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Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文
ENERGY, 2020, 卷号: 212, 页码: 13
作者:  Li, Chengdong;  Zhou, Changgeng;  Peng, Wei;  Lv, Yisheng;  Luo, Xin
收藏  |  浏览/下载：213/0  |  提交时间：2021/03/08
PV power generation prediction  Deep fuzzy model  Double input rule module  Data driven method  Least square method  
Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer 期刊论文
CANCER IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 1-10
作者:  Wang, Xiaoxiao;  Ding, Yi;  Wang, Siwen;  Dong, Di;  Li, Hailin;  Chen, Jian;  Hu, Hui;  Lu, Chao;  Tian, Jie;  Shan, Xiuhong
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：266/36  |  提交时间：2021/01/06
Lauren classification  Radiomics  Peritumoral analysis  Gastric cancer  Computed tomography  
Gesture recognition based on deep deformable 3D convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 12
作者:  Zhang, Yifan;  Shi, Lei;  Wu, Yi;  Cheng, Ke;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(1310Kb)  |  收藏  |  浏览/下载：452/132  |  提交时间：2020/08/31
Gesture recognition  Spatiotemporal deformable convolution  Spatiotemporal convolutional neural network  
A Brain-Inspired Model of Theory of Mind 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 14, 页码: 17
作者:  Zeng, Yi;  Zhao, Yuxuan;  Zhang, Tielin;  Zhao, Dongcheng;  Zhao, Feifei;  Lu, Enmeng
Adobe PDF(2347Kb)  |  收藏  |  浏览/下载：291/53  |  提交时间：2021/01/07
theory of mind  false-belief task  brain inspired model  self-experience  connection maturation  inhibitory control  
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
浏览  |  Adobe PDF(3947Kb)  |  收藏  |  浏览/下载：209/84  |  提交时间：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 13
作者:  Zhang, Tielin;  Zeng, Yi;  Pan, Ruihan;  Shi, Mengting;  Lu, Enmeng
收藏  |  浏览/下载：165/0  |  提交时间：2020/08/21
Brain-inspired architecture  Procedural knowledge  Deep neural network  Reinforcement learning  Knowledge graph  
Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease 期刊论文
ADVANCED SCIENCE, 2020, 页码: 12
作者:  Jin, Dan;  Zhou, Bo;  Han, Ying;  Ren, Jiaji;  Han, Tong;  Liu, Bing;  Lu, Jie;  Song, Chengyuan;  Wang, Pan;  Wang, Dawei;  Xu, Jian;  Yang, Zhengyi;  Yao, Hongxiang;  Yu, Chunshui;  Zhao, Kun;  Wintermark, Max;  Zuo, Nianming;  Zhang, Xinqing;  Zhou, Yuying;  Zhang, Xi;  Jiang, Tianzi;  Wang, Qing;  Liu, Yong
收藏  |  浏览/下载：255/0  |  提交时间：2020/07/20
Alzheimer's disease  computer-aided diagnosis  neurobiological basis  neuroscientifically interpretable biomarkers  structural magnetic resonance imaging  
Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease 期刊论文
ADVANCED SCIENCE, 2020, 页码: 12
作者:  Jin, Dan;  Zhou, Bo;  Han, Ying;  Ren, Jiaji;  Han, Tong;  Liu, Bing;  Lu, Jie;  Song, Chengyuan;  Wang, Pan;  Wang, Dawei;  Xu, Jian;  Yang, Zhengyi;  Yao, Hongxiang;  Yu, Chunshui;  Zhao, Kun;  Wintermark, Max;  Zuo, Nianming;  Zhang, Xinqing;  Zhou, Yuying;  Zhang, Xi;  Jiang, Tianzi;  Wang, Qing;  Liu, Yong
收藏  |  浏览/下载：312/0  |  提交时间：2020/07/20
Alzheimer's disease  computer-aided diagnosis  neurobiological basis  neuroscientifically interpretable biomarkers  structural magnetic resonance imaging  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：362/65  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212
作者:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Ma, Lulin;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：269/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging