Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Dai, Genan"'
In modern digital environments, users frequently express opinions on contentious topics, providing a wealth of information on prevailing attitudes. The systematic analysis of these opinions offers valuable insights for decision-making in various sect
Externí odkaz:
http://arxiv.org/abs/2409.15690
Autor:
Niu, Fuqiang, Cheng, Zebang, Fu, Xianghua, Peng, Xiaojiang, Dai, Genan, Chen, Yin, Huang, Hu, Zhang, Bowen
Stance detection, which aims to identify public opinion towards specific targets using social media data, is an important yet challenging task. With the proliferation of diverse multimodal social media content including text, and images multimodal st
Externí odkaz:
http://arxiv.org/abs/2409.00597
Autor:
Li, Yongcheng, Cai, Lingcong, Lu, Ying, Lin, Cheng, Zhang, Yupeng, Jiang, Jingyan, Dai, Genan, Zhang, Bowen, Cao, Jingzhou, Zhang, Xiangzhong, Fan, Xiaomao
Accurate classification of blood cells is of vital significance in the diagnosis of hematological disorders. However, in real-world scenarios, domain shifts caused by the variability in laboratory procedures and settings, result in a rapid deteriorat
Externí odkaz:
http://arxiv.org/abs/2408.07467
Autor:
Li, Yongcheng, Cai, Lingcong, Lu, Ying, Zhang, Yupeng, Jiang, Jingyan, Dai, Genan, Zhang, Bowen, Cao, Jingzhou, Zhang, Xiangzhong, Fan, Xiaomao
Accurate classification of blood cells plays a vital role in hematological analysis as it aids physicians in diagnosing various medical conditions. In this study, we present a novel approach for classifying blood cell images known as BC-SAM. BC-SAM l
Externí odkaz:
http://arxiv.org/abs/2408.06716
Graph classification is a pivotal challenge in machine learning, especially within the realm of graph-based data, given its importance in numerous real-world applications such as social network analysis, recommendation systems, and bioinformatics. De
Externí odkaz:
http://arxiv.org/abs/2407.01886
Autor:
Zhang, Bowen, Fu, Xianghua, Ding, Daijun, Huang, Hu, Dai, Genan, Yin, Nan, Li, Yangyang, Jing, Liwen
Stance detection predicts attitudes towards targets in texts and has gained attention with the rise of social media. Traditional approaches include conventional machine learning, early deep neural networks, and pre-trained fine-tuning models. However
Externí odkaz:
http://arxiv.org/abs/2304.03087
Stance detection refers to the task of extracting the standpoint (Favor, Against or Neither) towards a target in given texts. Such research gains increasing attention with the proliferation of social media contents. The conventional framework of hand
Externí odkaz:
http://arxiv.org/abs/2212.14548
Autor:
Dai, Genan1,2 (AUTHOR) daigenan@sztu.edu.cn, Huang, Hu2,3 (AUTHOR), Peng, Xiaojiang1 (AUTHOR) pengxiaojiang@sztu.edu.cn, Zhang, Bowen1,2 (AUTHOR) zhang_bo_wen@foxmail.com, Fu, Xianghua1 (AUTHOR) zhang_bo_wen@foxmail.com
Publikováno v:
Mathematics (2227-7390). Jun2024, Vol. 12 Issue 11, p1739. 14p.
Autor:
Ding, Daijun1 (AUTHOR) 2100411011@email.szu.edu.cn, Dai, Genan2 (AUTHOR) daigenan@sztu.edu.cn, Peng, Cheng3 (AUTHOR) pengcheng@zsc.edu.cn, Peng, Xiaojiang2 (AUTHOR) pengxiaojiang@sztu.edu.cn, Zhang, Bowen2 (AUTHOR) zhang_bo_wen@foxmail.com, Huang, Hu4 (AUTHOR) zhang_bo_wen@foxmail.com
Publikováno v:
Mathematics (2227-7390). Apr2024, Vol. 12 Issue 7, p1119. 18p.
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