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Case-based reasoning research and development = 33rd International Conference, ICCBR 2025, Biarritz, France, June 30-July 3, 2025 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Case-based reasoning research and development/ edited by Isabelle Bichindaritz, Beatriz López.
其他題名:	33rd International Conference, ICCBR 2025, Biarritz, France, June 30-July 3, 2025 : proceedings /
其他題名:	ICCBR 2025
其他作者:	Bichindaritz, Isabelle.
團體作者:	International Conference on Case-Based Reasoning
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xix, 486 p. :ill. (some col.), digital ;24 cm.
內容註:	Invited Talk. -- EXAR: A Unified Experience-Grounded Agentic Reasoning Architecture. -- CBR and Generative AI Synergies. -- AlignLLM: Alignment-based Evaluation using Ensemble of LLMs-as-Judges for Q&A. -- Visual Question Answering to Generate Case-Based Explanations for Image Classification. -- Integrating Case-Based Reasoning with LLM for Expense Fraud Detection. -- LLM-Driven Case-Base Populating for Structuring and Integrating Restoration Experiences. -- Explaining Translational Embedding Models in Recommender Systems Using Knowledge Graphs and Language Models. -- Fuzzy Symbolic Reasoning for few-shot KBQA: A CBR-inspired Generative Approach. -- Context Driven Multi-Query Resolution using LLM-RAG to support the Revision of Explainability needs. -- LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning. -- Offline-to-Online: Case-Based Knowledge Distillation with Large Language Models for Reinforcement Learning. -- Utilizing the Structure of Process Models for Guided Generation of Explanatory Texts. -- Case-Based Reasoning in Generative Agents: Review and Prospect. -- Theoretical or Methodological CBR Research. -- Evaluating Objective Metrics for Time Series Model Explainability. -- A Knowledge Representation Approach for Reasoning with Adaptation Rules. -- Efficient Case Retrieval Using Dropout Similarity Highway Multigraphs. -- Advanced Search Techniques for Determining Optimal Sequences of Adaptation Rules in Process-Oriented Case-Based Reasoning. -- A Framework for Supporting the Iterative Design of CBR Applications. -- Two-Agent Case-Based Reasoning for Prediction. -- Towards Non-Programmed Robotic Manipulation of Novel Tasks using GA-driven CBR. -- Fast Locality Sensitive Hashing with Theoretical Guarantee. -- Learning CaseØstrem Features with Proxy-Guided Deep Neural Networks. -- Integration of Time Series Embedding for Efficient Retrieval in Case-Based Reasoning. -- Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification. -- Applied CBR Research. -- CBRinR Multitask Multiomics Case-based Reasoning in Bioinformatics. -- Case-based Causal Reasoning for Elite Sport Training. -- Representing expert reasoning experience by process cases - Application to the delimitation of mobile genetic elements in bacterial chromosomes. -- Clinical Decision Support for Skin Tumor Treatment: A Case-Based Reasoning Approach. -- Analysing the contribution of sequential patterns in CBR for childhood obesity prediction. -- Case-Based Activity Detection from Segmented Internet of Things Data. -- Explainable sleep-wake recognition using a twin XCBR system with prototypes to improve retrieval efficiency. -- Case-Based Reasoning with Diffusion Model for Ransomware Detection.
Contained By:	Springer Nature eBook
標題:	Case-based reasoning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-96559-3
ISBN:	9783031965593

Case-based reasoning research and development = 33rd International Conference, ICCBR 2025, Biarritz, France, June 30-July 3, 2025 : proceedings /
Case-based reasoning research and development33rd International Conference, ICCBR 2025, Biarritz, France, June 30-July 3, 2025 : proceedings /[electronic resource] :ICCBR 2025edited by Isabelle Bichindaritz, Beatriz López. - Cham :Springer Nature Switzerland :2025. - xix, 486 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,156621611-3349 ;. - Lecture notes in computer science ;15662..

Invited Talk. -- EXAR: A Unified Experience-Grounded Agentic Reasoning Architecture. -- CBR and Generative AI Synergies. -- AlignLLM: Alignment-based Evaluation using Ensemble of LLMs-as-Judges for Q&A. -- Visual Question Answering to Generate Case-Based Explanations for Image Classification. -- Integrating Case-Based Reasoning with LLM for Expense Fraud Detection. -- LLM-Driven Case-Base Populating for Structuring and Integrating Restoration Experiences. -- Explaining Translational Embedding Models in Recommender Systems Using Knowledge Graphs and Language Models. -- Fuzzy Symbolic Reasoning for few-shot KBQA: A CBR-inspired Generative Approach. -- Context Driven Multi-Query Resolution using LLM-RAG to support the Revision of Explainability needs. -- LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning. -- Offline-to-Online: Case-Based Knowledge Distillation with Large Language Models for Reinforcement Learning. -- Utilizing the Structure of Process Models for Guided Generation of Explanatory Texts. -- Case-Based Reasoning in Generative Agents: Review and Prospect. -- Theoretical or Methodological CBR Research. -- Evaluating Objective Metrics for Time Series Model Explainability. -- A Knowledge Representation Approach for Reasoning with Adaptation Rules. -- Efficient Case Retrieval Using Dropout Similarity Highway Multigraphs. -- Advanced Search Techniques for Determining Optimal Sequences of Adaptation Rules in Process-Oriented Case-Based Reasoning. -- A Framework for Supporting the Iterative Design of CBR Applications. -- Two-Agent Case-Based Reasoning for Prediction. -- Towards Non-Programmed Robotic Manipulation of Novel Tasks using GA-driven CBR. -- Fast Locality Sensitive Hashing with Theoretical Guarantee. -- Learning CaseØstrem Features with Proxy-Guided Deep Neural Networks. -- Integration of Time Series Embedding for Efficient Retrieval in Case-Based Reasoning. -- Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification. -- Applied CBR Research. -- CBRinR Multitask Multiomics Case-based Reasoning in Bioinformatics. -- Case-based Causal Reasoning for Elite Sport Training. -- Representing expert reasoning experience by process cases - Application to the delimitation of mobile genetic elements in bacterial chromosomes. -- Clinical Decision Support for Skin Tumor Treatment: A Case-Based Reasoning Approach. -- Analysing the contribution of sequential patterns in CBR for childhood obesity prediction. -- Case-Based Activity Detection from Segmented Internet of Things Data. -- Explainable sleep-wake recognition using a twin XCBR system with prototypes to improve retrieval efficiency. -- Case-Based Reasoning with Diffusion Model for Ransomware Detection.

This book constitutes the refereed proceedings of the 33rd International Conference on Case-Based Reasoning Research and Development, ICCBR 2025, held in Biarritz, France, during June 30-July 3, 2025. The 30 full papers presented in this volume were carefully reviewed and selected from 81 submissions. The book also contains one invited talk in full-paper lenght. The papers are grouped into the following topical sections: Invited Talk; CBR and Generative AI Synergies; Theoretical or Methodological CBR Research; and Applied CBR Research.

ISBN: 9783031965593

Standard No.: 10.1007/978-3-031-96559-3doiSubjects--Topical Terms:

879969
Case-based reasoning
--Congresses.

LC Class. No.: Q338.8 / .I58 2025

Dewey Class. No.: 006.333

Case-based reasoning research and development = 33rd International Conference, ICCBR 2025, Biarritz, France, June 30-July 3, 2025 : proceedings /
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