Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Tao Yubo"'
Recently, deep learning-based tooth segmentation methods have been limited by the expensive and time-consuming processes of data collection and labeling. Achieving high-precision segmentation with limited datasets is critical. A viable solution to th
Externí odkaz:
http://arxiv.org/abs/2310.14489
Relationships in scientific data, such as the numerical and spatial distribution relations of features in univariate data, the scalar-value combinations' relations in multivariate data, and the association of volumes in time-varying and ensemble data
Externí odkaz:
http://arxiv.org/abs/2207.02565
Publikováno v:
In Visual Informatics June 2024 8(2):13-26
Cryptocurrencies return cross-predictability and technological similarity yield information on risk propagation and market segmentation. To investigate these effects, we build a time-varying network for cryptocurrencies, based on the evolution of ret
Externí odkaz:
http://arxiv.org/abs/2108.11921
This paper proposes a novel model for predicting subgraphs in dynamic graphs, an extension of traditional link prediction. This proposed end-to-end model learns a mapping from the subgraph structures in the current snapshot to the subgraph structures
Externí odkaz:
http://arxiv.org/abs/2108.07776
Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations
Datasets from field experiments with covariate-adaptive randomizations (CARs) usually contain extra covariates in addition to the strata indicators. We propose to incorporate these additional covariates via auxiliary regressions in the estimation and
Externí odkaz:
http://arxiv.org/abs/2105.14752
Publikováno v:
In International Journal of Biological Macromolecules February 2024 257 Part 1
Publikováno v:
In Journal of Materials Research and Technology November-December 2023 27:3923-3935
Publikováno v:
Journal of Visualization, (2019), 1-16
Multivariate spatial data plays an important role in computational science and engineering simulations. The potential features and hidden relationships in multivariate data can assist scientists to gain an in-depth understanding of a scientific proce
Externí odkaz:
http://arxiv.org/abs/1908.11344
Publikováno v:
Visual Informatics Volume 2, Issue 4, December 2018, Pages 254-263
In complex multivariate data sets, different features usually include diverse associations with different variables, and different variables are associated within different regions. Therefore, exploring the associations between variables and voxels l
Externí odkaz:
http://arxiv.org/abs/1908.06576