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GraphCA: Learning From Graph Counterfactual Augmentation for Knowledge Tracing 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2108-2123
作者:  Xinhua Wang;  Shasha Zhao;  Lei Guo;  Lei Zhu;  Chaoran Cui;  Liancheng Xu
Adobe PDF(1627Kb)  |  收藏  |  浏览/下载：94/41  |  提交时间：2023/09/22
Contrastive learning  counterfactual representation  graph neural network  knowledge tracing  
Disturbance Observer-Based Safe Tracking Control for Unmanned Helicopters With Partial State Constraints and Disturbances 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2056-2069
作者:  Haoxiang Ma;  Mou Chen;  Qingxian Wu
Adobe PDF(3799Kb)  |  收藏  |  浏览/下载：74/29  |  提交时间：2023/09/22
Disturbance observer  dynamic surface control  safe tracking control  safety protection algorithm  unmanned autonomous helicopter  
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1834-1844
作者:  Yanlu Gong;  Junhai Zhou;  Quanwang Wu;  MengChu Zhou;  Junhao Wen
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：94/51  |  提交时间：2023/08/10
Bi-objective optimization  feature selection (FS)  genetic algorithm  high-dimensional data  length-adaptive  
Attacks Against Cross-Chain Systems and Defense Approaches: A Contemporary Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1647-1667
作者:  Li Duan;  Yangyang Sun;  Wei Ni;  Weiping Ding;  Jiqiang Liu;  Wei Wang
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载：111/24  |  提交时间：2023/07/20
Blockchain  cross-chain  defense  distributed private key control  hash-locking  notary  security threats  sidechain/relay  
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu;  Pierre Tandeo;  Ronan Fablet;  Didier Lucor;  Bertrand Iooss;  Julien Brajard;  Dunhui Xiao;  Tijana Janjic;  Weiping Ding;  Yike Guo;  Alberto Carrassi;  Marc Bocquet;  Rossella Arcucci
Adobe PDF(17725Kb)  |  收藏  |  浏览/下载：93/29  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 页码: 1-9
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Feiyue Wang
Adobe PDF(4216Kb)  |  收藏  |  浏览/下载：199/70  |  提交时间：2023/05/19
Kernel-Based State-Space Kriging for Predictive Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1263-1275
作者:  A. Daniel Carnerero;  Daniel R. Ramirez;  Daniel Limon;  Teodoro Alamo
Adobe PDF(3997Kb)  |  收藏  |  浏览/下载：116/32  |  提交时间：2023/04/26
Data-driven methods  model identification  Kernel methods  predictive control  
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1122-1136
作者:  Tianyu Wu;  Shizhu He;  Jingping Liu;  Siqi Sun;  Kang Liu;  Qing-Long Han;  Yang Tang
Adobe PDF(4650Kb)  |  收藏  |  浏览/下载：801/660  |  提交时间：2023/04/26
AIGC  ChatGPT  GPT-3  GPT-4  human feedback  large language models  
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：532/373  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 524-546
作者:  Wentao Mao;  Gangsheng Wang;  Linlin Kou;  Xihui Liang
Adobe PDF(25706Kb)  |  收藏  |  浏览/下载：663/43  |  提交时间：2023/01/16
Anomaly detection  domain adaptation  domain-adversarial training  one-class classification  transfer learning