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基于分布式有限感知网络的多伯努利目标跟踪 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 5, 页码: 1370-1384
Authors:  吴孙勇;  王力;  李天成;  孙希延;  蔡如华
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有限感知范围  视场互补  多伯努利关联  算术平均融合  多目标跟踪  
一种改进的特征子集区分度评价准则 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 5, 页码: 1292-1306
Authors:  谢娟英;  吴肇中;  郑清泉;  王明钊
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特征子集区分度  特征选择  离散系数  极限学习机  特征搜索策略  
基于多智能体强化学习的乳腺癌致病基因预测 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 5, 页码: 1246-1258
Authors:  刘健;  顾扬;  程玉虎;  王雪松
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乳腺癌  致病基因  基因排序  多智能体强化学习  演示学习  
大数据下数模联动的随机退化设备剩余寿命预测技术 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 9, 页码: 2119-2141
Authors:  李天梅;  司小胜;  刘翔;  裴洪
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大数据  剩余寿命预测  数模联动  深度学习  随机退化建模  
A Fast Online Elastic-Spine-Based Stiffness Adjusting Mechanism for Fishlike Swimming 期刊
创刊日期: 2024, 收录类别: SCI, 出版者: SOFT ROBOTICS,
Sponsors:  Liao Xiaocun, Zhou Chao, Cheng Long, Wang Jian, Fan Junfeng, Zhang Zhuoliang
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robotic fish, elastic spine, variable stiffness, stiffness adjustment strategy  
复杂装备系统弹性度量方法研究 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 7, 页码: 1498-1507
Authors:  杨博帆;  张琳;  汪文峰;  唐冬丽;  丁尔启;  项阳
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弹性  可靠性工程  复杂系统  组件重要度  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
Authors:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
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Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
Authors:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
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Machine learning, lung cancer, radiomics, medical image, clinical application  
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 483-513
Authors:  Wei-Chien Wang;  Euijoon Ahn;  Dagan Feng;  Jinman Kim
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Self-supervised learning (SSL), contrastive learning, deep learning, medical image analysis, computer vision  
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
Authors:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
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Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data