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ORCIDJames Bailey 0001
Person information
- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
Other persons with the same name
- James Bailey — disambiguation page
- James Bailey 0002
![[0000-0002-7445-2232]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7445-2232")
— Huawei Technologies, Toronto, Canada (and 1 more)
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2020 – today
- 2024
[j71]Xingjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng, James Bailey, Yu-Gang Jiang:
Imbalanced gradients: a subtle cause of overestimated adversarial robustness. Mach. Learn. 113(5): 2301-2326 (2024)- [j70]Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic:
Finding core labels for maximizing generalization of graph neural networks. Neural Networks 180: 106635 (2024) - [c198]Miguel Ortiz del Castillo, Jonathan Morgan, Jack McRobbie, Clint Therakam, Zaher Joukhadar, Robert Mearns, Simon Barraclough, Richard O. Sinnott, Andrew Woods, Chris Bayliss, Kris Ehinger, Benjamin I. P. Rubinstein, James Bailey, Airlie Chapman, Michele Trenti:
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT. CVPR Workshops 2024: 6789-6798 - [c197]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition. CVPR 2024: 18761-18770 - [c196]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: 1159-1168 - [c195]Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey:
LDReg: Local Dimensionality Regularized Self-Supervised Learning. ICLR 2024 - [c194]Jinhao Li, Haopeng Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu:
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models. ICML 2024 - [c193]Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey:
Time Series Representation Learning with Supervised Contrastive Temporal Transformer. IJCNN 2024: 1-8 - [c192]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Unlearnable Examples for Time Series. PAKDD (6) 2024: 213-225 - [c191]Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey:
Training Sparse Graph Neural Networks via Pruning and Sprouting. SDM 2024: 136-144 - [c190]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. SDM 2024: 325-333 - [c189]Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Milos Radovanovic, Arthur Zimek:
Dimensionality-Aware Outlier Detection. SDM 2024: 652-660 - [i59]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, Yige Li, James Bailey:
End-to-End Anti-Backdoor Learning on Images and Time Series. CoRR abs/2401.03215 (2024) - [i58]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 abs/2401.05453 (2024) - [i57]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 abs/2401.10474 (2024) - [i56]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Unlearnable Examples For Time Series. CoRR abs/2402.02028 (2024) - [i55]Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey:
Time Series Representation Learning with Supervised Contrastive Temporal Transformer. CoRR abs/2403.10787 (2024) - [i54]Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Henry Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang:
Whose Side Are You On? Investigating the Political Stance of Large Language Models. CoRR abs/2403.13840 (2024) - [i53]Miguel Ortiz del Castillo, Jonathan Morgan, Jack McRobbie, Clint Therakam, Zaher Joukhadar, Robert Mearns, Simon Barraclough, Richard O. Sinnott, Andrew Woods, Chris Bayliss, Kris Ehinger, Benjamin I. P. Rubinstein, James Bailey, Airlie Chapman, Michele Trenti:
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT. CoRR abs/2404.08399 (2024) - [i52]Yuansan Liu, Jeygopi Panisilvam, Peter Dower, Sejeong Kim, James Bailey:
Bidirectional Adversarial Autoencoders for the design of Plasmonic Metasurfaces. CoRR abs/2405.04056 (2024) - [i51]Yuansan Liu, Sudanthi N. R. Wijewickrema, Dongting Hu, Christofer Bester, Stephen J. O'Leary, James Bailey:
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting. CoRR abs/2406.02827 (2024) - [i50]Jinhao Li, Haopeng Li, Sarah M. Erfani, Lei Feng, James Bailey, Feng Liu:
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models. CoRR abs/2406.02915 (2024) - [i49]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition. CoRR abs/2406.13327 (2024) - [i48]Kasun Amarasinghe, Farhana Choudhury, Jianzhong Qi, James Bailey:
Learned Indexes with Distribution Smoothing via Virtual Points. CoRR abs/2408.06134 (2024) - 2023
- [j69]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: 102245 (2023) - [j68]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): 2805-2861 (2023) - [j67]Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks 168: 539-548 (2023) - [j66]Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8(4): 583-595 (2023) - [c188]Vincent Barbosa Vaz, James Bailey, Christopher Leckie, Peter J. Stuckey:
Predict-Then-Optimise Strategies for Water Flow Control (Short Paper). CP 2023: 42:1-42:10 - [c187]Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, Lars Kulik:
Efficiently Learning Spatial Indices. ICDE 2023: 1572-1584 - [c186]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. ICLR 2023 - [c185]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: 5853-5854 - [c184]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Backdoor Attacks on Time Series: A Generative Approach. SaTML 2023: 392-403 - [c183]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. WACV 2023: 6027-6036 - [i47]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. CoRR abs/2301.10908 (2023) - [i46]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 abs/2312.11714 (2023) - 2022
- [j65]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): 233-262 (2022) - [j64]James Bailey, Michael E. Houle, Xingjun Ma:
Local Intrinsic Dimensionality, Entropy and Statistical Divergences. Entropy 24(9): 1220 (2022) - [j63]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: 26:1-26:47 (2022) - [c182]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: 3749-3757 - [c181]Yuansan Liu, James Bailey:
De Novo Molecular Generation with Stacked Adversarial Model. AI 2022: 143-154 - [c180]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: 164:1-164:15 - [c179]Anam Ahmad Khan, Joshua Newn, James Bailey, Eduardo Velloso:
Integrating Gaze and Speech for Enabling Implicit Interactions. CHI 2022: 349:1-349:14 - [c178]Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang:
Deep Learning for Search and Recommendation. CIKM 2022: 5171-5172 - [c177]Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu:
IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition. ECCV (25) 2022: 605-622 - [c176]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: 187-198 - [i45]Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke:
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks. CoRR abs/2206.06544 (2022) - [i44]Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu:
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition. CoRR abs/2207.12100 (2022) - [i43]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. CoRR abs/2209.10073 (2022) - [i42]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Backdoor Attacks on Time Series: A Generative Approach. CoRR abs/2211.07915 (2022) - 2021
- [j62]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: 107332 (2021) - [j61]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): 1236-1253 (2021) - [j60]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: 854-865 (2021) - [j59]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): 26:1-26:32 (2021) - [c175]Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI 2021: 706-714 - [c174]Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey:
Generating Deep Networks Explanations with Robust Attribution Alignment. ACML 2021: 753-768 - [c173]Zihan Yang, Richard O. Sinnott, Qiuhong Ke, James Bailey:
Individual Feral Cat Identification through Deep Learning. BDCAT 2021: 101-110 - [c172]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang:
Unlearnable Examples: Making Personal Data Unexploitable. ICLR 2021 - [c171]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. IJCNN 2021: 1-8 - [c170]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Dual Head Adversarial Training. IJCNN 2021: 1-8 - [c169]Mahtab Mirmomeni, Lars Kulik, James Bailey:
A Transferable Technique for Detecting and Localising Segments of Repeating Patterns in Time series. IJCNN 2021: 1-10 - [c168]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: 88-98 - [c167]Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma:
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS 2021: 5545-5559 - [c166]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: 20230-20242 - [c165]James Bailey, Michael E. Houle, Xingjun Ma:
Relationships Between Local Intrinsic Dimensionality and Tail Entropy. SISAP 2021: 186-200 - [e14]James Bailey, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021. IEEE 2021, ISBN 978-1-6654-2398-4 [contents] - [i41]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. CoRR abs/2101.00336 (2021) - [i40]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang:
Unlearnable Examples: Making Personal Data Unexploitable. CoRR abs/2101.04898 (2021) - [i39]Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma:
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions. CoRR abs/2101.06704 (2021) - [i38]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 abs/2101.06898 (2021) - [i37]Anam Ahmad Khan, Joshua Newn, Ryan Kelly, Namrata Srivastava, James Bailey, Eduardo Velloso:
GAVIN: Gaze-Assisted Voice-Based Implicit Note-taking. CoRR abs/2104.00870 (2021) - [i36]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Dual Head Adversarial Training. CoRR abs/2104.10377 (2021) - [i35]Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. CoRR abs/2108.10015 (2021) - [i34]Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma:
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. CoRR abs/2110.03825 (2021) - [i33]Yuansan Liu, James Bailey:
De Novo Molecular Generation with Stacked Adversarial Model. CoRR abs/2110.12454 (2021) - [i32]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 abs/2110.13675 (2021) - [i31]Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu:
On the Convergence and Robustness of Adversarial Training. CoRR abs/2112.08304 (2021) - 2020
- [j58]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) - [j57]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: 101833 (2020) - [j56]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma:
Exploiting patterns to explain individual predictions. Knowl. Inf. Syst. 62(3): 927-950 (2020) - [j55]Sadia Nawaz, Gregor E. Kennedy, James Bailey, Chris Mead:
Moments of Confusion in Simulation-Based Learning Environments. J. Learn. Anal. 7(3): 118-137 (2020) - [j54]Elham Naghizade, Lars Kulik, Egemen Tanin, James Bailey:
Privacy- and Context-aware Release of Trajectory Data. ACM Trans. Spatial Algorithms Syst. 6(1): 3:1-3:25 (2020) - [c164]Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. AAAI 2020: 1444-1451 - [c163]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: 296-308 - [c162]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: 423-436 - [c161]Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. CVPR 2020: 997-1005 - [c160]Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang:
Clean-Label Backdoor Attacks on Video Recognition Models. CVPR 2020: 14431-14440 - [c159]Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu:
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. ECCV (10) 2020: 182-199 - [c158]Yisen Wang, Difan Zou, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu:
Improving Adversarial Robustness Requires Revisiting Misclassified Examples. ICLR 2020 - [c157]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 - [c156]Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey:
Normalized Loss Functions for Deep Learning with Noisy Labels. ICML 2020: 6543-6553 - [c155]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: 1-7 - [c154]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: 250-259 - [c153]Donia Malekian, James Bailey, Gregor E. Kennedy:
Prediction of students' assessment readiness in online learning environments: the sequence matters. LAK 2020: 382-391 - [i30]Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma:
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets. CoRR abs/2002.05990 (2020) - [i29]Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang:
Clean-Label Backdoor Attacks on Video Recognition Models. CoRR abs/2003.03030 (2020) - [i28]Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles. CoRR abs/2003.08757 (2020) - [i27]Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey:
Normalized Loss Functions for Deep Learning with Noisy Labels. CoRR abs/2006.13554 (2020) - [i26]Linxi Jiang, Xingjun Ma, Zejia Weng, James Bailey, Yu-Gang Jiang:
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. CoRR abs/2006.13726 (2020) - [i25]Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu:
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks. CoRR abs/2007.02343 (2020) - [i24]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 abs/2007.12652 (2020) - [i23]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 abs/2012.02342 (2020) - [i22]Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Jason M. Lodge, James Bailey, Eduardo Velloso:
Using voice note-taking to promote learners' conceptual understanding. CoRR abs/2012.02927 (2020)
2010 – 2019
- 2019
- [j53]Somayeh Naderivesal, Lars Kulik, James Bailey:
An effective and versatile distance measure for spatiotemporal trajectories. Data Min. Knowl. Discov. 33(3): 577-606 (2019) - [j52]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): 541-563 (2019) - [j51]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): 69:1-69:27 (2019) - [c152]Yali Zhao, Rodrigo N. Calheiros, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott:
SLA-Aware and Deadline Constrained Profit Optimization for Cloud Resource Management in Big Data Analytics-as-a-Service Platforms. CLOUD 2019: 146-155 - [c151]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: 96-109 - [c150]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: 586 - [c149]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: 241-257 - [c148]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: 156-167 - [c147]