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
	Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536 作者:  Chen, Jia;  Luo, Xin;  Zhou, Mengchu 收藏  |  浏览/下载：62/0  |  提交时间：2022/12/26 Adaptation models  Optimization  Convergence  Computational modeling  Sparse matrices  Particle swarm optimization  Big Data  Big data  latent factor analysis  particle swarm optimization  high-dimensional and sparse matrix  large-scale incomplete data  missing data estimation  industrial application
	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
	Convolutional-de-convolutional neural networks for recognition of surgical workflow 期刊论文 FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2022, 卷号: 16, 页码: 10 作者:  Chen, Yu-wen;  Zhang, Ju;  Wang, Peng;  Hu, Zheng-yu;  Zhong, Kun-hua 收藏  |  浏览/下载：45/0  |  提交时间：2022/12/26 neural networks  convolutional-de-convolutional  transfer learning  surgical workflow  deep learning
	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
	Anthropogenic land use substantially increases riverine CO2 emissions 期刊论文 JOURNAL OF ENVIRONMENTAL SCIENCES, 2022, 卷号: 118, 页码: 158-170 作者:  Gu, Shijie;  Li, Siyue;  Santos, Isaac R. 收藏  |  浏览/下载：60/0  |  提交时间：2022/08/22 River carbon  Inland waters  Greenhouse gases  Climate change  Water quality  Headwater streams
	A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14 作者:  Yuan, Ye;  Luo, Xin;  Shang, Mingsheng;  Wang, Zidong 收藏  |  浏览/下载：64/0  |  提交时间：2022/08/22 Quality of service  Data models  Kalman filters  Estimation  Computational modeling  Web services  Heuristic algorithms  Alternating least squares (ALSs)  computational intelligence  data science  dynamic latent factor analysis (LFA)  dynamics  intelligent computing  Kalman filter  temporal pattern  Web service
	An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis 期刊论文 Journal of Big Data, 2022, 卷号: 9, 期号: 1 作者:  Li,Qing;  Pang,Guansong;  Shang,Mingsheng 收藏  |  浏览/下载：49/0  |  提交时间：2022/08/22 Big data analysis  Latent factor analysis  Simulated annealing  Differential evolution algorithm  Multi-parameter adaptive
	Quantitative combination load forecasting model based on forecasting error optimization 期刊论文 COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 101, 页码: 11 作者:  Deng, Song;  Chen, Fulin;  Wu, Di;  He, Yi;  Ge, Hui;  Ge, Yuan 收藏  |  浏览/下载：42/0  |  提交时间：2022/08/22 Gene expression programming  Data noise reduction  Load forecasting error  Combination load forecasting