Tag: explainable AI

A sensorized ink pen developed by Politecnico di Milano and the University of Insubria accurately detected writing difficulties in more ...

Researchers have developed CropFusionNet, an interpretable deep learning framework that forecasts wheat, barley, and maize yields across Germany with benchmark-beating ...

Researchers have developed UbiQVision, a framework that fuses explainable AI attributions from deep learning ensembles using Dempster–Shafer evidence theory to ...

Researchers have developed an explainable AI framework that combines reflective listening, large language models, and knowledge graph reasoning to support ...

Researchers have developed P2CE, a model-agnostic algorithm that generates counterfactual explanations for machine learning decisions that are both plausible and ...

A proof-of-concept study shows that differentially private, explainable AI can detect vasovagal syncope from tilt-test data with minimal accuracy loss, ...

Researchers combined kinetic Monte Carlo simulations with interpretable machine learning to predict and explain how additive manufacturing process parameters control ...

Researchers in China combined explainable machine learning with geographic terrain features to accurately predict and map devastating late-spring frost risks ...

Researchers at Leiden University have developed EDC, a framework that discovers single readable equations defining decision boundaries, rivaling black-box classifiers ...

A comprehensive review in the Journal of Translational Medicine maps how artificial intelligence is transforming pain assessment, imaging-based structural identification ...