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WOS被引频次升序WOS被引频次降序提交时间升序提交时间降序期刊影响因子升序期刊影响因子降序
	Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning 期刊论文 TOXINS, 2022, 卷号: 14, 期号: 8, 页码: 16 作者:  Wang, Xiaoxiao;  Wang, Lan;  Shang, Mingsheng;  Song, Lirong;  Shan, Kun 收藏  |  浏览/下载：113/0  |  提交时间：2022/10/14 Microcystis blooms  microcystins  nutrient  zooplankton  machine learning  risk management  Lake Taihu
	An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532 作者:  Luo, Xin;  Wang, Zidong;  Shang, Mingsheng 收藏  |  浏览/下载：82/0  |  提交时间：2021/08/20 High-dimensional and sparse (HiDS) data  industrial application  instance-frequency  non-negative latent factor analysis (NLFA)  recommender system  regularization
	DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198 作者:  Wang, Qingxian;  Peng, Binbin;  Shi, Xiaoyu;  Shang, Tianqi;  Shang, Mingsheng Adobe PDF(4751Kb)  |  收藏  |  浏览/下载：144/0  |  提交时间：2019/06/24 Recommender systems  collaborative filtering  rating prediction  denoising autoencoders  multi layered perceptron
	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 收藏  |  浏览/下载：508/0  |  提交时间：2018/07/02 Big data  high-dimensional and sparse matrix  learning algorithms  missing-data estimation  nonnegative latent factor analysis  optimization methods recommender system
	Popularity and Novelty Dynamics in Evolving Networks 期刊论文 SCIENTIFIC REPORTS, 2018, 卷号: 8, 页码: 10 作者:  Abbas, Khushnood;  Shang, Mingsheng;  Abbasi, Alireza;  Luo, Xin;  Xu, Jian Jun;  Zhang, Yu-Xia Adobe PDF(2105Kb)  |  收藏  |  浏览/下载：266/0  |  提交时间：2018/06/04
	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：416/0  |  提交时间：2019/06/26
	TCR: Temporal-CNN for Reviews Based Recommendation System 会议论文 2nd International Conference on Deep Learning Technologies, ICDLT 2018, Chongqing, China, June 27, 2018 - June 29, 2018 作者:  Mao, Yelu;  Shi, Xiaoyu;  Shang, Ming-Sheng;  Zhang, Ying Adobe PDF(508Kb)  |  收藏  |  浏览/下载：908/1  |  提交时间：2019/06/25
	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：429/0  |  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
	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：56/0  |  提交时间：2018/03/16
	Symmetric non-negative latent factor models for undirected large networks 会议论文 26th International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August 19, 2017 - August 25, 2017 作者:  Luo, Xin;  Shang, Ming-Sheng 收藏  |  浏览/下载：66/0  |  提交时间：2018/03/16