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北京航空航天大学 [50]

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期刊论文 [32]

会议论文 [18]

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限定条件	专题：北京航空航天大学第一署名单位第一作者单位通讯作者单位

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	An Active Learning Method Based on Uncertainty and Complexity for Gearbox Fault Diagnosis 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 9022-9031 作者: Chen, Jiayu; Zhou, Dong; Guo, Ziyue; Lin, Jing; Lyu, Chuan 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/30 Active learning gearbox fault diagnosis uncertainty and complexity supervised learning
	A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks 期刊论文 COMPLEXITY, 2019, 卷号: 2019 作者: Gao, Fei; Huang, Teng; Sun, Jinping; Hussain, Amir; Yang, Erfu 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/30 Cluster analysis Deep learning Discriminant analysis Fisher information matrix Image recognition Iterative methods Learning algorithms Machine learning Radar Radar imaging Remote sensing Classification results Clustering information Clustering methods Kernel fisher discriminant analysis Recognition algorithm Semi supervisions Semi- supervised learning Semi-supervised learning methods Supervised learning
	A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition 期刊论文 Cognitive Computation, 2019 作者: Yue, Z.; Gao, F.; Xiong, Q.; Wang, J.; Huang, T. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Automatic target recognition Convolution Discriminant analysis Image recognition Machine learning Matrix algebra Neural networks Probability Radar imaging Supervised learning Synthetic aperture radar Class probabilities Cognitive learning Convolutional neural network Linear discriminant analysis Recognition accuracy Semi- supervised learning Semi-supervised method Stationary targets Radar target recognition
	Predicting the Evolution Process of Infrastructure Networks With an NSIPA Link Prediction Method 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2019, 卷号: 66, 页码: 1895-1899 作者: Mei, Lan; Tang, Disheng; Wang, Tianyu; Du, Wenbo; Xia, Yongxiang 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/30 Power grids Complex networks Indexes Supervised learning Evolution (biology) Predictive models Power grid complex network link prediction preferential attachment
	Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文 RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 171-177 作者: Wang, Shuo; Liu, Zhenyu; Rong, Yu; Zhou, Bin; Bai, Yan 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Deep learning High-grade serous ovarian cancer Recurrence Prognosis Computed tomography Artificial intelligence Semi-supervised learning Auto encoder Unsupervised learning
	Hierarchical extreme learning machine based image denoising network for visual Internet of Things 期刊论文 APPLIED SOFT COMPUTING, 2019, 卷号: 74, 页码: 747-759 作者: Yang, Yifan; Zhang, Hong; Yuan, Ding; Sun, Daniel; Li, Guoqiang 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Image denoising Visual Internet of Things Extreme learning machine Supervised regression Non-local Heavy noise
	A Contrastive Study of Machine Learning on Funding Evaluation Prediction 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 106307-106315 作者: Zhang, Chuqing; Zhang, Han; Hu, Xiaoting 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 Supervised machine learning project evaluation funding decision SVM
	A Semi-Supervised Synthetic Aperture Radar (SAR) Image Recognition Algorithm Based on an Attention Mechanism and Bias-Variance Decomposition 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 108617-108632 作者: Gao, Fei; Shi, Wei; Wang, Jun; Hussain, Amir; Zhou, Huiyu 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/30 Attention mechanism bias-variance decomposition SAR target recognition semi-supervised learning
	Integrated GANs: Semi-Supervised SAR Target Recognition 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 113999-114013 作者: Gao, Fei; Liu, Qiuyang; Sun, Jinping; Hussain, Amir; Zhou, Huiyu 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Synthetic aperture radar (SAR) generative adversarial networks (GANs) semi-supervised learning generation recognition
	Empirical curvelet based fully convolutional network for supervised texture image segmentation 期刊论文 NEUROCOMPUTING, 2019, 卷号: 349, 页码: 31-43 作者: Huang, Yuan; Zhou, Fugen; Gilles, Jerome 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Texture segmentation/classification Empirical wavelet transform Fully convolutional network Supervised learning

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