Schedule at a Glance
Preconference Event (June 29, 2025)
Day 1 (June 30, 2025)
Day 2 (July 1st, 2025)
Day 3 (July 2nd, 2025)
Day 4 (July 3rd, 2025)
List of Accepted Papers
Detailed Schedule
Preconference Event (June 29, 2025)
- 9:30 Departure from conference venue (IUT of Bayonne)
- 10:20 Villa Arnaga museum visit (Kanbo / Cambo-les-Bains)
- 12:30 Ezpeleta / Espelette village stop
- 14:10 Petit train de Larrun / La Rhune (lunch possible at the summit)
- 17:00 Return to conference venue
- 18:00 DC meet-and-greet at Pub No Comment (12mn walk from conference venue)
Day 1 (June 30, 2025)
- Doctoral Consortium
- Workshops
Day 2 (July 1, 2025)
9:30 to 11:00
11:00 to 11:30am
11:30am to 13:00
13:00 to 14:00
14:00 to 15:30
15:30 to 16:00
16:00 to 16:30
16:30 to 18:00
18:00 to 21:00
Invited talk: Ralph Bergmann (Germany) / (Chair: Belen Diaz-Agudo)
EXAR: A Unified Experience-Grounded Agentic Reasoning Architecture
Coffee break
Technical session 1: LLMs and CBR
(Chair: Nirmalie Wiratunga)
Integrating Case-Based Reasoning with LLM for Expense Fraud Detection, Xiaoyu Ge and Jiao Xu
Explaining Translational Embedding Models in Recommender Systems Using Knowledge Graphs and Language Models, Mario Gonz´alez-Monge, Belen Diaz-Agudo and Juan A. Recio-Garcia
LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning, Mirko Lenz, Maximilian Hoffmann and Ralph Bergmann
Lunch
Technical session 2: Retrieve/Reuse
(Chair: Barry Smyth)
A Knowledge Representation Approach for Reasoning with Adaptation Rules, Nicolas Fran¸cois and Jean Lieber
Efficient Case Retrieval Using Dropout Similarity Highway Multigraphs, Thomas Gabel
Integration of Time Series Embedding for Efficient Retrieval in Case-Based Reasoning, Justin Weich, Alexander Schultheis, Maximilian Hoffmann and Ralph Bergmann
Poster gong show (Chair: Jean Lieber)
Coffee break
Posters (Chair: Jean Lieber)
Advanced Search Techniques for Determining Optimal Sequences of Adaptation Rules in Process-Oriented Case-Based Reasoning, Maxim Hotz, Lukas Malburg and Ralph Bergmann
Fuzzy Symbolic Reasoning for few-shot KBQA: A CBR-inspired Generative Approach, Xinyu Hu, Li Tong, Jian Yang, Lingtao Xue, Kai Huang and Gang Xiao
Clinical Decision Support for Skin Tumor Treatment: A Case-Based Reasoning Approach, Martin Kuhn, Yannik Warnecke, Daniel Preciado-Marquez, Joscha Gr¨uger, Laura Isabell Bley, Michael Storck, Carsten Weishaupt, Stephan Alexander Braun and Ralph Bergmann
Offline-to-Online: Case-Based Knowledge Distillation with Large Language Models for Reinforcement Learning, Hongzhe Liu, Quan Liu, Lan Wu, Meilong Shi and Zhiming Cui
Analysing the contribution of sequential patterns in CBR for childhood obesity prediction, Beatriz Lopez, Zsofia Prager, Abel L´opez-Bermejo and Judit Bassols
Towards Non-Programmed Robotic Manipulation of Novel Tasks using GA-driven CBR, Kent Robin Østrem Athanasios Lentzas, Ibrahim A. Hameed and Evi Zouganeli
Case-Based Reasoning with Diffusion Model for Ransomware Detection, Haofan Wang, Farah Kandah and Jarrod Hardy
Fast Locality Sensitive Hashing with Theoretical Guarantee, Zongyuan Tan, Hongya Wang, Bo Xu, Minjie Luo and Ming Du
Case-Based Reasoning in Generative Agents: Review and Prospect, Haoxi Zhan, Youlin Wu, Jian Ding, Bo Xu, Liang Yang and Hongfei Lin
Welcome reception
Day 3 (July 2, 2025)
9:30 to 11:00
11:00 to 11:30am
11:30am to 13:00
13:00 to 14:00
14:00 to 15:30
15:30 to 16:00
16:00 to 17:30
19:00 to 22:00
Invited talk: David Leake (USA) Chair: TBD
CBR Tomorrow: Cases in the Age of Generative AI
Coffee break
Technical session 3: LLMs and CBR
Chair: Kyle Martin
AlignLLM: Alignment-based Evaluation using Ensemble of LLMs-as-Judges for Q&A, Ramitha Abeyratne, Nirmalie Wiratunga, Kyle Martin, Ikechukwu Nkisi-Orji and Lasal Jayawardena
LLM-Driven Case-Base Populating for Structuring and Integrating Restoration Experiences, Fethi Ghazouani, Franco Giustozzi and Florence Le Ber
Context Driven Multi-Query Resolution using LLM-RAG to support the Revision of Explainability needs, Lasal Jayawardena, Anne Liret, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji and Bruno Fleisch
Lunch / PC meeting
Technical session 4: Deep Learning
Chair: TBD
Case-Based Activity Detection from Segmented Internet of Things Data, Ronny Seiger, Alexander Schultheis and Ralph Bergmann
Learning Case Features with Proxy-Guided Deep Neural Networks, Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake and David Crandall
Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification, Zachary Wilkerson, David Leake, David Crandall and Benjamin Wilkerson
Coffee break
Technical session 5: Applications
Chair: TBD
Case-based Causal Reasoning for Elite Sport Training, Dandan Cui, Jianwei Guo, Ping Liu, Xiangning Zhang and Weijie Liu
Representing expert reasoning experience by process cases — Application to the delimitation of mobile genetic elements in bacterial chromosomes, Toufik Hamadouche, G´erard Gu´edon, Nathalie Leblond-Bourget, Jean Lieber and Thibaud Limbach
Two-Agent Case-Based Reasoning for Prediction, Pierre-Alexandre Murena
Gala dinner
Day 4 (July 3, 2025)
9:30 to 11:00
11:00 to 11:30am
11:30am to 13:00
13:00 to 14:00
14:00 to 15:30
15:30 to 16:00
16:00 to 16:30
Invited talk: Claire Gardent (USA) Chair: TBD
Case-Based Reasoning and Retrieval Augmented
Generation
Coffee break
Technical session 6: XAI and CBR
Chair: Antonio Sanchez-Ruiz
Evaluating Objective Metrics for Time Series Model Explainability, Jesus Darias, Belen Diaz-Agudo and Juan A. Recio-Garcia
Explainable sleep-wake recognition using a twin XCBR system with prototypes to improve retrieval efficiency, Sophia Sylvester, Kerstin Bach and H˚avard Kallestad
Utilizing the Structure of Process Models for Guided Generation of Explanatory Texts, Tolga Tel and Mirjam Minor
Lunch
Technical session 7: Applications
Chair: Kerstin Bach
CBRinR Multitask Multiomics Case-based Reasoning in Bioinformatics, Isabelle Bichindaritz, Landon Berrios and Mayur Desai
A Framework for Supporting the Iterative Design of CBR Applications, Guillermo Jimenez-Diaz, Mirko Lenz, Lukas Malburg, Belen Diaz-Agudo and Ralph Bergmann
Visual Question Answering to Generate Case-Based Explanations for Image Classification, Angel Bastardo-Rojas and Marta Caro-Mart´ınez
Coffee break
Community meeting
Accepted Papers
CBR and Generative AI Synergies
AlignLLM: Alignment-based Evaluation using Ensemble of
LLMs-as-Judges for Q&A, Ramitha Abeyratne, Nirmalie Wiratunga, Kyle Martin, Ikechukwu Nkisi-Orji and Lasal Jayawardena
Visual Question Answering to Generate Case-Based Explanations for Image Classification, Angel Bastardo-Rojas and Marta Caro-Martınez
Integrating Case-Based Reasoning with LLM for Expense Fraud Detection, Xiaoyu Ge and Jiao Xu
LLM-Driven Case-Base Populating for Structuring and Integrating
Restoration Experiences, Fethi Ghazouani, Franco Giustozzi and Florence Le Ber
Explaining Translational Embedding Models in Recommender Systems Using Knowledge Graphs and Language Models, Mario Gonzalez-Monge, Belen Diaz-Agudo and Juan A. Recio-Garcia
Fuzzy Symbolic Reasoning for few-shot KBQA: A CBR-inspired
Generative Approach, Xinyu Hu, Li Tong, Jian Yang, Lingtao Xue, Kai Huang and Gang Xiao
Context Driven Multi-Query Resolution using LLM-RAG to support
the Revision of Explainability needs, Lasal Jayawardena, Anne Liret, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji and Bruno Fleisch
LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning, Mirko Lenz, Maximilian Hoffmann and Ralph Bergmann
Offline-to-Online: Case-Based Knowledge Distillation with Large
Language Models for Reinforcement Learning, Hongzhe Liu, Quan Liu, Lan Wu, Meilong Shi and Zhiming Cui
Utilizing the Structure of Process Models for Guided Generation of
Explanatory Texts, Tolga Tel and Mirjam Minor
Case-Based Reasoning in Generative Agents: Review and Prospect, Haoxi Zhan, Youlin Wu, Jian Ding, Bo Xu, Liang Yang and Hongfei
Lin
Theoretical or Methodological CBR Research
Evaluating Objective Metrics for Time Series Model Explainability, Jesus Darias, Belen Diaz-Agudo and Juan A. Recio-Garcia
A Knowledge Representation Approach for Reasoning with Adaptation Rules, Nicolas Fran¸cois and Jean Lieber
Efficient Case Retrieval Using Dropout Similarity Highway Multigraphs, Thomas Gabel
Advanced Search Techniques for Determining Optimal Sequences of Adaptation Rules in Process-Oriented Case-Based Reasoning, Maxim Hotz, Lukas Malburg and Ralph Bergmann
A Framework for Supporting the Iterative Design of CBR Applications, Guillermo Jimenez-Diaz, Mirko Lenz, Lukas Malburg, Belen Diaz-Agudo and Ralph Bergmann
Two-Agent Case-Based Reasoning for Prediction, Pierre-Alexandre Murena
Towards Non-Programmed Robotic Manipulation of Novel Tasks using GA-driven CBR, Kent Robin Østrem Athanasios Lentzas, Ibrahim A. Hameed and Evi Zouganeli
Fast Locality Sensitive Hashing with Theoretical Guarantee, Zongyuan Tan, Hongya Wang, Bo Xu, Minjie Luo and Ming Du
Learning CaseØstrem Features with Proxy-Guided Deep Neural Networks, Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake and David Crandall
Integration of Time Series Embedding for Efficient Retrieval in
Case-Based Reasoning, Justin Weich, Alexander Schultheis, Maximilian Hoffmann and Ralph Bergmann
Extracting Features with Deep Learning for Ensemble-Driven
Case-Based Classification, Zachary Wilkerson, David Leake, David Crandall and Benjamin Wilkerson
Applied CBR Research
CBRinR Multitask Multiomics Case-based Reasoning in Bioinformatics, Isabelle Bichindaritz, Landon Berrios and Mayur Desai
Case-based Causal Reasoning for Elite Sport Training, Dandan Cui, Jianwei Guo, Ping Liu, Xiangning Zhang and Weijie Liu
Representing expert reasoning experience by process cases —
Application to the delimitation of mobile genetic elements in bacterial chromosomes, Toufik Hamadouche, Gerard Guedon, Nathalie Leblond-Bourget, Jean Lieber and Thibaud Limbach
Clinical Decision Support for Skin Tumor Treatment: A Case-Based
Reasoning Approach, Martin Kuhn, Yannik Warnecke, Daniel Preciado-Marquez, Joscha Gruger, Laura Isabell Bley, Michael Storck, Carsten Weishaupt, Stephan Alexander Braun and Ralph Bergmann
Analysing the contribution of sequential patterns in CBR for childhood obesity prediction, Beatriz Lopez, Zsofia Prager, Abel Lopez-Bermejo and Judit Bassols
Case-Based Activity Detection from Segmented Internet of Things Data, Ronny Seiger, Alexander Schultheis and Ralph Bergmann
Explainable sleep-wake recognition using a twin XCBR system with
prototypes to improve retrieval efficiency, Sophia Sylvester, Kerstin Bach and H˚avard Kallestad
Case-Based Reasoning with Diffusion Model for Ransomware Detection, Haofan Wang, Farah Kandah and Jarrod Hardy
Invited Speakers
Workshop Program
Details about the workshops, including schedules and topics, will be posted here.
Doctoral Consortium Program
Information about the doctoral consortium schedule and participants will be available here.