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Handling imbalance in class distribution when building a classifier over tabular data has been a problem of long-standing interest. One popular approach is augmenting the training dataset with synthetically generated data. While classical augmentatio
Externí odkaz:
http://arxiv.org/abs/2412.15657
The application of large-scale models in medical image segmentation demands substantial quantities of meticulously annotated data curated by experts along with high computational resources, both of which are challenges in resource-poor settings. In t
Externí odkaz:
http://arxiv.org/abs/2407.15042
Autor:
d'Souza, Annie
Publikováno v:
AAA Carolinas Go Magazine; Mar/Apr2010, Vol. 87 Issue 2, p32-33, 2p, 2 Color Photographs
