Zobrazeno 1 - 10
of 10 325
pro vyhledávání: '"Yu, Zhen"'
Autor:
Zhang, Xin, Mehta, Deval, Hu, Yanan, Zhu, Chao, Darby, David, Yu, Zhen, Merlo, Daniel, Gresle, Melissa, Van Der Walt, Anneke, Butzkueven, Helmut, Ge, Zongyuan
Survival analysis holds a crucial role across diverse disciplines, such as economics, engineering and healthcare. It empowers researchers to analyze both time-invariant and time-varying data, encompassing phenomena like customer churn, material degra
Externí odkaz:
http://arxiv.org/abs/2409.06209
This open access book addresses the current technical problems of low efficiency of emergency site information collection, lack of flexibility of emergency information interaction, lack of fusion analysis technology and disaster loss prediction model
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/86148
Vision-language foundation models like CLIP have shown impressive zero-shot generalization, but finetuning on downstream datasets can cause overfitting and loss of its generalization ability on unseen domains. Although collecting additional data from
Externí odkaz:
http://arxiv.org/abs/2405.02586
In the problem of quickest change detection (QCD), a change occurs at some unknown time in the distribution of a sequence of independent observations. This work studies a QCD problem where the change is either a bad change, which we aim to detect, or
Externí odkaz:
http://arxiv.org/abs/2405.00842
It is essential but challenging to share medical image datasets due to privacy issues, which prohibit building foundation models and knowledge transfer. In this paper, we propose a novel dataset distillation method to condense the original medical im
Externí odkaz:
http://arxiv.org/abs/2403.13469
Autor:
Yan, Siyuan, Liu, Chi, Yu, Zhen, Ju, Lie, Mahapatra, Dwarikanath, Betz-Stablein, Brigid, Mar, Victoria, Janda, Monika, Soyer, Peter, Ge, Zongyuan
Deep learning models for medical image analysis easily suffer from distribution shifts caused by dataset artifacts bias, camera variations, differences in the imaging station, etc., leading to unreliable diagnoses in real-world clinical settings. Dom
Externí odkaz:
http://arxiv.org/abs/2401.03002
Autor:
Di Li, Yigui Han, Guochun Zhao, Mei-Fu Zhou, Dengfa He, Shuoqin Hou, Yu Zhen, Dan Fan, Hao Yang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The provenance of Precambrian detritus in the Junggar and Altai terranes provides crucial constraints on the peri-Siberian accretionary tectonic evolution in the middle Paleozoic. The Precambrian detrital zircons have no coeval magmatic equi
Externí odkaz:
https://doaj.org/article/572a5c6e02d14e78aaacf3c0c2a4d311
Autor:
Wang-Da Liu, Meng-Shuan Lin, Hsin-Yun Sun, Ming-Chieh Shih, Yu-Chung Chuang, Yu-Shan Huang, Kuan-Yin Lin, Guei-Chi Li, Pei-Ying Wu, Ling-Ya Chen, Wen-Chun Liu, Yi-Ching Su, Pu-Chi He, Yi-Ting Chen, Chia-Yi Lin, Yu-Chen Cheng, Yi Yao, Yi-Chen Yeh, Chia-Chi Liu, Mei-Yan Pan, Yu-Zhen Luo, Hsi-Yen Chang, Jann-Tay Wang, Wang-Huei Sheng, Szu-Min Hsieh, Sui-Yuan Chang, Chien-Ching Hung
Publikováno v:
Journal of Microbiology, Immunology and Infection, Vol 57, Iss 4, Pp 554-563 (2024)
Background: Real-world vaccine effectiveness following the third dose of vaccination against SARS-CoV-2 remains less investigated among people with HIV (PWH). Methods: PWH receiving the third dose of BNT162b2 and mRNA-1273 (either 50- or 100-μg) wer
Externí odkaz:
https://doaj.org/article/590aff5ae8c443e9a1c648ed491e8f65
Effective resource allocation in sensor networks, IoT systems, and distributed computing is essential for applications such as environmental monitoring, surveillance, and smart infrastructure. Sensors or agents must optimize their resource allocation
Externí odkaz:
http://arxiv.org/abs/2307.06442
Semi-supervised learning (SSL) has attracted much attention since it reduces the expensive costs of collecting adequate well-labeled training data, especially for deep learning methods. However, traditional SSL is built upon an assumption that labele
Externí odkaz:
http://arxiv.org/abs/2304.04059