Tag: interpretable AI

Researchers have built a modified dual-task DenseNet121 that classifies brain tumors from MRI scans with over 99 percent accuracy while ...

Researchers have built a 10.97-million-parameter neural network that classifies brain tumors on MRI with 99.2 percent accuracy while quantifying its ...

Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...

An interpretable machine learning framework called SPACER decodes the gene-level rules that recruit or exclude immune cells in tissues, revealing ...

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 ...