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A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：182/55  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
An Integrated MCI Detection Framework Based on Spectral-temporal Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 786-799
作者:  Jiao Yin;  Jinli Cao;  Siuly Siuly;  Hua Wang
浏览  |  Adobe PDF(2203Kb)  |  收藏  |  浏览/下载：157/45  |  提交时间：2021/02/22
Electroencephalogram (EEG)  dementia early detection  mild cognitive impairment (MCI)  stationary wavelet transformation (SWT)  support vector machine (SVM).  
Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 563-574
作者:  Ao-Xue Li;  Ke-Xin Zhang;  Li-Wei Wang
浏览  |  Adobe PDF(1089Kb)  |  收藏  |  浏览/下载：180/54  |  提交时间：2021/02/22
Fine-grained image classification  zero-shot learning  deep feature learning  domain adaptation  semantic graph.  
Deep Learning Based Single Image Super-resolution: A Survey 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426
作者:  Viet Khanh Ha;  Jin-Chang Ren;  Xin-Ying Xu;  Sophia Zhao;  Gang Xie;  Valentin Masero;  Amir Hussain
浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载：121/31  |  提交时间：2021/02/22
Image super-resolution  convolutional neural network  high-resolution image  low-resolution image  deep learning.  
Function Projective Lag Synchronization of Chaotic Systems with Certain Parameters via Adaptive-impulsive Control 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 238-247
作者:  Xiu-Li Chai;  Zhi-Hua Gan
浏览  |  Adobe PDF(2522Kb)  |  收藏  |  浏览/下载：87/37  |  提交时间：2021/02/22
Function projective lag synchronization (FPLS)  adaptive-impulsive  chaotic systems  numerical simulation  Lyapunov stability theory.  
Semi-supervised Ladder Networks for Speech Emotion Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 437-448
作者:  Tao, Jianhua;  Huang, Jian;  Li, Ya;  Lian, Zheng;  Niu, Mingyue
浏览  |  Adobe PDF(1025Kb)  |  收藏  |  浏览/下载：274/62  |  提交时间：2020/06/20
Speech emotion recognition  the ladder network  semi-supervised learning  autoencoder  regularization