James Bailey - Concepedia

Author

James Bailey

The University of Melbourne ORCID

Also Known As

,, Andy Luse, Bailey James, Bailey, James, Chawla, Sanjay, J Bailey, J. BAILEY, J. Bailey, Jaden Bailey, James A Bailey

417

Publications

14.3K

Citations

H-Index

279

Concepts

All Affiliations

The University of Melbourne Data61 Simon Fraser University Monash University

About

James Bailey is an author at The University of Melbourne specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	44	114	10.7K
2	Business	10	11	285
3	Education	9	9	412
4	Health Sciences	6	6	612
5	Arts	2	2	94

James Bailey

157

Publications

12.2K

Citations

H-Index

Page 1

	Year	Citations
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance Nguyễn Xuân Vinh, Julien Epps, James Bailey Journal of Machine Learning Research Cluster ComputingEngineeringSimilarity MeasureStatistical FoundationInformation Retrieval	2010	1.9K
Information theoretic measures for clusterings comparison Nguyễn Xuân Vinh, Julien Epps, James Bailey Cluster ComputingInformation TheoreticEngineeringSimilarity MeasureHypergeometric Model	2009	903
Symmetric Cross Entropy for Robust Learning With Noisy Labels Yisen Wang, Xingjun Ma, Zaiyi Chen, Data AugmentationEngineeringMachine LearningData ScienceFeature Learning	2019	894
Understanding adversarial attacks on deep learning based medical image analysis systems Xingjun Ma, Yuhao Niu, Lin Gu, Pattern Recognition Convolutional Neural NetworkImage AnalysisMachine LearningMedical ImagingDeep Learning	2020	513
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma, Bo Li, Yisen Wang, Own your potential (DEAKIN) Local Intrinsic DimensionalityDeep Neural NetworksEngineeringMachine LearningData Science	2018	401
Iterative Learning with Open-set Noisy Labels Yisen Wang, Weiyang Liu, Xingjun Ma, Few-shot LearningData AugmentationSiamese NetworkEngineeringMachine Learning	2018	313
Improving Adversarial Robustness Requires Revisiting Misclassified Examples Yisen Wang, Difan Zou, Jinfeng Yi, International Conference on Learning Representations Artificial IntelligenceData AugmentationDeepfake DetectionMachine LearningData Science	2020	299
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao, Xingjun Ma, Xiang Zheng, Convolutional Neural NetworkEngineeringMachine LearningInformation ForensicsClean-label Backdoor Attacks	2020	220
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles Ranjie Duan, Xingjun Ma, Yisen Wang,	2020	217
Identifying At-Risk Students in Massive Open Online Courses Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Proceedings of the AAAI Conference on Artificial Intelligence E-learningEngineeringMachine LearningEducationOnline Learning	2015	208

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