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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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序作者升序作者降序题名升序题名降序WOS被引频次升序WOS被引频次降序发表日期升序发表日期降序提交时间升序提交时间降序
	A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction 期刊论文 IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 2, 页码: 793-805 作者:  Wu, Di;  He, Qiang;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin 收藏  |  浏览/下载：49/0  |  提交时间：2022/08/22 Web service  quality-of-service  latent factor analysis  posterior-neighborhood  regularization  cloud computing  big data
	Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems 期刊论文 NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328 作者:  Chen, Jiufang;  Yuan, Ye;  Ruan, Tao;  Chen, Jia;  Luo, Xin 收藏  |  浏览/下载：73/0  |  提交时间：2021/02/24 Big Data  Intelligent Computation  Latent Factor Analysis  Evolutionary Computing  Learning Algorithm  High-dimensional and Sparse Data  Parameter Free
	Elastic-net regularized latent factor analysis-based models for recommender systems 期刊论文 NEUROCOMPUTING, 2019, 卷号: 329, 页码: 66-74 作者:  Wang, Dexian;  Chen, Yanbin;  Guo, Junxiao;  Shi, Xiaoyu;  He, Chunlin;  Luo, Xin;  Yuan, Huaqiang Adobe PDF(1965Kb)  |  收藏  |  浏览/下载：212/0  |  提交时间：2019/01/17 Big data  Recommender systems  Collaborative filtering  Latent factor analysis  Elastic-net  Regularization  Latent factor distribution
	Convergence analysis of an SLF-NMU algorithm for non-negative latent factor analysis on a high-dimensional and sparse matrix 会议论文 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, October 6, 2019 - October 9, 2019 作者:  Liu, Zhigang;  Luo, Xin 收藏  |  浏览/下载：120/0  |  提交时间：2020/02/18
	Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 16257-16263 作者:  Zeng, Nianyin;  Li, Han;  Li, Yurong;  Luo, Xin Adobe PDF(4383Kb)  |  收藏  |  浏览/下载：165/0  |  提交时间：2019/03/25 Gold immunochromatographic strip  quantitative analysis  image segmentation  CNN
	Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 会议论文 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018, Zhuhai, China, March 27, 2018 - March 29, 2018 作者:  Chen, Jia;  Luo, Xin Adobe PDF(5259Kb)  |  收藏  |  浏览/下载：129/0  |  提交时间：2019/06/25
	An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022 作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng Adobe PDF(805Kb)  |  收藏  |  浏览/下载：414/0  |  提交时间：2019/06/26
	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng Adobe PDF(803Kb)  |  收藏  |  浏览/下载：426/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network
	Highly Efficient Framework for Predicting Interactions Between Proteins 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743 作者:  You, Zhu-Hong;  Zhou, MengChu;  Luo, Xin;  Li, Shuai Adobe PDF(1407Kb)  |  收藏  |  浏览/下载：216/0  |  提交时间：2018/03/15 Big data  feature extraction  kernel extreme learning machine (K-ELM)  low-rank approximation (LRA)  protein-protein interactions (PPIs)  support vector machine (SVM)
	Efficient extraction of non-negative latent factors from high-dimensional and sparse matrices in industrial applications 会议论文 16th IEEE International Conference on Data Mining, ICDM 2016, Barcelona, Catalonia, Spain, December 12, 2016 - December 15, 2016 作者:  Luo, Xin;  Shang, Mingsheng;  Li, Shuai 收藏  |  浏览/下载：54/0  |  提交时间：2018/03/16