Advanced Topics in Mobile Communications (AToMIC) 2018: Difference between revisions

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* 24 January 2019
* 24 January 2019
**'''Deep Learning Based Human Activity Recognition'''
**'''Deep Learning Based Human Activity Recognition'''
***Liangying Peng, Ling Chen, Zhenan Ye and Yi Zhang, [https://dl.acm.org/citation.cfm?id=3214277 AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors], ubicomp 2018.  ('''Presented by Yachao Shao''')  
***Liangying Peng, Ling Chen, Zhenan Ye and Yi Zhang, [https://dl.acm.org/citation.cfm?id=3214277 AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors], ACM UbiComp 2018.  ('''Presented by Yachao Shao''')  
***Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu su and Tarek Abdelzaher, [https://dl.acm.org/citation.cfm?id=3264954 SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework], ubicomp 2018.  ('''Presented by Tasnia Ashrafi Heya''')  
***Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu su and Tarek Abdelzaher, [https://dl.acm.org/citation.cfm?id=3264954 SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework], ACM UbiComp 2018.  ('''Presented by Tasnia Ashrafi Heya''')  
***Abhinav Mehrotra and Mirco Musolesi, [https://dl.acm.org/citation.cfm?id=3264937 Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States], ubicomp 2018.  ('''Presented by Shichang Ding''')  
***Abhinav Mehrotra and Mirco Musolesi, [https://dl.acm.org/citation.cfm?id=3264937 Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States], ACM UbiComp 2018.  ('''Presented by Shichang Ding''')  




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