LDReg: Local Dimensionality Regularized Self-Supervised Learning. Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey. To appear at ICLR 2024.
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition. Anqi Zhu, Qiuhong Ke, Mingming Gong and James Bailey. To appear at CVPR 2024.
Dimensionality-Aware Outlier Detection. Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic and Arthur Zimek. To appear at SIAM International Conference on Data Mining (SDM24), April 18 - 20, 2024. Extended arxiv version available here.
Unlearnable Examples For Time Series. Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani and James Bailey. To appear in Proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) , Taipei, Taiwan, 2024. Available here.
Training sparse graph neural networks via pruning and sprouting. Xueqi Ma, Xingjun Ma, Sarah Erfani and James Bailey. To appear at SIAM International Conference on Data Mining (SDM24), April 18 - 20, 2024. Available here.
Graph structure reforming framework enhanced by commute time distance for graph classification. Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu. Neural Networks, Volume 168, Pages 539-548, November 2023. Available here
Predict-Then-Optimise Strategies for Water Flow Control. Vincent Barbosa Vaz, James Bailey, Christopher Leckie, and Peter J. Stuckey. The 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), August 27-21, Toronto, Canada, 2023. Available here.
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. James Bailey, Michael E. Houle and Xingjun Ma. To appear in Information Systems, 2023. Pre-print available here.
Semantic-Preserving Adversarial Text Attacks. Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, and Wei Liu. IEEE Transactions on Sustainable Computing, 2023. Available here
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng, James Bailey and Yu-Gang Jiang. To appear in Machine Learning, 2023. Available here.
Distilling Cognitive Backdoor Patterns within an Image. Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani and James Bailey. To appear in 11th International Conference on Learning Representations (ICLR), May 1-5, 2023. Available here.
Backdoor Attacks on Time Series: A Generative Approach. Yujing Jiang, Xingjun Ma, Sarah Erfani and James Bailey. To appear in IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), February 8-10 2023. Available here
Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition. Anqi Zhu, Qiuhong Ke, Mingming Gong and James Bailey. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 3-7, 2023. Available here.
Efficiently Learning Spatial Indices. Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, and Lars Kulik. Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, California, 2023. Available here. Code is available source code)
A survey of automated data augmentation algorithms for deep learning-based image classification tasks. Zihan Yang, Richard O. Sinnott,l James Bailey and Qiuhong Ke1. Knowledge and Information Systems, 2023. Available here.
Established and Novel Risk Factors for 30-Day Readmission following Total Knee Arthroplasty: A Modified Delphi and Focus Group Study to Identify Clinically Important Predictors. Daniel Gould, Michelle Dowsey, Tim Spelman, James Bailey, Samantha Bunzli, Siddharth Rele and Peter Choong. Journal of Clinical Medicine, 12(3), 747, 2023. Available here.
Predicting 30-Day Readmission Following Total Knee Arthroplasty Using Machine learning and Clinical Expertise Applied to Clinical Administrative and Research Registry Data in an Australian Cohort. Daniel Gould, James Bailey, Tim Spelman, Samantha Bunzli, Michelle M Dowsey, Peter FM Choong. Arthroplasty, 5, Article number: 30 (2023).
Patients' Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study. Daniel J Gould, Michelle M Dowsey, Marion Glanville-Hearst, Tim Spelman, James Bailey, Peter F M Choong, Samantha Bunzli. Journal of Medical Internet Research, 2023;25:e43632. Available here.
Asymmetric CycleGANs for inverse design of photonic metastructures. Jeygopi Panisilvam, Elnaz Hajizadeh , Hansani Weeratunge, James Bailey , Sejeong Kim. APL Machine Learning 1 December 2023; 1 (4): 046105. Available here.
Local Intrinsic Dimensionality, Entropy and Statistical Divergences. James Bailey, Michael E. Houle and Xingjun Ma. Entropy 24(9), 1220, 2022. Available here.
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition. Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey and Jun Liu. Proceedings of the 17th European Conference on Computer Vision (ECCV) 2022, Oct. 23-27, 2022. Available here.
A Divide and Conquer Algorithm for Predict+Optimize with Non-Convex Problems. Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey. Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22) , Feb 22-Mar 1, Vancouver, Canada, 2022 Available here.
A representation learning framework for detection and characterization of dead versus strain localization zones from pre- to post- failure. Antoinette Tordesillas, Shuo Zhou, James Bailey and Howard Bondell. Granular Matter, Volume 24, Article number: 75, 2022. Available here
MurTree: Optimal Classification Trees via Dynamic Programming and Search. Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Ramamohanarao Kotagiri and Peter J. Stuckey. Journal of Machine Learning Research, 23(26):1-47, 2022. Available here
Integrating Gaze and Speech for Enabling Implicit Interactions. Khan, AA., Newn, J., Bailey, J. and Velloso, E. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22), Article no. 349, pages 1-14, April 30 - May 6, New Orleans, USA, 2022. Available here
To Type or To Speak? The Effect of Input Modality on Text Understanding During Note-taking. Khan, AA., Nawaz, S., Newn, J., Kelly, RM., Lodge, JM., Bailey, J. and Velloso, E. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22), Article no. 164, pages 1-15, April 30 - May 6, New Orleans, USA, 2022. Available here
Modelling zeros in blockmodelling. Laurence Park, Jeffrey Chan, Peter J. Stuckey, James Bailey, Mohadeseh Ganji, Emir Demirovic, Christopher Leckie, and Kotagiri Ramamohanarao. In Proceedings of the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-22), pages 187-198, 2022.
How Difficult is the Task for you? Modelling and Analysis of Students' Task Difficulty Sequences in a Simulation-Based POE Environment. Nawaz, S., Srivastava, N., Hyun Yu, J., Khan, A., Kennedy, G., Bailey, J. and Baker, R. International Journal of Artificial Intelligence in Education, 32(2), pp. 233-262, 2022.
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey and Xingjun Ma. Proceedings of the Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 6-14 December, 2021. Available here
alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. Jiabo He, Sarah Monazam Erfani, Xingjun Ma, James Bailey, Ying Chi and Xian-Sheng Hua. Proceedings of the Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 6-14 December, 2021. Available here
Generating Deep Network Explanations with Robust Attribution Alignment. Guohang Zeng, Yousef Kowsar, Sarah Monazam Erfani and James Bailey. Proceedings of the 13th Asian Conference on Machine Learning (ACML), pp. 753-768, November 17-19, 2021. Available here
Relationships between Local Intrinsic Dimensionality and Tail Entropy. James Bailey, Michael Houle and Xingjun Ma. Proceedings of the 14th International Conference on Similarity Search and Applications (SISAP), Sep 29-Oct -1, Dortmund, Germany, 2021. Winner of the Best Paper Award. Available here. Video is available here.
On local intrinsic dimensionality of deformation in complex materials. Shuo Zhou, Antoinette Tordesillas, Mehdi Pouragha, James Bailey, Howard Bondell. Nature Scientific Reports, 11, 10216 (2021). Available here.
Unlearnable Examples: Making Personal Data Unexploitable. Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang. Proceedings of the International Conference on Learning Representations (ICLR), 2021. Available here.
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, and Wei Liu. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2-9 Feb 2021. Available here.
High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. Laurent Amsaleg, James Bailey, Amelie Barbe, Sarah M. Erfani, Teddy Furon, Michael E. Houle, Milos Radovanovic, and Nguyen Xuan Vinh. IEEE Transactions on Information Forensics and Security , 16, pp. 854--865, 2021. Available here.
GAVIN: Gaze-Assisted Voice-based Implicit Note-taking. Khan A.A., Newn J., Kelly, R. M., Srivastava, N., Bailey, J. and Velloso, E. ACM Transactions on Computer-Human Interaction. Available here.
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems. Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey and Feng Lu. Pattern Recognition, 110, 2021. Preprint available here: https://arxiv.org/abs/1907.10456.
Dual Head Adversarial Training. Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani and James Bailey. Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2021. Preprint available here: https://arxiv.org/abs/2104.10377.
Neural Architecture Search via Combinatorial Multi-Armed Bandit. Hanxun Huang, Xingjun Ma, Sarah Erfani and James Bailey. Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2021. arXiv preprint. arXiv:2101.00336, 2021.
A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series. Mahtab Mirmomeni, Lars Kulik and James Bailey. Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2021. Available here.
Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. Namrata Srivastava, Sadia Nawaz, Joshua Newn, Jason Lodge, Eduardo Velloso, Sarah M. Erfani, Dragan Gasevic and James Bailey. Proceedings of the 11th International Conference on Learning Analytics and Knowledge (LAK21), April 12-16, 2021. Available here.
Patient-Related Risk Factors for Unplanned 30-day Hospital Readmission Following Primary and Revision Total Knee Arthroplasty: A Systematic Review and Meta-Analysis. Daniel Gould, Michelle Dowsey, Tim Spelman, Olivia Jo, Wassif Kabir, Jason Trieu, James Bailey, Samantha Bunzli, Peter Choong. Journal of Clinical Medicine, 10(1):134, 2021. Avavailable here.
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions. N. Koren, Q. Ke, Y. Wang, J. Bailey and X. Ma. arXiv preprint. arXiv:2101.06704, 2021.
De Novo Molecular Generation with Stacked Adversarial Model. Yuansan Liu and James Bailey. Proceedings of the 34th Australasian Joint Conference on Artificial Intelligence (AJCAI), pp. 143-154, 2021.
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space. Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang. arXiv preprint. arXiv:2101.06898, 2021.
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu. Proceedings of the 16th European Conference on Computer Vision (ECCV) 2020, pp. 182-199, 23-28 August, 2020. Available here. Supplementary material is here.
Normalized Loss Functions for Deep Learning with Noisy Labels. Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani and James Bailey. Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML), pp. 6543-6553, Jul 12-18, 2020. Available here.
Adversarial Camouflage: Hiding Adversarial Examples with Natural Styles. Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, Kai Qin, Yun Yang. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 997-1005, Seattle, Washington, 2020. Pre-print available here.
Clean-Label Backdoor Attacks on Video Recognition Models. Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 14431-14440, Seattle, Washington, 2020. Pre-print available here.
Improving Adversarial Robustness Requires Revisiting Misclassified Examples. Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma and Quanquan Gu. Proceedings of the Eighth International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020. Available here.
Skip connections matter: on the transferability of adversarial examples generated with ResNets. Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey and Xingjun Ma. Proceedings of the Eighth International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020. Available here.
Dynamic Programming for Predict+Optimise. Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Ramamohanarao Kotagiri, Christopher Leckie and Tias Guns. Proceedings of the The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pp. 1444-1451, New York, USA, Feb 7-12, 2020. Available here
Exploring the Usage of Thermal Imaging for Understanding Video Lecture Designs and Students' Experiences. Namrata Srivastava, Sadia Nawaz, Jason Lodge, Eduardo Velloso, Sarah M. Erfani and James Bailey. Proceedings of the 10th International Learning Analytics and Knowledge Conference (LAK), pp. 250-259, Frankfurt, Germay, Mar 23-27, 2020. Available here
Prediction of Students' Assessment Readiness in Online Learning Environments: The Sequence Matters. Donia Malekian, James Bailey and Gregor Kennedy. Proceedings of the 10th International Learning Analytics and Knowledge Conference (LAK), pp. 382-391, Frankfurt, Germay, Mar 23-27, 2020. Available here.
The importance and meaning of session behaviour in a MOOC. Paula G. de Barba, Donia Malekian, Eduardo A. Oliveira, James Bailey, Tracii Ryan and Gregor Kennedy. Computers & Education, 146, 2020. Available here.
Early identification of an impending rockslide location via a spatially-aided Gaussian mixture model. Shuo Zhou, Howard Bondell, Antoinette Tordesillas, Benjamin Rubinstein and James Bailey. Annals of Applied Statistics, 14(2), 977-992, 2020. Available here.
Privacy- and Context-aware Release of Trajectory Data. Elham Naghizade, Lars Kulik, Egemen Tanin and James Bailey. ACM Transactions on Spatial Algorithms and Systems (TSAS), 6(1), 3:1-3:25, January 2020. Available here
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Ramamohanarao Kotagiri, James Bailey, Christopher Leckie and Emir Demirovic. Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN), pp 1-7, 19-24 July, Glasgow, UK, 2020. Available here.
Analysis of Task Difficulty Sequences in a Simulation-based POE Environment. Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Ryan S. Baker, Gregor Kennedy and James Bailey. Proceedings of the 21th International Conference on Artificial Intelligence in Education (AIED), pp. 423-436, Ifrane, Morocco, 6-19 July, 2020. Available here.
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi Wijewickrema, Xingjun Ma, Patorn Piromchai, James Bailey and Stephen O'Leary. Proceedings of the 21th International Conference on Artificial Intelligence in Education (AIED), pp. 296-308, Ifrane, Morocco, 6-19 July, 2020. Available here.
PRESS: A Personalised Approach for Mining Top-k Groups of Objects with Subspace Similarity. Tahrima Hashem, Lida Rashidi, Lars Kulik and James Bailey. Data & Knowledge Engineering, 128, 2020. Available here.
MurTree: Optimal Classification Trees via Dynamic Programming and Search. Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey. arXiv preprint. arXiv:2007.12652v1 , 2020.
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey. arXiv preprint. arXiv:2012.02342, 2020.
Using voice note-taking to promote learners' conceptual understanding. Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Jason M. Lodge, James Bailey, Eduardo Velloso. arXiv preprint. arXiv:2012.02927, 2020.
Moments of Confusion in Simulation-Based Learning Environments. Sadia Nawaz, Gregor Kennedy, James Bailey, Chris Mead. Journal of Learning Analytics, 7(3), pp. 118-137, 2020.
Classifying Attention Types with Thermal Imaging and Eye Tracking. Yomna Abdelrahman, Anam Ahmad Khan, Joshua Newn, Eduardo Velloso, Sherine Ashraf Safwat, James Bailey, Andreas Bulling, Frank Vetere and Albrecht Schmidt. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Article No. 69, September 2019. Available here.
Symmetric Cross Entropy for Robust Learning with Noisy Labels. Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi and James Bailey. Proceedings of the IEEE International Conference on Compter Vision (ICCV), pp. 322-330, October 27- November 2, Seoul, Korea, 2019. Available here.
Improving the quality of explanations with local embedding perturbations. Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie and Michael E. Houle. Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 875-884, Anchorage, Alaska, August 4-8, 2019. Available here.
Black-box Adversarial Attacks on Video Recognition Models. Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey and Yu-Gang Jiang. Proceedings of the 27th ACM International Conference on Multimedia, pp. 864-872, Nice, France, 21-25 October 2019. arXiv preprint. arXiv:1904.05181, 2019.
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey. arXiv preprint. arXiv:1905.00643, 2019.
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs. Sukarna Barua, Sarah Monazam Erfani and James Bailey. arXiv preprint. arXiv:1905.02417, 2019.
On the Convergence and Robustness of Adversarial Training. Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou and Quanquan Gu. Proceedings of the 36th International Conference on Machine Learning (ICML 2019), pp. 6586-6595, Long Beach, USA, 10-15 June, 2019. Available here.
SynthNet: Learning to Synthesize Music End-to-End. Florin Schimbinschi, Sarah Erfani, James Bailey and Christian Walder. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), pp. 3367-3374, Macao, China, August 10-16, China. Available here.
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), pp. 1078-1085, Macao, China, August 10-16, China. Available here.
Exploiting patterns to explain individual predictions. Yunzhe Jia, James Bailey, Ramamohanarao Kotagiri, Christopher Leckie and Xingjun Ma. Knowledge and Information Systems. Available here.
An Investigation into Prediction + Optimisation for the Knapsack Problem. Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao and Tias Guns. Sixteenth International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), pp. 241-257, Thessaloniki, Greece 4 - 7 June, 2019. Available here.
Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. Namrata Srivastava, Eduardo Velloso, Jason M. Lodge, Sarah Erfani and James Bailey. Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, May 4-9, Glasgow, 2019. Available here.
An Effective and Versatile Distance Measure for Spatiotemporal Trajectories. Somayeh Naderivesal, Lars Kulik and James Bailey. Data Mining and Knowledge Discovery, 33(3): 577-606, 2019. Available here.
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. Tahrima Hashem, Lida Rashidi, James Bailey and Lars Kulik. Proceedings of the 12th International Conference on Similarity Search and Applications (SISAP), pp. 247-264, Newark NJ, USA, October 2-4, 2019. Available here.
The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training. Myles Davaris, Sudanthi Wijewickrema, Yun Zhou, Patorn Piromchai, James Bailey, Gregor Kennedy, and Stephen O'Leary. Proceedings of The 20th International Conference on Artificial Intelligence in Education (AIED), pp. 96-109, Chicago, Jun 25-29, 2019. Available here.
Characterising Students' Writing Processes Using Temporal Keystroke Analysis. Donia Malekian, James Bailey, Gregor Kennedy and Paula de Barba and Sadia Nawaz. Proceedings of the 12th International Conference on Educational Data Mining (EDM 2019), July 2-5, Montreal, Canada, 2019. Available here.
Online cluster validity indices for performance monitoring of streaming data. M. Moshtaghi, J.C. Bezdek, S. M. Erfani, C. Leckie and J. Bailey. International Journal of Intelligent Systems, 34(4), pp. 541-563, 2019. Available here.
Laboratory Alerts to Guide Early Intensive Care Team Review in Surgical Patients: A Feasibility, Safety, and Efficacy Pilot Randomized Controlled Trial. Rinaldo Bellomo, Matthew Chan, Christopher Guy, Helena Proimos, Federica Franceschi, Marco Crisman, Aniket Nadkarni, Paolo Ancona, Kevin Pan, Francesca Di Muzio, Barbara Presello, James Bailey, Marcus Young, Graeme K Hart. Resuscitation, Volume 133, Pages 167-172, 2018.
Online CP Decomposition for Sparse Tensors. Shuo Zhou, Sarah Erfani, and James Bailey. Proceedings of the IEEE Intenational Conference on Data mining (ICDM) 2018, pages 1458-1463, November 17-20, Singapore, 2018. Available here.
Semi-Supervised Blockmodelling with Pairwise Guidance. Mohadeseh Ganji, Jeffrey Chan, Peter. J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao and Laurence Park. 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018), 10-14 September, Dublin, Ireland, 2018. Available here.
Dimensionality-Driven Learning with Noisy Labels. Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah Monazam Erfani, Shu-Tao Xia, Sudanthi Wijewickrema and James Bailey. Proceedings of the International Conference on Machine Learning (ICML), pages 3361-3370, Stockholm, Sweden, 10-15 July, 2018. Available (pdf). Code is here.
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zhu. Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI), Monterey, California, August 6-10, 2018. Available here
Iterative Learning with Open-set Noisy Labels. Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 8688-8696, Salt Lake City, Utah, USA, June 18-22, 2018. Available here.
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Michael E. Houle, Dawn Song, James Bailey. Proceedings of the 6th International Conference on Learning Representations (ICLR), Vancouver Convention Center, Vancouver, BC, Canada, April 30 - May 3, 2018. Available here.
Image Constrained Blockmodelling: A Constraint Programming Approach. Mohadeseh Ganji, Jeffrey Chan, Peter. J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao and Ian Davidson. Proceedings of the 2018 SIAM International Conference on Data Mining (SDM), pages 19-27, San Diego, USA, 2018. Available here.
Do experts practice what they profess? Yun Zhou, Sudanthi Wijewickrema, Ioanna Ioannou, James Bailey, Gregor Kennedy, Debra Nestel, Stephen O'Leary. PLoS ONE, 13(1): e0190611, 2018. Available here.
Lagrangian Constrained Community Detection. Mohadeseh Ganji, James Bailey and Peter J. Stuckey. Proceedings of the The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), pages 2983-2990, New Orleans, USA, Feb 2-7, 2018. Available here.
The Randomized Information Coefficient: Assessing Dependencies in Noisy Data. Simone Romano, Nguyen Xuan Vinh, Karin Verspoor and James Bailey. Machine Learning, 107(3), pp 509-549, 2018. Available here. Code is here.
Presentation of Automated Procedural Guidance in Surgical Simulation: Results of Two Randomised Control Trials. Sudanthi Wijewickrema, Zhou Yun, Ioanna Ioannou, Bridget Copson, Patorn Piromchai, Chenjie Yu, Robert Briggs, James Bailey, Gregor Kennedy, Stephen John O'Leary. The Journal of Laryngology and Otology, 132(3), pages 257-263. Available here.
Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? Sudanthi Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor Kennedy, and Stephen O'Leary. Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED), pages 584-598, London, UK, June 27-30, 2018. Available here.
Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. Sudanthi Wijewickrema, Bridget Copson, Xingjun Ma, Robert Briggs, James Bailey, Gregor Kennedy and Stephen O'Leary. Proceedings of the 31st International Symposium on Computer-Based Medical Systems (CBMS), pages 12-17, Karlstad, Sweden, June 18-21, 2018. Available here.
An Automated Matrix Profile for Mining Consecutive Repeats in Time Series. Mahtab Mirmomeni, Yousef Kowsar, Lars Kulik and James Bailey. Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), pages 192-200, August 28-31, 2018, Nanjing, China. Available here.
Struggle town? Developing profiles of student confusion in simulation-based learning environments. Proceedings of the 35th International Conference on Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education, Geelong, Victoria, Australia, 25-28 November 2018. Available here.
SCED: A General Framework for Sparse Tensor Decompositions with Constraints and Elementwise Dynamic Learning. Shuo Zhou, Sarah Erfani, and James Bailey. Proceedings of the International Conference on Data Mining (ICDM) 2017, pp 675-684, Nov 18-12 New Orleans, USA, 2017. Available here.
The Vulnerability of Learning to Adversarial Perturbation Increases with Intrinsic Dimensionality. Laurent Amsaleg, James Bailey, Dominique Barbe, Sarah Erfani, Michael E. Houle, Vinh Nguyen and Milos Radovanovic. Proceedings of the 9th IEEE International Workshop on Information Forensics and Security (WIFS), pp. 1-6, Dec 4-7, Rennes, France, 2017. Available here.
A Declarative Approach to Constrained Community Detection. Mohadeseh Ganji, James Bailey and Peter J. Stuckey. Proceedings of the 23rd International Conference on Principles and Practice of Constraint Programming (CP2017), pp 477-494, Melbourne, Aug 28-Sep 1, 2017. Available here.
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections. Zakaraia Mhammedi, Andrew Hellicar, Ashfaqur Rahman, James Bailey. Proceedings of the International Conference on Machine Learning (ICML), PMLR 70:2401-2409, Aug 6-12, Sydney, Australia, 2017. Available here. Code is also available.
Providing Effective Real-time Feedback in Simulation-based Surgical Training. Xingjun Ma, Sudanthi Wijewickrema, Yun Zhou, Shuo Zhou, Stephen O'Leary and James Bailey. Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp 566-574, Quebec City, Canada, 2017. Available here.
Adversarial generation of real-time feedback with neural networks for simulation-based training. Xingjun Ma, Sudanthi Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen O'Leary, James Bailey. Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), pp. 3763-3769, Melbourne, Australia, 2017. Available here.
Challenges of Differentially Private Release of Data Under an Open-world Assumption. Elham Naghizade, James Bailey, Lars Kulik and Egemen Tanin. Proceedings of the 29th International Conference on Scientific and Statistical Database Management (SSDBM), pp 27:1--27:6, Chicago, USA, 2017. Available here.
Machine-Learning Algorithms Predict Graft Failure Following Liver Transplantation. Lawrence Lau, Yamuna Kankanige, Benjamin Rubinstein, Robert Jones, Christopher Christophi, Vijayaragavan Muralidharan and James Bailey. Transplantation, Apr;101(4):e125-e132, 2017. Available here.
Topology-regularized universal vector autoregression for traffic forecasting in large urban areas. Florin Schimbinschi, Luis Moreira-Matias, Vinh Xuan Nguyen, and James Bailey. Expert Systems With Applications , Volume 82, 1 October 2017, pages 301-316, 2017. Available here.
A Fast and Accurate Index Structure for Spatiotemporal Trajectories. Somayeh Naderivesal, Lars Kulik and James Bailey. 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, November 7-10, Melbourne, Australia, 2017.
Supporting Skill Acquisition in Cochlear Implant Surgery through Virtual Reality Simulation. Bridget Copson, Sudanthi Wijewickrema, Yun Zhou, Patorn Piromchai, Robert Briggs, James Bailey, Gregor Kennedy, Stephen O'Leary. Cochlear Implants International, Mar;18(2):89-96, 2017. Available here.
Ground Truth Bias in External Cluster Validity Indices. Y. Lei, J. C. Bezdek, S. Romano, N. X. Vinh, J. Chan and J. Bailey. Pattern Recognition, Volume 65, Pages 58-70, 2017. Available here.
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. Sarah Erfani, Mahsa Baktashmotlag, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey and Kotagiri Ramamohanarao. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), pp. 1854-1860, February 4-9, San Francisco, USA, 2017. Available here
Unbiased Multivariate Correlation Analysis. Yisen Wang, Simone Romano, Nguyen Xuan Vinh, James Bailey, Xingjun Ma and Shu-Tao Xia. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), pp 2754-2760, February 4-9, San Francisco, USA, 2017. Available here.
rFILTA: Relevant and Non-Redundant View Discovery from Collections of Clusterings via Filtering and Ranking. Yang Lei, Nguyen Xuan Vinh, Jeffrey Chan, James Bailey. Knowledge and Information Systems, 52(1), pp. 179-219, 2017. Available here.
Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. Sudanthi Wijewickremay, Bridget Copson, Yun Zhou, Xingjun Ma, Robert Briggs, James Bailey, Gregor Kennedy and Stephen O'Leary. Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 7-12, June 22-24, Thessaloniki, Greece, 2017. Available here.
Simulation for Training Cochlear Implant Electrode Insertion. Xingjun Ma, Sudanthi Wijewickremay, Yun Zhou, Bridget Copson, James Bailey, Gregor Kennedy and Stephen O'Leary. Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS), pp. 1-6, June 22-24, Thessaloniki, Greece, 2017. Available here.
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs. Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan. arXiv preprint. arXiv:1607.08720 , 2017.
Visual assessment of clustering tendency for incomplete data. Laurence A. F. Park, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, James Bailey and Marimuthu Palaniswami. IEEE Transactions on Knowledge and Data Engineering, 28(12), pages 3409 - 3422, 2016. Available here.
Real Time Autonomous Point of Interest Mining through Ambient Smartphone Sensing. Tanusri Bhattacharya, Lars Kulik, James Bailey. Proceedings of the 13th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS), Hiroshima, Japan, November 28 - December 1 2016. Available here.
Provision of Automated Step-by-Step Procedural Guidance in Virtual Reality Surgery Simulation. Sudanthi Wijewickrema, Yun Zhou, James Bailey, Gregor Kennedy, Stephen O'Leary. Proceedings of the 22nd ACM Symposium on Virtual Reality Software and Technology (VRST), pages 69-72, Munich, Germany, 2-4 November 2016. Available here.
SleepExplorer: A visualization tool to make sense of correlations between personal sleep data and contextual factors. Zilu Liang, Bernd Ploderer, Wanyu Liu, Yukiko Nagata, James Bailey, Lars Kulik, Yuxuan Li. Personal and Ubiquitous Computing, 20(6), pages 985-1000, 2016. Available here.
Adjusting for Chance Clustering Comparison Measures. Simone Romano, Nguyen Xuan Vinh, James Bailey, Karin Verspoor. Journal of Machine Learning Research , 17(134):132, 2016. Available here.
Measuring Dependency via Intrinsic Dimensionality. Simone Romano, Oussama Chelly, Xuan Vinh Nguyen, James Bailey and Michael E. Houle Proceedings of the 23rd International Conference on Pattern Recongition (ICPR), December 4-8, Cancun, Mexico, 2016. Available here. Supplementary material.
Training Robust Models Using Random Projection. Nguyen Xuan Vinh, Sarah Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie and Kotagiri Ramamohanarao. Proceedings of the 23rd International Conference on Pattern Recongition (ICPR), December 4-8, Cancun, Mexico, 2016. Available here. Supplementary material.
Extending Information-Theoretic Validity Indices for Fuzzy Clustering. Yang Lei, James C. Bezdek, Jeffrey Chan, Nguyen Xuan Vinh, Simone Romano and James Bailey. IEEE Transactions on Fuzzy Systems. Available here.
Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs. Lida Rashidi, Andrey Kan, James Bailey, Jeffrey Chan, Rao Kotagiri, Christopher Leckie, Wei Liu, and Sutharshan Rajasegarar. Proceedings of the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), pp 162-178, Riva del Garda, Italy, Sept. 19-23, 2016. Available here.
Accelerating Online CP Decompositions for Higher Order Tensors. Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia and Ian Davidson. Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 1375-1384, August 13-17, San Francisco, USA, 2016. Available here.
Robust Domain Generalisation by Enforcing Distribution Invariance. Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao. Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 16). , pages 455-146, 9-15 July New York, USA, 2016. Available here.
Discovering Outlying Aspects in Large Datasets. Nguyen Xuan Vinh, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao and Jian Pei. Data Mining and Knowledge Discovery, 30(6), pp. 1520-155, 2016. Available here.
A Framework to Adjust Dependency Measure Estimates for Chance. Simone Romano, Nguyen Xuan Vinh, James Bailey and Karin Verspoor. Proceedings of the 2016 SIAM International Conference on Data Mining, pages 423-431, May 5-7 Miami, Florida, USA 2016. Winner of the Best Paper Award. Available here.
Lagrangian Constrained Clustering. Mohadeseh Ganji, James Bailey and Peter J. Stuckey. Proceedings of the 2016 SIAM International Conference on Data Mining, pp. 288-296, May 5-7 Miami, Florida, USA 2016. Available here.
R1STM: One-class Support Tensor Machine with Randomised Kernel. Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey and Kotagiri Ramamohanarao. Proceedings of the 2016 SIAM International Conference on Data Mining, pp. 198-206, May 5-7 Miami, Florida, USA 2016. Available here.
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, and Jeffrey Chan. Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'2016), pages 1195-1201, Available here.
Can High-Order Dependencies Improve Mutual Information based Feature Selection? Nguyen Xuan Vinh, Shuo Zhou, Jeffrey Chan and James Bailey. Pattern Recognition, Volume 53, pp.46-58, 2016. Available here.
Efficient Discovery of Contrast Subspaces for Object Explanation and Characterization. by Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Vinh Nguyen, Akiko Campbell and Changjie Tang. Knowledge and Information Systems, 47(1), pp. 99-129, 2016. Available here.
Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, and Benjamin I. P. Rubinstein. Proceedings of the 6th International Learning Analytics & Knowledge Conference (LAK), pages 546-547, April 25-29, Edinburgh, Scotland, 2016.
Invariant backpropagation: how to train a transformation-invariant neural network. Sergey Demyanov, James Bailey, Ramamohanarao Kotagiri, Christopher Leckie. arXiv preprint. arXiv:1502.04434, 2015.
Traffic Forecasting In Complex Urban Networks: Leveraging Big Data and Machine Learning. Florin Schimbinschi, Xuan Vinh Nguyen, James Bailey, Chris Leckie, Hai Vu, and Ramamohanarao Kotagiri. Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData), pages 1019-1024, Oct 29-Nov 01, Santa Clara, USA, 2015. Available here.
Trajectory Inference for Mobile Devices Using Connected Cell Towers. Kushani Perera, Tanusri Bhattacharya, Lars Kulik and James Bailey. Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Article No. 23, November 3-6, Seattle, Washington, 2015. Available here.
Detection of deception in the Mafia party game. Sergey Demyanov, James Bailey, Ramamohanarao Kotagiri and Christopher Leckie. Proceedings of the 17th ACM International Conference on Multimodal Interaction, pp. 335-342, Seattle, Washington, USA, November 9-13, 2015. Available here.
How Private Can I Be Among Public Users? Elham Naghizade, James Bailey, Lars Kulik and Egemen Tanin. How Private Can I Be Among Public Users? Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), pages 1137- 1141, Osaka, Japan, Sept 7-11, 2015. Available here.
Generalized Modularity for Community Detection. M. Ganji, A. Seifi, H. Alizadeh, J. Bailey and P. J. Stuckey. Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2015), pp. 655-670, September 7-11, 2015. Available here.
Automated segmentation of surgical motion for performance analysis and feedback. Yun Zhou, Ioanna Ioannou, Sudanthi Wijewickrema, James Bailey, Gregor Kennedy and Stephen O'Leary. Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 379-386, October 5-9, 2015. Available here.
Efficient Mining of Platoon Patterns in Trajectory Databases. Yuxuan Li, James Bailey and Lars Kulik. Data and Knowledge Engineering, pages 167-187, Volume 100, Part A, November 2015. Available here.
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. N. X. Vinh and J. Chan and J. Bailey and C. Leckie and K. Ramamohanarao and J. Pei. Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 422-434, May 19-22, 2015. Available here.
A Framework for Simplifying Trip Data into Networks via Coupled Matrix Factorization. Chia-Tung Kuo, James Bailey and Ian Davidson. Proceedings of the 2015 SIAM International Conference on Data Mining (SDM), pp. 739-747, Vancouver, Canada, 2015. Available here.
Identifying At-Risk Students in Massive Open Online Courses. Jiazhen He, James Bailey, Benjamin Rubinstein and Rui Zhang. Proc. of the 29th AAAI Conference on Artificial Intelligence, pp. 1749 - 1755, Austin, Texas, Jan 25-29, 2015. Available here.
Ranking Cell Tracking Systems without Manual Validation. Andrey Kan, John Markham, Rajib Chakravorty, James Bailey and Christopher Leckie. Pattern Recognition Letters, Volume 53, pages 38-43, 2015. Available here.
Mining Outlying Aspects on Numeric Data. L. Duan, G. Tang, J. Pei, J. Bailey, A. Campbell, and C. Tang. Data Mining and Knowledge Discovery, 29(5) , pp 1116-1151, 2015. Available here.
Automatically Recognizing Places of Interest from Unreliable GPS Data Using Spatio-temporal Density Estimation and Line Intersections. Tanusri Bhattacharyaa, Lars Kulik and James Bailey. Pervasive and Mobile Computing , Volume 19, Pages 86-107, 2015. Available here.
A Framework to Uncover Multiple Alternative Clusterings. Xuan-Hong Dang and James Bailey. Machine Learning, 98(1-2), pp 7-30, 2015. Paper pdf (The final publication is available here).
Enriched Spatial Comparison of Clusterings Through Discovery of Deviating Subspaces. Eric Bae and James Bailey. Machine Learning, 98(1-2), pp. 93-120, 2015. Paper pdf (The final publication is available here).
Mining multidimensional contextual outliers from categorical relational data. Guanting Tang, Jian Pei, James Bailey and Guozhu Dong. Intelligent Data Analysis, 19(5), pp. 1171-1192, 2015. Available here.
Developing Effective Automated Feedback in Temporal Bone Surgery Simulation. Sudanthi Wijewickrema, Patorn Piromchai, Yun Zhou, Ioanna Ioannou, James Bailey, Gregor Kennedy and Stephen O'Leary. Otolaryngology-Head and Neck Surgery, Volume 152, pp. 1082-1088, 2015. Preprint is available here.
Region-Specific Automated Feedback in Temporal Bone Surgery Simulation. Sudanthi Wijewickrema, Ioanna Ioannou, Yun Zhou, Patorn Piromchai, James Bailey, Gregor Kennedy, Stephen O'Leary. Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Pages 310-315, June 22-25, Brazil, 2015.
TRIBAC: Discovering Interpretable Clusters and Latent Structure in Graphs. Jeffrey Chan, Christopher Leckie, James Bailey and Kotagiri Ramamohanarao. Proc. of the IEEE International Conference on Data Mining (ICDM), pp. 737-742, Shenzhen, China, Dec. 14-17, 2014. Available here.
Laboratory Tests to Identify Patients at Risk of Early Major Adverse Events: A Prospective Pilot Study. Melissa Kaufman, Bronwyn Bebee, James Bailey Raymond Robbins, Graeme Hart and Rinaldo Bellomo. Internal Medicine Journal, Oct;44(10):1005-12, 2014.
FILTA: Better View Discovery from Collections of Clusterings via Filtering. Yang Lei, Nguyen X. Vinh, Jeffrey Chan and James Bailey. Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2014), pp. 145-160, Nancy, France, September 15-19, 2014. Available here.
Effective Global Approaches for Mutual Information based Feature Selection. Nguyen X. Vinh, Jeffrey Chan, Simone Romano and James Bailey. Proceeedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 512-521, August 24-27, New York City, 2014. Available here.
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance. Simone Romano, James Bailey, Nguyen X. Vinh and Karin Verspoor. Proceedings of the 31st International Conference on Machine Learning (ICML), pp. 1143-1151, Beijing, China, 21-26 June 2014. Paper PDF and code are here.
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. Nugyen X. Vinh, Jeffrey Chan and James Bailey. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), pp. 2092-2098, Quebec City, Canada, July 27-31 2014. Available here.
Efficient Matching of Substrings in Uncertain Sequences. Yuxuan Li, James Bailey, Lars Kulik and Jian Pei. Proceedings of the 2014 SIAM International Conference on Data Mining (SDM), pages 767-775, April 24-26, 2014, Philadelphia, Pennsylvania, USA. Available here.
Mining Contrast Subspaces. Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guzohu Dong, Akiko Campbell and Changjie Tang. Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), pages 249-260, May 13-16, 2014, Tainan, Taiwan. Winner of the best paper award. Available here.
Structure-aware Distance Measures for Comparing Clusterings in Graphs. Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao and Jian Pei. Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), pages 362-373, May 13-16, 2014, Tainan, Taiwan. Available here.
Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. Jiazhen He, James Bailey and Rui Zhang. Proceedings of the The 19th International Conference on Database Systems for Advanced Applications (DASFAA), pp 141-155, Bali, Indonesia, April 21-24, 2014. Available here.
Generating Multiple Alternative Clusterings Via Globally Optimal Subspaces. Xuan-Hong Dang and James Bailey. Data Mining and Knowledge Discovery, 28(3), pp. 569-592, 2014. Paper pdf (The final publication is available here).
Quantitative analysis of Plasmodium ookinete motion in three-dimensions suggests a critical role for cell shape in the biomechanics of malaria parasite gliding motility. A. Kan, Y. Tan, F. Angrisano, E. Hanssen, K. L. Rogers, L. Whitehead, V. P. Mollard, A. Cozijnsen, M. J. Delves, S. Crawford, R. E. Sinden, G. I. McFadden, C. Leckie, J. Bailey and J. Baum. Cellular Microbiology, 16(5), pp. 734-750, 2014. Available here.
Transfer learning of a temporal bone performance model via anatomical feature registration. Yun Zhou, Ioanna Ioannou, Sudanthi Wijewickrema, James Bailey, Stephen O'Leary and Gregor Kennedy. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR) 2014, pages 1916-1921, Stockholm, Sweden 24-28 August 2014. Available here.
Generalized Information Theoretic Cluster Validity Indices for Soft Clusterings. Yang Lei, Simone Romano, Nguyen Xuan Vinh, Jeffrey Chan, James Bailey and James C. Bezdek. Proc. of the IEEE Symposium Series on Computational Intelligence, pages 24-31, Orlando, Florida, Dec. 9-12, 2014. Available here.
Improved Feature Transformations for Classification using Density Estimation. Yamuna Kankanige and James Bailey. Proc. of the 13th Pacific Rim International Conference on Artificial Intelligence, pages 117-129, Gold Coast, Australia, December 1-5, 2014.
A Context-aware Do-Not-Disturb Service for Mobile Devices. Qin, Y., Bhattacharya, T., Kulik, L. and Bailey, J. Proceedings of the The 13th International Conference on Mobile and Ubiquitous Multimedia, pages 236-239, 25-28 November, Melbourne, Australia.
Is This You? Identifying a Mobile User Using Only Diagnostic Features. Quattrone, A., Bhattacharya, T., Kulik, L., Tanin, E. and Bailey, J. Proceedings of the The 13th International Conference on Mobile and Ubiquitous Multimedia, pages 240-243, 25-28 November, Melbourne, Australia.
Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns with Gap Constraints from Uncertain Databases. Yuxuan Li, James Bailey, Lars Kulik, and Jian Pei. 2013 IEEE International Conference on Data Mining (ICDM), pp. 448 - 457, Dallas, Texas, December 7-10, 2013. Available here.
Discrimination-aware classification for imbalanced datasets. G. Ristanoski, W. Liu and J. Bailey. Proc. of the 22nd ACM Conference on Information and Knowledge Management (CIKM) , Pages 1529-1532 , Oct. 27 -Nov. 1, San Francisco, 2013. PDF is here.
Discovering Latent Blockmodels in Sparse and Noisy Graphs using Non-Negative Matrix Factorisation. J. Chan, W. Liu, A. Kan, C. Leckie, J. Bailey and K. Ramamohanarao. Proc. of the 22nd ACM Conference on Information and Knowledge Management (CIKM), Pages 811-816, Oct. 27 -Nov. 1, San Francisco, 2013. Available here.
Pattern Based Real Time Feedback for a Temporal Bone Simulator. Yun Zhou, James Bailey, Ioanna Ioannou, Sudanthi Wijewickrema, Stephen O'Leary and Gregor Kennedy. Proc. of the 19th ACM Symposium on Virtual Reality Software and Technology (VRST), pp. 7-16. Singapore, 6-9 October 2013. Available here.
A Bayesian Classifier for Learning from Tensorial Data. W. Liu, J. Chan, J. Bailey, C. Leckie, F. Chen, and R. Kotagiri. Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013), pp. 483-498, Prague 23-27 September, 2013. PDF is here.
A Time-Dependent Enhanced Support Vector Machine For Time Series Regression. G. Ristanoski, W. Liu and J. Bailey. Proc. of the 19th ACM SIGKDD Conference on Knowledge, Discovery and Data Mining (KDD), pages 946--954, August 11-14, Chicago, Illinois USA, 2013. PDF is here.
Mining Multidimensional Contextual Outliers from Categorical Relational Data. G. Tang, J. Pei, J. Bailey and G. Dong. Proc. of the 25th International Conference on Scientific and Statistical Database Management (SSDBM), pp. 43:1--43:4, July 29-31, Baltimore, Maryland, 2013. Paper pdf
Constructive Real Time Feedback for a Temporal Bone Simulator. Y. Zhou, J. Bailey, I. Ioannou, S. Wijewickrema, G. Kennedy and S. O'Leary. Proc. of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 315-322, Sep. 22-26, Nagoya, Japan, 2013. Paper pdf
Measures for Ranking Cell Trackers without Manual Validation. Andrey Kan, Christopher Leckie, James Bailey, John Markham and Rajib Chakravorty. Pattern Recognition, 46(11), pp. 2849-2859, 2013. Paper pdf
Comments on Supervised Feature Selection by Clustering Using Conditional Mutual Information-based Distances. Xuan Vinh Nguyen and James Bailey. Pattern Recognition, 46(4), pages 1220-1225, 2013. Paper pdf
Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces. Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, and Kotagiri Ramamohanarao. Proc. of the 2013 SIAM International Conference on Data Mining (SDM), pp. 614-622, Austin, Texas, May 2-4, 2013. Available here.
Time Series Forecasting using Distribution Enhanced Linear Regression. Goce Ristanoski, Wei Liu and James Bailey. Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), pp. 484-495, Brisbane, Australia, April 14-17, 2013. Available here.
Clustering and Visualization of Fuzzy Communities In Social Networks. Timothy Havens, James Bezdek, Christopher Leckie, Jeffery Chan, Wei Liu, James Bailey, Kotagiri Romamohanarao and Marimuthu Palaniswami. Proceedings of the 2013 IEEE International Conference on Fuzzy Systems, pp. 1-7, July 7-10, Hyderabad, India, 2013. Available here.
Discovery and Analysis of Consistent Active Sub-networks in Cancers. Raj Gaire, Lorey Smith, Patrick Humbert, James Bailey, Peter J. Stuckey, and Izhak Haviv. BMC Bioinformatics, 14(S2):S7, 2013. Available here.
Common Laboratory Tests Predict Imminent Medical Emergency Team Calls, ICU Admission or Death in Emergency Department Patients. Elsa Loekito, James Bailey, Rinaldo Bellomo, Graeme K. Hart, Colin Hegarty, Peter Davey, Christopher Bain, David Pilcher and Hans Schneider. Emergency Medicine Australasia, 25(2), pp. 132-139, 2013.
Common Laboratory Tests Predict Imminent Death in Ward Patients. Elsa Loekito, James Bailey, Rinaldo Bellomo, Graeme K Hart, Colin Hegarty, Peter Davey, Christopher Bain, David Pilcher, Hans Schneider. Resuscitation, 84(3), pp. 280-285, 2013.
A Time Decoupling Approach for Studying Forum Dynamics. Andrey Kan, Jeffrey Chan, Conor Hayes, Bernie Hogan, James Bailey, Christopher Leckie, World Wide Web Journal, 16(5-6), pp. 595-620, Pre-print available here. Supplementary information is here.
Alternative Clustering Analysis: A Review. James Bailey. Data Clustering: Algorithms and Applications, pp. 535-550, (Editors Charu Aggarwal and Chandan Reddy), CRC Press, 2013. Available here.
Evaluating Surgical Performance in Real Time Using Data Mining. Yun Zhou, Ioanna Ioannou, James Bailey, Stephen O'Leary and Gregor Kennedy. Proceedings of the 11th Australasian Data Mining Conference (AusDM), Canberra, 13-15 November, 2013.
Contrast Data Mining: Concepts, Algorithms and Applications. Guozhu Dong and James Bailey (editors). Chapman & Hall/CRC (Data Mining and Knowledge Discovery Series), September 2012. Book website is here.
Computer-aided Diagnosis of Melanoma Using Border and Wavelet-based Texture Analysis. R. Garnavi, M. Aldeen and J. Bailey. IEEE Transactions on Information Technology in BioMedicine, 16(6), 1239-1252, 2012. Available here.
Utilizing Common Substructures to Speedup Tensor Factorization for Mining Dynamic Graphs. Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie and Rao Kotagiri Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012), pages 435--444, Oct 29-Nov 2 Maui, USA, 2012. Available here. Code here.
On Compressing Weighted Time-evolving Graphs. Wei Liu, Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie, Jian Pei and Kotagiri Ramamohanarao. Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012), pages 2319-2322, Oct 29-Nov 2, Maui, USA, 2012 Available here.
ciForager: Incrementally Discovering Regions of Correlated Change in Evolving Graphs. Jeffrey Chan, James Bailey, Christopher Leckie and Michael Houle. ACM Transactions on Knowledge Discovery from Data, 6(3), article no. 11, 2012. Available here.
SeqiBloc: Mining Multi-time Spanning Blockmodels in Dynamic Graphs. Jeffrey Chan, Wei Liu, Christopher Leckie, James Bailey and Ramamohanarao Kotagiri. Proceedings of the 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages 651-659, Beijing, China, August 12-16, 2012. Available here.
Extracting Significant Places from Mobile User GPS Trajectories: A Bearing Change Based Approach. Tanusri Bhattacharya, Lars Kulik and James Bailey. Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012),pages 398-401, November 6-9, 2012. Paper pdf.
Sentiment Analysis by Augmenting Expectation Maximisation with Lexical Knowledge. Xiuzhen Zhang, Yun Zhou, James Bailey and Kotagiri Ramamohanarao. Proceedings of the 13th International Conference on Web Information System Engineering (WISE 2012), pages 30--43, Cyprus, November 28-30, 2012. Paper pdf.
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao and Christopher Leckie. Proceedings of the Fourth Asian Conference on Machine Learning (ACML), pages 97-112, Singapore, 4-6 November, 2012. Paper pdf.
An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries. Wei Liu, Sanjay Chawla, James Bailey, Christopher Leckie and Ramanohanorao Kotagiri. Proceedings of AI'12: The 25th Australasian Joint Conference on Artificial Intelligence, pages 649-660, Sydney, Australia, 4-7 December 2012. Winner of the best paper award. Paper pdf.
Data mining interactions in a 3D immersive environment for real-time feedback during simulated surgery. Gregor Kennedy, Ioanna Ioannou, Yun Zhou, James Bailey and Stephen O'Leary. Proceedings of the Australasian Society for Computers in Learning in Tertiary Education, pages 468-478, Wellington, New Zealand, 2012. Winner of the best paper award. Paper pdf.
Improving MeSH classification of biomedical articles using citation contexts. B Aljaber, D Martinez, N Stokes, J Bailey. Journal of Biomedical Informatics, 44(5), pp. 881-896, 2011. Available here.
Distribution Based Data Filtering for Financial Time Series Forecasting. G. Ristanoski and J Bailey. Proceedings of the 2011 Australian Joint Conference on Artificial Intelligence, pp 122-131. Available here.
Reference-free Validation of Short Read Data. Jan Schroeder, James Bailey, Thomas Conway and Justin Zobel. PLoS ONE, 5(9), pages e12681, 2010. Available here.
is-rSNP: a novel technique for in silico regulatory SNP detection. Geoff Macintyre, James Bailey, Izhak Haviv and Adam Kowalczyk. Bioinformatics, 26(18), pages i524-i530, 2010. Available here.
Using gene ontology annotations in exploratory microarray clustering to understand cancer etiology. Geoff Macintyre, James Bailey, Daniel Gustafsson, Izhak Haviv and Adam Kowalczyk. Pattern Recognition Letters, 31(14), pages 2138-2146, 2010. Pre-print is available here.
A Clustering Comparison Measure Using Density Profiles and its Application to the Discovery of Alternate Clusterings. Eric Bae, James Bailey and Guozhu Dong. Data Mining and Knowledge Discovery, 21(3), pages 427-471, 2010. PDF.
A Binary Decision Diagram Based Approach for Mining Frequent Subsequences. Elsa Loekito, James Bailey and Jian Pei. Knowledge and Information Systems, 24(2), pages 235-268, 2010. PDF.
Classifying proteins using gapped markov feature pairs. Xiaonan Ji, James Bailey and Kotagiri Ramamohanarao. Neurocomputing, 73(13-15), pages 2363-2374, 2010. Pre-print is available here.
A Hierarchical Information Theoretic Technique for the Discovery of Non Linear Alternative Clusterings. Xuan-Hong Dang and James Bailey. Proceedings of The 16th ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2010), pages 573-582, July 25-28, 2010. Avalailable here.
Document Clustering of Scientific Texts using Citation Contexts. Bader Aljaber, Nicola Stokes, James Bailey and Jian Pei. Information Retrieval, 13(2), pages 101-131, 2010. Pre-publication PDF.
Enhancing the B+-tree by Dynamic Node Popularity Caching. Cui Yu, James Bailey, Julian Montefusco, Rui Zhang, Jiling Zhong. Information Processing Letters, 110(7), pages 268-273, 2010. Available here.
MIRAGAA - A methodology for finding coordinated effects of microRNA expression changes and genome aberrations in cancer. R. Gaire, J. Bailey, J. Bearfoot, I. G. Campbell, P. J. Stuckey and I. Haviv. Bioinformatics, 26(2), pages 161-167, 2010. Project page is here. Paper is here.
Logical Queries over Views: Decidability and Expressiveness. James Bailey, Guozhu Dong and Anthony Widjaja To. ACM Transactions on Computational Logic, 11(2), pages 1-35, 2010. Available here.
A Fast Indexing Approach for Protein Structure Comparison Lei Zhang, James Bailey, Arun S. Konagurthu and Kotagiri Ramamohanarao. BMC Bioinformatics, 11(Suppl 1):S46, 2010. Available here.
Generation of Alternative Clusterings Using the CAMI Approach. Xuan-Hong Dang and James Bailey. Proceedings of the 2010 SIAM International Conference on Data Mining (SDM), pages 118-129, April 29-May 1, 2010, Columbus, Ohio, USA. Available here.
A Novel Scalable Multi-Class ROC for Effective Visualization and Computation. Md. Rafiul Hassan, Kotagiri Ramamohanarao, Chandan Karmakar, M. Maruf Hossain and James Bailey. Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 107-120, Hyderabad, India, 21-24 June, 2010. Available here.
Mining Distribution Change in Stock Order Streams. Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey and Kotagiri Ramamohanarao. Proceedings of the 26th International Conference on Data Engineering Conference (ICDE) 2010, pages 105-108, Long Beach, California, USA. Available here.
Efficient Incremental Mining of Contrast Patterns in Changing Data. James Bailey and Elsa Loekito. Information Processing Letters, 110(3), pages 88-92, 2010. Available here.
Classification of Melanoma Lesions Using Wavelet-based Texture Analysis. R. Garnavi, M. Aldeen and J. Bailey. Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA), , pages 75-81, Sydney, Australia, 1-3 December, 2010. Paper available here.
RegHunter: Using Graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs. Jeffrey Chan, James Bailey and Christopher Leckie. Intelligent Data Analysis, 13(5), pages 755-793, 2009. Available here.
A Query Based Approach for Mining Evolving Graphs. Andrey Kan, Jeffrey Chan, James Bailey and Christopher Leckie. Proceedings of The Australasian Data Mining Conference: AusDM 2009, pages 139-150, Melbourne, December 1-4, 2009. Available here.
Building More Robust Multi-Agent Systems Using a Log-based Approach. Amy Unruh, James Bailey and Kotagiri Ramamohanarao. Web Intelligence and Agent Systems, 7(1), 65-87, 2009. Available here.
A Voting Approach to Identify a Small Number of Highly Predictive Genes based on Multiple Classifiers. Md. Rafiul Hassan, M. Maruf Hossain, James Bailey, Geoff Macintyre, Joshua W. K. Ho and Kotagiri Ramamohanarao. BMC Bioinformatics, BMC Bioinformatics, 10(S1):S19, 2009. Available here.
Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile ? Elsa Loekito and James Bailey. Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), pages 483-490, Bangkok, April 27-30, 2009. Available here .
Feature Weighted SVMs Using Receiver Operating Characteristics. Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan, James Bailey and Kotagiri Ramamohanarao. Proceedings of the 2009 SIAM International Conference on Data Mining (SDM09), April 30 - May 2, pages 497-508, Nevada, USA. Available here.
Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary ? Xuan Vinh Nguyen, Julien Epps and James Bailey. Proceedings of the 26th International Conference on Machine Learning (ICML 2009), pages 1073-1081, June 14-18, Montreal, Canada, 2009. Available here.
Semantic Web Query Languages. James Bailey, Francois Bry, Tim Furche, Sebastian Schaffert. Encyclopedia of Database Systems, Springer. Pages 2583-2586, Springer, 2009. Available here.
Exploring the benefit of contextual information for boosting TREC Genomic IR performance. Bader Aljaber, Nicola Stokes, James Bailey and Yi Li. Proceedings of the 13th Australasian Document Computing Symposium (ADCS),pages 23-26, Hobart, Australia, December 2008. Available here.
Mining Influential Attributes That Capture Class and Group Contrast Behaviour. Elsa Loekito and James Bailey. Proceedings of the ACM 17th Conference on Information and Knowledge Management (CIKM), pages 971-980, Napa Valley, California, USA, October 26-30, 2008. Available here.
Discovering Correlated Spatio-Temporal Changes in Evolving Graphs. Jeffrey Chan, James Bailey and Christopher Leckie. Knowledge and Information Systems, 16(1), Pages 53-96, 2008. Available here .
Improving k-Nearest Neighbour Classification with Distance Functions based on Receiver Operating Characteristics. MD. Rafiul Hassan, M. Maruf Hossain, James Bailey and Kotagiri Ramamohanarao. Proceedings of the The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pages 489-504, Antwerp, Belgium, 2008. Available here.
Gene Ontology Assisted Exploratory Microarray Clustering and its Application to Cancer. Geoffrey MacIntyre, James Bailey, Daniel Gustafsson, Adam Kowalczyk, Alex Boussioutas and Izhak Haviv. Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB), pages 400-411, Melbourne, 2008. Available here.
g-MARS:Protein Classification using Gapped Markov Chains and Support Vector Machines . Xiaonan Ji, James Bailey and Kotagiri Ramamohanarao. Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB), pages 165-177, Melbourne, 2008. Winner of the best paper award. Available here.
ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data. M. Maruf Hossain, MD. Rafiul Hassan and James Bailey. Proceedings of the 2008 SIAM Conference on Data Mining (SDM), Pages 455-465, Atlanta Georgia, April 24-26, 2008. Available here .
Mining, Ranking and Using Acronym Patterns. Xiaonan Ji, Gu Xu, James Bailey and Hang Li. Proceedings of the 10th Asia Pacific Web Conference (APWeb), Pages 371-382, Shenyang, China, April 26-28, 2008. Available here .
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets ? Elsa Loekito and James Bailey. Proceedings of The Australasian Data Mining Conference: AusDM 2007. Pages 139-150, Gold Coast, Australia, December 2007. Available here.
An efficient mining technique for approximately frequent substring patterns XIaonan Ji and James Bailey. Proceedings of the Workshop on High Performance Data Mining. Held in conjunction with 7th IEEE International Conference on Data Mining (ICDM 2007). Pages 325-330, Omaha, USA, November 2007. Available here.
Merging Dynamic Functionality: Integration of XML Transformations. James Bailey and Ce Dong. In Proc. Fourth Asia-Pacific Conference on Conceptual Modelling (APCCM2007), Ballarat, Australia. CRPIT, 67.
A Framework for Integrating XML Transformations Ce Dong and James Bailey. Proceedings of the 25th International Conference on Conceptual Modeling (ER2006) . Pages 182-195, Springer LNCS 4215, Tucson, Arizona, USA. November 6-9, 2006. Available here .
Fast Mining of High Dimensional Expressive Contrast Patterns Using Zero-suppressed Binary Decision Diagrams Elsa Loekito and James Bailey. Proceedings of The Twelfth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD 2006) . Pages 307-316, August 20-23, 2006. Philadelphia, USA. Available here .
XSLTGen: A System for Automatically Generating XML Transformations Via Semantic Mappings. Stella Waworuntu and James Bailey. Journal on Data Semantics, Volume V, LNCS 3870, pages 91-129, 2006. Paper is available here . The software is available here .
Mining Minimal Contrast Subgraph Patterns. Roger Ting and James Bailey. Proceedings of the 6th SIAM International Conference on Data Mining (SDM 2006) . Pages 639-643, Maryland, USA. Available here .
Clustering Similarity Comparison Using Density Profiles. Eric Kyoo Han Bae, James Bailey and Guozhu Dong. Proceedings of the 19th Australian Joint Conference on Artificial Intelligence. Pages 342-351, Springer LNCS 4304, Hobart, Tasmania, Dec 4-8, 2006. Available here .
Mining Generalised Emerging Patterns. Xiaoyuan Qian, James Bailey and Christopher Leckie. Proceedings of the 19th Australian Joint Conference on Artificial Intelligence. Pages 295-304, Springer LNCS 4304, Hobart, Tasmania, Dec. 4-8,2006. Available here .
Fast Discovery of Interesting Collections of Web Services Zhou Zhu and James Bailey. Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06). Pages 152-158, Hong Kong, China, 2006. Available here .
A Logging-Based Approach for Building More Robust Multi-Agent Systems Amy Unruh, James Bailey and Kotagiri Ramamohanarao. Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-2006). Hong Kong, China, 2006.
COALA : A Novel Approach for the Extraction of an Alternate Clustering of High Quality and High Dissimilarity Eric Bae and James Bailey. Proceedings of the IEEE International Conference on Data Mining (ICDM). Pages 53-62, Hong Kong, China, 2006. Available here .
Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs Jeffrey Chan, James Bailey and Christopher Leckie. Proceedings of the 1st International Workshop on Spatial and Spatio-temporal Data Mining (SSTDM). Held in conjunction with ICDM 2006, pages 361-365. December 18, 2006, Hong Kong. Available here .
Mining Minimal Distinguishing Subsequence Patterns with Gap Constraints. Xiaonan Ji and James Bailey and Guozhu Dong. Proceedings of 5th IEEE International Conference on Data Mining (ICDM). Houston, Texas, USA, 27 - 30 November 2005. Pages 194-201. Available here . Winner of the Best Paper Award. Extended version in Knowledge and Information Systems.
Efficient Mining of Contrast Patterns and their Application to Classification. Ramamohanarao, K. and Bailey, J and Fan, H. Proceedings of the 3rd International Conference on Intelligent Sensing and Information Processing , pages 194-201, 14-17 December, Bangalore, India, 2005. Available here .
Flavours of XChange, a Rule-Based Reactive Language for the (Semantic) Web James Bailey, Francois Bry, Michael Eckert, and Paula-Lavinia Patranjan: Proceedings of the International Conference on Rules and Rule Markup Languages for the Semantic Web (RULEML-2005) . Galway, Ireland 10-12 November 2005. Pages 187-192. Springer Verlag LNCS 3791 Available here .
Optimization of XSLT by Compact Specialization and Combination Ce Dong and James Bailey. Proceedings of the 6th International Conference on Web Information Systems Engineering (WISE). New York, USA, Nov 20-22, 2005. Springer Verlag LNCS 3806, Pages 304-317. Available here .
Semantic-Compensation-Based Recovery in Multi-Agent Systems Amy Unruh, Henry Harjadi, James Bailey, Kotagiri Ramamohanarao. Proceedings of the Second IEEE Symposium on Multi-Agent Security and Survivability. Philadelphia, USA, August 30-31, 2005. Pages 85-94. IEEE Xplore Digital Library. Available here .
Web and Semantic Web Query Languages: A Survey James Bailey, Francois Bry, Tim Furche, and Sebastian Schaffert. Reasoning Web, First International Summer School 2005, Norbert Eisinger, Jan Maluszynski (editor(s)), pages 35-133, LNCS 3564, 2005 Available here .
Composite Event Queries for Reactivity on the Web. James Bailey, Francois Bry and Paula Patranjan 14th International World Wide Web Conference (WWW'2005). Pages 1082-1083, ACM 2005, ISBN 1-59593-051-5 Chiba, Japan, May 2005. Available here .
Transformation and Reaction Rules for Data on the Web James Bailey. Proceedings of the 16th Australasian Database Conference (ADC). January 2005 . Pages 17-26. Australian Computer Science Communications 27(2). Newcastle, Australia, January 2005 . Available here .
Discovery of Minimal Unsatisfiable Subsets of Constraints Using Hitting Set Dualization James Bailey and Peter Stuckey. Proceedings of the Seventh International Symposium on Practical Aspects of Declarative Languages (PADL). Pages 174-186. Springer Verlag LNCS Volume 3350. January 10-11, Long Beach, USA, 2005. Available here .
Optimization of XML Transformations Using Template Specialization. Ce Dong and James Bailey. Proceedings of the 5th International Conference on Web Information Systems Engineering (WISE). Pages 352-364. Springer Verlag LNCS Volume 3306. November 22-24, Brisbane, Australia, 2004. Available here .
Managing Semantic Compensation in a Multi-Agent System . Amy Unruh and James Bailey and Kotagiri Ramamohanarao. Proceedings of the 12th International Conference on Cooperative Information Systems (CoopIS). Pages 245-263, Springer Verlag LNCS Volume 3290. Agia Napia, Cyprus, October 25-20, 2004. Available here .
XSLTGen: A System for Automatically Generating XML Transformations via Semantic Mappings . Stella Waworuntu and James Bailey. Proceedings of the 23rd International Conference on Conceptual Modeling (ER2004). Pages 479-492, Springer Verlag LNCS Volume 3288. Shanghai, China, November 8-12, 2004. Abstract here . Longer (journal) version published in 2006 available here . The software is available here .
ParaDualMiner: An efficient parallel implementation of the DualMiner Algorithm. Ting, R. and Bailey, J. and Ramamohanarao, K. Proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Pages 96-105. Springer Verlag, LNAI 3056. Sydney, Australia, May 2004. Available here .
On the decidability of the termination problem of active database systems . J. Bailey, G. Dong and K. Ramamohanarao. Theoretical Computer Science . Vol 311(1-3) 389-437, 2004. Available here .
Static Analysis of XSLT Programs. Ce Dong and James Bailey. Proceedings of the 15th Australasian Database Conference (ADC).. Australian Computer Science Communications 26(2). Pages 151-160. Dunedin, New Zealand, January 2004. Available here .
Emerging patterns: Mining and Applications. Ramamohanarao, K. and Bailey, J. Proceedings of the International Conference on Intelligent Sensing and Information Processing . Pages 409-414. Chennai, India, January 2004.
Analysis of functional active databases. J. Bailey and A. Poulovassilis. Appears in The Functional Approach to Data Management: Modeling, Analyzing and Integrating Heterogeneous Data. Springer-Verlag 2004. Pages 262-287. Available here
An Event-Condition-Action Language for XML J. Bailey and G. Papamarkos and A. Poulovassilis and P. Wood. Appears in Web Dynamics: Adapting to Change in Content, Size, Topology and Use. Springer-Verlag 2004. Pages 223-248. Available here
A Framework for Goal-Based Semantic Compensation in Agent Systems. A. Unruh., J. Bailey, and K. Ramamohanarao. 1st International Workshop on Safety and Security in Multi-Agent Systems, AAMAS '04, 2004. Available here
A Fast Algorithm for Computing Hypergraph Transversals and its Application in Mining Emerging Patterns. J. Bailey and T. Manoukian and K. Ramamohanarao. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM). Pages 485-488. Florida, USA, November 2003. Available here .
CodeX: An approach for debugging XSLT transformations. E. Bae and J. Bailey. 4th International Conference on Web Information Systems Engineering (WISE). IEEE Computer Society. Pages 309-312. Roma, Italy, December 2003. Available here .
Classification Using Constrained Emerging Patterns. J. Bailey and T. Manoukian and K. Ramamohanarao. 4th International Conference on Web-Age Information Management (WAIM). Springer Verlag LNCS 2762. Pages 226-237. Chengdu, China, August 2003. Available here .
Discovery of Emerging Patterns and their Use in Classification. K. Ramamohanarao and J. Bailey. Proceedings of the 16th Australian Joint Conference on Artificial Intelligence. LNAI 2903 Springer Verlag. Pages 1-12. Perth, Australia, December 2003. Available here .
A reliable computational model for BDI Agents. P. Busetta and J. Bailey and K. Ramamohanarao. In Proceedings of 1st International Workshop on Safe Agents. Held in conjunction with AAMAS2003. Available here .
Analysis and Optimisation of Event-Condition-Action Rules on XML J. Bailey, A. Poulovassilis, P. Wood. Computer Networks Journal - Special Issue on Web Dynamics. Vol 39 (2002), 239-259. Abstract here . Paper here
An Event-Condition-Action Language for XML J. Bailey, A. Poulovassilis, P. Wood. Proceedings of the 11th International World Wide Web Conference (WWW). ACM Press. Pages 486-495. Hawaii, USA, 2002. Paper here
Fast Algorithms for Mining Emerging Patterns J. Bailey, T. Manoukian and K. Ramamohanarao Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 2002 . LNAI 2431, pages 39-50. Paper here
Expressiveness issues and decision problems for active database event queries James Bailey and Szabolcs Mikulas Proceedings of the 8th International Conference on Database Theory (ICDT) . LNCS 1973, pages 68-82, London, 2001. Available here
Optimising Active Database Rules by Partial Evaluation and Abstract Interpretation James Bailey, Alexandra Poulovassilis, Simon Courtenage Proceedings of 8th International Wokshop on Database Programming Languages (DBPL) 2001 . LNCS 2397, pages 300-317. Abstract here Available here
Transaction Oriented Computational Models for Multi-Agent Systems Kotagiri Ramamohanarao, James Bailey, Paolo Busetta. Proceedings of 13th IEEE International Conference on Tools with Artificial Intelligence (ICTAI). Dallas, 2001. IEEE Press, pages 11-17. Abstract here Available here
A Dynamic Approach to Termination Analysis for Active Database Rules James Bailey, Alexandra Poulovassilis and Pete Newson Proceedings of 1st International Conference on Computational Logic (CL2000). LNCS 1861. Pages 1106-1120. Abstract here. Available here.
Decidability of First Order Logic Queries Over Views James Bailey, Guozhu Dong Proceedings of the 7th International Conference on Database Theory (ICDT), . LNCS 1540, pages 83-99. Jerusalem, Israel, 1999 Abstract here. Available here. An extended version of this paper is here.
Abstract Interpretation for Termination Analysis in Functional Active Databases James Bailey and Alexandra Poulovassilis Journal of Intelligent Information Systems, 12(2/3) 1999. Abstract here. Available here.
An Abstract Interpretation Framework for Termination Analysis of Active Rules James Bailey and Alexandra Poulovassilis Proceedings of the 7th International Workshop on Database Programming Languages (DBPL) 1999. LNCS 1949 . Pages 249-266. Abstract here. Available here.
Decidability and Undecidability Results for the termination problem of active database rules James Bailey, Guozhu Dong and Kotagiri Ramamohanarao Proceedings of the 17th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS), 264-273, Seattle, Washington, 1998 Abstract here. Available here.
Incremental View Maintenance by Base Relation Tagging in Distributed Databases James Bailey, Guozhu Dong, Mukesh Mohania and X. Sean Wang Distributed and Parallel Databases 6(3) 287-309 1998. Abstract here. Available here.
On the foundations of termination analysis of active database rules PhD thesis, Department of Computer Science, University of Melbourne, February, 1998 Abstract here. Available here.
Abstract Interpretation of Active Rules and its use in Termination Analysis James Bailey, Lobel Crnogorac, Kotagiri Ramamohanarao and Harald Sondergaard Proceedings of the Sixth International Conference on Database Theory (ICDT), Delphi, Greece, 1997. LNCS 1186. . Pages 188-202. Abstract here. Available here.
Structural Issues in Active Rule Systems James Bailey, Guozhu Dong and Kotagiri Ramamohanarao Proceedings of the Sixth International Conference on Database Theory (ICDT), Delphi, Greece, 1997. LNCS 1186. Pages 203-214. Abstract here. Available here.
Issues in Active Databases James Bailey and Kotagiri Ramamohanarao Proceedings of the Sixth Australasian Database Conference, Glenelg, South Australia, 1995, Australian Computer Science Communications, Vol 17, No. 2, pp. 27-35 Abstract here. Available here.
Active Databases and Agent Systems - A Comparison.
James Bailey, Mike Georgeff, David Kemp, David Kinny and Kotagiri
Ramamohanarao
Proceedings of the Second International Workshop on Rules in Database Systems (RIDS),
Lecture Notes in Computer Science 985, pages 342-356, Athens, Greece, 1995.
Abstract here.
Available here.