Zobrazeno 1 - 10
of 82
pro vyhledávání: '"An, Luwan"'
Network analysis has been a powerful tool to unveil relationships and interactions among a large number of objects. Yet its effectiveness in accurately identifying important node-node interactions is challenged by the rapidly growing network size, wi
Externí odkaz:
http://arxiv.org/abs/2209.13762
Autor:
Lan, Luwan, Liu, Wanqing, Liu, Chen, Wang, Huan, Wang, Min, Abbey, Cody, Singh, Manpreet K., Rozelle, Scott, She, Xinshu, Tong, Lian
Publikováno v:
In Journal of Adolescent Health September 2024 75(3):404-415
Autor:
She, Xinshu, Tong, Lian, Wang, Huan, Lan, Luwan, Wang, Min, Abbey, Cody, Singh, Manpreet Kaur, Rozelle, Scott
Publikováno v:
In JAACAP Open December 2023 1(4):295-305
Autor:
CHEN Minyang, ZHENG Bo, BAO Shiyi, MA Haifeng, SHI Jiaojiao, LAN Luwan, LIU Shaojie, YU Yingjia
Publikováno v:
Shanghai yufang yixue, Vol 34, Iss 12, Pp 1267-1270 (2022)
The 2022 Fudan university doctorate academic public health forum hosted by the graduate school of Fudan university， the graduate work department of the party committee of Fudan university， and the school of public health of Fudan university was s
Externí odkaz:
https://doaj.org/article/c305f6414b434113b0be2122e2bb6be2
Dantzig Selector (DS) is widely used in compressed sensing and sparse learning for feature selection and sparse signal recovery. Since the DS formulation is essentially a linear programming optimization, many existing linear programming solvers can b
Externí odkaz:
http://arxiv.org/abs/1811.00958
Autor:
Zhang, Luwan, Cai, Tianrun
Unsupervised ensemble learning has long been an interesting yet challenging problem that comes to prominence in recent years with the increasing demand of crowdsourcing in various applications. In this paper, we propose a novel method-- unsupervised
Externí odkaz:
http://arxiv.org/abs/1810.06376
Despite recent development in methodology, community detection remains a challenging problem. Existing literature largely focuses on the standard setting where a network is learned using an observed adjacency matrix from a single data source. Constru
Externí odkaz:
http://arxiv.org/abs/1804.02097
Autor:
Joyce, Michael, Durant, Luwan, Emre, Sukru, Haakinson, Danielle, Hammers, Lenore, Hughes, Lisa, Ventura, Kara, Wuerth, Diane, Liapakis, AnnMarie
Publikováno v:
In Transplantation Proceedings May 2021 53(4):1105-1111
Autor:
Keke Cui, Zhipeng Yu, Le Xu, Wangcong Jiang, Luwan Wang, Xiangqun Wang, Dandan Zou, Jiajie Gu, Feng Gao, Xiaoqing Zhang, Zhengchun Wang
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Low dose acute administration of N-methyl-D-aspartate receptor (NMDAR) antagonist MK-801 is widely used to model cognition impairments associated with schizophrenia (CIAS) in rodents. However, due to no unified standards for animal strain, dose, rout
Externí odkaz:
https://doaj.org/article/e040d5766a00423e960b18bff093a7b9
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