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245 1 0 _aCase-Based Reasoning Research and Development
_h[electronic resource] :
_b32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings /
_cedited by Juan A. Recio-Garcia, Mauricio G. Orozco-del-Castillo, Derek Bridge.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIII, 462 p. 122 illus., 103 illus. in color.
_bonline resource.
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14775
505 0 _a -- Integrating kNN Retrieval with Inference on Graphical Models in Case-Based Reasoning. -- Updating Global Similarity Measures in Learning CBR Systems. -- Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?. -- Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation. -- Visualization of similarity models for CBR comprehension and maintenance. -- Use Case-Specific Reuse of XAI Strategies: Design and Analysis Through An Evaluation Metrics Library. -- An Empirical Analysis of User Preferences Regarding XAI metrics. -- CBR-Ren: A Case-Based Reasoning Driven Retriever-Generator Model for Hybrid Long-form Numerical Reasoning. -- A Case-based Reasoning and Explaining Model for Temporal Point Process. -- Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach. -- Ensemble Stacking Case-Based Reasoning for Regression. -- Retrieval Augmented Generation with LLMs for Explaining Business Process Models. -- The Intelligent Tutoring System AI-VT with Case-Based Reasoning and Real Time Recommender Models. -- Explaining Multiple Instances Counterfactually: User Tests of Group-Counterfactuals for XAI. -- Olaaaf: a General Adaptation Prototype. -- Identifying Missing Sensor Values in IoT Time Series Data: A Weight-Based Extension of Similarity Measures for Smart Manufacturing. -- Examining the potential of sequence patterns from EEG data as alternative case representation for seizure detection. -- Towards a Case-Based Support for Responding Emergency Calls. -- CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python. -- Experiential questioning for VQA. -- Autocompletion of Architectural Spatial Configurations using Case-Based Reasoning, Graph Clustering, and Deep Learning. -- A Case-Based Reasoning Approach to Post-Injury Training. -- Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm. -- Aligning to Human Decision-Makers in Military Medical Triage. -- Counterfactual-Based Synthetic Case Generation. -- On Implementing Case-Based Reasoning with Large Language Models. -- Using Case-Based Causal Reasoning to Provide Explainable Counterfactual Diagnosis in Personalized Sprint Training. -- Item-Specific Similarity Assessments for Explainable Depression Screening. -- CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering.
520 _aThis book constitutes the refereed proceedings of the 32nd International Conference on Case-Based Reasoning Research and Development, ICCBR 2024, held in Merida, Mexico, during July 1-4, 2024. The 29 full papers included in this book were carefully reviewed and selected from 91 submissions. They cover a wide range of CBR topics of interest both to practitioners and researchers, including: improvements to the CBR methodology itself: case representation, similarity, retrieval, adaptation, etc.; synergies with other Artificial Intelligence topics, such as Explainable AI and Large Language Models; and finally a whole catalog of applications to different domains such as health-care, education, and legislation.
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650 1 4 _aArtificial Intelligence.
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650 2 4 _aComputer Engineering and Networks.
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700 1 _aRecio-Garcia, Juan A.
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700 1 _aOrozco-del-Castillo, Mauricio G.
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