English | 繁體

Search in the results

UM

Browse/Search Results:  1-8 of 8 Help

Selected(0)Clear Items/Page:    Sort:
STRmt: A state transition based model for real-time crowd counting in a metro system Journal article
Sun, Li, Zhao, Juanjuan, Zhang, Jun, Zhang, Fan, Ye, Kejiang, Xu, Chengzhong. STRmt: A state transition based model for real-time crowd counting in a metro system[J]. Concurrency and Computation: Practice and Experience, 2024, 36(14), e8086.
Authors:  Sun, Li;  Zhao, Juanjuan;  Zhang, Jun;  Zhang, Fan;  Ye, Kejiang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.5/1.5 | Submit date：2024/05/16
Afc  Crowd Estimation  Gcn  Lstm  Metro System  
Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation Journal article
Lai,Qi, Vong,Chi Man, Zhou,Jianhang, Zhou,Yimin, Chen,C. L.P.. Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-12.
Authors:  Lai,Qi;  Vong,Chi Man;  Zhou,Jianhang;  Zhou,Yimin;  Chen,C. L.P.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2023/08/03
Broad Learning System (Bls)  Correlation  Deep Learning  Diverse Correlations  Electronic Mail  Graph Convolutional Network (Gcn)  Learning Systems  Multiview Multi-instance Multilabel Learning (M3l)  Object Recognition  Task Analysis  Training  Viewwise Intercorrelation  
Fuzzy Graph Subspace Convolutional Network Journal article
Zhou, Jianhang, Zhang, Qi, Zeng, Shaoning, Zhang, Bob. Fuzzy Graph Subspace Convolutional Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 35(4), 5641-5655.
Authors:  Zhou, Jianhang;  Zhang, Qi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/05/02
Fuzzy Set Theory  Graph Convolutional Network (Gcn)  Low-rank Representation (Lrr)  Subspace Learning (Sc)  
Efficient graph convolutional networks for seizure prediction using scalp EEG Journal article
Jia, Manhua, Liu, Wenjian, Duan, Junwei, Chen, Long, Chen, C. L.Philip, Wang, Qun, Zhou, Zhiguo. Efficient graph convolutional networks for seizure prediction using scalp EEG[J]. Frontiers in Neuroscience, 2022, 16, 967116.
Authors:  Jia, Manhua;  Liu, Wenjian;  Duan, Junwei;  Chen, Long;  Chen, C. L.Philip; et al.
Favorite | TC[WOS]:14 TC[Scopus]:19 | Submit date：2022/09/07
Eeg  Gcn  Geometric Deep Learning  Seizure Prediction  Wearable Devices  
Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks Journal article
Fang, Sen, Tan, You Shuai, Zhang, Tao, Xu, Zhou, Liu, Hui. Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks[J]. IEEE TRANSACTIONS ON RELIABILITY, 2021, 70(2), 563-574.
Authors:  Fang, Sen;  Tan, You Shuai;  Zhang, Tao;  Xu, Zhou;  Liu, Hui
Favorite | TC[WOS]:23 TC[Scopus]:28  IF:5.0/5.2 | Submit date：2021/12/08
Bug Report  Graph Convolutional Network (Gcn)  Priority Prediction  
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Conference paper
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu. Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction[C], IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:IEEE, 2021, 6702 - 6709.
Authors:  Jiexia Ye;  Juanjuan Zhao;  Kejiang Ye;  Chengzhong Xu
Favorite | TC[WOS]:28 TC[Scopus]:51 | Submit date：2021/09/18
Gcn  Graph Convolutional Network  Gru  Relationship  Stock Movement  Stock Price  
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Review article
2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite | TC[WOS]:150 TC[Scopus]:130  IF:7.9/8.3 | Submit date：2021/03/09
Graph Neural Networks  Gnns  Graph Convolution Network  Gcn  Graph  Deep Learning  Traffic Forecasting  Traffic Domain  Its  
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting Conference paper
Ye,Jiexia, Zhao,Juanjuan, Ye,Kejiang, Xu,Chengzhong. Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting[C], 2020.
Authors:  ; et al.
Favorite | TC[WOS]:34 TC[Scopus]:34 | Submit date：2021/03/09
Gcn  Lstm  Passenger Flow Forecasting  Spatial-temporal Forecasting