Tag: explainable AI

A lean XAI framework combining SHAP, SHAPTime, and rolling-origin validation delivers stable, horizon-aware explanations for supply-chain demand forecasts on the ...

Researchers used SHAP-based explainable AI to identify a single EEG electrode and just seven features that detect virtual reality motion ...

Researchers combined deep learning, grey wolf optimization, explainable heatmaps and a Gemini-powered chatbot to detect finger millet diseases with 98.36 ...

Researchers at Amrita Vishwa Vidyapeetham built an explainable machine learning framework that predicts student dropout risk from academic, financial, health, ...

An explainable machine learning study of PISA 2022 data finds that digital learning capacity, mathematics anxiety, and their interaction best ...

A new explainable transformer that combines frequency-domain analysis and topology-aware structural modeling achieves 97.86 percent accuracy in classifying eight retinal ...

Researchers in Naples have developed EDOKS, a transparent image similarity metric that combines Earth Mover's Distance texture analysis with Oklab ...

A new inferential framework tests whether entire groups of predictors significantly shape machine learning predictions, revealing that market conditions and ...

Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal Concept Analysis to ...

A unified framework combining federated learning, differential privacy and explainable AI tackles drift, fairness and privacy in credit scoring, revealing ...