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Showing results for zheng hao gan
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V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.
Han J, Zheng H, Xing Y, Chen DZ, Wang C. Han J, et al. Among authors: zheng h. IEEE Trans Vis Comput Graph. 2021 Feb;27(2):1290-1300. doi: 10.1109/TVCG.2020.3030346. Epub 2021 Jan 28. IEEE Trans Vis Comput Graph. 2021. PMID: 33074812
V2V leverages a representation learning algorithm to identify transferable variables and utilizes Kullback-Leibler divergence to determine the source and target variables. It then uses a generative adversarial network (GAN) to learn the mapping from the source variable to …
V2V leverages a representation learning algorithm to identify transferable variables and utilizes Kullback-Leibler divergence to determine t …
Urban spatial risk prediction and optimization analysis of POI based on deep learning from the perspective of an epidemic.
Zhang Y, Zhang Q, Zhao Y, Deng Y, Zheng H. Zhang Y, et al. Among authors: zheng h. Int J Appl Earth Obs Geoinf. 2022 Aug;112:102942. doi: 10.1016/j.jag.2022.102942. Epub 2022 Aug 5. Int J Appl Earth Obs Geoinf. 2022. PMID: 35945962 Free PMC article.
The weights of these spatial risk factors are used for training Generative Adversarial Network (GAN) models, which predict the distribution of cases in a given area. ...
The weights of these spatial risk factors are used for training Generative Adversarial Network (GAN) models, which predict the distri …