中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共22条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：134/54  |  提交时间：2023/09/22
Contrastive learning  counterfactual representation  graph neural network  knowledge tracing  
Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1905-1917
作者:  Tangyike Zhang;  Junxiang Zhan;  Jiamin Shi;  Jingmin Xin;  Nanning Zheng
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载：190/71  |  提交时间：2023/09/07
Autonomous vehicles  decision-making  driving behavior  human-like driving  
AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1871-1881
作者:  Yuanqi Qin;  Wen Hua;  Junchen Jin;  Jun Ge;  Xingyuan Dai;  Lingxi Li;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(3244Kb)  |  收藏  |  浏览/下载：125/27  |  提交时间：2023/08/10
Conditional generative adversarial network  signalized urban networks  short-term link speed prediction  
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：132/64  |  提交时间：2023/08/10
Bi-objective optimization  feature selection (FS)  genetic algorithm  high-dimensional data  length-adaptive  
RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1640-1642
作者:  Qiwu Zhu;  Qingyu Xiong;  Zhengyi Yang;  Yang Yu
Adobe PDF(438Kb)  |  收藏  |  浏览/下载：176/40  |  提交时间：2023/06/14
Local-to-Global Causal Reasoning for Cross-Document Relation Extraction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1608-1621
作者:  Haoran Wu;  Xiuyi Chen;  Zefa Hu;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(2465Kb)  |  收藏  |  浏览/下载：157/50  |  提交时间：2023/06/14
Causal reasoning  cross document  graph reasoning  relation extraction (RE)  
Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1513-1529
作者:  Aditya Joshi;  Skieler Capezza;  Ahmad Alhaji;  Mo-Yuen Chow
Adobe PDF(4919Kb)  |  收藏  |  浏览/下载：205/89  |  提交时间：2023/06/14
Consensus  energy management system (EMS)  reinforcement learning  supervised learning  
Recurrent ConFormer for WiFi Activity Recognition 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1491-1493
作者:  Miao Shang;  Xiaopeng Hong
Adobe PDF(1018Kb)  |  收藏  |  浏览/下载：69/27  |  提交时间：2023/05/29
Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Fanghui Bi;  Xin Luo;  Bo Shen;  Hongli Dong;  Zidong Wang
Adobe PDF(2741Kb)  |  收藏  |  浏览/下载：169/63  |  提交时间：2023/05/29
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis (NLFA)  proximal alternating direction method of multipliers  representation learning  
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：131/35  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)