机构

• 地理科学与资源研究所 [9]
• 自动化研究所 [4]
• 长春光学精密机械与物... [3]
• 计算技术研究所 [2]
• 数学与系统科学研究院 [2]
• 武汉物理与数学研究所 [1]
• 更多

采集方式

• OAI收割 [24]
• iSwitch采集 [1]

内容类型

• 期刊论文 [16]
• 会议论文 [5]
• SCI/SSCI论文 [4]

发表日期

• 2025 [1]
• 2024 [2]
• 2023 [2]
• 2021 [2]
• 2020 [2]
• 2019 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共25条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Risk assessment of water inrush from coal floor based on enhanced samples with class distribution 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 16 作者:  Liu, Shiwei;  Zhao, Jiaxin;  Yu, Hao;  Chen, Jiaqi   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/06/27 Coal mining above a confined aquifer  Risk of water inrush from coal floor  Small sample  Data augmentation  Neural network   Rapid lithological mapping using multi-source remote sensing data fusion and automatic sample generation strategy 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 23 作者:  Zhang, Tao;  Zhao, Zhifang;  Dong, Pinliang;  Tang, Bo-Hui;  Zhang, Geng   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/02/06 Lithological mapping  sample auto-generation  data fusion  Google Earth Engine  object-based segmentation   Small Sample Time Series Classification Based on Data Augmentation and Semi-supervised 期刊论文  OAI收割 INFORMATION TECHNOLOGY AND CONTROL, 2024, 卷号: 53, 期号: 2, 页码: 336 作者:  Liu, Jing-Jing;  Yao, Jie-Peng;  Wang, Zhuo;  Wang, Zhong-Yi;  Huang, Lan   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/09/09 Small sample time series  Data augmentation  Fast Shapelets  Self-supervised learning  Semi-su- pervised classification   Semisupervised Progressive Representation Learning for Deep Multiview Clustering 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15 作者:  Chen, Rui;  Tang, Yongqiang;  Xie, Yuan;  Feng, Wenlong;  Zhang, Wensheng   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/11/17 Representation learning  Training  Data models  Task analysis  Complexity theory  Semisupervised learning  Optimization  Deep clustering  multiview clustering  progressive sample learning  semisupervised learning   MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams 期刊论文  OAI收割 NEURAL NETWORKS, 2023, 卷号: 161, 页码: 525-534 作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/11/17 Deep learning  Imbalanced data streams  Sample gradient  Typical samples  Mixup   Data Augmentation and Spectral Structure Features for Limited Samples Hyperspectral Classification 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 4, 页码: 20 作者:  Wang, Wenning;  Liu, Xuebin;  Mou, Xuanqin   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/04/19 hyperspectral classification  data augmentation  structural features  small sample classification   Periodicity Search on X-Ray Bursts of SGR J1935+2154 Using 8.5 yr of Fermi/GBM Data 期刊论文  OAI收割 The Astrophysical Journal, 2021, 卷号: 923, 页码: L30 作者:  HXMT   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/02/08 2008  1471  Astrophysics - High Energy Astrophysical Phenomena  Abstract: We performed a systematic search for X-ray bursts of the SGR J1935+2154 using the Fermi Gamma-ray Burst Monitor continuous data dated from 2013 January to 2021 October. Eight bursting phases, which consist of a total of 353 individual bursts, are identified. We further analyze the periodic properties of our sample using the Lomb-Scargle periodogram. The result suggests that those bursts exhibit a period of ~238 days with a ~63.2% duty cycle. Based on our analysis, we further predict two upcoming active windows of the X-ray bursts. Since 2021 July, the beginning date of our first prediction has been confirmed by the ongoing X-ray activities of the SGR J1935+2154.   A graded proportion method of training sample selection for updating conventional soil maps 期刊论文  OAI收割 GEODERMA, 2020, 卷号: 357, 页码: 9 作者:  Liu, Xueqi;  Zhu, A-Xing;  Yang, Lin;  Pei, Tao;  Liu, Junzhi   |  收藏  |  浏览/下载：17/0  |  提交时间：2020/05/19 Training sample selection method  Data mining model  Update conventional soil map  Soil-environmental relationships   A graded proportion method of training sample selection for updating conventional soil maps 期刊论文  OAI收割 GEODERMA, 2020, 卷号: 357, 页码: 9 作者:  Liu, Xueqi;  Zhu, A-Xing;  Yang, Lin;  Pei, Tao;  Liu, Junzhi   |  收藏  |  浏览/下载：35/0  |  提交时间：2020/05/19 Training sample selection method  Data mining model  Update conventional soil map  Soil-environmental relationships   Tests for homogeneity of risk differences in stratified design with correlated bilateral data 期刊论文  OAI收割 JOURNAL OF APPLIED STATISTICS, 2019, 页码: 23 作者:  Qiu, Shi-Fang;  Guo, Li-Xuan;  Zou, G. Y.;  Yu, Dan   |  收藏  |  浏览/下载：75/0  |  提交时间：2020/01/10 Correlated bilateral data  homogeneity testing  modified score test  sample size determination  stratified design