@misc{10481/108726,
year = {2025},
month = {11},
url = {https://hdl.handle.net/10481/108726},
abstract = {Artifcial intelligence (AI) systems are increasingly adopted in high-stakes domains such as healthcare and fnance, so the demand
for transparency and interpretability has grown substantially. EXplainable AI (XAI) methods have emerged to address this
challenge, but individual techniques often ofer limited, fragmented insights. Tis paper introduces Meta-explainers, a novel
ensemble-based XAI framework that integrates multiple explanation types—specifcally relevance-based and counterfactual
methods—into unifed, multifaceted and complementary meta-explanations. Inspired by meta-classifcation principles, our
approach structures the explanation process into fve stages: generation, grouping, evaluation, aggregation, and visualization. Each
stage is designed to preserve the unique strengths of individual XAI techniques while enhancing their interpretability and
coherence when combined. Experimental results on both image (MNIST) and tabular (Breast Cancer) datasets show that Metaexplainers consistently outperform individual and state-of-the-art ensemble explanation methods in terms of explanation quality,
as measured by established metrics. Tis work paves the way toward more holistic and user-centered AI explainability with
a fexible methodology that can be extended to incorporate additional explanation paradigms.},
organization = {Programas ENIA (TSI-100927-2023-1 “IAFER")},
organization = {Ministerio de Ciencia, Innovación y Universidades (PID2023-150070NB-I00; PID2024-156434NB-I00)},
organization = {Universidad de Granada / CBUA (Open access funding)},
publisher = {John Wiley & Sons, Ltd.},
keywords = {Complementary meta-explanations},
keywords = {Explainable artifcial intelligence},
keywords = {Meta-explainers},
title = {Meta-Explainers: A Unified Ensemble Approach for Multifaceted XAI},
doi = {10.1155/int/4841666},
author = {Bello, Marilyn and Amador, Rosalís and García, María-Matilde and Bello, Rafael and Cordón García, Óscar and Herrera, Francisco},
}