26 citations · 40 across the 5 of their papers we have counts for
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cs.AI2025★ 5 cited
A three-Level Framework for LLM-Enhanced eXplainable AI: From technical explanations to natural language
Marilyn Bello, Rafael Bello, Maria-Matilde García +3
The growing application of artificial intelligence in sensitive domains has intensified the demand for systems that are not only accurate but also explainable and trustworthy. Alth…
cs.LG2025
STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability
Iván Sevillano-García, Julián Luengo, Francisco Herrera
Out-of-Distribution (OOD) detection is a critical task in machine learning, particularly in safety-sensitive applications where model failures can have serious consequences. Howeve…