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pro vyhledávání: '"Jin, Ran"'
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
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
Publikováno v:
In Measurement January 2025 242 Part C
Autor:
Jin, Ran
Geometric quality variables of wafers, such as BOW and WARP, are critical in their applications. A large variation of these quality variables reduces the number of conforming products in the downstream production. Therefore, it is important to reduce
Externí odkaz:
http://hdl.handle.net/1853/41077
Publikováno v:
Systems, Vol 12, Iss 11, p 467 (2024)
In China, communities function as grassroots self-governing bodies, and the enhancement of public participation in community governance has remained a central focus of study. This paper applies the Large-Scale Group Decision-Making (LSGDM) method to
Externí odkaz:
https://doaj.org/article/b77ab47e383a4881b42e180bca1d6594
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.
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:
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
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