Zobrazeno 1 - 10
of 1 013
pro vyhledávání: '"Jin Ran"'
Autor:
Yong Eun Park, Hye Su Moon, Dongeun Yong, Hochan Seo, Jinho Yang, Tae-Seop Shin, Yoon-Keun Kim, Jin Ran Kim, Yoo Na Lee, Young-Ho Kim, Joo Sung Kim, Jae Hee Cheon
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Inflammatory bowel diseases (IBD), including Crohn’s disease and ulcerative colitis, are chronic immune-mediated intestinal inflammatory disorders associated with microbial dysbiosis at multiple sites, particularly the gut. Anti-tumor necr
Externí odkaz:
https://doaj.org/article/b0efa59517f348c69c66ce69e8beb932
Publikováno v:
SHS Web of Conferences, Vol 166, p 01072 (2023)
Macvlan and IPvlan modes allow the host physical Network Interface Card (NIC) to create several virtual sub interfaces, which can meet the containers communication requirements across different network segment in complex application scenarios. The pa
Externí odkaz:
https://doaj.org/article/bafc6933d4a640d38881a7afa1361839
It is challenging but important to save annotation efforts in streaming data acquisition to maintain data quality for supervised learning base learners. We propose an ensemble active learning method to actively acquire samples for annotation by conte
Externí odkaz:
http://arxiv.org/abs/2310.06306
Systems with both quantitative and qualitative responses are widely encountered in many applications. Design of experiment methods are needed when experiments are conducted to study such systems. Classic experimental design methods are unsuitable her
Externí odkaz:
http://arxiv.org/abs/2304.08701
Publikováno v:
Cybernetics and Information Technologies, Vol 15, Iss 2, Pp 63-74 (2015)
Traditional community detection algorithms are easily interfered by noises and outliers. Therefore, we propose to leverage a clustering fusion method to improve the results of community detection. Usually, there are two issues in clustering ensembles
Externí odkaz:
https://doaj.org/article/1b1d02366d024e73927f75905817723b
Fog manufacturing can greatly enhance traditional manufacturing systems through distributed Fog computation units, which are governed by predictive computational workload offloading methods under different Industrial Internet architectures. It is kno
Externí odkaz:
http://arxiv.org/abs/2210.04811
In this work, we propose ModelPred, a framework that helps to understand the impact of changes in training data on a trained model. This is critical for building trust in various stages of a machine learning pipeline: from cleaning poor-quality sampl
Externí odkaz:
http://arxiv.org/abs/2111.12545
Autor:
Jin, Ran1 (AUTHOR) rjin01@amgen.com, Kruppert, Silvia2 (AUTHOR), Scholz, Florian2 (AUTHOR), Bardoulat, Isabelle3 (AUTHOR), Karzazi, Khalil3 (AUTHOR), Morand, Francois3 (AUTHOR), Kricorian, Greg1 (AUTHOR), Collier, David1 (AUTHOR), Kay, Jonathan4 (AUTHOR)
Publikováno v:
Rheumatology & Therapy. Jun2024, Vol. 11 Issue 3, p523-537. 15p.
Reducing the shortage of organ donations to meet the demands of patients on the waiting list has being a major challenge in organ transplantation. Because of the shortage, organ matching decision is the most critical decision to assign the limited vi
Externí odkaz:
http://arxiv.org/abs/2107.10971
Autor:
Liang, Jin-Hua, Wang, Wei-Ting, Wang, Rong, Gao, Rui, Du, Kai-Xin, Duan, Zi-Wen, Zhang, Xin-Yu, Li, Yue, Wu, Jia-Zhu, Yin, Hua, Shen, Hao-Rui, Wang, Li, Li, Jian-Yong, Guo, Jin-Ran, Xu, Wei
Publikováno v:
In Cancer Letters 1 June 2024 591