Tag: SHAP

A new panel study of 35 African economies from 1991 to 2024 finds that the tax revenue-growth relationship flips from ...

Researchers have developed X-URL, a character-level deep learning framework that classifies malicious URLs into four threat categories with over 98 ...

Researchers in Iran combined Sentinel-2 satellite data, hybrid machine learning, and game theory to rank groundwater quality parameters, finding that ...

A seven-year study of over 9,000 Chinese adults used explainable machine learning to identify childhood adversity, pain, sleep, and family ...

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

Chinese researchers have built an interpretable FTIR spectroscopy and machine learning framework that reliably distinguishes raw, nine-steamed-and-nine-sun-dried, honey-processed, and wine-processed ...

A new framework called FLARE combines nonlinear machine learning flexibility with closed-form uncertainty estimates, statistical tests, and patient-level interaction analysis ...

Researchers in Turkey have built a leakage-aware, explainable AI framework that predicts quality risk in textile manufacturing, converts model explanations ...

Researchers built an occlusion-aware machine learning framework that predicts annual building-integrated photovoltaic facade yield across 62 cities and four climate ...

Chinese researchers developed an interpretable logistic regression model that identifies metabolic dysfunction-associated steatotic liver disease in middle-aged and older adults ...