Case-Based Reasoning Research and Development: 33rd International Conference, ICCBR 2025, Biarritz, France, June 30July 3, 2025, Proceedings [Minkštas viršelis]

.- 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 CaseŲstrem 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.