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How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations.

, , , , , and . ICCBR, volume 13405 of Lecture Notes in Computer Science, page 33-47. Springer, (2022)

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MEx., , and . (September 2019)Workshop preface., , , , and . ICCBR Workshops, volume 2567 of CEUR Workshop Proceedings, page 6-7. CEUR-WS.org, (2019)Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud., , , , and . ICCBR, volume 13405 of Lecture Notes in Computer Science, page 125-139. Springer, (2022)CBR Driven Interactive Explainable AI., , , , , , , , , and . ICCBR, volume 14141 of Lecture Notes in Computer Science, page 169-184. Springer, (2023)Learning to Compare with Few Data for Personalised Human Activity Recognition., , and . ICCBR, volume 12311 of Lecture Notes in Computer Science, page 3-14. Springer, (2020)Counterfactual Explanations for Student Outcome Prediction with Moodle Footprints., , , , , and . SICSA XAI, volume 2894 of CEUR Workshop Proceedings, page 1-8. CEUR-WS.org, (2021)MEx: Multi-modal Exercises Dataset for Human Activity Recognition., , and . CoRR, (2019)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)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)Introducing Clood CBR: A Cloud Based CBR Framework., , , , and . ICCBR Workshops, volume 3389 of CEUR Workshop Proceedings, page 233-234. CEUR-WS.org, (2022)