Case-Based Reasoning Research and Development

Explainability in CBR Using Case-based Reasoning for Capturing Expert Knowledge on Explanation Methods.- A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations.- How close is too close? The Role of Feature Attributions in Discovering Counterfactual Explanations.- Algorithmic Bias and Fairness in Case-Based Reasoning.- "Better" Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI).- Representation and Similarity Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.- Exploring the Effect of Recipe Representation on Critique-based Conversational Recommendation.- Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study.- Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud.- Adaptation and Analogical Reasoning Case Adaptation with Neural Networks: Capabilities andLimitations.- A Deep Learning Approach to Solving Morphological Analogies.- Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer.- Graphs and Optimisation Case-Based Learning and Reasoning Using Layered Boundary Multigraphs.- swarm optimization in small case bases for software effort estimation.- MicroCBR: Case-based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting.- GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning.- Never judge a case by its (unreliable) neighbors: Estimating Case Reliability for CBR.- CBR and Neural Networks Improving Automated Hyperparameter Optimization with Case-Based Reasoning.- A factorial study of neural network learning from differences for regression.- ase-Based Inverse Reinforcement Learning Using Temporal Coherence.- Analogy-based post-treatment of CNN image segmentations.- Case-Based Applications An Extended Case-Based Reasoning