Tag: interpretable AI

An interpretable machine learning model built from routine blood tests predicted major adverse cardiac and cerebrovascular events after cardiac surgery ...

A new unsupervised image clustering framework called SHCC builds a hierarchy of semantic labels from vision-language model outputs and resolves ...

A deep neural decision forest model fuses convolutional feature extraction with differentiable decision trees to reach 98.5 percent motion recognition ...

Researchers report a neuro-symbolic algorithm, IDB-FOIL, that learns interpretable image-labeling rules automatically without human feedback.

A study of junior high school students’ online English-learning logs found that a knowledge-map and LSTM model classified three behavioral ...

A dual-modality artificial-intelligence model that analyzed both fundus photographs and optical coherence tomography (OCT) scans reported high performance when classifying ...

An interpretable deep learning model called SPACER reads spatial transcriptomics data to reveal the molecular and spatial rules that govern ...

A dual-pathway deep learning model from Algiers predicts tuberculosis drug resistance with over 95 percent accuracy while auditing sequencing quality ...

GasGAT models smart contracts as semantic graphs and uses attention to expose inter-procedural inefficiencies that rule-based tools miss.

Researchers combined generative AI data augmentation with an intrinsically interpretable machine-learning model to predict perinatal psychological distress among Aboriginal mothers ...