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Bilinear neural network with 3-D attention for brain decoding of motor imagery movements from the human EEG 期刊论文
Cognitive Neurodynamics, 2020, 卷号: vol. 15, 页码: 181–189
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Hou, Zeng-Guang;  Ni, Zhen-Liang;  Chen, Sheng;  Fang, Zhijie
Adobe PDF(1039Kb)  |  收藏  |  浏览/下载：90/31  |  提交时间：2023/06/02
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：304/57  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability  
A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: PP, 期号: 99, 页码: 1-13
作者:  Xiaohu,Zhou;  Xiaoliang.Xie;  Zhenqiu,Feng;  Zengguang,Hou;  Guibin,Bian;  Ruiqi,Li;  Zhenliang,Ni;  Shiqi,Liu;  Yan-Jie Zhou
浏览  |  Adobe PDF(2286Kb)  |  收藏  |  浏览/下载：308/61  |  提交时间：2020/11/05
Endovascular manipulations  multilayer and multimodal-fusion architecture (MMFA)  percutaneous coronary intervention (PCI),  technical skill assessment  
Inverse reinforcement learning-based time-dependent A* planner for human-aware robot navigation with local vision 期刊论文
ADVANCED ROBOTICS, 2020, 页码: 14
作者:  Sun Shiying;  Zhao Xiaoguang;  Li Qianzhong;  Tan Min
Adobe PDF(3726Kb)  |  收藏  |  浏览/下载：311/52  |  提交时间：2020/06/02
Human-aware navigation  inverse reinforcement learning  path planning  service robot  
Design and Tension Modeling of a Novel Cable-Driven Rigid Snake-Like Manipulator 期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 卷号: 99, 期号: 2, 页码: 211-228
作者:  Xu, Dawei;  Li, En;  Liang, Zize;  Gao, Zishu
Adobe PDF(5913Kb)  |  收藏  |  浏览/下载：369/63  |  提交时间：2020/03/30
Snake-like manipulator  Cable-driven  Kinematics  Tension model  Neural network  Reinforcement learning