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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	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
	Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 13338-13346 作者:  Gan, Zhenhua;  Zou, Fumin;  Zeng, Nianyin;  Xiong, Baoping;  Liao, Lyuchao;  Li, Han;  Luo, Xin;  Du, Min Adobe PDF(5435Kb)  |  收藏  |  浏览/下载：159/0  |  提交时间：2019/03/25 Compressed sensing  wavelet denoising  DNA microarray  image filtering  NDOA
	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：265/0  |  提交时间：2018/06/04
	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
	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：218/0  |  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)
	Performance of latent factor models with extended linear biases 期刊论文 Knowledge-Based Systems, 2017, 卷号: 123, 页码: 128-136 作者:  Chen, Jia;  Luo, Xin;  Yuan, Ye;  Shang, Mingsheng;  Ming, Zhong;  Xiong, Zhang Adobe PDF(2755Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2018/03/16
	A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices 期刊论文 IEEE ACCESS, 2016, 卷号: 4, 页码: 2649-2655 作者:  Luo, Xin;  Zhou, Mengchu;  Shang, Mingsheng;  Li, Shuai;  Xia, Yunni Adobe PDF(9487Kb)  |  收藏  |  浏览/下载：875/1  |  提交时间：2018/03/15 Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system
	Regularizaed extraction of non-negative latent factors from high-dimensional sparse matrices 会议论文 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9, 2016 - October 12, 2016 作者:  Luo, Xin;  Li, Shuai;  Zhou, Mengchu Adobe PDF(764Kb)  |  收藏  |  浏览/下载：89/0  |  提交时间：2018/03/16