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科研机构
西安交通大学 [517]
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期刊论文 [296]
会议论文 [220]
其他 [1]
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2019 [12]
2018 [75]
2017 [39]
2016 [61]
2015 [35]
2014 [27]
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Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: 30, 页码: 683-694
作者:
Shi, Weiwei
;
Gong, Yihong
;
Tao, Xiaoyu
;
Cheng, De
;
Zheng, Nanning
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/19
Benchmark testing
Classification accuracy
Classification framework
Deep convolutional neural networks
Experimental evaluation
Fine grained
Large margins
Within-class variances
Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss
期刊论文
ENTROPY, 2019, 卷号: 21
作者:
Sun, Xia
;
Dong, Ke
;
Ma, Long
;
Sutcliffe, Richard
;
He, Feijuan
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/19
drug-drug interaction
relation extraction
cross-entropy
convolutional neural network
dilated convolutions
focal loss
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: 30, 页码: 474-485
作者:
Chang, Xiangyu
;
Zhong, Yan
;
Wang, Yao
;
Lin, Shaobo
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
Computational model
Low-rank matrices
Multivariate linear regressions
Quantile regression
Task analysis
Domain Adaption via Feature Selection on Explicit Feature Map
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: 30, 页码: 1180-1190
作者:
Deng, Wan-Yu
;
Lendasse, Amaury
;
Ong, Yew-Soon
;
Tsang, Ivor Wai-Hung
;
Chen, Lin
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2019/11/19
Adaptation models
Distribution distance
Domain adaptions
Kernel
Transfer learning
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 页码: 2116-2132
作者:
Bi, Haixia
;
Sun, Jian
;
Xu, Zongben
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/11/19
Convolutional Neural Networks (CNN)
Graph model
Image edge detection
Polarimetric synthetic aperture radars
Prediction algorithms
Semi-supervised method
Task analysis
The development of a deep neural network and its application to evaluating the interior sound quality of pure electric vehicles
期刊论文
Mechanical Systems and Signal Processing, 2019, 卷号: 120, 页码: 98-116
作者:
Huang, Hai B.
;
Wu, Jiu H.
;
Huang, Xiao R.
;
Yang, Ming L.
;
Ding, Wei P.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/11/19
Acoustic predictions
Back-propagation neural networks
Interior noise
Laplacians
Psycho-acoustic metrics
Pure electric vehicles
Sound Quality
Subjective evaluations
Flow regime identification of swirling gas-liquid flow with image processing technique and neural networks
期刊论文
CHEMICAL ENGINEERING SCIENCE, 2019, 卷号: 199, 页码: 588-601
作者:
Liu, Li
;
Bai, Bofeng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
Flow regime map
Neutral network
Swirling gas-liquid flow
Image processing
Liquid holdup
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: 30, 页码: 1150-1165
作者:
Song, Zengjie
;
Zhang, Jiangshe
;
Shi, Guang
;
Liu, Junmin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/11/19
Discriminative features
Effective learning
Image representation and classifications
Inference mechanism
Predictive coding
Predictive models
Regression mapping
Task analysis
Deep neural networks based order completion time prediction by using real-time job shop RFID data
期刊论文
Journal of Intelligent Manufacturing, 2019, 卷号: 30, 页码: 1303-1318
作者:
Wang, Chuang
;
Jiang, Pingyu
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Backpropagation network
Completion time prediction
Deep belief networks
Mapping relationships
Numerical experiments
Principal components analysis
Production capacity
Realtime processing
Integrated model of BP neural network and CNN algorithm for automatic wear debris classification
期刊论文
Wear, 2019
作者:
Wang, S.
;
Wu, T.H.
;
Shao, T.
;
Peng, Z.X.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/11/19
Back propagation neural networks
BP neural networks
Classification procedure
Convolution neural network
Identification rates
Manual classification
Morphological features
Wear debris
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