Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Shiyun Chen"'
Autor:
Huan Yan, Mengjiao Fan, Miaomiao Gou, Runjia Fan, Yuting Pan, Shiyun Chen, Guanghai Dai, Niansong Qian
Publikováno v:
Disease Markers
Disease Markers, Vol 2021 (2021)
Disease Markers, Vol 2021 (2021)
Background. Nowadays, PD-1/PD-L1 inhibitors are widely used to treat various malignant tumors. However, during the immunotherapy in a few patients, a flare-up of tumor growth occurred. This new pattern of progression is called hyperprogressive diseas
Publikováno v:
Knowledge-Based Systems. 203:106091
Document-level review sentiment classification aims to predict the sentiment category for given review documents written by users for products. Most of the existing methods focus on generating a good review document representation and classifying the
Autor:
Yuting Pan, Haiyan Si, Zhikuan Wang, Shiyun Chen, Miaomiao Gou, Huan Yan, Niansong Qian, Liu Tie E, Guanghai Dai, Runjia Fan
Publikováno v:
Journal of Clinical Oncology. 38:4028-4028
4028 Background: Fruquintinib, a vascular endothelial growth factor receptor (VEGFR) inhibitor, is a new anti-cancer targeting drug independently developed in China for refractory metastatic colorectal cancer (mCRC). Because Regorafenib combined with
Publikováno v:
IJCNN
Attention mechanisms achieve promising performance in text classification. When classifying the sentence into a certain category among multiple candidates, the existing attention utilizes a unified attention weight vector to determine contribution of
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783319930336
PAKDD (1)
PAKDD (1)
Neural networks (NN) have demonstrated powerful ability to extract text features automatically for sentiment classification in recent years. Although semantic and syntactic features are well studied, global category information has been mostly ignore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b74363138e0ad0f28eddc1027aadb54
https://doi.org/10.1007/978-3-319-93034-3_5
https://doi.org/10.1007/978-3-319-93034-3_5
Publikováno v:
Transforming Digital Worlds ISBN: 9783319781044
iConference
iConference
Urban renewal was a national initiative from the 1960s through the 70s aimed at improving so-called “blighted” areas, and resulted in the displacement of many vibrant communities. While the underlying mechanisms of urban renewal have been examine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a02579fd48b18b17a11030797290d4
https://doi.org/10.1007/978-3-319-78105-1_72
https://doi.org/10.1007/978-3-319-78105-1_72
Publikováno v:
SemEval@NAACL-HLT
This paper presents our single model to Subtask 1 of SemEval 2018 Task 2: Emoji Prediction in English. In order to predict the emoji that may be contained in a tweet, the basic model we use is an attention-based recurrent neural network which has ach
Autor:
Yuheng Zhang, Jhon De La Cruz, Richard Marciano, Edel Spencer, Myeong Lee, Hyeonggi Hong, Shiyun Chen
Publikováno v:
IEEE BigData
Computational Archival Science (CAS) has been proposed as a trans-disciplinary field that combines computational and archival thinking. To provide grounded evidence, a foundational paper explored eight initial themes that constitute potential buildin
Publikováno v:
CSE/EUC (1)
Most of the existing community detection (CD) methods are designed primarily for unsigned networks containing only positive links. Therefore, it is significant to explore and design effective CD methods for signed social networks (SNs) with both posi