Zobrazeno 1 - 10
of 2 352
pro vyhledávání: '"XIA, Xue"'
Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps
Publikováno v:
NeurIPS 2024 Workshop on Self-Supervised Learning - Theory and Practice
Tracking geographic entities from historical maps, such as buildings, offers valuable insights into cultural heritage, urbanization patterns, environmental changes, and various historical research endeavors. However, linking these entities across div
Externí odkaz:
http://arxiv.org/abs/2411.17425
Automated feature detection in historical maps can significantly accelerate the reconstruction of the geospatial past. However, this process is often constrained by the time-consuming task of manually digitizing sufficient high-quality training data.
Externí odkaz:
http://arxiv.org/abs/2411.06971
Autor:
Mühlematter, Dominik J., Schweizer, Sebastian, Jiao, Chenjing, Xia, Xue, Heitzler, Magnus, Hurni, Lorenz
Historical maps are invaluable for analyzing long-term changes in transportation and spatial development, offering a rich source of data for evolutionary studies. However, digitizing and classifying road networks from these maps is often expensive an
Externí odkaz:
http://arxiv.org/abs/2410.02250
Deep learning brought boosts to auto diabetic retinopathy (DR) diagnosis, thus, greatly helping ophthalmologists for early disease detection, which contributes to preventing disease deterioration that may eventually lead to blindness. It has been pro
Externí odkaz:
http://arxiv.org/abs/2408.07264
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The incidence of multiple pronuclei (≥ 3PN) zygotes and blastomere multinucleation was found to be elevated in the presence of increased estradiol (E2) levels and a greater number of retrieved oocytes. This implies a potential link between
Externí odkaz:
https://doaj.org/article/f65b5d0b087649c2a966e132d73f9cc8
Publikováno v:
International Journal of Manpower, 2024, Vol. 45, Issue 8, pp. 1516-1539.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJM-11-2023-0665
Autor:
Xia, Xue, Eksombatchai, Pong, Pancha, Nikil, Badani, Dhruvil Deven, Wang, Po-Wei, Gu, Neng, Joshi, Saurabh Vishwas, Farahpour, Nazanin, Zhang, Zhiyuan, Zhai, Andrew
Sequential models that encode user activity for next action prediction have become a popular design choice for building web-scale personalized recommendation systems. Traditional methods of sequential recommendation either utilize end-to-end learning
Externí odkaz:
http://arxiv.org/abs/2306.00248
Autor:
Guozhong Jiang, Zhizhong Wang, Zhenguo Cheng, Weiwei Wang, Shuangshuang Lu, Zifang Zhang, Chinedu A. Anene, Faraz Khan, Yue Chen, Emma Bailey, Huisha Xu, Yunshu Dong, Peinan Chen, Zhongxian Zhang, Dongling Gao, Zhimin Wang, Jinxin Miao, Xia Xue, Pengju Wang, Lirong Zhang, Rathi Gangeswaran, Peng Liu, Louisa S. Chard Dunmall, Junkuo Li, Yongjun Guo, Jianzeng Dong, Nicholas R. Lemoine, Wencai Li, Jun Wang, Yaohe Wang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Esophageal squamous cell carcinoma (ESCC) is highly heterogeneous. Our understanding of full molecular and immune landscape of ESCC remains limited, hindering the development of personalised therapeutic strategies. To address this, we perfor
Externí odkaz:
https://doaj.org/article/c3c0976adb9a46179840a933958f546b
Publikováno v:
World Journal of Traditional Chinese Medicine, Vol 10, Iss 3, Pp 334-346 (2024)
Objective: The ancient classical Chinese formulation, Xie-Bai-San (XBS), was studied qualitatively and quantitatively, and its main components were characterized. Materials and Methods: The chemical compounds in XBS were identified using a combinatio
Externí odkaz:
https://doaj.org/article/290920222a034dc19152b8f160e8f7af
Autor:
Liu, Shu-Ting1 (AUTHOR), Xia, Xue-Ying1 (AUTHOR), Song, Zi-Cheng1 (AUTHOR), Hu, Jia-Jia2 (AUTHOR), Zhao, Wei1 (AUTHOR) weizhao@ahmu.edu.cn
Publikováno v:
Lupus. Nov2024, Vol. 33 Issue 13, p1466-1475. 10p.