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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：196/59  |  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：165/47  |  提交时间：2021/02/22
Electroencephalogram (EEG)  dementia early detection  mild cognitive impairment (MCI)  stationary wavelet transformation (SWT)  support vector machine (SVM).  
Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 427-436
作者:  Simone Hantke;  Tobias Olenyi;  Christoph Hausner;  Tobias Appel;  Björn Schuller
浏览  |  Adobe PDF(1345Kb)  |  收藏  |  浏览/下载：116/42  |  提交时间：2021/02/22
Human computation  speech analysis  crowdsourcing  gamified data collection  survey.  
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：282/65  |  提交时间：2020/06/20
Speech emotion recognition  the ladder network  semi-supervised learning  autoencoder  regularization  
User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals 期刊论文
JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2019, 卷号: 63, 期号: 6, 页码: 1-11
作者:  Niu, Yunfang;  Wang, Danli;  Wang, Ziwei;  Sun, Fan;  Yue, Kang;  Zheng, Nan
Adobe PDF(1371Kb)  |  收藏  |  浏览/下载：262/2  |  提交时间：2020/03/30
Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution 期刊论文
NATIONAL SCIENCE REVIEW, 2019, 卷号: 6, 期号: 5, 页码: 982-992
作者:  Wang, Hao;  Zhu, Qingyuan;  Ding, Lufeng;  Shen, Yan;  Yang, Chao-Yu;  Xu, Fang;  Shu, Chang;  Guo, Yujie;  Xiong, Zhiwei;  Shan, Qinghong;  Jia, Fan;  Su, Peng;  Yang, Qian-Ru;  Li, Bing;  Cheng, Yuxiao;  He, Xiaobin;  Chen, Xi;  Wu, Feng;  Zhou, Jiang-Ning;  Xu, Fuqiang;  Han, Hua;  Lau, Pak-Ming;  Bi, Guo-Qiang
浏览  |  Adobe PDF(25368Kb)  |  收藏  |  浏览/下载：444/71  |  提交时间：2020/03/30
fluorescence microscopy  brain mapping  tissue clearing  immunostaining  activity trace mapping  
An effective approach for emotion detection in multimedia text data using sequence based convolutional neural network 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 20, 页码: 29607-29639
作者:  Shrivastava, Kush;  Kumar, Shishir;  Jain, Deepak Kumar
收藏  |  浏览/下载：210/0  |  提交时间：2019/12/16
Multimedia data  Emotion detection  Deep learning  Convolutional neural network  Deep neural network  
A survey on big data-driven digital phenotyping of mental health 期刊论文
INFORMATION FUSION, 2019, 卷号: 52, 页码: 290-307
作者:  Liang, Yunji;  Zheng, Xiaolong;  Zeng, Daniel D.
收藏  |  浏览/下载：303/0  |  提交时间：2019/12/16
Digital phenotyping  Big data  Mental health  Data mining  Information fusion  
A topic enhanced approach to detecting multiple standpoints in web texts 期刊论文
INFORMATION SCIENCES, 2019, 卷号: 501, 页码: 483-494
作者:  Lin, Junjie;  Kong, Qingchao;  Mao, Wenji;  Wang, Lei
浏览  |  Adobe PDF(1004Kb)  |  收藏  |  浏览/下载：342/94  |  提交时间：2019/10/08
Multiple standpoint detection  Topic model  Topic enhanced approach  Adaptive parameter determination  
Activation-based association profiles differentiate network roles across cognitive loads 期刊论文
HUMAN BRAIN MAPPING, 2019, 卷号: 40, 期号: 9, 页码: 2800-2812
作者:  Zuo, Nianming;  Salami, Alireza;  Yang, Yihong;  Yang, Zhengyi;  Sui, Jing;  Jian, Tianzi
浏览  |  Adobe PDF(2320Kb)  |  收藏  |  浏览/下载：470/104  |  提交时间：2019/07/12
association  cognitive performance  functional activation  functional magnetic resonance imaging (fMRI)  working memory