Issues in Active Databases. - James Bailey 001; Kotagiri Ramamohanarao (Australasian Database Conference, 1995)

Active Databases and Agent Systems - A Comparison. - James Bailey 001; Michael P. Georgeff; David B. Kemp; David Kinny; Kotagiri Ramamohanarao (Rules in Database Systems, 1995)

Abstract Interpretation of Active Rules and its Use in Termination Analysis. - James Bailey 001; Lobel Crnogorac; Kotagiri Ramamohanarao; Harald Søndergaard (ICDT, 1997)

Structural Issues in Active Rule Systems. - James Bailey 001; Guozhu Dong; Kotagiri Ramamohanarao (ICDT, 1997)

Decidability and Undecidability Results for the Termination Problem of Active Database Rules. - James Bailey 001; Guozhu Dong; Kotagiri Ramamohanarao (PODS, 1998)

Incremental View Maintenance By Base Relation Tagging in Distributed Databases. - James Bailey 001; Guozhu Dong; Mukesh K. Mohania; Xiaoyang Sean Wang (Distributed Parallel Databases, 1998)

An Abstract Interpretation Framework for Termination Analysis of Active Rules. - James Bailey 001; Alexandra Poulovassilis (DBPL, 1999)

Decidability of First-Order Logic Queries over Views. - James Bailey 001; Guozhu Dong (ICDT, 1999)

Abstract Interpretation for Termination Analysis in Functional Active Databases. - James Bailey 001; Alexandra Poulovassilis (J. Intell. Inf. Syst., 1999)

A Dynamic Approach to Termination Analysis for Active Database Rules. - James Bailey 001; Alexandra Poulovassilis; Peter Newson (Computational Logic, 2000)

Optimising Active Database Rules by Partial Evaluation and Abstract Interpretation. - James Bailey 001; Alexandra Poulovassilis; Simon Courtenage (DBPL, 2001)

Transaction Oriented Computational Models for Multi-Agent Systems. - Kotagiri Ramamohanarao; James Bailey 001; Paolo Busetta (ICTAI, 2001)

Fast Algorithms for Mining Emerging Patterns. - James Bailey 001; Thomas Manoukian; Kotagiri Ramamohanarao (PKDD, 2002)

An event-condition-action language for XML. - James Bailey 001; Alexandra Poulovassilis; Peter T. Wood (WWW, 2002)

Analysis and optimisation of event-condition-action rules on XML. - James Bailey 001; Alexandra Poulovassilis; Peter T. Wood (Comput. Networks, 2002)

Discovery of Emerging Patterns and Their Use in Classification. - Kotagiri Ramamohanarao; James Bailey 001 (Australian Conference on Artificial Intelligence, 2003)

A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns. - James Bailey 001; Thomas Manoukian; Kotagiri Ramamohanarao (ICDM, 2003)

Classification Using Constrained Emerging Patterns. - James Bailey 001; Thomas Manoukian; Kotagiri Ramamohanarao (WAIM, 2003)

CodeX: An Approach for Debugging XSLT Transformations. - Eric Bae; James Bailey 001 (WISE, 2003)

An Event-Condition-Action Language for XML. - James Bailey 001; George Papamarkos; Alexandra Poulovassilis; Peter T. Wood (Web Dynamics, 2004)

Static Analysis of XSLT Programs. - Ce Dong; James Bailey 001 (ADC, 2004)

Managing Semantic Compensation in a Multi-agent System. - Amy Unruh; James Bailey 001; Kotagiri Ramamohanarao (CoopIS/DOA/ODBASE (1), 2004)

XSLTGen: A System for Automatically Generating XML Transformations via Semantic Mappings. - Stella Waworuntu; James Bailey 001 (ER, 2004)

ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm. - Roger Ming Hieng Ting; James Bailey 001; Kotagiri Ramamohanarao (PAKDD, 2004)

Optimization of XML Transformations Using Template Specialization. - Ce Dong; James Bailey 001 (WISE, 2004)

On the decidability of the termination problem of active database systems. - James Bailey 001; Guozhu Dong; Kotagiri Ramamohanarao (Theor. Comput. Sci., 2004)

Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints. - Xiaonan Ji; James Bailey 001; Guozhu Dong (ICDM, 2005)

Discovery of Minimal Unsatisfiable Subsets of Constraints Using Hitting Set Dualization. - James Bailey 001; Peter J. Stuckey (PADL, 2005)

Flavours of XChange, a Rule-Based Reactive Language for the (Semantic) Web. - James Bailey 001; François Bry; Michael Eckert; Paula-Lavinia Patranjan (RuleML, 2005)

Web and Semantic Web Query Languages: A Survey. - James Bailey 001; François Bry; Tim Furche; Sebastian Schaffert (Reasoning Web, 2005)

Optimization of XSLT by Compact Specialization and Combination. - Ce Dong; James Bailey 001 (WISE, 2005)

Composite event queries for reactivity on the web. - James Bailey 001; François Bry; Paula-Lavinia Patranjan (WWW (Special interest tracks and posters), 2005)

Clustering Similarity Comparison Using Density Profiles. - Eric Bae; James Bailey 001; Guozhu Dong (Australian Conference on Artificial Intelligence, 2006)

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

A Framework for Integrating XML Transformations. - Ce Dong; James Bailey 001 (ER, 2006)

A Logging-Based Approach for Building More Robust Multi-agent Systems. - Amy Unruh; James Bailey 001; Kotagiri Ramamohanarao (IAT, 2006)

COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity. - Eric Bae; James Bailey 001 (ICDM, 2006)

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

Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams. - Elsa Loekito; James Bailey 001 (KDD, 2006)

Mining Minimal Contrast Subgraph Patterns. - Roger Ming Hieng Ting; James Bailey 001 (SDM, 2006)

Merging Dynamic Functionality: Integration of XML Transformations. - James Bailey 001; Ce Dong (APCCM, 2007)

Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets? - Elsa Loekito; James Bailey 001 (AusDM, 2007)

An Efficient Technique for Mining Approximately Frequent Substring Patterns. - Xiaonan Ji; James Bailey 001 (ICDM Workshops, 2007)

Mining, Ranking, and Using Acronym Patterns. - Xiaonan Ji; Gu Xu; James Bailey 001; Hang Li 001 (APWeb, 2008)

Mining influential attributes that capture class and group contrast behaviour. - Elsa Loekito; James Bailey 001 (CIKM, 2008)

Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics. - Md. Rafiul Hassan; M. Maruf Hossain; James Bailey 001; Kotagiri Ramamohanarao (ECML/PKDD (1), 2008)

g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines. - Xiaonan Ji; James Bailey 001; Kotagiri Ramamohanarao (PRIB, 2008)

Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer. - Geoff MacIntyre; James Bailey 001; Daniel Gustafsson; Alex Boussioutas; Izhak Haviv; Adam Kowalczyk (PRIB, 2008)

ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data. - M. Maruf Hossain; Md. Rafiul Hassan; James Bailey 001 (SDM, 2008)

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

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

Information theoretic measures for clusterings comparison: is a correction for chance necessary? - Xuan Vinh Nguyen; Julien Epps; James Bailey 001 (ICML, 2009)

Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?. - Elsa Loekito; James Bailey 001 (PAKDD, 2009)

Feature Weighted SVMs Using Receiver Operating Characteristics. - Shaoyi Zhang; M. Maruf Hossain; Md. Rafiul Hassan; James Bailey 001; Kotagiri Ramamohanarao (SDM, 2009)

A voting approach to identify a small number of highly predictive genes using multiple classifiers. - Md. Rafiul Hassan; M. Maruf Hossain; James Bailey 001; Geoff MacIntyre; Joshua Wing Kei Ho; Kotagiri Ramamohanarao (BMC Bioinform., 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)

Building more robust multi-agent systems using a log-based approach. - Amy Unruh; James Bailey 001; Kotagiri Ramamohanarao (Web Intell. Agent Syst., 2009)

Semantic Web Query Languages. - James Bailey 001; François Bry; Tim Furche; Sebastian Schaffert (Encyclopedia of Database Systems, 2009)

A Framework for Goal-Based Semantic Compensation in Agent Systems. - Amy Unruh; James Bailey 001; Kotagiri Ramamohanarao (Safety and Security in Multiagent Systems, 2009)

Classification of Melanoma Lesions Using Wavelet-Based Texture Analysis. - Rahil Garnavi; Mohammad Aldeen; James Bailey 001 (DICTA, 2010)

Mining distribution change in stock order streams. - Xiaoyan Liu; Xindong Wu 001; Huaiqing Wang; Rui Zhang 003; James Bailey 001; Kotagiri Ramamohanarao (ICDE, 2010)

A hierarchical information theoretic technique for the discovery of non linear alternative clusterings. - Xuan-Hong Dang; James Bailey 001 (KDD, 2010)

A Novel Scalable Multi-class ROC for Effective Visualization and Computation. - Md. Rafiul Hassan; Kotagiri Ramamohanarao; Chandan K. Karmakar; M. Maruf Hossain; James Bailey 001 (PAKDD (1), 2010)

Generation of Alternative Clusterings Using the CAMI Approach. - Xuan-Hong Dang; James Bailey 001 (SDM, 2010)

MIRAGAA - a methodology for finding coordinated effects of microRNA expression changes and genome aberrations in cancer. - Raj K. Gaire; James Bailey 001; Jennifer Bearfoot; Ian G. Campbell; Peter J. Stuckey; Izhak Haviv (Bioinform., 2010)

is-rSNP: a novel technique for in silico regulatory SNP detection. - Geoff MacIntyre; James Bailey 001; Izhak Haviv; Adam Kowalczyk (Bioinform., 2010)

is-rSNP: a novel technique for in silico regulatory SNP detection. - Geoff MacIntyre; James Bailey 001; Izhak Haviv; Adam Kowalczyk (BMC Bioinform., 2010)

A fast indexing approach for protein structure comparison. - Lei Zhang; James Bailey 001; Arun Siddharth Konagurthu; Kotagiri Ramamohanarao (BMC Bioinform., 2010)

A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings. - Eric Bae; James Bailey 001; Guozhu Dong (Data Min. Knowl. Discov., 2010)

Classifying proteins using gapped Markov feature pairs. - Xiaonan Ji; James Bailey 001; Kotagiri Ramamohanarao (Neurocomputing, 2010)

Efficient incremental mining of contrast patterns in changing data. - James Bailey 001; Elsa Loekito (Inf. Process. Lett., 2010)

Enhancing the B+-tree by dynamic node popularity caching. - Cui Yu; James Bailey 001; Julian Montefusco; Rui Zhang 003; Jiling Zhong (Inf. Process. Lett., 2010)

Document clustering of scientific texts using citation contexts. - Bader Aljaber; Nicola Stokes; James Bailey 001; Jian Pei 001 (Inf. Retr., 2010)

Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance. - Xuan Vinh Nguyen; Julien Epps; James Bailey 001 (J. Mach. Learn. Res., 2010)

A binary decision diagram based approach for mining frequent subsequences. - Elsa Loekito; James Bailey 001; Jian Pei 001 (Knowl. Inf. Syst., 2010)

Using Gene Ontology annotations in exploratory microarray clustering to understand cancer etiology. - Geoff MacIntyre; James Bailey 001; Daniel Gustafsson; Izhak Haviv; Adam Kowalczyk (Pattern Recognit. Lett., 2010)

Logical queries over views: Decidability and expressiveness. - James Bailey 001; Guozhu Dong; Anthony Widjaja To (ACM Trans. Comput. Log., 2010)

Distribution Based Data Filtering for Financial Time Series Forecasting. - Goce Ristanoski; James Bailey 001 (Australasian Conference on Artificial Intelligence, 2011)

Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book. - Guozhu Dong; James Bailey 001 (ICDM Workshops, 2011)

Improving MeSH classification of biomedical articles using citation contexts. - Bader Aljaber; David Martínez 001; Nicola Stokes; James Bailey 001 (J. Biomed. Informatics, 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)

Extracting significant places from mobile user GPS trajectories: a bearing change based approach. - Tanusri Bhattacharya; Lars Kulik; James Bailey 001 (SIGSPATIAL/GIS, 2012)

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

Multiple Clustering Views via Constrained Projections. - Xuan-Hong Dang; Ira Assent; James Bailey 001 (MultiClust@SDM, 2012)

Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge. - Xiuzhen Zhang 001; Yun Zhou 002; James Bailey 001; Kotagiri Ramamohanarao (WISE, 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)

Computer-Aided Diagnosis of Melanoma Using Border- and Wavelet-Based Texture Analysis. - Rahil Garnavi; Mohammad Aldeen; James Bailey 001 (IEEE Trans. Inf. Technol. Biomed., 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)

Alternative Clustering Analysis: A Review. - James Bailey 001 (Data Clustering: Algorithms and Applications, 2013)

Statistical Measures for Contrast Patterns. - James Bailey 001 (Contrast Data Mining, 2013)

Mining Emerging Patterns from Structured Data. - James Bailey 001 (Contrast Data Mining, 2013)

Mining Emerging Patterns Using Zero-Suppressed Binary Decision Diagrams. - James Bailey 001; Elsa Loekito (Contrast Data Mining, 2013)

Mining Emerging Patterns Using Tree Structures or Tree Based Searches. - James Bailey 001; Kotagiri Ramamohanarao (Contrast Data Mining, 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)

Discrimination aware classification for imbalanced datasets. - Goce Ristanoski; Wei Liu 007; James Bailey 001 (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)

Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases. - Yuxuan Li 001; James Bailey 001; Lars Kulik; Jian Pei 001 (ICDM, 2013)

A time-dependent enhanced support vector machine for time series regression. - Goce Ristanoski; Wei Liu 007; James Bailey 001 (KDD, 2013)

Constructive Real Time Feedback for a Temporal Bone Simulator. - Yun Zhou 002; James Bailey 001; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; Gregor E. Kennedy; Stephen J. O'Leary (MICCAI (3), 2013)

Time Series Forecasting Using Distribution Enhanced Linear Regression. - Goce Ristanoski; Wei Liu 007; James Bailey 001 (PAKDD (1), 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)

Mining multidimensional contextual outliers from categorical relational data. - Guanting Tang; James Bailey 001; Jian Pei 001; Guozhu Dong (SSDBM, 2013)

Pattern-based real-time feedback for a temporal bone simulator. - Yun Zhou 002; James Bailey 001; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; Stephen J. O'Leary; Gregor E. Kennedy (VRST, 2013)

Discovery and analysis of consistent active sub-networks in cancers. - Raj K. Gaire; Lorey Smith; Patrick Humbert; James Bailey 001; Peter J. Stuckey; Izhak Haviv (BMC Bioinform., 2013)

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

Comments on supervised feature selection by clustering using conditional mutual information-based distances. - Xuan Vinh Nguyen; James Bailey 001 (Pattern Recognit., 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)

Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. - Xuan Vinh Nguyen; Jeffrey Chan; James Bailey 001 (AAAI, 2014)

Generalized information theoretic cluster validity indices for soft clusterings. - Yang Lei 003; James C. Bezdek; Jeffrey Chan; Xuan Vinh Nguyen; Simone Romano 003; James Bailey 001 (CIDM, 2014)

Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. - Jiazhen He; James Bailey 001; Rui Zhang 003 (DASFAA (2), 2014)

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

Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance. - Simone Romano 003; James Bailey 001; Xuan Vinh Nguyen; Karin Verspoor (ICML, 2014)

Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration. - Yun Zhou 002; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; James Bailey 001; Patorn Piromchai; Gregor E. Kennedy; Stephen J. O'Leary (ICPR, 2014)

Effective global approaches for mutual information based feature selection. - Xuan Vinh Nguyen; Jeffrey Chan; Simone Romano 003; James Bailey 001 (KDD, 2014)

A Temporal Bone Surgery Simulator with Real-Time Feedback for Surgical Training. - Sudanthi N. R. Wijewickrema; Ioanna Ioannou; Yun Zhou 002; Patorn Piromchai; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (MMVR, 2014)

A context-aware do-not-disturb service for mobile devices. - Yujue Qin; Tanusri Bhattacharya; Lars Kulik; James Bailey 001 (MUM, 2014)

Is this you?: identifying a mobile user using only diagnostic features. - Anthony Quattrone; Tanusri Bhattacharya; Lars Kulik; Egemen Tanin; James Bailey 001 (MUM, 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)

Mining Contrast Subspaces. - Lei Duan; Guanting Tang; Jian Pei 001; James Bailey 001; Guozhu Dong; Akiko Campbell; Changjie Tang (PAKDD (1), 2014)

FILTA: Better View Discovery from Collections of Clusterings via Filtering. - Yang Lei 003; Xuan Vinh Nguyen; Jeffrey Chan; James Bailey 001 (ECML/PKDD (2), 2014)

Improved Feature Transformations for Classification Using Density Estimation. - Yamuna Kankanige; James Bailey 001 (PRICAI, 2014)

Efficient Matching of Substrings in Uncertain Sequences. - Yuxuan Li 001; James Bailey 001; Lars Kulik; Jian Pei 001 (SDM, 2014)

Generating multiple alternative clusterings via globally optimal subspaces. - Xuan-Hong Dang; James Bailey 001 (Data Min. Knowl. Discov., 2014)

Identifying At-Risk Students in Massive Open Online Courses. - Jiazhen He; James Bailey 001; Benjamin I. P. Rubinstein; Rui Zhang 003 (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)

Region-Specific Automated Feedback in Temporal Bone Surgery Simulation. - Sudanthi N. R. Wijewickrema; Ioanna Ioannou; Yun Zhou 002; Patorn Piromchai; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2015)

Trajectory inference for mobile devices using connected cell towers. - Kushani Perera; Tanusri Bhattacharya; Lars Kulik; James Bailey 001 (SIGSPATIAL/GIS, 2015)

How private can i be among public users? - Elham Naghizade; James Bailey 001; Lars Kulik; Egemen Tanin (UbiComp, 2015)

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

Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data. - Zilu Liang; Wanyu Liu 001; Bernd Ploderer; James Bailey 001; Lars Kulik; Yuxuan Li 001 (JSAI-isAI Workshops, 2015)

Automated Segmentation of Surgical Motion for Performance Analysis and Feedback. - Yun Zhou 002; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (MICCAI (1), 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)

Generalized Modularity for Community Detection. - Mohadeseh Ganji; Abbas Seifi; Hosein Alizadeh; James Bailey 001; Peter J. Stuckey (ECML/PKDD (2), 2015)

A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization. - Chia-Tung Kuo; James Bailey 001; Ian Davidson (SDM, 2015)

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

Mining outlying aspects on numeric data. - Lei Duan; Guanting Tang; Jian Pei 001; James Bailey 001; Akiko Campbell; Changjie Tang (Data Min. Knowl. Discov., 2015)

Efficient mining of platoon patterns in trajectory databases. - Yuxuan Li 001; James Bailey 001; Lars Kulik (Data Knowl. Eng., 2015)

Enriched spatial comparison of clusterings through discovery of deviating subspaces. - Eric Bae; James Bailey 001 (Mach. Learn., 2015)

A framework to uncover multiple alternative clusterings. - Xuan-Hong Dang; James Bailey 001 (Mach. Learn., 2015)

Automatically recognizing places of interest from unreliable GPS data using spatio-temporal density estimation and line intersections. - Tanusri Bhattacharya; Lars Kulik; James Bailey 001 (Pervasive Mob. Comput., 2015)

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

MOOCs Meet Measurement Theory: A Topic-Modelling Approach. - Jiazhen He; Benjamin I. P. Rubinstein; James Bailey 001; Rui Zhang 003; Sandra Milligan; Jeffrey Chan (AAAI, 2016)

SLA-based profit optimization for resource management of big data analytics-as-a-service platforms in cloud computing environments. - Yali Zhao; Rodrigo N. Calheiros; James Bailey 001; Richard O. Sinnott (IEEE BigData, 2016)

Measuring dependency via intrinsic dimensionality. - Simone Romano 003; Oussama Chelly; Vinh Nguyen 003; James Bailey 001; Michael E. Houle (ICPR, 2016)

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

Robust Domain Generalisation by Enforcing Distribution Invariance. - Sarah M. Erfani; Mahsa Baktashmotlagh; Masud Moshtaghi; Vinh Nguyen 003; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (IJCAI, 2016)

Accelerating Online CP Decompositions for Higher Order Tensors. - Shuo Zhou 001; Xuan Vinh Nguyen; James Bailey 001; Yunzhe Jia; Ian Davidson (KDD, 2016)

Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. - Sandra Milligan; Jiazhen He; James Bailey 001; Rui Zhang 003; Benjamin I. P. Rubinstein (LAK, 2016)

Real Time Autonomous Point of Interest Mining through Ambient Smartphone Sensing. - Tanusri Bhattacharya; Lars Kulik; James Bailey 001 (MobiQuitous, 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)

A Framework to Adjust Dependency Measure Estimates for Chance. - Simone Romano 003; Xuan Vinh Nguyen; James Bailey 001; Karin Verspoor (SDM, 2016)

R1STM: One-class Support Tensor Machine with Randomised Kernel. - Sarah M. Erfani; Mahsa Baktashmotlagh; Sutharshan Rajasegarar; Vinh Nguyen 003; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (SDM, 2016)

Lagrangian Constrained Clustering. - Mohadeseh Ganji; James Bailey 001; Peter J. Stuckey (SDM, 2016)

Provision of automated step-by-step procedural guidance in virtual reality surgery simulation. - Sudanthi N. R. Wijewickrema; Yun Zhou 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (VRST, 2016)

TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs. - Jiazhen He; Rui Zhang 003; James Bailey 001; Benjamin I. P. Rubinstein; Sandra Milligan (CoRR, 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)

Data science in Asia (for PAKDD 2016). - James Bailey 001; Latifur Khan; Takashi Washio (Int. J. Data Sci. Anal., 2016)

Adjusting for Chance Clustering Comparison Measures. - Simone Romano 003; Xuan Vinh Nguyen; James Bailey 001; Karin Verspoor (J. Mach. Learn. Res., 2016)

Efficient discovery of contrast subspaces for object explanation and characterization. - Lei Duan; Guanting Tang; Jian Pei 001; James Bailey 001; Guozhu Dong; Xuan Vinh Nguyen; Akiko Campbell; Changjie Tang (Knowl. Inf. Syst., 2016)

Can high-order dependencies improve mutual information based feature selection? - Xuan Vinh Nguyen; Shuo Zhou 001; Jeffrey Chan; James Bailey 001 (Pattern Recognit., 2016)

SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors. - Zilu Liang; Bernd Ploderer; Wanyu Liu 001; Yukiko Nagata; James Bailey 001; Lars Kulik; Yuxuan Li 001 (Pers. Ubiquitous Comput., 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)

From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. - Sarah M. Erfani; Mahsa Baktashmotlagh; Masud Moshtaghi; Vinh Nguyen 003; Christopher Leckie; James Bailey 001; Kotagiri Ramamohanarao (AAAI, 2017)

Unbiased Multivariate Correlation Analysis. - Yisen Wang 001; Simone Romano 003; Vinh Nguyen 003; James Bailey 001; Xingjun Ma; Shu-Tao Xia (AAAI, 2017)

Simulation for Training Cochlear Implant Electrode Insertion. - Xingjun Ma; Sudanthi N. R. Wijewickrema; Yun Zhou 002; Bridget Copson; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2017)

Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. - Sudanthi N. R. Wijewickrema; Bridget Copson; Yun Zhou 002; Xingjun Ma; Robert Briggs 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2017)

A Declarative Approach to Constrained Community Detection. - Mohadeseh Ganji; James Bailey 001; Peter J. Stuckey (CP, 2017)

SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. - Shuo Zhou 001; Sarah M. Erfani; James Bailey 001 (ICDM, 2017)

Using a Traffic Light System to Provide Feedback to IS Masters Students. - Reeva Lederman; Dora Constantinidis; Tanya Linden; Linda Corrin; Jon M. Pearce; Wally Smith; James Bailey 001 (ICIS, 2017)

Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. - Zakaria Mhammedi; Andrew D. Hellicar; Ashfaqur Rahman; James Bailey 001 (ICML, 2017)

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. - Xingjun Ma; Sudanthi N. R. Wijewickrema; Shuo Zhou 001; Yun Zhou 002; Zakaria Mhammedi; Stephen J. O'Leary; James Bailey 001 (IJCAI, 2017)

Providing Effective Real-Time Feedback in Simulation-Based Surgical Training. - Xingjun Ma; Sudanthi N. R. Wijewickrema; Yun Zhou 002; Shuo Zhou 001; Stephen J. O'Leary; James Bailey 001 (MICCAI (2), 2017)

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

A Fast and Accurate Index Structure for Spatiotemporal Trajectories. - Somayeh Naderivesal; Lars Kulik; James Bailey 001 (MobiQuitous, 2017)

Challenges of Differentially Private Release of Data Under an Open-world Assumption. - Elham Naghizade; James Bailey 001; Lars Kulik; Egemen Tanin (SSDBM, 2017)

The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. - Laurent Amsaleg; James Bailey 001; Dominique Barbe; Sarah M. Erfani; Michael E. Houle; Vinh Nguyen 003; Milos Radovanovic 001 (WIFS, 2017)

Extracting Real-time Feedback with Neural Networks for Simulation-based Learning. - Xingjun Ma; James Bailey 001; Sudanthi N. R. Wijewickrema; Shuo Zhou 001; Zakaria Mhammedi; Yun Zhou 002; Stephen J. O'Leary (CoRR, 2017)

Finding Influentials in Twitter: A Temporal Influence Ranking Model. - Xingjun Ma; Chunping Li; James Bailey 001; Sudanthi N. R. Wijewickrema (CoRR, 2017)

Feedback Techniques in Computer-Based Simulation Training: A Survey. - Sudanthi N. R. Wijewickrema; Xingjun Ma; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CoRR, 2017)

Topology-regularized universal vector autoregression for traffic forecasting in large urban areas. - Florin Schimbinschi; Luís Moreira-Matias; Xuan Vinh Nguyen; James Bailey 001 (Expert Syst. Appl., 2017)

rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. - Yang Lei 003; Xuan Vinh Nguyen; Jeffrey Chan; James Bailey 001 (Knowl. Inf. Syst., 2017)

Ground truth bias in external cluster validity indices. - Yang Lei 003; James C. Bezdek; Simone Romano 003; Xuan Vinh Nguyen; Jeffrey Chan; James Bailey 001 (Pattern Recognit., 2017)

Extending Information-Theoretic Validity Indices for Fuzzy Clustering. - Yang Lei 003; James C. Bezdek; Jeffrey Chan; Xuan Vinh Nguyen; Simone Romano 003; James Bailey 001 (IEEE Trans. Fuzzy Syst., 2017)

Lagrangian Constrained Community Detection. - Mohadeseh Ganji; James Bailey 001; Peter J. Stuckey (AAAI, 2018)

Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? - Sudanthi N. R. Wijewickrema; Xingjun Ma; Patorn Piromchai; Robert Briggs 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (AIED (1), 2018)

Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. - Sudanthi N. R. Wijewickrema; Bridget Copson; Xingjun Ma; Robert Briggs 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2018)

Iterative Learning With Open-Set Noisy Labels. - Yisen Wang 001; Weiyang Liu; Xingjun Ma; James Bailey 001; Hongyuan Zha; Le Song; Shu-Tao Xia (CVPR, 2018)

Online CP Decomposition for Sparse Tensors. - Shuo Zhou 001; Sarah M. Erfani; James Bailey 001 (ICDM, 2018)

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. - Xingjun Ma; Bo Li 026; Yisen Wang 001; Sarah M. Erfani; Sudanthi N. R. Wijewickrema; Grant Schoenebeck; Dawn Song; Michael E. Houle; James Bailey 001 (ICLR, 2018)

Dimensionality-Driven Learning with Noisy Labels. - Xingjun Ma; Yisen Wang 001; Michael E. Houle; Shuo Zhou 001; Sarah M. Erfani; Shu-Tao Xia; Sudanthi N. R. Wijewickrema; James Bailey 001 (ICML, 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)

An Automated Matrix Profile for Mining Consecutive Repeats in Time Series. - Mahtab Mirmomeni; Yousef Kowsar; Lars Kulik; James Bailey 001 (PRICAI, 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)

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. - Yisen Wang 001; Bo Dai 001; Lingkai Kong; Sarah Monazam Erfani; James Bailey 001; Hongyuan Zha (UAI, 2018)

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

The randomized information coefficient: assessing dependencies in noisy data. - Simone Romano 003; Xuan Vinh Nguyen; Karin Verspoor; James Bailey 001 (Mach. Learn., 2018)

Semantic Web Query Languages. - James Bailey 001; François Bry; Tim Furche; Sebastian Schaffert (Encyclopedia of Database Systems (2nd ed.), 2018)

SLA-Aware and Deadline Constrained Profit Optimization for Cloud Resource Management in Big Data Analytics-as-a-Service Platforms. - Yali Zhao; Rodrigo N. Calheiros; Athanasios V. Vasilakos; James Bailey 001; Richard O. Sinnott (CLOUD, 2019)

The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training. - Myles Davaris; Sudanthi N. R. Wijewickrema; Yun Zhou 002; Patorn Piromchai; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (AIED (1), 2019)

Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. - Namrata Srivastava; Eduardo Velloso; Jason M. Lodge; Sarah M. Erfani; James Bailey 001 (CHI, 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)

Profit Optimization for Splitting and Sampling Based Resource Management in Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. - Yali Zhao; Athanasios V. Vasilakos; James Bailey 001; Richard O. Sinnott (eScience, 2019)

Characterising Students' Writing Processes Using Temporal Keystroke Analysis. - Donia Malekian; James Bailey 001; Gregor E. Kennedy; Paula G. de Barba; Sadia Nawaz (EDM, 2019)

Symmetric Cross Entropy for Robust Learning With Noisy Labels. - Yisen Wang 001; Xingjun Ma; Zaiyi Chen; Yuan Luo 003; Jinfeng Yi; James Bailey 001 (ICCV, 2019)

On the Convergence and Robustness of Adversarial Training. - Yisen Wang 001; Xingjun Ma; James Bailey 001; Jinfeng Yi; Bowen Zhou 001; Quanquan Gu (ICML, 2019)

Profit Maximization and Time Minimization Admission Control and Resource Scheduling for Cloud-Based Big Data Analytics-as-a-Service Platforms. - Yali Zhao; Rodrigo N. Calheiros; Athanasios V. Vasilakos; James Bailey 001; Richard O. Sinnott (ICWS, 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)

SynthNet: Learning to Synthesize Music End-to-End. - Florin Schimbinschi; Christian Walder; Sarah M. Erfani; James Bailey 001 (IJCAI, 2019)

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

Black-box Adversarial Attacks on Video Recognition Models. - Linxi Jiang; Xingjun Ma; Shaoxiang Chen 001; James Bailey 001; Yu-Gang Jiang 001 (ACM Multimedia, 2019)

Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. - Tahrima Hashem; Lida Rashidi; James Bailey 001; Lars Kulik (SISAP, 2019)

Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. - Sukarna Barua; Xingjun Ma; Sarah Monazam Erfani; Michael E. Houle; James Bailey 001 (CoRR, 2019)

FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs. - Sukarna Barua; Sarah Monazam Erfani; James Bailey 001 (CoRR, 2019)

An effective and versatile distance measure for spatiotemporal trajectories. - Somayeh Naderivesal; Lars Kulik; James Bailey 001 (Data Min. Knowl. Discov., 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)

Classifying Attention Types with Thermal Imaging and Eye Tracking. - Yomna Abdelrahman; Anam Ahmad Khan; Joshua Newn; Eduardo Velloso; Sherine Ashraf Safwat; James Bailey 001; Andreas Bulling; Frank Vetere; Albrecht Schmidt 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

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

Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. - Jesslyn Lamtara; Nathan Hanegbi; Benjamin Talks; Sudanthi N. R. Wijewickrema; Xingjun Ma; Patorn Piromchai; James Bailey 001; Stephen J. O'Leary (AIED (1), 2020)

Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment. - Sadia Nawaz; Namrata Srivastava; Ji Hyun Yu; Ryan S. Baker 001; Gregor E. Kennedy; James Bailey 001 (AIED (1), 2020)

Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. - Ranjie Duan; Xingjun Ma; Yisen Wang 001; James Bailey 001; A. Kai Qin; Yun Yang 001 (CVPR, 2020)

Clean-Label Backdoor Attacks on Video Recognition Models. - Shihao Zhao; Xingjun Ma; Xiang Zheng; James Bailey 001; Jingjing Chen 001; Yu-Gang Jiang 001 (CVPR, 2020)

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. - Yunfei Liu 001; Xingjun Ma; James Bailey 001; Feng Lu 005 (ECCV (10), 2020)

Improving Adversarial Robustness Requires Revisiting Misclassified Examples. - Yisen Wang 001; Difan Zou; Jinfeng Yi; James Bailey 001; Xingjun Ma; Quanquan Gu (ICLR, 2020)

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. - Dongxian Wu; Yisen Wang 001; Shu-Tao Xia; James Bailey 001; Xingjun Ma (ICLR, 2020)

Normalized Loss Functions for Deep Learning with Noisy Labels. - Xingjun Ma; Hanxun Huang; Yisen Wang 001; Simone Romano 003; Sarah M. Erfani; James Bailey 001 (ICML, 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)

Prediction of students' assessment readiness in online learning environments: the sequence matters. - Donia Malekian; James Bailey 001; Gregor E. Kennedy (LAK, 2020)

Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. - Namrata Srivastava; Sadia Nawaz; Jason M. Lodge; Eduardo Velloso; Sarah M. Erfani; James Bailey 001 (LAK, 2020)

The importance and meaning of session behaviour in a MOOC. - Paula G. de Barba; Donia Malekian; Eduardo Araujo Oliveira; James Bailey 001; Tracii Ryan; Gregor E. Kennedy (Comput. Educ., 2020)

Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. - Linxi Jiang; Xingjun Ma; Zejia Weng; James Bailey 001; Yu-Gang Jiang 001 (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)

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)

Using voice note-taking to promote learners' conceptual understanding. - Anam Ahmad Khan; Sadia Nawaz; Joshua Newn; Jason M. Lodge; James Bailey 001; Eduardo Velloso (CoRR, 2020)

PRESS: A personalised approach for mining top-k groups of objects with subspace similarity. - Tahrima Hashem; Lida Rashidi; Lars Kulik; James Bailey 001 (Data Knowl. Eng., 2020)

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

Privacy- and Context-aware Release of Trajectory Data. - Elham Naghizade; Lars Kulik; Egemen Tanin; James Bailey 001 (ACM Trans. Spatial Algorithms Syst., 2020)

Moments of Confusion in Simulation-Based Learning Environments. - Sadia Nawaz; Gregor E. Kennedy; James Bailey 001; Chris Mead (J. Learn. Anal., 2020)

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. - Xinghao Yang; Weifeng Liu 001; James Bailey 001; Dacheng Tao; Wei Liu 007 (AAAI, 2021)

Generating Deep Networks Explanations with Robust Attribution Alignment. - Guohang Zeng; Yousef Kowsar; Sarah M. Erfani; James Bailey 001 (ACML, 2021)

Individual Feral Cat Identification through Deep Learning. - Zihan Yang 001; Richard O. Sinnott; Qiuhong Ke; James Bailey 001 (BDCAT, 2021)

Unlearnable Examples: Making Personal Data Unexploitable. - Hanxun Huang; Xingjun Ma; Sarah Monazam Erfani; James Bailey 001; Yisen Wang 001 (ICLR, 2021)

Neural Architecture Search via Combinatorial Multi-Armed Bandit. - Hanxun Huang; Xingjun Ma; Sarah M. Erfani; James Bailey 001 (IJCNN, 2021)

Dual Head Adversarial Training. - Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; James Bailey 001 (IJCNN, 2021)

A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series. - Mahtab Mirmomeni; Lars Kulik; James Bailey 001 (IJCNN, 2021)

Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. - Namrata Srivastava; Sadia Nawaz; Joshua Newn; Jason M. Lodge; Eduardo Velloso; Sarah M. Erfani; Dragan Gasevic; James Bailey 001 (LAK, 2021)

$ alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. - Jiabo He; Sarah M. Erfani; Xingjun Ma; James Bailey 001; Ying Chi; Xian-Sheng Hua 001 (NeurIPS, 2021)

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. - Hanxun Huang; Yisen Wang 001; Sarah M. Erfani; Quanquan Gu; James Bailey 001; Xingjun Ma (NeurIPS, 2021)

Relationships Between Local Intrinsic Dimensionality and Tail Entropy. - James Bailey 001; Michael E. Houle; Xingjun Ma (SISAP, 2021)

Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions. - Nodens Koren; Qiuhong Ke; Yisen Wang 001; James Bailey 001; Xingjun Ma (CoRR, 2021)

What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space. - Shihao Zhao; Xingjun Ma; Yisen Wang 001; James Bailey 001; Bo Li 026; Yu-Gang Jiang 001 (CoRR, 2021)

Semantic-Preserving Adversarial Text Attacks. - Xinghao Yang; Weifeng Liu 001; James Bailey 001; Tianqing Zhu; Dacheng Tao; Wei Liu 007 (CoRR, 2021)

Understanding adversarial attacks on deep learning based medical image analysis systems. - Xingjun Ma; Yuhao Niu; Lin Gu 003; Yisen Wang 001; Yitian Zhao; James Bailey 001; Feng Lu 005 (Pattern Recognit., 2021)

SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. - Yali Zhao; Rodrigo N. Calheiros; Graeme Gange; James Bailey 001; Richard O. Sinnott (IEEE Trans. Cloud Comput., 2021)

High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. - Laurent Amsaleg; James Bailey 001; Amélie Barbe; Sarah M. Erfani; Teddy Furon; Michael E. Houle; Milos Radovanovic 001; Xuan Vinh Nguyen (IEEE Trans. Inf. Forensics Secur., 2021)

GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking. - Anam Ahmad Khan; Joshua Newn; Ryan M. Kelly 001; Namrata Srivastava; James Bailey 001; Eduardo Velloso (ACM Trans. Comput. Hum. Interact., 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)

De Novo Molecular Generation with Stacked Adversarial Model. - Yuansan Liu; James Bailey 001 (AI, 2022)

Integrating Gaze and Speech for Enabling Implicit Interactions. - Anam Ahmad Khan; Joshua Newn; James Bailey 001; Eduardo Velloso (CHI, 2022)

To type or to speak? The effect of input modality on text understanding during note-taking. - Anam Ahmad Khan; Sadia Nawaz; Joshua Newn; Ryan M. Kelly 001; Jason M. Lodge; James Bailey 001; Eduardo Velloso (CHI, 2022)

Deep Learning for Search and Recommendation. - Wei Liu 007; Kexin Xie; Linsey Pang; James Bailey 001; Longbing Cao; Yuxi Zhang (CIKM, 2022)

IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition. - Yunsheng Pang; Qiuhong Ke; Hossein Rahmani 001; James Bailey 001; Jun Liu 036 (ECCV (25), 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)

How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment. - Sadia Nawaz; Namrata Srivastava; Ji Hyun Yu; Anam Ahmad Khan; Gregor E. Kennedy; James Bailey 001; Ryan Shaun Baker (Int. J. Artif. Intell. Educ., 2022)

A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks. - Zihan Yang 001; Richard O. Sinnott; James Bailey 001; Qiuhong Ke (CoRR, 2022)

Local Intrinsic Dimensionality, Entropy and Statistical Divergences. - James Bailey 001; Michael E. Houle; Xingjun Ma (Entropy, 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)

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

Efficiently Learning Spatial Indices. - Guanli Liu; Jianzhong Qi 001; Christian S. Jensen; James Bailey 001; Lars Kulik (ICDE, 2023)

Distilling Cognitive Backdoor Patterns within an Image. - Hanxun Huang; Xingjun Ma; Sarah Monazam Erfani; James Bailey 001 (ICLR, 2023)

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. - Derek Zhiyuan Cheng; Dhaval Patel 002; Linsey Pang; Sameep Mehta; Kexin Xie; Ed H. Chi; Wei Liu 007; Nitesh V. Chawla; James Bailey 001 (KDD, 2023)

Designing Fair AI Systems: Exploring the Interaction of Explainable AI and Task Objectivity on Users' Fairness Perception. - Tingru Cui; Sharon Li 001; Kaiping Chen; James Bailey 001; Feng Liu 003 (PACIS, 2023)

Backdoor Attacks on Time Series: A Generative Approach. - Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; James Bailey 001 (SaTML, 2023)

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. - Anqi Zhu; Qiuhong Ke; Mingming Gong; James Bailey 001 (WACV, 2023)

Semantic-Preserving Adversarial Text Attacks. - Xinghao Yang; Yongshun Gong; Weifeng Liu 001; James Bailey 001; Dacheng Tao; Wei Liu 007 (IEEE Trans. Sustain. Comput., 2023)

A survey of automated data augmentation algorithms for deep learning-based image classification tasks. - Zihan Yang 001; Richard O. Sinnott; James Bailey 001; Qiuhong Ke (Knowl. Inf. Syst., 2023)

Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. - James Bailey 001; Michael E. Houle; Xingjun Ma (Inf. Syst., 2023)

Graph structure reforming framework enhanced by commute time distance for graph classification. - Wenhang Yu; Xueqi Ma; James Bailey 001; Yibing Zhan; Jia Wu 001; Bo Du 001; Wenbin Hu 001 (Neural Networks, 2023)

Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-Satellite. - Zaher Joukhadar; Jonathan Morgan; Christopher Bayliss; Miguel Ortiz del Castillo; Jack McRobbie; Robert Mearns; Krista A. Ehinger; Benjamin I. P. Rubinstein; Richard O. Sinnott; Michele Trenti; James Bailey 001 (AI (1), 2024)

Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT. - Miguel Ortiz del Castillo; Jonathan Morgan; Jack McRobbie; Clint Therakam; Zaher Joukhadar; Robert Mearns; Simon Barraclough; Richard O. Sinnott; Andrew Woods; Chris Bayliss; Kris Ehinger; Benjamin I. P. Rubinstein; et al. (CVPR Workshops, 2024)

Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition. - Anqi Zhu; Qiuhong Ke; Mingming Gong; James Bailey 001 (CVPR, 2024)

Exploring Automated Data Augmentation Approaches for Deep Learning: A Case Study of Individual Feral Cat Classification. - Zihan Yang 001; Richard O. Sinnott; James Bailey 001; Krista A. Ehinger (HICSS, 2024)

LDReg: Local Dimensionality Regularized Self-Supervised Learning. - Hanxun Huang; Ricardo J. G. B. Campello; Sarah Monazam Erfani; Xingjun Ma; Michael E. Houle; James Bailey 001 (ICLR, 2024)

Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models. - Jinhao Li 004; Haopeng Li; Sarah Monazam Erfani; Lei Feng 006; James Bailey 001; Feng Liu 003 (ICML, 2024)

Time Series Representation Learning with Supervised Contrastive Temporal Transformer. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Christofer Bester; Stephen J. O'Leary; James Bailey 001 (IJCNN, 2024)

Unlearnable Examples for Time Series. - Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; James Bailey 001 (PAKDD (6), 2024)

Dimensionality-Aware Outlier Detection. - Alastair Anderberg; James Bailey 001; Ricardo J. G. B. Campello; Michael E. Houle; Henrique O. Marques; Milos Radovanovic 001; Arthur Zimek (SDM, 2024)

Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Ang Li; Christofer Bester; Stephen J. O'Leary; James Bailey 001 (SDM, 2024)

Training Sparse Graph Neural Networks via Pruning and Sprouting. - Xueqi Ma; Xingjun Ma; Sarah M. Erfani; James Bailey 001 (SDM, 2024)

Bayesian Estimation Approaches for Local Intrinsic Dimensionality. - Zaher Joukhadar; Hanxun Huang; Sarah Monazam Erfani; Ricardo J. G. B. Campello; Michael E. Houle; James Bailey 001 (SISAP, 2024)

End-to-End Anti-Backdoor Learning on Images and Time Series. - Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; Yige Li; James Bailey 001 (CoRR, 2024)

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis. - Alastair Anderberg; James Bailey 001; Ricardo J. G. B. Campello; Michael E. Houle; Henrique O. Marques; Milos Radovanovic 001; Arthur Zimek (CoRR, 2024)

Whose Side Are You On? Investigating the Political Stance of Large Language Models. - Pagnarasmey Pit; Xingjun Ma; Mike Conway; Qingyu Chen; James Bailey 001; Henry Pit; Putrasmey Keo; Watey Diep; Yu-Gang Jiang 001 (CoRR, 2024)

Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces. - Yuansan Liu; Jeygopi Panisilvam; Peter M. Dower; Sejeong Kim; James Bailey 001 (CoRR, 2024)

Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Dongting Hu; Christofer Bester; Stephen J. O'Leary; James Bailey 001 (CoRR, 2024)

Finding core labels for maximizing generalization of graph neural networks. - Sichao Fu; Xueqi Ma; Yibing Zhan; Fanyu You; Qinmu Peng; Tongliang Liu; James Bailey 001; Danilo P. Mandic (Neural Networks, 2024)

Imbalanced gradients: a subtle cause of overestimated adversarial robustness. - Xingjun Ma; Linxi Jiang; Hanxun Huang; Zejia Weng; James Bailey 001; Yu-Gang Jiang 001 (Mach. Learn., 2024)

Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition. - Anqi Zhu; Jingmin Zhu; James Bailey 001; Mingming Gong; Qiuhong Ke (CVPR, 2025)

Learned Indexes with Distribution Smoothing via Virtual Points. - Kasun Amarasinghe; Farhana Choudhury; Jianzhong Qi 001; James Bailey 001 (EDBT, 2025)

Detecting Backdoor Samples in Contrastive Language Image Pretraining. - Hanxun Huang; Sarah Monazam Erfani; Yige Li; Xingjun Ma; James Bailey 001 (ICLR, 2025)

Intrinsic Dimension, Degrees of Freedom, Odds and Uniformity: A Unified Perspective. - James Bailey 001; Ricardo J. G. B. Campello; Michael E. Houle (SISAP, 2025)

Exploring Weak-to-Strong Generalization for CLIP-based Classification. - Jinhao Li 004; Sarah Monazam Erfani; Lei Feng 006; James Bailey 001; Feng Liu 003 (Trans. Mach. Learn. Res., 2025)

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP. - Hanxun Huang; Sarah M. Erfani; Yige Li; Xingjun Ma; James Bailey 001 (CoRR, 2025)

Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis. - Xueqi Ma; Yanbei Jiang; Sarah M. Erfani; James Bailey 001; Weifeng Liu 001; Krista A. Ehinger; Jey Han Lau (CoRR, 2025)

Robust online drop detection for cochlear implant surgery. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Christofer Bester; Stephen J. O'Leary; James Bailey 001 (Int. J. Data Sci. Anal., 2025)