Tag: explainable AI

Researchers have developed EBGT, an explainable machine learning framework that embeds geochemical constraints into gradient-boosted trees to identify ion-adsorption rare ...

Researchers have built a phishing detection framework that pairs a lightweight hybrid deep learning model with LIME and SHAP explanations ...

Researchers at the Vellore Institute of Technology have built NEXUS-Rec, a five-signal neural recommender that outperforms strong baselines on MovieLens ...

A new study shows that popular AI explanation methods produce nearly identical heatmaps for different class labels, and introduces CASE, ...

A compact convolutional neural network called ChromAgeNet can distinguish young from aged hematopoietic stem cells using 3D DAPI-stained microscopy images ...

Researchers have developed CausalCACTUS, a framework that generates counterfactual explanations for black-box machine learning models which simultaneously respect learned causal ...

A University of Cagliari study comparing recommendation algorithms across four educational datasets finds that the most accurate course recommenders are ...

Researchers have unveiled an Optimize-to-Optimize machine-learning workflow that uses rules distilled from 275 stable low-entropy chloride double perovskites to guide ...

A new framework published in AI & Society argues that the invisibility of whether AI outputs are computed or guessed ...

A global systematic review of 73 studies finds that artificial intelligence is highly effective at short-term coastal hazard forecasting but ...