中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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机构
自动化研究所 [22]
地理科学与资源研究所 [9]
计算技术研究所 [7]
数学与系统科学研究院 [2]
上海药物研究所 [2]
心理研究所 [1]
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OAI收割 [45]
内容类型
期刊论文 [44]
SCI/SSCI论文 [1]
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2025 [1]
2024 [8]
2023 [11]
2022 [7]
2021 [4]
2020 [3]
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Effects of machine learning models and spatial resolution on land cover classification accuracy in Dali County, Shaanxi, China
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2025, 卷号: 18, 期号: 1, 页码: 245-259
作者:
Shi, Yu
;
Jin, Ning
;
Wu, Bingyan
;
Wang, Zekun
;
Wang, Shiwen
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2025/04/21
satellite data
different spatial resolutions
machine learning
land use
land cover
random forest
uncertainty
Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty
期刊论文
OAI收割
MOLECULAR PHARMACEUTICS, 2024, 页码: 16
作者:
Zhang, Yuanyuan
;
Xie, Zhiyin
;
Xiao, Fu
;
Yu, Jie
;
Fan, Zhehuan
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/12/11
pharmacokinetic parameters
machine learning
uncertainty
stacking
multitask learning
ADME
Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 12
作者:
Li, Liang
;
Lu, Tongyu
;
Sun, Yaoqi
;
Gao, Yuhan
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/12/06
Uncertainty
Feature extraction
Semantics
Task analysis
Training
Adversarial machine learning
Symbols
Domain shifting
progressive decision boundary
self-learning
unsupervised domain adaptation (UDA)
Degradation regression with uncertainty for blind super-resolution
期刊论文
OAI收割
NEUROCOMPUTING, 2024, 卷号: 582, 页码: 14
作者:
Li, Shang
;
Zhang, Guixuan
;
Luo, Zhengxiong
;
Liu, Jie
;
Zeng, Zhi
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2024/07/03
Blind super-resolution
Degradation estimation
Uncertainty learning
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models
期刊论文
OAI收割
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 5, 页码: 4003-4010
作者:
Yang, Zejun
;
Ning, Li
;
Wang, Haitao
;
Jiang, Tianyu
;
Zhang, Shaolin
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/05/20
Planning under uncertainty
AI-based methods
learning from demonstration
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models
期刊论文
OAI收割
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 5, 页码: 4003-4010
作者:
Yang, Zejun
;
Ning, Li
;
Wang, Haitao
;
Jiang, Tianyu
;
Zhang, Shaolin
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2024/07/03
Planning under uncertainty
AI-based methods
learning from demonstration
Convergence in simulating global soil organic carbon by structurally different models after data assimilation
期刊论文
OAI收割
GLOBAL CHANGE BIOLOGY, 2024, 卷号: 30, 期号: 5, 页码: 19
作者:
Tao, Feng
;
Houlton, Benjamin Z.
;
Huang, Yuanyuan
;
Wang, Ying-Ping
;
Manzoni, Stefano
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/07/24
big data assimilation
deep learning
inter-model uncertainty
model parameterization
model structure
soil organic carbon
Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:
Xu, Hongfu
;
Luo, Haiyong
;
Wu, Zijian
;
Zhao, Fang
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/05/20
Technological innovation
Global navigation satellite system
Navigation
Feature extraction
Adaptation models
Measurement uncertainty
Kalman filters
Deep learning
extended Kalman filter (EKF)
innovation matrix
integrated navigation
Safe Motion Planning for Autonomous Vehicles by Quantifying Uncertainties of Deep Learning-Enabled Environment Perception
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 2318-2332
作者:
Li, Dachuan
;
Liu, Bowen
;
Huang, Zijian
;
Hao, Qi
;
Zhao, Dezong
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/07/22
Uncertainty
Planning
Three-dimensional displays
Decision making
Detectors
Trajectory
Probabilistic logic
Autonomous driving
motion planning
object detection
Bayesian deep learning
uncertainty quantification
Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15896-15911
作者:
Chen, Mengyuan
;
Gao, Junyu
;
Xu, Changsheng
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/03/26
Uncertainty
Background noise
Task analysis
Location awareness
Measurement uncertainty
Interference
Predictive models
Weakly-supervised temporal action localization
evidential deep learning
uncertainty estimation