中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2022

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	A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 12, 页码: 9756-9773 作者:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu 收藏  |  浏览/下载：69/0  |  提交时间：2022/12/26 Tensors  Computational modeling  Numerical models  Data models  Convergence  Analytical models  Adaptation models  Dynamically weighted directed network  terminal interaction pattern analysis system  latent factorization of tensors  high dimensional and incomplete tensor  link prediction  representation learning  latent feature
	Two-stage hemoglobin prediction based on prior causality 期刊论文 FRONTIERS IN PUBLIC HEALTH, 2022, 卷号: 10, 页码: 12 作者:  Chen, Yuwen;  Zhong, Kunhua;  Zhu, Yiziting;  Sun, Qilong 收藏  |  浏览/下载：27/0  |  提交时间：2023/02/07 non-invasive  prediction  causal knowledge  hemoglobin  segmentation
	A comprehensive wind speed forecast correction strategy with an artificial intelligence algorithm 期刊论文 FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 卷号: 10, 页码: 12 作者:  Zhao, Xueliang;  Sun, Qilong;  Tang, Wanru;  Yu, Shuang;  Wang, Boyu 收藏  |  浏览/下载：33/0  |  提交时间：2023/02/07 wind speed  numerical weather prediction  forecast correction  deep learning  artificial intelligence
	Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma 期刊论文 JOURNAL OF ONCOLOGY, 2022, 卷号: 2022, 页码: 12 作者:  Feng, Menglong;  Zhang, Juhong;  Zhou, Xiaoqing;  Mo, Hailan;  Jia, Lifeng;  Zhang, Chanyuan;  Hu, Yaqin;  Yuan, Wei 收藏  |  浏览/下载：42/0  |  提交时间：2022/12/26
	Predicting Monthly Runoff of the Upper Yangtze River Based on Multiple Machine Learning Models 期刊论文 SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23 作者:  Li, Xiao;  Zhang, Liping;  Zeng, Sidong;  Tang, Zhenyu;  Liu, Lina;  Zhang, Qin;  Tang, Zhengyang;  Hua, Xiaojun 收藏  |  浏览/下载：41/0  |  提交时间：2022/12/26 monthly runoff prediction  machine learning  copula entropy  stepwise regression  Upper Yangtze River
	Joint hyperbolic and Euclidean geometry contrastive graph neural networks 期刊论文 INFORMATION SCIENCES, 2022, 卷号: 609, 页码: 799-815 作者:  Xu, Xiaoyu;  Pang, Guansong;  Wu, Di;  Shang, Mingsheng 收藏  |  浏览/下载：99/0  |  提交时间：2022/10/14 Graph neural networks  Hyperbolic embedding  Contrastive learning  Graph representation learning
	Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823 作者:  Luo, Xin;  Zhou, Yue;  Liu, Zhigang;  Hu, Lun;  Zhou, MengChu 收藏  |  浏览/下载：78/0  |  提交时间：2022/12/26 Computational modeling  Acceleration  Sparse matrices  Adaptation models  Training  Data models  Convergence  Services computing  service application  big data  latent factor analysis  non-negative latent factor model  high-dimensional and sparse matrix  recommender system  missing data
	A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 6, 页码: 2525-2538 作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Wu, Xindong 收藏  |  浏览/下载：66/0  |  提交时间：2022/08/22 Web Service  quality-of-service  QoS  latent factor analysis  density peak  data-characteristic-aware  missing data  big data  topological neighborhood  noise data  service selection  data science
	Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文 WATER, 2022, 卷号: 14, 期号: 11, 页码: 21 作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun;  Li, Zhenghao;  Song, Jinxi;  Xia, Jun 收藏  |  浏览/下载：88/0  |  提交时间：2022/08/22 mid- to long-term runoff prediction  deep learning models  time lag  lead time
	A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng 收藏  |  浏览/下载：75/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model