机构

• 自动化研究所 [11]
• 地理科学与资源研究所 [9]
• 计算技术研究所 [3]
• 重庆绿色智能技术研究... [2]
• 力学研究所 [1]
• 国家空间科学中心 [1]
• 更多

采集方式

• OAI收割 [32]

内容类型

• 期刊论文 [31]
• 会议论文 [1]

发表日期

• 4602 [1]
• 2026 [2]
• 2025 [3]
• 2024 [9]
• 2023 [4]
• 2022 [7]
• 更多

学科主题

• Computer S... [1]
• Informatio... [1]

筛选

浏览/检索结果: 共32条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 The Transparency Revolution in Geohazard Science: A Systematic Review and Research Roadmap for Explainable Artificial Intelligence 期刊论文  OAI收割 CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 4602, 卷号: N/A 作者:  Tosan, Moein;  Nourani, Vahid;  Kisi, Ozgur;  Zhang, Yongqiang;  Kantoush, Sameh A.   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 Explainable artificial intelligence (XAI)  geohazard assessment  machine learning  SHAP  trustworthy AI  model interpretability   Interpretable deep learning hybrid streamflow prediction modeling based on multi-source data fusion 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2026, 卷号: 196, 页码: 106796 作者:  Wang, Zhaocai;  Ding, Cheng;  Xu, Nannan;  Wang, Weilong;  Zhang, Xingxing   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Streamflow prediction  Deep learning  Feature extraction  Mode decomposition  Nonlinear integration  Interpretability   Multi-Source Data Fusion and Heuristic-Optimized Machine Learning for Large-Scale River Water Quality Parameters Monitoring 期刊论文  OAI收割 REMOTE SENSING, 2026, 卷号: 18, 期号: 2, 页码: 320 作者:  Fang, Kehang;  Wu, Feng;  Gao, Xing;  Li, Zhihui   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/16 multi-source data fusion  water quality inversion  machine learning optimization  whale optimization algorithm  SHAP interpretability   Mapping soil organic carbon in fragmented agricultural landscapes: The efficacy and interpretability of multi-category remote sensing variables 期刊论文  OAI收割 JOURNAL OF INTEGRATIVE AGRICULTURE, 2025, 卷号: 24, 期号: 11, 页码: 4395-4414 作者:  Wei, Yujiao;  Chen, Yiyun;  Wang, Jiaxue;  Yu, Peiheng;  Xu, Lu   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/19 soil organic carbon  remote sensing-derived variables  Shapley additive explanations  efficacy and interpretability  fragmented agricultural landscapes   Predicting energy absorption characteristic of rubber concrete materials 期刊论文  OAI收割 CONSTRUCTION AND BUILDING MATERIALS, 2025, 卷号: 465, 页码: 16 作者:  Mei, Xiancheng;  Li, Jianhe;  Zhang, Jiamin;  Cui, Zhen;  Zhou, Jian   |  收藏  |  浏览/下载：35/0  |  提交时间：2025/06/27 Energy absorption characteristic  Rubber concrete material  Tunnel  Intelligent prediction  Model interpretability   Interpretable flash flood susceptibility mapping in Yarlung Tsangpo River Basin using H2O Auto-ML 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 1702 作者:  He, Fei;  Liu, Suxia;  Mo, Xingguo;  Wang, Zhonggen   |  收藏  |  浏览/下载：41/0  |  提交时间：2025/02/24 Flash flood susceptibility  Yarlung Tsangpo River Basin  Machine learning  Model interpretability   GENNDTI: Drug-Target Interaction Prediction Using Graph Neural Network Enhanced by Router Nodes 期刊论文  OAI收割 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 12, 页码: 7588-7598 作者:  Yang, Beiyuan;  Liu, Yule;  Wu, Junfeng;  Bai, Fang;  Zheng, Mingyue   |  收藏  |  浏览/下载：30/0  |  提交时间：2025/01/14 DTI  interpretability  graph enhancement  prior knowledge  graph neural network  DTI  interpretability  graph enhancement  prior knowledge  graph neural network   Understanding human mobility and trip demand through sparse trajectories of private e-bikes 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2024, 卷号: 471, 页码: 143444 作者:  Wang, Peixiao;  Zhang, Hengcai;  Cheng, Shifen;  Lu, Feng;  Zhang, Tong   |  收藏  |  浏览/下载：42/0  |  提交时间：2024/10/21 Human mobility  Private e-bike trajectories  e-bike trip  Model interpretability  Driving mechanisms   Explainable deep learning insights into the history and future of net primary productivity in China 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2024, 卷号: 166, 页码: 112394 作者:  Liu, Nanjian;  Hao, Zhixin;  Zhao, Peng   |  收藏  |  浏览/下载：40/0  |  提交时间：2024/09/19 Net primary productivity  Deep learning  Interpretability  Driving factors  Climate change   Towards interpretable machine learning for observational quantification of soil heavy metal concentrations under environmental constraints 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 926, 页码: 12 作者:  Sun, Yishan;  Chen, Shuisen;  Jiang, Hao;  Qin, Boxiong;  Li, Dan   |  收藏  |  浏览/下载：113/0  |  提交时间：2024/09/13 Pollutants  Remote sensing  Hyperspectral  Satellite  Interpretability  Prediction