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 momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction 期刊论文 NEUROCOMPUTING, 2019, 卷号: 367, 页码: 299-307 作者:  Wang, Qingxian;  Chen, Minzhi;  Shang, Mingsheng;  Luo, Xin 收藏  |  浏览/下载：447/0  |  提交时间：2019/12/03 Big Data  QoS prediction  Temporal-aware QoS prediction  Stochastic gradient descent  Latent factorization of tensors  Momentum method
	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
	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
	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
	An adaptive latent factor model via particle swarm optimization for high-dimensional and sparse matrices 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:  Chen, Sili;  Yuan, Ye;  Wang, Jin 收藏  |  浏览/下载：148/0  |  提交时间：2020/02/18
	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
	Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4710-4720 作者:  Jin, Long;  Li, Shuai;  Hung Manh La;  Luo, Xin Adobe PDF(903Kb)  |  收藏  |  浏览/下载：3237/2  |  提交时间：2018/03/05 Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution
	Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems 会议论文 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16, 2017 - May 18, 2017 作者:  Yuan, Ye;  Luo, Xin;  Shang, Ming-Sheng;  Cai, Xin-Yi Adobe PDF(717Kb)  |  收藏  |  浏览/下载：112/0  |  提交时间：2018/03/16
	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：98/0  |  提交时间：2018/03/16