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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.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7445-2232")
— Huawei Technologies, Toronto, Canada (and 1 more)
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2020 – today
- 2023
[j66]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)- [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 - [i46]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. CoRR abs/2301.10908 (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]Donia Malekian, James Bailey, Gregor E. Kennedy, Paula G. de Barba, Sadia Nawaz:
Characterising Students' Writing Processes Using Temporal Keystroke Analysis. EDM 2019 - [c146]Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey:
Symmetric Cross Entropy for Robust Learning With Noisy Labels. ICCV 2019: 322-330 - [c145]Yisen Wang, Xingjun Ma, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu:
On the Convergence and Robustness of Adversarial Training. ICML 2019: 6586-6595 - [c144]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: 26-47 - [c143]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: 1078-1085 - [c142]Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey:
SynthNet: Learning to Synthesize Music End-to-End. IJCAI 2019: 3367-3374 - [c141]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle:
Improving the Quality of Explanations with Local Embedding Perturbations. KDD 2019: 875-884 - [c140]Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang:
Black-box Adversarial Attacks on Video Recognition Models. ACM Multimedia 2019: 864-872 - [c139]Tahrima Hashem, Lida Rashidi, James Bailey, Lars Kulik:
Characteristics of Local Intrinsic Dimensionality (LID) in Subspaces: Local Neighbourhood Analysis. SISAP 2019: 247-264 - [e13]Jixue Liu, James Bailey:
AI 2019: Advances in Artificial Intelligence - 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2-5, 2019, Proceedings. Lecture Notes in Computer Science 11919, Springer 2019, ISBN 978-3-030-35287-5 [contents] - [i21]Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang:
Black-box Adversarial Attacks on Video Recognition Models. CoRR abs/1904.05181 (2019) - [i20]Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey:
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR abs/1905.00643 (2019) - [i19]Sukarna Barua, Sarah Monazam Erfani, James Bailey:
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs. CoRR abs/1905.02417 (2019) - [i18]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 abs/1907.10456 (2019) - [i17]Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey:
Symmetric Cross Entropy for Robust Learning with Noisy Labels. CoRR abs/1908.06112 (2019) - 2018
- [j50]Simone Romano, Xuan Vinh Nguyen, Karin Verspoor, James Bailey:
The randomized information coefficient: assessing dependencies in noisy data. Mach. Learn. 107(3): 509-549 (2018) - [c138]Mohadeseh Ganji, James Bailey, Peter J. Stuckey:
Lagrangian Constrained Community Detection. AAAI 2018: 2983-2990 - [c137]Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? AIED (1) 2018: 584-598 - [c136]Sudanthi N. R. Wijewickrema, Bridget Copson, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. CBMS 2018: 12-17 - [c135]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning With Open-Set Noisy Labels. CVPR 2018: 8688-8696 - [c134]Shuo Zhou, Sarah M. Erfani, James Bailey:
Online CP Decomposition for Sparse Tensors. ICDM 2018: 1458-1463 - [c133]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR 2018 - [c132]Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. ICML 2018: 3361-3370 - [c131]Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park:
Semi-supervised Blockmodelling with Pairwise Guidance. ECML/PKDD (2) 2018: 158-174 - [c130]Mahtab Mirmomeni, Yousef Kowsar, Lars Kulik, James Bailey:
An Automated Matrix Profile for Mining Consecutive Repeats in Time Series. PRICAI 2018: 192-200 - [c129]Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Ian Davidson:
Image Constrained Blockmodelling: A Constraint Programming Approach. SDM 2018: 19-27 - [c128]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI 2018: 83-92 - [r2]James Bailey, François Bry, Tim Furche, Sebastian Schaffert:
Semantic Web Query Languages. Encyclopedia of Database Systems (2nd ed.) 2018 - [i16]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR abs/1801.02613 (2018) - [i15]Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey:
Online Cluster Validity Indices for Streaming Data. CoRR abs/1801.02937 (2018) - [i14]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning with Open-set Noisy Labels. CoRR abs/1804.00092 (2018) - [i13]Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. CoRR abs/1806.02612 (2018) - [i12]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR abs/1807.08237 (2018) - 2017
- [j49]Florin Schimbinschi, Luís Moreira-Matias, Xuan Vinh Nguyen, James Bailey:
Topology-regularized universal vector autoregression for traffic forecasting in large urban areas. Expert Syst. Appl. 82: 301-316 (2017) - [j48]Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. Knowl. Inf. Syst. 52(1): 179-219 (2017) - [j47]Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey:
Ground truth bias in external cluster validity indices. Pattern Recognit. 65: 58-70 (2017) - [j46]