Tag: explainable AI

A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...

A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images ...

Finnish researchers have built an explainable machine learning framework that segments B2B customers, predicts purchases with F1-scores above 0.92, and ...

A new CNN–LSTM–attention framework combines SHAP explainability and Marabou formal verification to deliver reliable, interpretable injury risk prediction from physiological ...

A new study combines graph neural networks with explainable AI to map how Laotian migrant workers in Bangkok build and ...

Three randomized field trials with over 90,000 US patients show that algorithm-assisted personalized flu risk messages modestly increase vaccination, and ...

Researchers built an explainable random survival forest model that predicts overall and cancer-specific survival in postoperative gastrointestinal stromal tumor patients, ...

A new study of Bangladesh's 2024 Feni flash flood shows that standard flood-susceptibility machine learning inflates accuracy through spatial leakage ...

A new graph-based framework translates RNA sequences into physicochemical interaction graphs, delivering interpretable subcellular localization predictions with just 2.05 million ...

Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...