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Author search results
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- James Bailey — disambiguation page
- James Bailey 0001
University of Melbourne, School of Computing and Information Systems, Australia - James Bailey 0002
Huawei Technologies, Toronto, Canada
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Publication search results
found 520 matches
- 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: 1159-1168 - 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) - 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) - 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) - James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel:
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models. CoRR abs/2401.10759 (2024) - Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Unlearnable Examples For Time Series. CoRR abs/2402.02028 (2024) - 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) - 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) - 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: 102245 (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): 2805-2861 (2023) - 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) - Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou:
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 6 (2023) - James P. Bailey:
On the dimension of the set of yolk centers. Oper. Res. Lett. 51(6): 717-722 (2023) - 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) - 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 - Guanli Liu, Jianzhong Qi, Christian S. Jensen, James Bailey, Lars Kulik:
Efficiently Learning Spatial Indices. ICDE 2023: 1572-1584 - Masoumeh Rahimi, Lauren E. Margulieux, James Prather, Gozde Cetin Uzun, Bailey Kimmel:
Benefits of Failure on Neuroplasticity and Tools for Persistence. ICER (2) 2023: 5-6 - Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. ICLR 2023 - Brent N. Reeves, Sami Sarsa, James Prather, Paul Denny, Brett A. Becker, Arto Hellas, Bailey Kimmel, Garrett B. Powell, Juho Leinonen:
Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations. ITiCSE (1) 2023: 299-305 - 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 - Tingru Cui, Sharon Li, Kaiping Chen, James Bailey, Feng Liu:
Designing Fair AI Systems: Exploring the Interaction of Explainable AI and Task Objectivity on Users' Fairness Perception. PACIS 2023: 161 - 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 - Bailey Rester, James V. Lambers:
Convergence Analysis of a Krylov Subspace Spectral Method for the 1-D Wave Equation in an Inhomogeneous Medium. CoRR abs/2301.08316 (2023) - Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. CoRR abs/2301.10908 (2023) - Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.:
PaLM 2 Technical Report. CoRR abs/2305.10403 (2023) - Bailey Rester, James V. Lambers, Pedro M. Jordan:
Acoustic singular surfaces in an exponential class of inhomogeneous gases: A new numerical approach based on Krylov subspace spectral methodologies. CoRR abs/2306.04611 (2023) - Ross Gruetzemacher, Alan Chan, Kevin Frazier, Christy Manning, Stepán Los, James Fox, José Hernández-Orallo, John Burden, Matija Franklin, Clíodhna Ní Ghuidhir, Mark M. Bailey, Daniel Eth, Toby Pilditch, Kyle A. Kilian:
An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI. CoRR abs/2310.14455 (2023) - Wenjun Zhou, Artem Polyvyanyy, James Bailey:
PELP: Pioneer Event Log Prediction Using Sequence-to-Sequence Neural Networks. CoRR abs/2312.09741 (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 abs/2312.11714 (2023) - 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): 233-262 (2022)
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