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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发表日期：2020

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	Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1798-1809 作者:  Luo, Xin;  Wu, Hao;  Yuan, Huaqiang;  Zhou, MengChu 收藏  |  浏览/下载：371/0  |  提交时间：2020/08/24 Quality of service  Hidden Markov models  Data models  Training  Web services  Time factors  Latent factor analysis (LFA)  latent factorization of tensor  learning temporal pattern  linear bias (LB)  non-negative latent factorization of tensor  non-negativity constraint  quality-of-service (QoS) prediction
	Inferring Skin Lesion Segmentation With Fully Connected CRFs Based on Multiple Deep Convolutional Neural Networks 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 144246-144258 作者:  Qiu, Yuming;  Cai, Jingyong;  Qin, Xiaolin;  Zhang, Ju 收藏  |  浏览/下载：91/0  |  提交时间：2020/10/12 Lesions  Image segmentation  Skin  Measurement  Predictive models  Training  Task analysis  Deep convolutional neural networks  ensemble learning  fully connected CRFs  pigmented skin lesion segmentation
	Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method 会议论文 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019 作者:  Lv, Yuanxin;  Shi, Xiaoyu;  Ran, Longyu;  Shang, Mingsheng 收藏  |  浏览/下载：394/0  |  提交时间：2020/02/18
	A Deep Self-learning Classification Framework for Incomplete Medical Patents with Multi-label 会议论文 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2019, co-located with the 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, July 20, 2019 - July 22, 2019 作者:  Luo, Mengzhen;  Shi, Xiaoyu;  Ji, Qianqian;  Shang, Mingsheng;  He, Xianbo;  Tao, Weiguo 收藏  |  浏览/下载：393/0  |  提交时间：2020/02/18
	seIMC: A GSW-Based Secure and Efficient Integer Matrix Computation Scheme With Implementation 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 98383-98394 作者:  Bai, Yanan;  Shi, Xiaoyu;  Wu, Wenyuan;  Chen, Jingwei;  Feng, Yong 收藏  |  浏览/下载：105/0  |  提交时间：2020/08/24 Encryption  Data privacy  Cloud computing  Lattices  Machine learning  Computational efficiency  Homomorphic encryption  matrix computation  machine learning  GSW encryption scheme  big data  privacy protection