3 citations · 4 across the 2 of their papers we have counts for
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cs.LG2021★ 1 cited
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
Marc-Andre Schulz, Bertrand Thirion, Alexandre Gramfort +2
High-quality data accumulation is now becoming ubiquitous in the health domain. There is increasing opportunity to exploit rich data from normal subjects to improve supervised esti…
cs.LG2019★ 3 cited
EMAP: Explanation by Minimal Adversarial Perturbation
Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos +1
Modern instance-based model-agnostic explanation methods (LIME, SHAP, L2X) are of great use in data-heavy industries for model diagnostics, and for end-user explanations. These met…