Tag: explainable AI

A dual-branch deep learning framework called QICAF-Net borrows the mathematics of quantum states to fuse retinal image features, achieving competitive ...

A systematic review maps how deep learning architectures are transforming EEG analysis for neurological disease diagnosis, while warning that data ...

A new multimodal transformer-CNN model called InfoMedex predicts 168 types of drug-drug interactions from molecular structure and uses atom-level attribution ...

Researchers have built DepressNet, an interpretable stacking-ensemble machine learning framework that stratifies depression severity into five levels from DASS-42 questionnaire ...

Machine learning and SHAP explainability reveal conditional disclosure-stability patterns across seven Palestinian banks, offering supervisors an early-warning triage tool.

Researchers at Virginia Tech and NASA Ames have launched AI², a free open-source web tool that lets astrobiologists train and ...

A new explainable deep learning architecture combines pyramid spatial atrous channel attention with ResNet50V2 to detect pulmonary fibrosis on chest ...

A systematic review of 284 studies maps how AI is transforming breast cancer imaging, from CNN detection and foundation-model segmentation ...

A research team proposes a framework of explainable, uncertainty-aware prediction, biologically constrained generative design and iterative design–test–learn cycles to make ...

A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...