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Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:  Bin Yang;  Yaguo Lei;  Xiang Li;  Naipeng Li;  Asoke K. Nandi
Adobe PDF(18822Kb)  |  收藏  |  浏览/下载:14/4  |  提交时间:2024/03/18
Deep transfer learning  domain adaptation  incorrect label annotation  intelligent fault diagnosis  rotating machines  
Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 708-722
作者:  Hongmin Liu;  Qi Zhang;  Yufan Hu;  Hui Zeng;  Bin Fan
Adobe PDF(59664Kb)  |  收藏  |  浏览/下载:31/11  |  提交时间:2024/02/19
Multi-expert learning  underwater image enhancement  unsupervised learning  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:6/1  |  提交时间:2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto;  Hongtian Chen;  Kirubakaran Velswamy;  Fadi Ibrahim;  Biao Huang
Adobe PDF(1275Kb)  |  收藏  |  浏览/下载:34/12  |  提交时间:2024/01/23
Process control  process systems engineering  reinforcement learning  
Squeezing More Past Knowledge for Online Class-Incremental Continual Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 722-736
作者:  Da Yu;  Mingyi Zhang;  Mantian Li;  Fusheng Zha;  Junge Zhang;  Lining Sun;  Kaiqi Huang
Adobe PDF(7599Kb)  |  收藏  |  浏览/下载:222/92  |  提交时间:2023/03/02
Catastrophic forgetting  class-incremental learning  continual learning (CL)  experience replay  
Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1105-1121
作者:  Yue Zhou;  Xin Luo;  MengChu Zhou
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载:115/59  |  提交时间:2023/04/26
Big data analysis.  cryptocurrency transaction network embedding (CTNE)  dynamic network  network embedding  network representation  static network  
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:  Hongyi Lin;  Yang Liu;  Shen Li;  Xiaobo Qu
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载:93/56  |  提交时间:2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
Axial Assembled Correspondence Network for Few-Shot Semantic Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 711-721
作者:  Yu Liu;  Bin Jiang;  Jiaming Xu
Adobe PDF(3290Kb)  |  收藏  |  浏览/下载:147/34  |  提交时间:2023/03/02
Artificial intelligence  computer vision  deep convolutional neural network  few-shot semantic segmentation  
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
作者:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
Adobe PDF(2887Kb)  |  收藏  |  浏览/下载:455/333  |  提交时间:2023/01/03
Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement  
Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者:  Xiaoyu Jiang;  Xiangyin Kong;  Zhiqiang Ge
Adobe PDF(25936Kb)  |  收藏  |  浏览/下载:103/33  |  提交时间:2023/05/29
Curse of dimensionality  data augmentation  data-driven modeling  industrial processes  machine learning