Titlebook: Case-Based Reasoning Research and Development; 32nd International C Juan A. Recio-Garcia,Mauricio G. Orozco-del-Castil Conference proceedin

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https://doi.org/10.1007/978-0-8176-4795-7xplanations, these metrics may not always be fully representative of the quality perceived by end-users. We present an empirical investigation through an online evaluation that gathers data on user preferences regarding explanations generated by three categories of explainers applied to image classi

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https://doi.org/10.1007/978-3-031-63646-2Computer Science; Informatics; Conference Proceedings; Research; Applications; Artificial Intelligence; Ca

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242036.jpg

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,Integrating kNN Retrieval with?Inference on?Graphical Models in?Case-Based Reasoning, kNN retrieval (on the problem description) is followed by a further retrieval step based on MRF inference, and we discuss the promising results we have obtained in two different setting: using manually-engineered adaptation rules and adopting an automatic learning strategies for such rules.

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,Use Case-Specific Reuse of?XAI Strategies: Design and?Analysis Through an?Evaluation Metrics Librarive reuse approaches, consisting of various methods to assist design users in adapting their solutions to specific use cases and end users. We have validated the applicability of the resulting solutions and introduced an evaluation metrics library designed to assess explanation strategies. Using thi

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Sachin Kumar Singh,Mainejar Yadav kNN retrieval (on the problem description) is followed by a further retrieval step based on MRF inference, and we discuss the promising results we have obtained in two different setting: using manually-engineered adaptation rules and adopting an automatic learning strategies for such rules.

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Juan A. Recio-Garcia,Mauricio G. Orozco-del-Castil