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pro vyhledávání: '"Wang, Liya"'
Autor:
Grabner, Michael, Molife, Cliff, Wang, Liya, Winfree, Katherine B, Cui, Zhanglin Lin, Cuyun Carter, Gebra, Hess, Lisa M
Publikováno v:
JMIR Cancer, Vol 7, Iss 2, p e23161 (2021)
BackgroundThe integration of data from disparate sources could help alleviate data insufficiency in real-world studies and compensate for the inadequacies of single data sources and short-duration, small sample size studies while improving the utilit
Externí odkaz:
https://doaj.org/article/c0e4236eac9a4a058f0a3346af6f13f5
Learning effective sentence representations is crucial for many Natural Language Processing (NLP) tasks, including semantic search, semantic textual similarity (STS), and clustering. While multiple transformer models have been developed for sentence
Externí odkaz:
http://arxiv.org/abs/2305.09556
Autor:
Wang, Liya, Tien, Alex
Remote sensing scene classification has been extensively studied for its critical roles in geological survey, oil exploration, traffic management, earthquake prediction, wildfire monitoring, and intelligence monitoring. In the past, the Machine Learn
Externí odkaz:
http://arxiv.org/abs/2302.14256
Autor:
Wang, Liya, Tien, Alex
The past few years have seen an increased interest in aerial image object detection due to its critical value to large-scale geo-scientific research like environmental studies, urban planning, and intelligence monitoring. However, the task is very ch
Externí odkaz:
http://arxiv.org/abs/2301.12058
Publikováno v:
Management Decision, 2023, Vol. 61, Issue 10, pp. 2994-3016.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MD-09-2022-1185
Airport performance prediction with a reasonable look-ahead time is a challenging task and has been attempted by various prior research. Traffic, demand, weather, and traffic management actions are all critical inputs to any prediction model. In this
Externí odkaz:
http://arxiv.org/abs/2111.04494
Transformers have become the de-facto standard in the natural language processing (NLP) field. They have also gained momentum in computer vision and other domains. Transformers can enable artificial intelligence (AI) models to dynamically focus on ce
Externí odkaz:
http://arxiv.org/abs/2111.04471
Autor:
Wang, Liya, He, Li, Yi, Weijia, Wang, Min, Xu, Fangmin, Liu, Hanlin, Nie, Jiahui, Pan, Yi-Hsuan, Dang, Suying, Zhang, Wei
Publikováno v:
In iScience 19 July 2024 27(7)
Publikováno v:
In Heliyon 30 June 2024 10(12)
Publikováno v:
In Heliyon 15 June 2024 10(11)