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 and Limitations
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 Approach to Race-Time Prediction in Recreational Marathon Runners
Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k-NN for Data Augmentation, with Prefactual Explanations for XAI
A Case-Based Approach for Content Planning in Data-to-Text Generation
The use of computer-assisted Case-Based Reasoning to support clinical decision-making a scoping review.