Zobrazeno 1 - 10
of 437
pro vyhledávání: '"LI Keyi"'
Autor:
Jaus, Alexander, Seibold, Constantin, Reiß, Simon, Marinov, Zdravko, Li, Keyi, Ye, Zeling, Krieg, Stefan, Kleesiek, Jens, Stiefelhagen, Rainer
We present Connected-Component~(CC)-Metrics, a novel semantic segmentation evaluation protocol, targeted to align existing semantic segmentation metrics to a multi-instance detection scenario in which each connected component matters. We motivate thi
Externí odkaz:
http://arxiv.org/abs/2410.18684
Conventional methods in semi-supervised learning (SSL) often face challenges related to limited data utilization, mainly due to their reliance on threshold-based techniques for selecting high-confidence unlabeled data during training. Various efforts
Externí odkaz:
http://arxiv.org/abs/2405.06227
AI-based recommender systems have been successfully applied in many domains (e.g., e-commerce, feeds ranking). Medical experts believe that incorporating such methods into a clinical decision support system may help reduce medical team errors and imp
Externí odkaz:
http://arxiv.org/abs/2207.02922
Autor:
Zhou, Yuwei, Zeng, Xiaofei, Zhang, Luyi, Yin, Xiaojie, Ma, Xue, Li, Keyi, Qiu, Peijing, Lou, Xiaoting, Jin, Liqin, Wang, Ya, Yang, Yanling, Shen, Ting
Publikováno v:
In Molecular Genetics and Metabolism Reports December 2024 41
Autor:
Zhang, Yan, Tang, Luyao, Yang, Guiyi, Xin, Haotian, Huang, Yan, Li, Keyi, Liu, Jiandong, Pang, Jiaojiao, Cao, Duxia
Publikováno v:
In Colloids and Surfaces B: Biointerfaces December 2024 244
Autor:
Huang, Yan a, Xin, Haotian a, Zhang, Yan a, Yang, Guiyi a, Li, Keyi a, Wang, Lei a, Guan, Ruifang a, ⁎, Wang, Kang-Nan b, ⁎, Cao, Duxia a, ⁎
Publikováno v:
In Sensors and Actuators: B. Chemical 1 March 2025 426
Publikováno v:
In Applied Surface Science 1 March 2025 684
Autor:
Sun, Shixian, He, Yutian, Han, Yu, Zhu, Guangzhao, Shang, Xinxin, Wang, Lezheng, Tang, Yunqi, Li, Keyi, Tan, Hao, Lu, Cheng, Zhang, Wenfei, Wang, Guomei, Bai, Caixun, Li, Zhao, Xu, Nannan, Zhang, Huanian, Fu, Shenggui
Publikováno v:
In Journal of Luminescence January 2025 277
Process data with confidential information cannot be shared directly in public, which hinders the research in process data mining and analytics. Data encryption methods have been studied to protect the data, but they still may be decrypted, which lea
Externí odkaz:
http://arxiv.org/abs/2203.07949
Autor:
Gu, Shangcong, Huang, Yan, Li, Xinxin, Xin, Haotian, Mu, Haoran, Zhang, Yan, Li, Keyi, Yang, Guiyi, Zhao, Songfang, Cao, Duxia
Publikováno v:
In Journal of Hazardous Materials 15 September 2024 477