I-SAFE is a post-hoc auditing framework that applies quantile-based and Wasserstein coherence metrics to evaluate distributional response of DTI prediction models under structural perturbations from external priors like KLIFS annotations.
A rank graduation box for safe ai.Expert systems with applications, 259:125239
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
No citing papers match the current filters.