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非平衡概念漂移数据流主动学习方法 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 3, 页码: 589-606
Authors:  李艳红;  王甜甜;  王素格;  李德玉
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数据流分类  主动学习  概念漂移  多类不平衡  
基于混合数据增强的MSWI过程燃烧状态识别 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 3, 页码: 560-575
Authors:  郭海涛;  汤健;  丁海旭;  乔俊飞
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城市固废焚烧  深度卷积生成对抗网络  燃烧状态识别  非生成式数据增强  混合数据增强  
Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105
Authors:  MengChu Zhou;  Meiji Cui;  Dian Xu;  Shuwei Zhu;  Ziyan Zhao;  Abdullah Abusorrah
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Evolutionary algorithm (EA)  high-dimensional expensive problems (HEPs)  industrial applications  surrogate-assisted optimization  
Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A 期刊论文
THROMBOSIS RESEARCH, 2023, 卷号: 232, 页码: 43-53
Authors:  Ai, Di;  Cui, Chang;  Tang, Yongqiang;  Wang, Yan;  Zhang, Ningning;  Zhang, Chenyang;  Zhen, Yingzi;  Li, Gang;  Huang, Kun;  Liu, Guoqing;  Chen, Zhenping;  Zhang, Wensheng;  Wu, Runhui
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Haemophilia  Children  Machine learning  Bleeding predictive modelling  Physical activity  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
Authors:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
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Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
基于有限标注数据的图像识别方法研究 学位论文
, 2023
Authors:  马成丞
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图像识别  深度学习  半监督学习  小样本学习  
PEAN: 3D Hand Pose Estimation Adversarial Network 会议论文
, Milan, Italy, 2021-1
Authors:  Linhui Sun;  Yifan Zhang;  Jian Cheng;  Hanqing Lu
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深度神经网络在噪声标签下的学习行为研究 学位论文
, 2023
Authors:  罗曜儒
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深度神经网络  噪声标签  鲁棒性  小损失假说  元结构  
Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169
Authors:  Rui Wang;  Zhiming Zhou;  Kaiwen Li;  Tao Zhang;  Ling Wang;  Xin Xu;  Xiangke Liao
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Branch-and-bound (B&B)  combinatorial optimization  deep learning  graph neural network  imitation learning  
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4616-4629
Authors:  Ma, Chengcheng;  Liu, Yang;  Deng, Jiankang;  Xie, Lingxi;  Dong, Weiming;  Xu, Changsheng
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Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection