zenodoopen
Robust Active Measuring under Model Uncertainty - Code
<p>Repository containing code, as well as gathered data, as used for the paper</p> <blockquote> <p>Merlijn Krale, Thiago D. Simao, Jana Tumova, Nils Jansen<br>Robust Active Measuring under Model Uncertainty<br>In AAAI, 2024.</p> </blockquote> <p>For instructions, see the readme.md file in the repository.</p> <p>All code can also be found on GitHub, at <a href="https://github.com/LAVA-LAB/RATM">https://github.com/LAVA-LAB/RATM</a>.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4