机构

• 自动化研究所 [233]
• 计算技术研究所 [75]
• 地理科学与资源研究... [65]
• 沈阳自动化研究所 [26]
• 合肥物质科学研究院 [22]
• 西安光学精密机械研... [20]
• 更多

采集方式

• OAI收割 [651]
• iSwitch采集 [3]

内容类型

• 期刊论文 [555]
• 会议论文 [57]
• 学位论文 [38]
• SCI/SSCI论文 [2]
• 专著 [1]
• 演示报告 [1]
• 更多

发表日期

• 2024 [15]
• 2023 [94]
• 2022 [118]
• 2021 [115]
• 2020 [86]
• 2019 [60]
• 更多

学科主题

• Physics [9]
• Engineerin... [4]
• Chemistry [3]
• Engineerin... [3]
• Environmen... [3]
• Environmen... [3]
• 更多

筛选

浏览/检索结果: 共654条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values 期刊论文  OAI收割 GEOSCIENCE FRONTIERS, 2024, 卷号: 15, 期号: 4, 页码: 101800 作者:  Wang, Nan;  Zhang, Hongyan;  Dahal, Ashok;  Cheng, Weiming;  Zhao, Min   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/04/08 Hydro-morphological processes  SHAP maps  Explainable AI  China   Deep convolutional neural network based on self-distillation for tool wear recognition 期刊论文  OAI收割 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12 作者:  Pan, Yi;  Hao, Ling;  He, Jianliang;  Ding, Kun;  Yu, Qiang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/27 Tool fault diagnosis  Mobile inspection robots  Self-distillation  Industry 4.0  Deep learning   Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2024, 页码: 23 作者:  Liu, Jing-Jing;  Yao, Jie-Peng;  Liu, Jin-Hang;  Wang, Zhong-Yi;  Huang, Lan   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/27 Missing time series data  Small samples  Imputation  Classification  Gradient penalized adversarial Multitasking   Towards a unified framework for imperceptible textual attacks 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2024, 页码: 14 作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel   |  收藏  |  浏览/下载：38/0  |  提交时间：2024/03/26 Adversarial attack  Backdoor attack  Natural language processing  Adversarial machine learning   Entanglement Generation of Polar Molecules via Deep Reinforcement Learning 期刊论文  OAI收割 JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2024 作者:  Zhang, Zuo-Yuan;  Sun, Zhaoxi;  Duan, Tao;  Ding, Yi-Kai;  Huang, Xinning   |  收藏  |  浏览/下载：57/0  |  提交时间：2024/03/26 Indirect estimation of pediatric reference interval via density graph deep embedded clustering 期刊论文  OAI收割 COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10 作者:  Zheng, Jianguo;  Tang, Yongqiang;  Peng, Xiaoxia;  Zhao, Jun;  Chen, Rui   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/03/27 Reference interval  Reference interval  Indirect estimation  Indirect estimation  Machine learning  Machine learning  Deep neural networks  Deep neural networks  Graph clustering  Graph clustering   Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting 期刊论文  OAI收割 MACHINE LEARNING, 2024, 页码: 19 作者:  Xu, Baowen;  Wang, Xuelei;  Li, Jingwei;  Liu, Chengbao   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/02/21 Spatio-temporal weather forecasting  U-Net  Re-parameterization   Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2024, 页码: 13 作者:  Qi, Jifeng;  Sun, Guimin;  Xie, Bowen;  Li, Delei;  Yin, Baoshu   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/04/07 machine learning  convolutional neural network (CNN)  ocean subsurface salinity structure (OSSS)  Indian Ocean  satellite observations   Learning to Branch in Combinatorial Optimization With Graph Pointer Networks 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 157-169 作者:  Rui Wang;  Zhiming Zhou;  Kaiwen Li;  Tao Zhang;  Ling Wang   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/01/02 Branch-and-bound (B&B)  combinatorial optimization  deep learning  graph neural network  imitation learning   Audio Mixing Inversion via Embodied Self-supervised Learning 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 55-62 作者:  Haotian Zhou   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/01/25 Audio mixing inversion, intelligent audio mixing, self-supervised learning, audio signal processing, deep learning