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Guiyong Zhang, Jiuyang Cang
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10.1037/h0026256 · 1968
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A scoring system for probability forecasts of ranked categories
10.1175/1520-0450(1969)008<0985:assfpf>2.0.co;2 · 1969
Learning with a Wasserstein loss
2015
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2016
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2016
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WILDS: a benchmark of in-the-wild distribution shifts
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On information and sufficiency
10.1214/aoms/1177729694 · 1951
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10.1371/journal.pone.0292884 · 2023
Divergence measures based on the Shannon entropy
10.1109/18.61115 · 1991
Focal loss for dense object detection
2017
Swin transformer: hierarchical vision transformer using shifted windows
2021
A ConvNet for the 2020s
2022
Regression models for ordinal data
10.1111/j.2517-6161.1980.tb01109.x · 1980
Automated real-time localized sea state estimation during navigation based on the Beaufort scale
10.1109/ojits.2025.3650057 · 2026
Evaluation metrics and statistical tests for machine learning
10.1038/s41598-024-56706-x · 2024
Distributionally robust neural networks for group shifts: on the importance of regularization for worst-case generalization
2020
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2018
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10.1007/s10044-023-01181-9 · 2023
DeiT III: revenge of the ViT
2022
A novel deep learning model for sea state classification using visual-range sea images
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Ordinal label distribution learning
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Unresolved referenced work
2019
On the nearshore significant wave height inversion from video images based on deep learning
10.3390/jmse12112003 · 2024
Wave height estimation from X-band radar data using variational mode decomposition
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SWHFormer: a vision transformer for significant wave height estimation from nautical radar images
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Weighted kappa measures for ordinal multi-class classification performance
10.1016/j.asoc.2023.110020 · 2023
No additional external references are available.