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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：213/0  |  提交时间：2019/01/17
Big data  Recommender systems  Collaborative filtering  Latent factor analysis  Elastic-net  Regularization  Latent factor distribution  
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：167/0  |  提交时间：2019/03/25
Gold immunochromatographic strip  quantitative analysis  image segmentation  CNN  
A data-aware latent factor model for web service Qos prediction 会议论文
23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, Macau, China, April 14, 2019 - April 17, 2019
作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Wu, Xindong
收藏  |  浏览/下载：169/0  |  提交时间：2020/02/18
Assessment of different mcy genes for detecting the toxic to non-toxic Microcystis ratio in the field by multiplex qPCR 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2018, 卷号: 36, 期号: 4, 页码: 1132-1144
作者:  Zuo Jun;  Chen Liting;  Shan Kun;  Hu Lili;  Song Lirong;  Gan Nanqin
Adobe PDF(552Kb)  |  收藏  |  浏览/下载：192/0  |  提交时间：2018/09/25
Microcystis Bloom  Toxic Microcystis  Multiplex Qpcr  Mcya  Mcyb  Mcyd  Mcye  Pca  
Effects of the bipartite structure of a network on performance of recommenders 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 492, 页码: 1257-1266
作者:  Wang, Qing-Xian;  Li, Jian;  Luo, Xin;  Xu, Jian-Jun;  Shang, Ming-Sheng
收藏  |  浏览/下载：128/0  |  提交时间：2018/03/16
Bipartite network  Clustering coefficient  Network density  User-item ratio  Recommender system  
Self-training semi-supervised classification based on density peaks of data 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 180-191
作者:  Wu, Di;  Shang, Mingsheng;  Luo, Xin;  Xu, Ji;  Yan, Huyong;  Deng, Weihui;  Wang, Guoyin
收藏  |  浏览/下载：168/0  |  提交时间：2018/03/05
Density peaks  Self-training  Semi-supervised classification  Supervised learning  
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：131/0  |  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：416/0  |  提交时间：2019/06/26
Age Classification Using Convolutional Neural Networks with the Multi-class Focal Loss 会议论文
2018 3rd International Conference on Automation, Control and Robotics Engineering, CACRE 2018, Chengdu, China, July 19, 2018 - July 22, 2018
作者:  Liu, Wei;  Chen, Lin;  Chen, Yajun
Adobe PDF(924Kb)  |  收藏  |  浏览/下载：103/0  |  提交时间：2019/06/25
A self-training semi-supervised classification algorithm based on density peaks of data and differential evolution 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:  Wu, Di;  Shang, Mingsheng;  Wang, Guoyin;  Li, Li
收藏  |  浏览/下载：128/0  |  提交时间：2019/06/25