1 citations · 1 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2026
Towards FAIR Astrophysical Simulations
Susanne Pfalzner, Stephan Hachinger, Jolanta Zjupa +4
Reproducibility is a cornerstone of science. FAIR (findable, accessible, interoperable, and reusable) data is often a vital step towards testing the reproducibility of results. The…
cs.LG2025★ 1 cited
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
Ata Yalcin, Asli Umay Ozturk, Yigit Sever +4
Fairness has been identified as an important aspect of Machine Learning and Artificial Intelligence solutions for decision making. Recent literature offers a variety of approaches…