Zobrazeno 1 - 10
of 305
pro vyhledávání: '"Yulan He"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11, Pp 404-418 (2023)
AbstractMonitoring online customer reviews is important for business organizations to measure customer satisfaction and better manage their reputations. In this paper, we propose a novel dynamic Brand-Topic Model (dBTM) which is able to automatically
Externí odkaz:
https://doaj.org/article/e14acb7e930a424c84c935a7e8fb874d
Autor:
Yong Wei, Song He, Jiatian Wang, Peiyang Fan, Yulan He, Ke Hu, Yulan Chen, Guofa Zhou, Daibin Zhong, Xueli Zheng
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
IntroductionSince the second half of the 20th century, Aedes albopictus, a vector for more than 20 arboviruses, has spread worldwide. Aedes albopictus is the main vector of infectious diseases transmitted by Aedes mosquitoes in China, and it has caus
Externí odkaz:
https://doaj.org/article/e3f30937b39f48e9aa9b1e13b992f1d3
Publikováno v:
Computational Linguistics, Vol 48, Iss 4 (2022)
Recent years have witnessed increasing interest in developing interpretable models in Natural Language Processing (NLP). Most existing models aim at identifying input features such as words or phrases important for model predictions. Neural models de
Externí odkaz:
https://doaj.org/article/9b69099fcbd648348b29ec83999dc377
Autor:
Shanshan Wu, Yulan He, Yong Wei, Peiyang Fan, Weigui Ni, Daibin Zhong, Guofa Zhou, Xueli Zheng
Publikováno v:
PLoS ONE, Vol 17, Iss 4, p e0266128 (2022)
The susceptibility of Asian tiger mosquitoes to DENV-2 in different seasons was observed in simulated field environments as a reference to design dengue fever control strategies in Guangzhou. The life table experiments of mosquitoes in four seasons w
Externí odkaz:
https://doaj.org/article/1047d6d459a34d2eb05ecddc38b212b3
Publikováno v:
Infectious Diseases of Poverty, Vol 8, Iss 1, Pp 1-9 (2019)
Abstract Background Aedes albopictus is a highly invasive mosquito species and a major vector of numerous viral pathogens. Many recent dengue fever outbreaks in China have been caused solely by the vector. Mapping of the potential distribution ranges
Externí odkaz:
https://doaj.org/article/257dba95095b4a1f8af616c2fbbea05b
Patterns of spatial genetic structures in Aedes albopictus (Diptera: Culicidae) populations in China
Autor:
Yong Wei, Jiatian Wang, Zhangyao Song, Yulan He, Zihao Zheng, Peiyang Fan, Dizi Yang, Guofa Zhou, Daibin Zhong, Xueli Zheng
Publikováno v:
Parasites & Vectors, Vol 12, Iss 1, Pp 1-15 (2019)
Abstract Background The Asian tiger mosquito, Aedes albopictus, is one of the 100 worst invasive species in the world and the vector for several arboviruses including dengue, Zika and chikungunya viruses. Understanding the population spatial genetic
Externí odkaz:
https://doaj.org/article/913f1b45e4344e0bb805b80de0aec1f6
Publikováno v:
IEEE Access, Vol 7, Pp 27983-27992 (2019)
Neural attention mechanism has achieved many successes in various tasks in natural language processing. However, existing neural attention models based on a densely connected network are loosely related to the attention mechanism found in psychology
Externí odkaz:
https://doaj.org/article/c4399cb0d826436397c534091e64fb58
Autor:
Dizi Yang, Yulan He, Weigui Ni, Qi Lai, Yonghong Yang, Jiayan Xie, Tianrenzheng Zhu, Guofa Zhou, Xueli Zheng
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0229829 (2020)
BACKGROUND:Aedes albopictus is a major vector for several tropical infectious diseases. Characterization of Ae. albopictus development under natural conditions is crucial for monitoring vector population expansion, dengue virus transmission, and dise
Externí odkaz:
https://doaj.org/article/824c59dd32a84b658547e4f28247e9ed
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-16 (2017)
Abstract Background Prediction of DNA-binding residue is important for understanding the protein-DNA recognition mechanism. Many computational methods have been proposed for the prediction, but most of them do not consider the relationships of evolut
Externí odkaz:
https://doaj.org/article/092f01ba0c4040a4a94f33fc98af4c00
Publikováno v:
Entropy, Vol 17, Iss 9, Pp 6007-6024 (2015)
In recent years, there has been an increasing interest in learning a distributed representation of word sense. Traditional context clustering based models usually require careful tuning of model parameters, and typically perform worse on infrequent w
Externí odkaz:
https://doaj.org/article/2f2712a00bec4ded8b897a53c75599bc