James Bailey

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 183

Top Venues

Publications

Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis. CoRR (2024)
Zihan Yang, Richard O. Sinnott, James Bailey, Krista A. Ehinger
Exploring Automated Data Augmentation Approaches for Deep Learning: A Case Study of Individual Feral Cat Classification. HICSS (2024)
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey
LDReg: Local Dimensionality Regularized Self-Supervised Learning. CoRR (2024)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Unlearnable Examples For Time Series. CoRR (2024)
Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, Lars Kulik
Efficiently Learning Spatial Indices. ICDE (2023)
James Bailey, Michael E. Houle, Xingjun Ma
Relationships between tail entropies and local intrinsic dimensionality and their use for estimation and feature representation. Inf. Syst. 118 (2023)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Distilling Cognitive Backdoor Patterns within an Image. ICLR (2023)
Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8 (4) (2023)
Vincent Barbosa Vaz, James Bailey, Christopher Leckie, Peter J. Stuckey
Predict-Then-Optimise Strategies for Water Flow Control (Short Paper). CP (2023)
Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. CoRR (2023)
Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. WACV (2023)
Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke
A survey of automated data augmentation algorithms for deep learning-based image classification tasks. Knowl. Inf. Syst. 65 (7) (2023)
Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD (2023)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Distilling Cognitive Backdoor Patterns within an Image. CoRR (2023)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Backdoor Attacks on Time Series: A Generative Approach. CoRR (2022)
Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Ryan M. Kelly, Jason M. Lodge, James Bailey, Eduardo Velloso
To type or to speak? The effect of input modality on text understanding during note-taking. CHI (2022)
Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Anam Ahmad Khan, Gregor E. Kennedy, James Bailey, Ryan Shaun Baker
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. 32 (2) (2022)
Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri
Modelling Zeros in Blockmodelling. PAKDD (2) (2022)
Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang
Deep Learning for Search and Recommendation. CIKM (2022)
James Bailey, Michael E. Houle, Xingjun Ma
Local Intrinsic Dimensionality, Entropy and Statistical Divergences. Entropy 24 (9) (2022)
Yuansan Liu, James Bailey
De Novo Molecular Generation with Stacked Adversarial Model. AI (2022)
Anam Ahmad Khan, Joshua Newn, James Bailey, Eduardo Velloso
Integrating Gaze and Speech for Enabling Implicit Interactions. CHI (2022)
Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
MurTree: Optimal Decision Trees via Dynamic Programming and Search. J. Mach. Learn. Res. 23 (2022)
Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks. CoRR (2022)
Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition. CoRR (2022)
Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu
IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition. ECCV (25) (2022)
Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. CoRR (2022)
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. AAAI (2022)
Anam Ahmad Khan, Joshua Newn, Ryan Kelly, Namrata Srivastava, James Bailey, Eduardo Velloso
GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking. CoRR (2021)
Zihan Yang, Richard O. Sinnott, Qiuhong Ke, James Bailey
Individual Feral Cat Identification through Deep Learning. BDCAT (2021)
Anam Ahmad Khan, Joshua Newn, Ryan M. Kelly, Namrata Srivastava, James Bailey, Eduardo Velloso
GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking. ACM Trans. Comput. Hum. Interact. 28 (4) (2021)
Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI (2021)
Mahtab Mirmomeni, Lars Kulik, James Bailey
A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series. IJCNN (2021)
Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey
Generating Deep Networks Explanations with Robust Attribution Alignment. ACML (2021)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. ICLR (2021)
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. NeurIPS (2021)
Laurent Amsaleg, James Bailey, Amélie Barbe, Sarah M. Erfani, Teddy Furon, Michael E. Houle, Milos Radovanovic, Xuan Vinh Nguyen
High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions. CoRR (2021)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Dual Head Adversarial Training. CoRR (2021)
Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
On the Convergence and Robustness of Adversarial Training. CoRR (2021)
Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS (2021)
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. CoRR (2021)
Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu
Semantic-Preserving Adversarial Text Attacks. CoRR (2021)
James Bailey, Michael E. Houle, Xingjun Ma
Relationships Between Local Intrinsic Dimensionality and Tail Entropy. SISAP (2021)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Neural Architecture Search via Combinatorial Multi-Armed Bandit. CoRR (2021)
Yali Zhao, Rodrigo N. Calheiros, Graeme Gange, James Bailey, Richard O. Sinnott
SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. IEEE Trans. Cloud Comput. 9 (3) (2021)
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space. CoRR (2021)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Neural Architecture Search via Combinatorial Multi-Armed Bandit. IJCNN (2021)
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu
Understanding adversarial attacks on deep learning based medical image analysis systems. Pattern Recognit. 110 (2021)
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
Unlearnable Examples: Making Personal Data Unexploitable. CoRR (2021)
Namrata Srivastava, Sadia Nawaz, Joshua Newn, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, Dragan Gasevic, James Bailey
Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. LAK (2021)
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. CoRR (2021)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Dual Head Adversarial Training. IJCNN (2021)
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
Clean-Label Backdoor Attacks on Video Recognition Models. CoRR (2020)
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. ECCV (10) (2020)
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
Clean-Label Backdoor Attacks on Video Recognition Models. CVPR (2020)
Elham Naghizade, Lars Kulik, Egemen Tanin, James Bailey
Privacy- and Context-aware Release of Trajectory Data. ACM Trans. Spatial Algorithms Syst. 6 (1) (2020)
Linxi Jiang, Xingjun Ma, Zejia Weng, James Bailey, Yu-Gang Jiang
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. CoRR (2020)
Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN (2020)
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma
Exploiting patterns to explain individual predictions. Knowl. Inf. Syst. 62 (3) (2020)
Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR (2020)
Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan
Dynamic Programming for Predict+Optimise. AAAI (2020)
Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Jason M. Lodge, James Bailey, Eduardo Velloso
Using voice note-taking to promote learners' conceptual understanding. CoRR (2020)
Namrata Srivastava, Sadia Nawaz, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, James Bailey
Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. LAK (2020)
Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. CoRR (2020)
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. ICLR (2020)
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles. CoRR (2020)
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. CoRR (2020)
Paula G. de Barba, Donia Malekian, Eduardo Araujo Oliveira, James Bailey, Tracii Ryan, Gregor E. Kennedy
The importance and meaning of session behaviour in a MOOC. Comput. Educ. 146 (2020)
Tahrima Hashem, Lida Rashidi, Lars Kulik, James Bailey
PRESS: A personalised approach for mining top-k groups of objects with subspace similarity. Data Knowl. Eng. 128 (2020)
Sadia Nawaz, Namrata Srivastava, Ji Hyun Yu, Ryan S. Baker, Gregor E. Kennedy, James Bailey
Analysis of Task Difficulty Sequences in a Simulation-Based POE Environment. AIED (1) (2020)
Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize. CoRR (2020)
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
Normalized Loss Functions for Deep Learning with Noisy Labels. CoRR (2020)
Sadia Nawaz, Gregor E. Kennedy, James Bailey, Chris Mead
Moments of Confusion in Simulation-Based Learning Environments. J. Learn. Anal. 7 (3) (2020)
Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, James Bailey, Stephen J. O'Leary
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. AIED (1) (2020)
Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu
Improving Adversarial Robustness Requires Revisiting Misclassified Examples. ICLR (2020)
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. CVPR (2020)
Donia Malekian, James Bailey, Gregor E. Kennedy
Prediction of students' assessment readiness in online learning environments: the sequence matters. LAK (2020)
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
Normalized Loss Functions for Deep Learning with Noisy Labels. ICML (2020)
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang
Black-box Adversarial Attacks on Video Recognition Models. ACM Multimedia (2019)
Yali Zhao, Rodrigo N. Calheiros, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott
Profit Maximization and Time Minimization Admission Control and Resource Scheduling for Cloud-Based Big Data Analytics-as-a-Service Platforms. ICWS (2019)
Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR (2019)
Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey
SynthNet: Learning to Synthesize Music End-to-End. IJCAI (2019)
Myles Davaris, Sudanthi N. R. Wijewickrema, Yun Zhou, Patorn Piromchai, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary
The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training. AIED (1) (2019)
Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
Online cluster validity indices for performance monitoring of streaming data clustering. Int. J. Intell. Syst. 34 (4) (2019)
Namrata Srivastava, Eduardo Velloso, Jason M. Lodge, Sarah M. Erfani, James Bailey
Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. CHI (2019)
Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu
On the Convergence and Robustness of Adversarial Training. ICML (2019)
Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang
Black-box Adversarial Attacks on Video Recognition Models. CoRR (2019)
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns
An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR (2019)
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
Symmetric Cross Entropy for Robust Learning With Noisy Labels. ICCV (2019)
Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. SISAP (2019)
Donia Malekian, James Bailey, Gregor E. Kennedy, Paula G. de Barba, Sadia Nawaz
Characterising Students' Writing Processes Using Temporal Keystroke Analysis. EDM (2019)
Sukarna Barua, Sarah Monazam Erfani, James Bailey
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs. CoRR (2019)
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems. CoRR (2019)
Yomna Abdelrahman, Anam Ahmad Khan, Joshua Newn, Eduardo Velloso, Sherine Ashraf Safwat, James Bailey, Andreas Bulling, Frank Vetere, Albrecht Schmidt
Classifying Attention Types with Thermal Imaging and Eye Tracking. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (3) (2019)
Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle
Improving the Quality of Explanations with Local Embedding Perturbations. KDD (2019)
Yali Zhao, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott
Profit Optimization for Splitting and Sampling Based Resource Management in Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. eScience (2019)
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey
Symmetric Cross Entropy for Robust Learning with Noisy Labels. CoRR (2019)
Somayeh Naderivesal, Lars Kulik, James Bailey
An effective and versatile distance measure for spatiotemporal trajectories. Data Min. Knowl. Discov. 33 (3) (2019)
Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI (2019)

James Bailey.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

James Bailey