Tag: interpretable AI

Researchers have combined neutrosophic set theory with deep feature geometry to give pretrained neural networks an interpretable, three-part measure of ...

Researchers have developed a gradient boosting method that learns sparse oblique rules, producing simpler and more interpretable prediction models with ...

A new frequency-guided adaptive graph network separates financial risk contagion into energy-balanced spectral bands to predict market dynamics more accurately ...

Researchers at the University of Sassari have developed PSDFS, a feature-selection method that splits each feature into above- and below-mean ...

Researchers have developed an interpretable multitask deep learning framework, trained on density functional theory calculations, that simultaneously predicts how strongly ...

A new dual-layer knowledge graph model detects corporate financial fraud with up to 94.2 percent accuracy while providing auditors with ...

An interpretable machine learning model trained on 20 years of rural Spanish registry data outperforms logistic regression in predicting 30-day ...

Researchers at the Eastern Institute of Technology, Ningbo, developed a graph-based AI framework called GraphED that autonomously discovers interpretable constitutive ...