5 citations · 5 across the 3 of their papers we have counts for
3 papers
Low-cost concept-based localized explanations: How far can we get with training-free approaches?
Darian Fernández-Gutiérrez, Rafael Bello, Marilyn Bello +1
Concept-based Explainable AI (C-XAI) seeks human-understandable explanations grounded in semantic concepts, yet validation is limited by the scarcity of fine-grained concept annota…
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…
Forward Composition Propagation for Explainable Neural Reasoning
Isel Grau, Gonzalo Nápoles, Marilyn Bello +2
This paper proposes an algorithm called Forward Composition Propagation (FCP) to explain the predictions of feed-forward neural networks operating on structured classification prob…