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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：186/56  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Attention-based Convolutional Approach for Misinformation Identification from Massive and Noisy Microblog Posts 期刊论文
computers & security, 2019, 期号: 83, 页码: 106-121
作者:  Yu, Feng;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(1601Kb)  |  收藏  |  浏览/下载：250/98  |  提交时间：2020/06/08
information security  social network  misinformation identification  early detection  convolutional neural network  
Coordinated Control of Underwater Biomimetic Vehicle-Manipulator System for Free Floating Autonomous Manipulation 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Shuo;  Wang, Yu;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(2380Kb)  |  收藏  |  浏览/下载：291/71  |  提交时间：2020/05/07
Adaptive Tracking Differentiator (Atd)  Nonsingular Terminal Sliding-mode Control (Ntsmc)  Underwater Autonomous Manipulation  Vehicle–manipulator Coordinated Contron  
Effective Image Retrieval via Multilinear Multi-Index Fusion 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2878-2890
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tian, Qi
浏览  |  Adobe PDF(1024Kb)  |  收藏  |  浏览/下载：407/101  |  提交时间：2020/03/30
Visualization  Image representation  Optimization  Buildings  Indexing  Image retrieval  multi-index fusion  tensor multi-rank  person re-identification  
Deep imitator: handwriting calligraphy imitation via deep attention networks 期刊论文
Pattern Recogniton, 2019, 期号: 已接收, 页码: 已接收
作者:  Zhao, Bocheng;  Tao, Jianhua;  Yang, Minghao;  Tian, Zhengkun;  Fan, Cunhang;  Bai, Ye
浏览  |  Adobe PDF(2498Kb)  |  收藏  |  浏览/下载：441/169  |  提交时间：2020/01/05
calligraphy imitation, attention, mata-style matrix, condition Gated Recurrent Unit  
Improving short-text representation in convolutional networks by dependency parsing 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 卷号: 61, 期号: 1, 页码: 463-484
作者:  Zhang, Siheng;  Zhang, Wensheng;  Niu, Jinghao
浏览  |  Adobe PDF(1426Kb)  |  收藏  |  浏览/下载：287/75  |  提交时间：2019/12/16
Convolutional neural network  Dependency parsing  Question answering system  Question classification  Semantic equivalence  
Adaptive Attention Annotation Model: Optimizing the Prediction Path through Dependency Fusion 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 卷号: 13, 期号: 9, 页码: 4665-4683
作者:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Zheng, Yang;  Li, Xiaoqian;  Liang, Wei;  Li, Yuejun
浏览  |  Adobe PDF(1061Kb)  |  收藏  |  浏览/下载：392/59  |  提交时间：2019/10/08
image annotation  multiple dependencies  self-attention  prediction path  Triplet Margin loss  
Inductive Zero-Shot Image Annotation via Embedding Graph 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 107816-107830
作者:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Li, Yuejun;  Yuan, Fei
浏览  |  Adobe PDF(1472Kb)  |  收藏  |  浏览/下载：339/86  |  提交时间：2019/10/08
Contextualized word embeddings  graph convolutional network  image annotation  Node2Vec  zero-shot  
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：334/92  |  提交时间：2019/10/08
Multiple standpoint detection  Topic model  Topic enhanced approach  Adaptive parameter determination  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：332/28  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction