Zobrazeno 1 - 10
of 879
pro vyhledávání: '"ZHOU Xiaoling"'
Autor:
Wu Haicong, Shi Yixian, Yan Yongqin, Zhang Jiaxiang, Zhou Xiaoling, Mei Xuan, Zheng Zhiyong, Li Dongliang
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1987-1998 (2022)
N,N-Dimethylformamide (DMF) is widely used in chemical industries because of its excellent solvent properties. Poisoning accidents caused by DMF have been frequently reported, particularly hepatotoxicity; however, the hepatic pathological changes hav
Externí odkaz:
https://doaj.org/article/e0589468f131402f8cd67f929ea1d2c3
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 2, Pp 55-61 (2022)
Electric energy measurement system of rail transit train has no national standard. At present, IEC 61000-4-30 Electromagnetic compatibility-Part 4-30:Testing and measurement techniques-Power quality measurement methods is only applicable to power fre
Externí odkaz:
https://doaj.org/article/6867cfe031014326b83fa4ccefdbcc78
Publikováno v:
Pteridines, Vol 31, Iss 1, Pp 1-8 (2020)
Objective This meta-analysis aims to investigate the diagnostic performance of serum homocysteine (Hcy) as a biomarker for diabetic nephropathy (DN).
Externí odkaz:
https://doaj.org/article/f7f6b6b6a034463f8897809de6efe97b
The emergence of in-context learning (ICL) enables large pre-trained language models (PLMs) to make predictions for unseen inputs without updating parameters. Despite its potential, ICL's effectiveness heavily relies on the quality, quantity, and per
Externí odkaz:
http://arxiv.org/abs/2407.00100
Data valuation has garnered increasing attention in recent years, given the critical role of high-quality data in various applications, particularly in machine learning tasks. There are diverse technical avenues to quantify the value of data within a
Externí odkaz:
http://arxiv.org/abs/2405.17464
Data augmentation plays a pivotal role in enhancing and diversifying training data. Nonetheless, consistently improving model performance in varied learning scenarios, especially those with inherent data biases, remains challenging. To address this,
Externí odkaz:
http://arxiv.org/abs/2404.16307
Publikováno v:
E3S Web of Conferences, Vol 352, p 02009 (2022)
The effects of elevated O3 (O3) on photosynthetic characteristics of urban trees were studied in an open-top air chamber. The results showed that net photosynthetic rate (Pn), transpiration rate (Et), stomatal conductance (Gs) and water use efficienc
Externí odkaz:
https://doaj.org/article/5f254d0f60c441bd888f792398c4c53e
Machine learning models are prone to capturing the spurious correlations between non-causal attributes and classes, with counterfactual data augmentation being a promising direction for breaking these spurious associations. However, generating counte
Externí odkaz:
http://arxiv.org/abs/2304.13431
Publikováno v:
AAAI2023
Adversarial training is an effective learning technique to improve the robustness of deep neural networks. In this study, the influence of adversarial training on deep learning models in terms of fairness, robustness, and generalization is theoretica
Externí odkaz:
http://arxiv.org/abs/2304.12550
Sample weighting is widely used in deep learning. A large number of weighting methods essentially utilize the learning difficulty of training samples to calculate their weights. In this study, this scheme is called difficulty-based weighting. Two imp
Externí odkaz:
http://arxiv.org/abs/2301.04850