezdek, Christopher A Leckie

Conference Proceedings  |  2009  |  PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOTS AND AGENTS

Approximate Spectral Clustering

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James Bezdek

Conference Proceedings  |  2009  |  Advances in Knowledge Discovery and Data Mining (Lecture Notes in Computer Science)

Anomaly Detection by Clustering Ellipsoids in Wireless Sensor Networks

Masud Moshtaghi, Sutharshan Rajasegarar, Christopher Leckie, Shanika Karunasekera

Conference Proceedings  |  2009  |  Proceedings of 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs

Jeffrey Chan, James Bailey, Christopher Leckie

Journal article  |  2009  |  INTELLIGENT DATA ANALYSIS

Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis

Laurence AF Park, Christopher A Leckie, Kotagiri Ramamohanarao, James C Bezdek

Conference Proceedings  |  2009  |  Lecture Notes in Artificial Intelligence: AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference

Collaborative detection of fast flux phishing domains

CV Zhou, C Leckie, S Karunasekera

Journal article  |  2009  |  Journal of Networks

Characterising the Evolution in Scanning Activity of Suspicious Hosts

Alif Wahid, Christopher Leckie, Chenfeng Zhou

Conference Proceedings  |  2009  |  NSS: 2009 3RD INTERNATIONAL CONFERENCE ON NETWORK AND SYSTEM SECURITY

Anomaly Detection by Clustering Ellipsoids in Wireless Sensor Networks

Masud Moshtaghi, Sutharshan Rajasegarar, Christopher Leckie, Shanika Karunasekera

Conference Proceedings  |  2009  |  2009 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING (ISSNIP 2009)

Multiple-input single-output FIFO optical buffers with controllable fractional delay lines

G Das, Rodney S Tucker, C Leckie, K Hinton

Journal article  |  2008  |  Optics Express

Online drift correction in wireless sensor networks using spatio-temporal modeling

M Takruri, S Rajasegarar, S Challa, C Leckie, M Palaniswami

Conference Proceedings  |  2008  |  Proceedings of the 11th International Conference on Information Fusion

A self-healing, self-protecting collaborative intrusion detection architecture to trace-back fast-flux phishing domains

CV Zhou, C Leckie, S Karunasekera, T Peng

Conference Proceedings  |  2008  |  2008 IEEE Network Operations and Management Symposium Workshops - NOMS 08

Anomaly detection in wireless sensor networks

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Journal article  |  2008  |  IEEE WIRELESS COMMUNICATIONS

Discovering correlated spatio-temporal changes in evolving graphs

Jeffrey Chan, James Bailey, Christopher Leckie

Journal article  |  2008  |  KNOWLEDGE AND INFORMATION SYSTEMS

An efficient clustering scheme to exploit hierarchical data in network traffic analysis

Abdun Naser Mahmood, Christopher Leckie, Parampalli Udaya

Journal article  |  2008  |  IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Selective sampling for approximate clustering of very large data sets

Liang Wang, James C Bezdek, Christopher Leckie, Ramamohanarao Kotagiri

Journal article  |  2008  |  International Journal of Intelligent Systems

Characteristic-based descriptors for motion sequence recognition

Liang Wang, Xiaozhe Wang, Christopher Leckie, Kotagiri Ramamohanarao

Conference Proceedings  |  2008  |  ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS

SpecVAT: Enhanced Visual Cluster Analysis

Liang Wang, Xin Geng, James Bezdek, Christopher Leckie, Ramamohanarao Kotagiri

Conference Proceedings  |  2008  |  Proceedings of the Eighth IEEE International Conference on Data Mining

Relieving hot spots in collaborative intrusion detection systems during worm outbreaks

Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie

Conference Proceedings  |  2008  |  2008 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, VOLS 1 AND 2

CESVM: Centered hyperellipsoidal support vector machine based anomaly detection

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami

Conference Proceedings  |  2008  |  Proceedings of the IEEE International Conference on Communications 2008

Moving shape dynamics: A signal processing perspective

Liang Wang, Xin Geng, Christopher Leckie, Ramamohanarao Kotagiri

Conference Proceedings  |  2008  |  2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12

CPU-based DoS attacks against SIP servers

Ming Luo, Tao Peng, Christopher Leckie

Conference Proceedings  |  2008  |  2008 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, VOLS 1 AND 2

Analysis and Enhancement of On-demand Routing in Wireless Sensor Networks

Daniel P Dallas, Christopher A Leckie, Kotagiri Ramamohanarao

Conference Proceedings  |  2008  |  PM2HW2N'08: PROCEEDINGS OF THE THIRD ACM INTERNATIONAL WORKSHOP ON PERFORMANCE MONITORING, MEASUREMENT, AND EVALUATION OF HETEROGENEOUS WIRELESS AND WIRED NETWORKS

Dual Clustering for Categorization of Action Sequences

Joanna Cheng, Liang Wang, Christopher Leckie

Conference Proceedings  |  2008  |  Proceedings of the 19th International Conference on Pattern Recognition

Tensor space learning for analyzing activity patterns from video sequences

L Wang, C Leckie, X Wang, R Kotagiri, J Bezdek

Conference Proceedings  |  2007  |  Proceedings - IEEE International Conference on Data Mining, ICDM

Quarter sphere based distributed anomaly detection in wireless sensor networks

S Rajasegarar, C Leckie, M Palaniswami, JC Bezdek

Conference Proceedings  |  2007  |  2007 IEEE International Conference on Communications

Analysis of anomalies in IBRL data from a wireless sensor network deployment

S Rajasegarar, JC Bezdek, C Leckie, M Palaniswami

Conference Proceedings  |  2007  |  International Conference on Sensor Technologies and Applications SENSORCOMM 2007

Information sharing for distributed intrusion detection systems

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao

Journal article  |  2007  |  JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A scalable sampling scheme for clustering in network traffic analysis

A Mahmood, C Leckie, P Udaya

Conference Proceedings  |  2007  |  INFOSCALE 2007: The Second International Conference on Scalable Information Systems

Survey of network-based defense mechanisms countering the DoS and DDoS problems

Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao

Journal article  |  2007  |  ACM COMPUTING SURVEYS

Traffic grooming in hybrid ring-star optical networks

G Das, R Parthiban, Rodney S Tucker, C Leckie

Journal article  |  2007  |  Journal of Optical Networking

A sensor web middleware with stateful services for heterogeneous sensor network

Tomasz Kobialka, Rajkumar Buyya, Christopher Leckie, Ramamohanarao Kotagiri

Conference Proceedings  |  2007  |  ISSNIP: Proceedings of 2007 Intelligent Sensors Sensor Networks and Information Processing Conference

Hop-count monitoring: Detecting sinkhole attacks in wireless sensor networks

Daniel Dallas, Christopher Leckie, Kotagiri Ramamohanarao

Conference Proceedings  |  2007  |  Proceedings of the 2007 15th IEEE International Conference on Networks

Open sensor web architecture: Stateful web services

TSK Kobialka, RB Buyya, CAL Leckie

Conference Proceedings  |  2007  |  Proceedings of the 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2007

The curse of ease of access to the Internet

Kotagiri Ramamohanarao, Kapil Kumar Gupta, Tao Peng, Christopher Leckie

Conference Proceedings  |  2007  |  Proceedings of the third International Conference on Information Systems Security (ICISS 2007)

Evaluation of a decentralized architecture for large scale collaborative intrusion detection

Chenfeng Vincent Zhou, Shanika Karunasekera, Christopher Leckie

Conference Proceedings  |  2007  |  10th IFIP/IEEE International Symposium on Integrated Network Management

Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks

S Rajasegarar, C LECKIE, M PALANISWAMI, J Bezdek

Conference Proceedings  |  2007  |  2007 IEEE International Conference on Communications

Paced TCP gives higher utilization with no buffers than with small buffers

G Das, RS Tucker, C Leckie, K Hinton

Conference Proceedings  |  2007  |  2007 33rd European Conference and Exhibition of Optical Communication, ECOC 2007