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期刊论文 [21]
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Generalized Embedding Machines for Recommender Systems
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 571-584
作者:
Enneng Yang
;
Xin Xin
;
Li Shen
;
Yudong Luo
;
Guibing Guo
收藏
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浏览/下载:0/0
  |  
提交时间:2024/05/23
Feature interactions, high-order interaction, factorization machine (FM), recommender system, graph neural network (GNN)
Deep unfolding multi-scale regularizer network for image denoising
期刊论文
COMPUTATIONAL VISUAL MEDIA, 2023, 卷号: 9, 期号: 2, 页码: 335-350
作者:
Xu, Jingzhao
;
Yuan, Mengke
;
Yan, Dong-Ming
;
Wu, Tieru
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  |  
浏览/下载:12/0
  |  
提交时间:2023/02/22
image denoising
deep unfolding network
multi-scale regularizer
deep learning
Cuff-Less Blood Pressure Prediction Based on Photoplethysmography and Modified ResNet
期刊论文
BIOENGINEERING-BASEL, 2023, 卷号: 10, 期号: 4, 页码: 14
作者:
Qin, Caijie
;
Li, Yong
;
Liu, Chibiao
;
Ma, Xibo
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  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
blood pressure
continuous prediction
ResNet34
multi-scale feature extraction
channel attention
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:
Zebing Wei
;
Hongxia Zhao
;
Zhishuai Li
;
Xiaojie Bu
;
Yuanyuan Chen
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  |  
浏览/下载:15/0
  |  
提交时间:2023/01/03
Deep learning
graph neural network (GNN)
multi-stream
spatial-temporal feature extraction
temporal graph
traffic prediction
An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 8
作者:
Zhao, Xiaoqiang
;
Zhang, Yazhou
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  |  
浏览/下载:15/0
  |  
提交时间:2022/06/20
Convolutional neural networks
Deep learning
Failure (mechanical)
Failure analysis
Fault detection
Roller bearings
Shrinkage
Bearing fault diagnosis
Convolutional neural network
Intelligent diagnosis methods
Multi-scale residual shrinkage convolutional neural network
Multi-scales
Noise environments
Rolling bearings
Separable convolution
Variable operating condition
Vibration signal
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Luo, Guiyang
;
Zhang, Hui
;
Yuan, Quan
;
Li, Jinglin
;
Wang, Fei-Yue
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  |  
浏览/下载:17/0
  |  
提交时间:2022/07/25
Roads
Correlation
Feature extraction
Sensors
Deep learning
Convolution
Sensor phenomena and characterization
Traffic forecasting
graph convolutional network
spatial-temporal networks
Stacking More Linear Operations with Orthogonal Regularization to Learn Better
会议论文
线上会议, 2022-7
作者:
Xu WX(许伟翔)
;
Cheng J(程健)
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  |  
浏览/下载:0/0
  |  
提交时间:2023/06/21
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Jin, Junchen
;
Rong, Dingding
;
Zhang, Tong
;
Ji, Qingyuan
;
Guo, Haifeng
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  |  
浏览/下载:22/0
  |  
提交时间:2022/06/06
Roads
Predictive models
Data models
Recurrent neural networks
Generators
Computer architecture
Deep learning
Short-term link speed prediction
signalized urban networks
Wasserstein generative adversarial network
Strength of Stacking Technique of Ensemble Learning in Rockburst Prediction with Imbalanced Data: Comparison of Eight Single and Ensemble Models
期刊论文
NATURAL RESOURCES RESEARCH, 2021, 页码: 21
作者:
Yin, Xin
;
Liu, Quansheng
;
Pan, Yucong
;
Huang, Xing
;
Wu, Jian
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/05/25
Rockburst prediction
Ensemble learning
Stacking technique
Class imbalance
Outlier detection and substitution
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:
Li, Haoran
;
Zhang, Qichao
;
Zhao, Dongbin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/08/03
Robot sensing systems
Navigation
Entropy
Neural networks
Task analysis
Planning
Automatic exploration
deep reinforcement learning (DRL)
optimal decision
partial observation
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