Tag: explainable AI

A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots ...

Researchers at Banasthali Vidyapith developed an explainable machine learning system that predicts university student academic performance with an R-squared of ...

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

A new neuro-symbolic framework called Delta Semantics keeps machine learning outputs provably consistent with evolving ontologies by attaching checker-validated proof ...

An Indian research team has developed GraphX, an explainable graph transformer framework that classifies nail diseases with 94.97 percent accuracy ...

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

Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...

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

Researchers have unveiled an explainable deep learning framework that detects insect crop pests in real time with up to 98 ...

Researchers in India combined µEDM drilling experiments on titanium with benchmarked machine learning models, explainable AI, and a surrogate-based inverse ...