Explainable AI ensemble cracks Bitcoin price forecasting with 97.5% accuracy
Researchers have built an explainable stacked ensemble of boosting algorithms that predicts Bitcoin's short-term closing prices with 97.5 percent explained ...
Researchers have built an explainable stacked ensemble of boosting algorithms that predicts Bitcoin's short-term closing prices with 97.5 percent explained ...
A new multimodal AI framework ranks classroom features by importance with 88.6 percent prediction accuracy, identifying linguistic coherence, student engagement, ...
Researchers have built an explainable ensemble deep learning framework that fuses four transfer learning models using CMAES optimization to classify ...
A new review in Biochar argues that artificial intelligence, combined with mechanistic understanding and multi-source data, could enable precise, mechanism-guided ...
A machine learning study of three democracy indices finds that socioeconomic context variables, including renewable energy consumption, can predict democratic ...
A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...
A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...
A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...
Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...
Researchers have built a phishing detection framework that pairs a lightweight hybrid deep learning model with LIME and SHAP explanations ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine