Zobrazeno 1 - 10
of 647
pro vyhledávání: '"Du, Zheng"'
Toxic content detection is crucial for online services to remove inappropriate content that violates community standards. To automate the detection process, prior works have proposed varieties of machine learning (ML) approaches to train Language Mod
Externí odkaz:
http://arxiv.org/abs/2312.08303
Publikováno v:
INTERSPEECH 2023
High quality transcription data is crucial for training automatic speech recognition (ASR) systems. However, the existing industry-level data collection pipelines are expensive to researchers, while the quality of crowdsourced transcription is low. I
Externí odkaz:
http://arxiv.org/abs/2309.14372
High-quality human transcription is essential for training and improving Automatic Speech Recognition (ASR) models. Recent study~\cite{libricrowd} has found that every 1% worse transcription Word Error Rate (WER) increases approximately 2% ASR WER by
Externí odkaz:
http://arxiv.org/abs/2309.10089
Practical natural language processing (NLP) tasks are commonly long-tailed with noisy labels. Those problems challenge the generalization and robustness of complex models such as Deep Neural Networks (DNNs). Some commonly used resampling techniques,
Externí odkaz:
http://arxiv.org/abs/2302.03488
Publikováno v:
In Remote Sensing of Environment 1 July 2024 308
Publikováno v:
In Atmospheric Research May 2024 301
Autor:
Yin Huaqi, Dong Bingqi, Zhao Yanhui, Ma Yongkang, Zhao Shiming, Sun Zhenghui, Du Zheng, Peng Jiangshan, Yang Tiejun
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background In recent years, hyperthermia has been widely applied as a novel strategy for cancer treatment due to its multiple antitumour effects. In particular, the potential influences of hyperthermia on the tumour immune microenvironment m
Externí odkaz:
https://doaj.org/article/5dbde6aef7ee4f40bd41157ccd76e2c5
Publikováno v:
In Computers & Graphics April 2024 119
Autor:
LI Shi-kuna, WANG Hong-zhena, ZHOU Hai-yueb, DU Zheng-penga, CAI Rong-qiangb, LI Dao-zhuangb, LI Zai-fengb"
Publikováno v:
Hecheng xiangjiao gongye, Vol 46, Iss 3, Pp 215-220 (2023)
HNBR/FKM composites were prepared by compounding carbon black (CB), hydroxide zinc monomethacrylate (HZMMA) and carbon nanotubes (CNTs) to modify hydrogenated nitrile rubber (HNBR)/ fluororubber (FKM) blend, and the effects of the composite reinforci
Externí odkaz:
https://doaj.org/article/3a933c3ed5da48f7aa353454ab24e7bd
Autor:
Yin Huaqi, Du Zheng, Ma Yongkang, Zhao Shiming, Sun Zhenghui, Wang Zhiwei, Li Congyu, Li Qian, Dong Bingqi, Zhu Mingkai, Zhu Chaoshuai, Peng Jiangshan, Yang Tiejun
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-8 (2023)
Abstract Background To determine whether transrectal ultrasound and urologist_dually guided pelvic floor muscle exercise is associated with immediate, early and long-term urinary continence after radical prostatectomy. Materials and methods Data from
Externí odkaz:
https://doaj.org/article/db701f8a1a6a4194a8e8d40fab163f56