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EXplainable AI (XAI) methods have emerged to address this challenge, but individual techniques often offer limited, fragmented insights. This paper introduces Meta\u2010explainers, a novel ensemble\u2010based XAI framework that integrates multiple explanation types\u2014specifically relevance\u2010based and counterfactual methods\u2014into unified, multifaceted and complementary meta\u2010explanations. Inspired by meta\u2010classification principles, our approach structures the explanation process into five 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 Meta\u2010explainers consistently outperform individual and state\u2010of\u2010the\u2010art ensemble explanation methods in terms of explanation quality, as measured by established metrics. This work paves the way toward more holistic and user\u2010centered AI explainability with a flexible methodology that can be extended to incorporate additional explanation paradigms.<\/jats:p>","DOI":"10.1155\/int\/4841666","type":"journal-article","created":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T09:34:16Z","timestamp":1764149656000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Meta\u2010Explainers: A Unified Ensemble Approach for Multifaceted XAI"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4540-2508","authenticated-orcid":false,"given":"Marilyn","family":"Bello","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9334-3079","authenticated-orcid":false,"given":"Rosal\u00eds","family":"Amador","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1663-5794","authenticated-orcid":false,"given":"Mar\u00eda-Matilde","family":"Garc\u00eda","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5567-2638","authenticated-orcid":false,"given":"Rafael","family":"Bello","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5112-5629","authenticated-orcid":false,"given":"\u00d3scar","family":"Cord\u00f3n","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7283-312X","authenticated-orcid":false,"given":"Francisco","family":"Herrera","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2025,11,26]]},"reference":[{"key":"e_1_2_12_1_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-13983-8"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.3390\/cancers16040700"},{"key":"e_1_2_12_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.012"},{"key":"e_1_2_12_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101805"},{"key":"e_1_2_12_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102301"},{"key":"e_1_2_12_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-023-00933-9"},{"key":"e_1_2_12_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00867-8"},{"key":"e_1_2_12_8_2","doi-asserted-by":"crossref","unstructured":"SelvarajuR. 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