Tag: LIME

A new neural framework shows that AI-generated text detectors scoring near-perfectly on familiar benchmarks can collapse to an F1 of ...

A systematic literature review reveals that generic explainable artificial intelligence techniques can produce unstable and misleading explanations when applied to ...

A multi-method explainable artificial intelligence study reveals how hybrid forecasting models rely on short-term residual dynamics to predict data center ...

A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...

Random Forest and XGBoost models predicted loss to follow-up among ART patients in Zimbabwe with high internal accuracy, while LIME ...

A hybrid TabNet and FT-Transformer model classified sports event security risk levels with 99.53% accuracy on a 40,000-record Kaggle dataset, ...

A new hybrid explainable machine learning framework combines satellite environmental data with health records to predict cardiovascular disease risk at ...

A Japanese case report describes a 7-year-old boy who developed vesicles and pigmentation on his hands after squeezing limes and ...

Researchers report a Mamba-BiLSTM framework with Granger-inspired directional causal fusion that reached 81.86 percent accuracy for multimodal depression detection on ...

A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...

Researchers report a feature-weighted, calibrated explainable AI framework that reached 91.07% accuracy on a cleaned heart disease dataset while exposing ...

A replicated field experiment in northern Bangladesh found significant lime-by-GA3 interactions for selected stevia growth and leaf nutrient measures in ...

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

A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...

A spatiotemporal attention network that reads fNIRS blood-oxygen signals while patients listen to music classifies levels of consciousness with 88.72 ...

Researchers have built a reuse-aware, package-level fault prediction model for Java applications that pairs architectural metrics with SHAP and LIME ...

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