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An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs., , and . ICCBR, volume 11680 of Lecture Notes in Computer Science, page 17-32. Springer, (2019)Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques., , and . Int. J. Interact. Multim. Artif. Intell., 8 (2): 202 (2023)The Current and Future Role of Visual Question Answering in eXplainable Artificial Intelligence., , , and . ICCBR Workshops, volume 3438 of CEUR Workshop Proceedings, page 172-183. CEUR-WS.org, (2023)Conceptual Modelling of Explanation Experiences Through the iSeeOnto Ontology., , , , and . ICCBR Workshops, volume 3389 of CEUR Workshop Proceedings, page 117-128. CEUR-WS.org, (2022)Using Case-Based Reasoning for Capturing Expert Knowledge on Explanation Methods., , , and . ICCBR, volume 13405 of Lecture Notes in Computer Science, page 3-17. Springer, (2022)A case base of eXplainable Artificial Intelligence of the Things (XAIoT) systems., , , and . (April 2023)A User-Centric Evaluation to Generate Case-Based Explanations Using Formal Concept Analysis., , , and . ICCBR, volume 12311 of Lecture Notes in Computer Science, page 195-210. Springer, (2020)Similar Users or Similar Items? Comparing Similarity-Based Approaches for Recommender Systems in Online Judges., and . ICCBR, volume 10339 of Lecture Notes in Computer Science, page 92-107. Springer, (2017)CBR Driven Interactive Explainable AI., , , , , , , , , and . ICCBR, volume 14141 of Lecture Notes in Computer Science, page 169-184. Springer, (2023)RACMA o cómo Dar Vida a un Mapa Mudo en el Museo de América., , and . CoSECivi, volume 1394 of CEUR Workshop Proceedings, page 80-89. CEUR-WS.org, (2015)