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Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges 期刊论文
AI Open, 2020, 卷号: 1, 期号: 1, 页码: 22-39
作者:  Kang Liu;  Yubo Chen;  Jian Liu;  Xinyu Zuo;  Jun Zhao
Adobe PDF(1821Kb)  |  收藏  |  浏览/下载：202/43  |  提交时间：2021/06/21
Event extraction  Event relation extraction  Knowledge graph  
Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks 期刊论文
SN Computer Science, 2020, 期号: 1, 页码: 1
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(2337Kb)  |  收藏  |  浏览/下载：146/47  |  提交时间：2021/03/30
Online handwritten document  stroke classification  graph attention networks  structured prediction  
A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 790-799
作者:  Hao Zhang;  Yongdan Li;  Zhihan Lv;  Arun Kumar Sangaiah;  Tao Huang
浏览  |  Adobe PDF(3055Kb)  |  收藏  |  浏览/下载：215/51  |  提交时间：2021/03/11
Deep belief network (DBN)  flow calculation  frequent pattern  intrusion detection  sliding window  support vector machine (SVM)  
Deep Learning and Time Series-to-Image Encoding for Financial Forecasting 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 683-693
作者:  Silvio Barra;  Salvatore Mario Carta;  Andrea Corriga;  Alessandro Sebastian Podda;  Diego Reforgiato Recupero
浏览  |  Adobe PDF(6935Kb)  |  收藏  |  浏览/下载：195/54  |  提交时间：2021/03/11
Convolutional neural networks (CNNs)  ensemble of CNNs  financial forecasting  Gramian angular fields (GAF) imaging  
Artificial Intelligence Applications in the Development of Autonomous Vehicles: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 315-329
作者:  Yifang Ma;  Zhenyu Wang;  Hong Yang;  Lin Yang
浏览  |  Adobe PDF(2175Kb)  |  收藏  |  浏览/下载：156/43  |  提交时间：2021/03/11
Artificial intelligence (AI)  autonomous vehicles (AVs)  deep learning (DL)  motion planning  perception  self-driving  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：311/68  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787
作者:  Erphan A. Bhuiyan;  Md. Maeenul Azad Akhand;  Sajal K. Das;  Md. F. Ali;  Z. Tasneem;  Md. R. Islam;  D. K. Saha;  Faisal R. Badal;  Md. H. Ahamed;  S. I. Moyeen
浏览  |  Adobe PDF(2346Kb)  |  收藏  |  浏览/下载：213/83  |  提交时间：2021/02/22
Permanent magnet synchronous machine (PMSM)  fault diagnosis  fault tolerant control system (FTCS)  fault detection  stability.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：191/37  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：223/63  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
Item Response Theory Based Ensemble in Machine Learning 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 621-636
作者:  Ziheng Chen;  Hongshik Ahn
浏览  |  Adobe PDF(1163Kb)  |  收藏  |  浏览/下载：177/91  |  提交时间：2021/02/22
Classification  ensemble learning  item response theory  machine learning  expectation maximization (EM) algorithm.