Tag: interpretable AI

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 ...

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 ...