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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	Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文 WATER, 2022, 卷号: 14, 期号: 11, 页码: 21 作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun;  Li, Zhenghao;  Song, Jinxi;  Xia, Jun 收藏  |  浏览/下载：88/0  |  提交时间：2022/08/22 mid- to long-term runoff prediction  deep learning models  time lag  lead time
	A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 3, 页码: 784-794 作者:  Yuan, Ye;  He, Qiang;  Luo, Xin;  Shang, Mingsheng 收藏  |  浏览/下载：75/0  |  提交时间：2022/08/22 Computational modeling  Sparse matrices  Big Data  Data models  Stochastic processes  Training  Software algorithms  Big data  latent factor analysis  generally multilayered structure  deep forest  multilayered extreme learning machine  randomized-learning  high-dimensional and sparse matrix  stochastic gradient descent  randomized model
	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：92/0  |  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