Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning
收藏DataCite Commons2025-07-02 更新2025-09-08 收录
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https://springernature.figshare.com/articles/dataset/Mitigating_data_bias_and_ensuring_reliable_evaluation_of_AI_models_with_shortcut_hull_learning/28794407/1
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资源简介：
This repository contains supporting materials for the paper
"Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning".
It includes:
- Topological datasets used in our experiments
- Pretrained model weights trained on this dataset
- Code for Topological Dataset and Shortcut Hull Learning
These resources are provided to support reproducibility and facilitate further research.
For usage instructions, please refer to the accompanying code repository or the original publication.
提供机构：
figshare
创建时间：
2025-07-02
