Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Huang, Dou"'
Autor:
Li, Peiran, Zhang, Haoran, Li, Wenjing, Huang, Dou, Chen, Jinyu, Zhang, Junxiang, Song, Xuan, Zhao, Pengjun, Ryosuke, Shibasaki
The importance of personal mobility data is widely recognized in various fields. However, the utilization of real personal mobility data raises privacy concerns. Therefore, it is crucial to generate pseudo personal mobility data that accurately refle
Externí odkaz:
http://arxiv.org/abs/2312.11289
Autor:
Guo, Zhiling, Shi, Xiaodan, Zhang, Haoran, Huang, Dou, Song, Xiaoya, Yan, Jinyue, Shibasaki, Ryosuke
The development of remote sensing and deep learning techniques has enabled building semantic segmentation with high accuracy and efficiency. Despite their success in different tasks, the discussions on the impact of spatial resolution on deep learnin
Externí odkaz:
http://arxiv.org/abs/2307.04101
Autor:
Filtz, Annalisa, Lorenzatti, Daniel, Scotti, Andrea, Piña, Pamela, Fernandez-Hazim, Carol, Huang, Dou, Ippolito, Paul, Skendelas, John P, Kuno, Toshiki, Rodriguez, Carlos J, Schenone, Aldo L, Latib, Azeem, Lavie, Carl J, Shaw, Leslee J., Blankstein, Ron, Shapiro, Michael D, Garcia, Mario J, Berman, Daniel S, Dey, Damini, Virani, Salim S, Slipczuk, Leandro
Publikováno v:
In American Journal of Preventive Cardiology September 2024 19
Autor:
Tan, Hongjun, Guo, Zhiling, Lin, Zhengyuan, Chen, Yuntian, Huang, Dou, Yuan, Wei, Zhang, Haoran, Yan, Jinyue
Publikováno v:
In Applied Energy 15 August 2024 368
Deep neural networks (DNNs) have achieved extraordinary performance in solving different tasks in various fields. However, the conventional DNN model is steadily approaching the ground-truth value through loss backpropagation. In some applications, s
Externí odkaz:
http://arxiv.org/abs/2111.10785
Autor:
Huang, Dou, Lacombe, Philip, Gulati, Gaurav, Couper, Gregory S., Kawabori, Masashi, Upshaw, Jenica N., Vest, Amanda, DeNofrio, David, Kiernan, Michael, S.
Publikováno v:
In JHLT Open May 2024 4
Autor:
Piña, Pamela, Lorenzatti, Daniel, Castagna, Francesco, Miles, Jeremy, Kuno, Toshiki, Scotti, Andrea, Arce, Javier, Feinberg, Ari, Huang, Dou, Gilman, Jake, Leiderman, Ephraim, Daich, Jonathan, Ippolito, Paul, Gongora, Carlos A., Schenone, Aldo L., Zhang, Lili, Rodriguez, Carlos J., Blaha, Michael J., Dey, Damini, Berman, Daniel S., Virani, Salim S., Levsky, Jeffrey M., Garcia, Mario J., Slipczuk, Leandro
Publikováno v:
In Journal of Clinical Lipidology May-June 2024 18(3):e403-e412
Autor:
Chen, Yuntian, Huang, Dou, Zhang, Dongxiao, Zeng, Junsheng, Wang, Nanzhe, Zhang, Haoran, Yan, Jinyue
Machine learning models have been successfully used in many scientific and engineering fields. However, it remains difficult for a model to simultaneously utilize domain knowledge and experimental observation data. The application of knowledge-based
Externí odkaz:
http://arxiv.org/abs/2012.06148
Autor:
Jia, Xiao, Zhou, Qi, Huang, Dou, Zhang, Nawei, Qu, Shasha, An, Qi, Wang, Qingshan, Ren, Jingnan, Zhang, Hongyan, Pan, Siyi, Fan, Gang
Publikováno v:
In Food Chemistry 1 January 2024 430
Akademický článek
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