Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging
Tingshan Liu, Jayanta K. Dey, B. Xu, Eric Bridgeford, Samuel Alldritt, Karl‐Heinz Nenning, Kyoungseob Byeon, Ting Xu, Joshua T Vogelstein
This paper develops a framework combining Oblique Random Forests and NEOFIT for sex classification in brain imaging across species, achieving high accuracy and interpretable feature importance.
PLoS ONE · Apr 16, 2026Peer-reviewedNeuroscience