Towards Explainable Artificial Intelligence in Machine Learning: A study on efficient Perturbation-Based Explanations
Ismael Gómez-Talal, Mana Azizsoltani, Luis Bote-Curiel, José Luis Rojo‐Álvarez, Ashok Kr Singh · Engineering Applications of Artificial Intelligence · 2025
Partially funded by the Autonomous Community of Madrid (ELLIS Madrid Node). Also partially supported by project PID2022-140786NB-C32/AEI/10.13039/501100011033 (LATENTIA) from the Spanish Ministry of Science and Innovation, Spain. This work was supported by the CyberFold project, funded by the European Union through the NextGenerationEU instrument (Recovery, Transformation, and Resilience Plan), and managed by Instituto Nacional de Ciberseguridad de España (INCIBE) , under reference number ETD202300129.