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Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：431/76  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2021, 页码: 10
作者:  Guo, Ge;  Yuan, Wei;  Liu, Jinyuan;  Lv, Yisheng;  Liu, Wei
收藏  |  浏览/下载：153/0  |  提交时间：2022/01/27
Correlation  Spatiotemporal phenomena  Forecasting  Data models  Deep learning  Convolution  Predictive models  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：339/66  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Robust Kernelized Multiview Self-Representation for Subspace Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 868-881
作者:  Xie, Yuan;  Liu, Jinyan;  Qu, Yanyun;  Tao, Dacheng;  Zhang, Wensheng;  Dai, Longquan;  Ma, Lizhuang
收藏  |  浏览/下载：244/0  |  提交时间：2021/03/29
Tensile stress  Kernel  Manifolds  Optimization  Learning systems  Correlation  Data models  Kernelization  multiview subspace learning  nonlinear subspace clustering  tensor singular value decomposition (t-SVD)