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pro vyhledávání: '"Jiehai Chen"'
Autor:
Liying Zeng, Haoxuan Tang, Jiehai Chen, Yijian Deng, Yunfeng Zhao, Hang Lei, Yufei Wan, Ying Pan, Yongqiang Deng
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2024)
BackgroundMany previous studies have revealed a close relationship between lipoprotein metabolism and sepsis, but their causal relationship has, until now, remained unclear. Therefore, we performed a two-sample Mendelian randomization analysis to est
Externí odkaz:
https://doaj.org/article/3f37b95350364ed29b260575ecae8e59
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3877 (2023)
Aspect-level sentiment classification (ALSC) is a fine-grained sentiment analysis task that aims to predict the sentiment of the given aspect in a sentence. Recent studies mainly focus on using the Graph Convolutional Networks (GCN) to deal with both
Externí odkaz:
https://doaj.org/article/cfb081ec574a44ec962ce2633a67fa2c
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4273 (2022)
As a subtask of sentiment analysis, aspect-based sentiment analysis (ABSA) refers to identifying the sentiment polarity of the given aspect. The state-of-the-art ABSA models are developed by using the graph neural networks to deal with the semantics
Externí odkaz:
https://doaj.org/article/8916a9e623eb4db09a44f377bc3093a5
Publikováno v:
International Journal of Machine Learning and Cybernetics. 14:2181-2192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73b805b540ed4b00c1fda7d987663d4
https://doi.org/10.1007/s13042-022-01754-w
https://doi.org/10.1007/s13042-022-01754-w
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5580-5593 (2024)
Using object-based deep learning for the urban land cover classification has become a mainstream method. This study proposed an urban land cover classification method based on segments’ object features, deep features, and spatial association featur
Externí odkaz:
https://doaj.org/article/c97a81c957c84d2189357cff7cf68923
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Rapidly and accurately extracting built-up areas is an essential prerequisite of urbanization research. There have been many studies on the extraction of built-up areas using remote sensing technologies. So far, few studies have been conducted to eva
Externí odkaz:
https://doaj.org/article/c423937a6a6a473188d04fa80b75bd65