Tree Models Explain Intrusion Detection More Faithfully Than Deep Learning
A study evaluating XAI on live honeypot telemetry found that tree-based models provide more faithful explanations for intrusion detection than ...
Tag: LIME
Post-Hoc Explanations in Network Intrusion Detection Show Limited Agreement Across Methods
A study evaluating SHAP and LIME across network intrusion detection classifiers demonstrates that post-hoc explanation agreement remains limited and does ...
Explainable AI Model Detects Myocardial Inflammation in Cardiac MRI
A new deep learning framework called Ex-CMRNet uses hybrid encoders and LIME explainability to detect myocardial inflammation in cardiac MRI ...
Carbon accounting choices shift road soil binder footprints more than binder chemistry, review finds
A systematic review of soil stabilization binder life-cycle evidence found that only three of thirty tabulated study values could be ...
AI Text Detectors Collapse When Tested on Unfamiliar Datasets, New Framework Shows
A new neural framework shows that AI-generated text detectors scoring near-perfectly on familiar benchmarks can collapse to an F1 of ...
Review Highlights Structural Mismatches in Explainable AI for Financial Time Series
A systematic literature review reveals that generic explainable artificial intelligence techniques can produce unstable and misleading explanations when applied to ...
Explainable AI Decodes Thermal Forecasting in High Temperature Data Centers
A multi-method explainable artificial intelligence study reveals how hybrid forecasting models rely on short-term residual dynamics to predict data center ...
New framework tests AI clinical tools beyond accuracy in HER2 breast cancer case study
A new five-dimension trustworthiness framework applied to HER2 breast cancer prediction shows that model rankings shift across reliability, explainability, stability, ...
Explainable AI Could Make or Break Trust in 5G and 6G Networks
A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...
Machine learning predicts HIV patients at risk of dropping out of antiretroviral care
Random Forest and XGBoost models predicted loss to follow-up among ART patients in Zimbabwe with high internal accuracy, while LIME ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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