James Bailey

Orcid: 0000-0002-3769-3811

Affiliations:
  • University of Melbourne, School of Computing and Information Systems, Australia


According to our database1, James Bailey authored at least 299 papers between 1995 and 2024.

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Bibliography

2024
Imbalanced gradients: a subtle cause of overestimated adversarial robustness.
Mach. Learn., May, 2024

Finding core labels for maximizing generalization of graph neural networks.
Neural Networks, 2024

Learned Indexes with Distribution Smoothing via Virtual Points.
CoRR, 2024

Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting.
CoRR, 2024

Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces.
CoRR, 2024

Whose Side Are You On? Investigating the Political Stance of Large Language Models.
CoRR, 2024

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis.
CoRR, 2024

End-to-End Anti-Backdoor Learning on Images and Time Series.
CoRR, 2024

Bayesian Estimation Approaches for Local Intrinsic Dimensionality.
Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

Training Sparse Graph Neural Networks via Pruning and Sprouting.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Time-Transformer: Integrating Local and Global Features for Better Time Series Generation.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Dimensionality-Aware Outlier Detection.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Unlearnable Examples for Time Series.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Time Series Representation Learning with Supervised Contrastive Temporal Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2024

Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LDReg: Local Dimensionality Regularized Self-Supervised Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring Automated Data Augmentation Approaches for Deep Learning: A Case Study of Individual Feral Cat Classification.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Designing an Adaptive AI System for Operation on Board the SpIRIT Nano-Satellite.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
Graph structure reforming framework enhanced by commute time distance for graph classification.
Neural Networks, November, 2023

Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation.
Inf. Syst., September, 2023

A survey of automated data augmentation algorithms for deep learning-based image classification tasks.
Knowl. Inf. Syst., July, 2023

Semantic-Preserving Adversarial Text Attacks.
IEEE Trans. Sustain. Comput., 2023

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Backdoor Attacks on Time Series: A Generative Approach.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Distilling Cognitive Backdoor Patterns within an Image.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficiently Learning Spatial Indices.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Predict-Then-Optimise Strategies for Water Flow Control (Short Paper).
Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

2022
MurTree: Optimal Decision Trees via Dynamic Programming and Search.
J. Mach. Learn. Res., 2022

Local Intrinsic Dimensionality, Entropy and Statistical Divergences.
Entropy, 2022

A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks.
CoRR, 2022

How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment.
Int. J. Artif. Intell. Educ., 2022

Modelling Zeros in Blockmodelling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Deep Learning for Search and Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

To type or to speak? The effect of input modality on text understanding during note-taking.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Integrating Gaze and Speech for Enabling Implicit Interactions.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

De Novo Molecular Generation with Stacked Adversarial Model.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking.
ACM Trans. Comput. Hum. Interact., 2021

High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence.
IEEE Trans. Inf. Forensics Secur., 2021

SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments.
IEEE Trans. Cloud Comput., 2021

Understanding adversarial attacks on deep learning based medical image analysis systems.
Pattern Recognit., 2021

Semantic-Preserving Adversarial Text Attacks.
CoRR, 2021

What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space.
CoRR, 2021

Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions.
CoRR, 2021

Relationships Between Local Intrinsic Dimensionality and Tail Entropy.
Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series.
Proceedings of the International Joint Conference on Neural Networks, 2021

Dual Head Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2021

Neural Architecture Search via Combinatorial Multi-Armed Bandit.
Proceedings of the International Joint Conference on Neural Networks, 2021

Unlearnable Examples: Making Personal Data Unexploitable.
Proceedings of the 9th International Conference on Learning Representations, 2021

Individual Feral Cat Identification through Deep Learning.
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021

Generating Deep Networks Explanations with Robust Attribution Alignment.
Proceedings of the Asian Conference on Machine Learning, 2021

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Moments of Confusion in Simulation-Based Learning Environments.
J. Learn. Anal., December, 2020

Privacy- and Context-aware Release of Trajectory Data.
ACM Trans. Spatial Algorithms Syst., 2020

Exploiting patterns to explain individual predictions.
Knowl. Inf. Syst., 2020

PRESS: A personalised approach for mining top-k groups of objects with subspace similarity.
Data Knowl. Eng., 2020

Using voice note-taking to promote learners' conceptual understanding.
CoRR, 2020

Divide and Learn: A Divide and Conquer Approach for Predict+Optimize.
CoRR, 2020

MurTree: Optimal Classification Trees via Dynamic Programming and Search.
CoRR, 2020

Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness.
CoRR, 2020

The importance and meaning of session behaviour in a MOOC.
Comput. Educ., 2020

Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Prediction of students' assessment readiness in online learning environments: the sequence matters.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Improving Single and Multi-View Blockmodelling by Algebraic Simplification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Normalized Loss Functions for Deep Learning with Noisy Labels.
Proceedings of the 37th International Conference on Machine Learning, 2020

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets.
Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Adversarial Robustness Requires Revisiting Misclassified Examples.
Proceedings of the 8th International Conference on Learning Representations, 2020

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2020, 2020

Clean-Label Backdoor Attacks on Video Recognition Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Dynamic Programming for Predict+Optimise.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Classifying Attention Types with Thermal Imaging and Eye Tracking.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Online cluster validity indices for performance monitoring of streaming data clustering.
Int. J. Intell. Syst., 2019

An effective and versatile distance measure for spatiotemporal trajectories.
Data Min. Knowl. Discov., 2019

FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs.
CoRR, 2019

Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality.
CoRR, 2019

Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis.
Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

Black-box Adversarial Attacks on Video Recognition Models.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Improving the Quality of Explanations with Local Embedding Perturbations.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

SynthNet: Learning to Synthesize Music End-to-End.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Profit Maximization and Time Minimization Admission Control and Resource Scheduling for Cloud-Based Big Data Analytics-as-a-Service Platforms.
Proceedings of the Web Services - ICWS 2019, 2019

On the Convergence and Robustness of Adversarial Training.
Proceedings of the 36th International Conference on Machine Learning, 2019

Symmetric Cross Entropy for Robust Learning With Noisy Labels.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Characterising Students' Writing Processes Using Temporal Keystroke Analysis.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Profit Optimization for Splitting and Sampling Based Resource Management in Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments.
Proceedings of the 15th International Conference on eScience, 2019

An Investigation into Prediction + Optimisation for the Knapsack Problem.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

SLA-Aware and Deadline Constrained Profit Optimization for Cloud Resource Management in Big Data Analytics-as-a-Service Platforms.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Semantic Web Query Languages.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

The randomized information coefficient: assessing dependencies in noisy data.
Mach. Learn., 2018

Online Cluster Validity Indices for Streaming Data.
CoRR, 2018

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Image Constrained Blockmodelling: A Constraint Programming Approach.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

An Automated Matrix Profile for Mining Consecutive Repeats in Time Series.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Semi-supervised Blockmodelling with Pairwise Guidance.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Dimensionality-Driven Learning with Noisy Labels.
Proceedings of the 35th International Conference on Machine Learning, 2018

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
Proceedings of the 6th International Conference on Learning Representations, 2018

Online CP Decomposition for Sparse Tensors.
Proceedings of the IEEE International Conference on Data Mining, 2018

Iterative Learning With Open-Set Noisy Labels.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better?
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Lagrangian Constrained Community Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Extending Information-Theoretic Validity Indices for Fuzzy Clustering.
IEEE Trans. Fuzzy Syst., 2017

Ground truth bias in external cluster validity indices.
Pattern Recognit., 2017

rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking.
Knowl. Inf. Syst., 2017

Topology-regularized universal vector autoregression for traffic forecasting in large urban areas.
Expert Syst. Appl., 2017

Feedback Techniques in Computer-Based Simulation Training: A Survey.
CoRR, 2017

Finding Influentials in Twitter: A Temporal Influence Ranking Model.
CoRR, 2017

Extracting Real-time Feedback with Neural Networks for Simulation-based Learning.
CoRR, 2017

The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality.
Proceedings of the 2017 IEEE Workshop on Information Forensics and Security, 2017

Challenges of Differentially Private Release of Data Under an Open-world Assumption.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

A Fast and Accurate Index Structure for Spatiotemporal Trajectories.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Clustering Aided Support Vector Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Providing Effective Real-Time Feedback in Simulation-Based Surgical Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections.
Proceedings of the 34th International Conference on Machine Learning, 2017

Using a Traffic Light System to Provide Feedback to IS Masters Students.
Proceedings of the International Conference on Information Systems, 2017

SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Declarative Approach to Constrained Community Detection.
Proceedings of the Principles and Practice of Constraint Programming, 2017

Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Simulation for Training Cochlear Implant Electrode Insertion.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Unbiased Multivariate Correlation Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Visual Assessment of Clustering Tendency for Incomplete Data.
IEEE Trans. Knowl. Data Eng., 2016

SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors.
Pers. Ubiquitous Comput., 2016

Can high-order dependencies improve mutual information based feature selection?
Pattern Recognit., 2016

Efficient discovery of contrast subspaces for object explanation and characterization.
Knowl. Inf. Syst., 2016

Adjusting for Chance Clustering Comparison Measures.
J. Mach. Learn. Res., 2016

Data science in Asia (for PAKDD 2016).
Int. J. Data Sci. Anal., 2016

Discovering outlying aspects in large datasets.
Data Min. Knowl. Discov., 2016

TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs.
CoRR, 2016

Provision of automated step-by-step procedural guidance in virtual reality surgery simulation.
Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology, 2016

Lagrangian Constrained Clustering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

R1STM: One-class Support Tensor Machine with Randomised Kernel.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Framework to Adjust Dependency Measure Estimates for Chance.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Real Time Autonomous Point of Interest Mining through Ambient Smartphone Sensing.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Accelerating Online CP Decompositions for Higher Order Tensors.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Robust Domain Generalisation by Enforcing Distribution Invariance.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Training robust models using Random Projection.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Measuring dependency via intrinsic dimensionality.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

SLA-based profit optimization for resource management of big data analytics-as-a-service platforms in cloud computing environments.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

MOOCs Meet Measurement Theory: A Topic-Modelling Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Ranking cell tracking systems without manual validation.
Pattern Recognit. Lett., 2015

Automatically recognizing places of interest from unreliable GPS data using spatio-temporal density estimation and line intersections.
Pervasive Mob. Comput., 2015

A framework to uncover multiple alternative clusterings.
Mach. Learn., 2015

Enriched spatial comparison of clusterings through discovery of deviating subspaces.
Mach. Learn., 2015

Mining multidimensional contextual outliers from categorical relational data.
Intell. Data Anal., 2015

Efficient mining of platoon patterns in trajectory databases.
Data Knowl. Eng., 2015

Mining outlying aspects on numeric data.
Data Min. Knowl. Discov., 2015

Invariant backpropagation: how to train a transformation-invariant neural network.
CoRR, 2015

A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Generalized Modularity for Community Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Scalable Outlying-Inlying Aspects Discovery via Feature Ranking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Automated Segmentation of Surgical Motion for Performance Analysis and Feedback.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Designing Intelligent Sleep Analysis Systems for Automated Contextual Exploration on Personal Sleep-Tracking Data.
Proceedings of the New Frontiers in Artificial Intelligence, 2015

Detection of Deception in the Mafia Party Game.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

How private can i be among public users?
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Trajectory inference for mobile devices using connected cell towers.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Region-Specific Automated Feedback in Temporal Bone Surgery Simulation.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

Traffic forecasting in complex urban networks: Leveraging big data and machine learning.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Identifying At-Risk Students in Massive Open Online Courses.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Generating multiple alternative clusterings via globally optimal subspaces.
Data Min. Knowl. Discov., 2014

Efficient Matching of Substrings in Uncertain Sequences.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Improved Feature Transformations for Classification Using Density Estimation.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

FILTA: Better View Discovery from Collections of Clusterings via Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Mining Contrast Subspaces.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Structure-Aware Distance Measures for Comparing Clusterings in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Is this you?: identifying a mobile user using only diagnostic features.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

A context-aware do-not-disturb service for mobile devices.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

A Temporal Bone Surgery Simulator with Real-Time Feedback for Surgical Training.
Proceedings of the Medicine Meets Virtual Reality 21 - NextMed, 2014

Effective global approaches for mutual information based feature selection.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance.
Proceedings of the 31th International Conference on Machine Learning, 2014

TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2014

Generalized information theoretic cluster validity indices for soft clusterings.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A time decoupling approach for studying forum dynamics.
World Wide Web, 2013

Comments on supervised feature selection by clustering using conditional mutual information-based distances.
Pattern Recognit., 2013

Measures for ranking cell trackers without manual validation.
Pattern Recognit., 2013

Discovery and analysis of consistent active sub-networks in cancers.
BMC Bioinform., 2013

Pattern-based real-time feedback for a temporal bone simulator.
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology, 2013

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A Bayesian Classifier for Learning from Tensorial Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Time Series Forecasting Using Distribution Enhanced Linear Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Constructive Real Time Feedback for a Temporal Bone Simulator.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A time-dependent enhanced support vector machine for time series regression.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Clustering and visualization of fuzzy communities in social networks.
Proceedings of the FUZZ-IEEE 2013, 2013

Discrimination aware classification for imbalanced datasets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Mining Emerging Patterns Using Tree Structures or Tree Based Searches.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

Mining Emerging Patterns Using Zero-Suppressed Binary Decision Diagrams.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

Mining Emerging Patterns from Structured Data.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

Statistical Measures for Contrast Patterns.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013

Alternative Clustering Analysis: A Review.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
ciForager: Incrementally discovering regions of correlated change in evolving graphs.
ACM Trans. Knowl. Discov. Data, 2012

Computer-Aided Diagnosis of Melanoma Using Border- and Wavelet-Based Texture Analysis.
IEEE Trans. Inf. Technol. Biomed., 2012

AIC and BIC based approaches for SVM parameter value estimation with RBF kernels.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge.
Proceedings of the Web Information Systems Engineering - WISE 2012, 2012

Multiple Clustering Views via Constrained Projections.
Proceedings of the 3rd MultiClust Workshop: Discovering, 2012

SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Extracting significant places from mobile user GPS trajectories: a bearing change based approach.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

On compressing weighted time-evolving graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Improving MeSH classification of biomedical articles using citation contexts.
J. Biomed. Informatics, 2011

Overview of Contrast Data Mining as a Field and Preview of an Upcoming Book.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Distribution Based Data Filtering for Financial Time Series Forecasting.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Logical queries over views: Decidability and expressiveness.
ACM Trans. Comput. Log., 2010

Using Gene Ontology annotations in exploratory microarray clustering to understand cancer etiology.
Pattern Recognit. Lett., 2010

A binary decision diagram based approach for mining frequent subsequences.
Knowl. Inf. Syst., 2010

Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance.
J. Mach. Learn. Res., 2010

Document clustering of scientific texts using citation contexts.
Inf. Retr., 2010

Enhancing the B<sup>+</sup>-tree by dynamic node popularity caching.
Inf. Process. Lett., 2010

Efficient incremental mining of contrast patterns in changing data.
Inf. Process. Lett., 2010

Classifying proteins using gapped Markov feature pairs.
Neurocomputing, 2010

A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings.
Data Min. Knowl. Discov., 2010

A fast indexing approach for protein structure comparison.
BMC Bioinform., 2010

is-rSNP: a novel technique for in silico regulatory SNP detection.
BMC Bioinform., 2010

is-rSNP: a novel technique for <i>in silico</i> regulatory SNP detection.
Bioinform., 2010

MIRAGAA - a methodology for finding coordinated effects of microRNA expression changes and genome aberrations in cancer.
Bioinform., 2010

Generation of Alternative Clusterings Using the CAMI Approach.
Proceedings of the SIAM International Conference on Data Mining, 2010

A Novel Scalable Multi-class ROC for Effective Visualization and Computation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A hierarchical information theoretic technique for the discovery of non linear alternative clusterings.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Mining distribution change in stock order streams.
Proceedings of the 26th International Conference on Data Engineering, 2010

Classification of Melanoma Lesions Using Wavelet-Based Texture Analysis.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

2009
A Framework for Goal-Based Semantic Compensation in Agent Systems.
Proceedings of the Safety and Security in Multiagent Systems, 2009

Semantic Web Query Languages.
Proceedings of the Encyclopedia of Database Systems, 2009

Building more robust multi-agent systems using a log-based approach.
Web Intell. Agent Syst., 2009

Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs.
Intell. Data Anal., 2009

A voting approach to identify a small number of highly predictive genes using multiple classifiers.
BMC Bioinform., 2009

Feature Weighted SVMs Using Receiver Operating Characteristics.
Proceedings of the SIAM International Conference on Data Mining, 2009

Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A Query Based Approach for Mining Evolving Graphs.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

2008
Discovering correlated spatio-temporal changes in evolving graphs.
Knowl. Inf. Syst., 2008

ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data.
Proceedings of the SIAM International Conference on Data Mining, 2008

Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Mining influential attributes that capture class and group contrast behaviour.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Mining, Ranking, and Using Acronym Patterns.
Proceedings of the Progress in WWW Research and Development, 2008

2007
Mining minimal distinguishing subsequence patterns with gap constraints.
Knowl. Inf. Syst., 2007

An Efficient Technique for Mining Approximately Frequent Substring Patterns.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Proceedings of the Data Mining and Analytics 2007, 2007

Merging Dynamic Functionality: Integration of XML Transformations.
Proceedings of the Conceptual Modelling 2007, Proceedings of the Fourth Asia-Pacific Conference on Conceptual Modelling (APCCM2007), Ballarat, Victoria, Australia, January 30, 2007

2006
XSLTGen: A System for Automatically Generating XML Transformations Via Semantic Mappings.
J. Data Semant., 2006

Mining Minimal Contrast Subgraph Patterns.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

COALA: A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Logging-Based Approach for Building More Robust Multi-agent Systems.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

A Framework for Integrating XML Transformations.
Proceedings of the Conceptual Modeling, 2006

Mining Generalised Emerging Patterns.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Clustering Similarity Comparison Using Density Profiles.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Composite event queries for reactivity on the web.
Proceedings of the 14th international conference on World Wide Web, 2005

Optimization of XSLT by Compact Specialization and Combination.
Proceedings of the Web Information Systems Engineering, 2005

Web and Semantic Web Query Languages: A Survey.
Proceedings of the Reasoning Web, 2005

Flavours of XChange, a Rule-Based Reactive Language for the (Semantic) Web.
Proceedings of the Rules and Rule Markup Languages for the Semantic Web, 2005

Discovery of Minimal Unsatisfiable Subsets of Constraints Using Hitting Set Dualization.
Proceedings of the Practical Aspects of Declarative Languages, 7th International Symposium, 2005

2004
On the decidability of the termination problem of active database systems.
Theor. Comput. Sci., 2004

Optimization of XML Transformations Using Template Specialization.
Proceedings of the Web Information Systems, 2004

ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Managing Semantic Compensation in a Multi-agent System.
Proceedings of the On the Move to Meaningful Internet Systems 2004: CoopIS, 2004

Static Analysis of XSLT Programs.
Proceedings of the Database Technologies 2004, 2004

An Event-Condition-Action Language for XML.
Proceedings of the Web Dynamics - Adapting to Change in Content, Size, Topology and Use, 2004

2003
CodeX: An Approach for Debugging XSLT Transformations.
Proceedings of the 4th International Conference on Web Information Systems Engineering, 2003

Classification Using Constrained Emerging Patterns.
Proceedings of the Advances in Web-Age Information Management, 2003

A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Discovery of Emerging Patterns and Their Use in Classification.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Analysis and optimisation of event-condition-action rules on XML.
Comput. Networks, 2002

An event-condition-action language for XML.
Proceedings of the Eleventh International World Wide Web Conference, 2002

Fast Algorithms for Mining Emerging Patterns.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

2001
Transaction Oriented Computational Models for Multi-Agent Systems.
Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, 2001

Optimising Active Database Rules by Partial Evaluation and Abstract Interpretation.
Proceedings of the Database Programming Languages, 8th International Workshop, 2001

2000
A Dynamic Approach to Termination Analysis for Active Database Rules.
Proceedings of the Computational Logic, 2000

1999
Abstract Interpretation for Termination Analysis in Functional Active Databases.
J. Intell. Inf. Syst., 1999

Decidability of First-Order Logic Queries over Views.
Proceedings of the Database Theory, 1999

An Abstract Interpretation Framework for Termination Analysis of Active Rules.
Proceedings of the Research Issues in Structured and Semistructured Database Programming, 1999

1998
Incremental View Maintenance By Base Relation Tagging in Distributed Databases.
Distributed Parallel Databases, 1998

Decidability and Undecidability Results for the Termination Problem of Active Database Rules.
Proceedings of the Seventeenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1998

1997
Structural Issues in Active Rule Systems.
Proceedings of the Database Theory, 1997

Abstract Interpretation of Active Rules and its Use in Termination Analysis.
Proceedings of the Database Theory, 1997

1995
Active Databases and Agent Systems - A Comparison.
Proceedings of the Rules in Database Systems, Second International Workshop, 1995

Issues in Active Databases.
Proceedings of the Sixth Australasian Database Conference, 1995


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