Tag: interpretable AI

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 ...

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 ...

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

In recent years, the significance of artificial intelligence (AI) in agricultural practices has surged, particularly in the realm of crop ...

In the ever-evolving realm of medical technology, the integration of artificial intelligence into diagnostic procedures continues to capture substantial interest. ...

In a groundbreaking development poised to reshape oncological care, researchers have unveiled a sophisticated machine learning model capable of predicting ...