15:30-17:00 Visit of the “École de Nancy” museum
17:30-19:30 DC Kickoff Mentor-student meetings DC attendees only
19:30-23:00 Restaurant and sound and light show – Place Stanislas


09:00-10:30 Workshops and DC (in parallel)
10:30-11:00 Coffee break
11:00-13:00 Workshops and DC (in parallel)
13:00-14:30 Lunch
14:30-16:30 Workshops and DC (in parallel)
16:30-17:00 Coffee break
17:00-19:00 Workshops and DC (in parallel)


09:00-09:30 Welcome
09:30-10:30 Invited talk: Xiaohong Gao (UK) / (Chair: Rosina Weber)
Deep learning and Explainable AI for medical images — seeing through black boxed from human vision model
10:30-11:00 Coffee break
11:00-13:00 Technical Session 1: Explainability in CBR
(Chair: Belén Diaz Agudo)Using Case-based Reasoning for Capturing Expert Knowledge on Explanation Methods
Jesus M. Darias, Marta Caro-Martínez, Belén Díaz-Agudo and Juan A. Recio-García

A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
Barry Smyth and Mark T. Keane

How close is too close? Role of Feature Attributions in Discovering Counterfactual Explanations
Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Chamath Palihawadana, David Corsar and Kyle Martin

Algorithmic Bias and Fairness in Case-Based Reasoning
William Blanzeisky, Barry Smyth and Padraig Cunningham

13:00-14:30 Lunch
14:30-16:00 Technical Session 2: Representation & Similarity
(Chair: Barry Smith)Extracting Case Indices from Convolutional Neural Networks: A Comparative Study
David Leake, Zachary Wilkerson and David Crandall

Exploring the Effect of Recipe Representation on Critique-based Conversational Recommendation
Fakhri Abbas, Nadia Najjar and David Wilson

Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study
Paola Marin-Veites and Kerstin Bach

16:00-16:30 Poster Gong Show (see below)
(Chair: Jean Lieber)
16:30-16:45 Coffee break
16:45-18:00 Poster session

Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer
Fadi Badra, Marie-Jeanne Lesot, Aman Barakat and Christophe Marsala

GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning
Maximilian Hoffmann, Lukas Malburg, Nico Bach and Ralph Bergmann

MicroCBR: Case-based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting
Fengrui Liu, Yang Wang, Zhenyu Li, Rui Ren, Hongtao Guan, Xian Yu, Xiaofan Chen and Gaogang Xie

A Deep Learning Approach to Solving Morphological Analogies
Esteban Marquer, Safa Alsaidi, Amandine Decker, Pierre-Alexandre Murena and Miguel Couceiro

Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud
Ikechukwu Nkisi-Orji, Chamath Palihawadana, Nirmalie Wiratunga, David Corsar and Anjana Wijekoon

The Use of Computer-Assisted Case-Based Reasoning to Support Clinical Decision-Making: A Scoping Review
Richard Noll, Jannik Schaaf and Holger Storf

Never judge a Case by Its (Unreliable) Neighbors: Estimating Case Reliability for CBR
Adwait Parsodkar, Deepak P and Sutanu Chakraborti

A Case-Based Approach for Content Planning in Data-to-Text Generation

Ashish Upadhyay and Stewart Massie

“Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI)
Greta Warren, Barry Smyth and Mark T. Keane

Case Adaptation with Neural Networks: Capabilities and Limitations
Xiaomeng Ye, David Leake and David Crandall

18:00-21:00 Dinning cocktail at LORIA


09:00-10:30 Technical Session 3: Applications
(Chair: David Leake)

An Extended Case-Based Reasoning Approach to Race-Time Prediction in Recreational Marathon Runners
Ciara Feely, Brian Caulfield, Aonghus Lawlor and Barry Smyth

A Case-Based Reasoning Approach to Plugin Parameter Selection in Vocal Audio Production
Michael Clemens, Nancy N. Blackburn, Rush Sanghrajka, Monthir Ali, Shilpa Thomas, M. Gardone, Hunter Finney and Rogelio E. Cardona-Rivera

Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI
Eoin Delaney, Derek Greene, Laurence Shalloo, Michael Lynch and Mark T. Keane

10:30-11:00 Coffee break
11:00-13:00 Technical Session 4: CBR & Neural Networks
(Chair: Mirjam Minor)

Improving Automated Hyperparameter Optimization with Case-Based Reasoning
Maximilian Hoffmann and Ralph Bergmann

A Factorial Study of Neural Network Learning from Differences for Regression
Mathieu d’Aquin, Emmanuel Nauer and Jean Lieber

Case-Based Inverse Reinforcement Learning Using Temporal Coherence
Jonas Nüßlein, Steffen Illium, Robert Müller, Thomas Gabor and Claudia Linnhoff-Popien

Analogy-based post-treatment of CNN image segmentations
Justine Duck, Romain Schaller, Frédéric Auber, Yann Chaussy, Julien Henriet, Jean Lieber, Emmanuel Nauer and Henri Prade

13:00-14:30 Lunch and PC meeting
14:30-15:30 Invited talk: Cynthia Rudin (USA; from Duke University) / (Chair: Mark Keane)
Interpretable Case-Based Neural Networks for Computer Vision:  Clinical Decisions that are Computer-Aided, not Automated
16:30-18:00 Visit of the historical city. Meeting place is on Stanislas square in front of the “Office de tourisme”.
19:00- Gala dinner at the CCI building (53 Rue Stanislas, 54000 Nancy)



09:30-10:30 Invited talk: Sutanu Chakraborti (India) / (Chair: Nirmalie Wiratunga)
Towards More Cognitively Appealing Paradigms in Case-Based Reasoning
10:30-11:00 Coffee break
11:00-12:00 Technical Session 5: Graphs & Optimisation
(Chair: Mark Keane)

Case-Based Learning and Reasoning Using Layered Boundary Multigraphs
Thomas Gabel and Fabian Sommer

Particle swarm optimization in small case bases for software effort estimation
Katharina Landeis, Gerhard Pews and Mirjam Minor

12:00-13:00 Community Meeting
13:00-14:30 Lunch


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