Case-Based Reasoning Research and Development 30th International Conference, ICCBR 2022, Nancy, France, September 12–15, 2022, Proceedings
This book constitutes the proceedings of the 30th International Conference on Case-Based Reasoning, ICCBR 2022, which took place in Nancy, France, during September 12-15, 2022. The theme of ICCBR 2022 was Global Challenges for CBR aiming to consider how CBR can and might contribute to challenges in...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2022, 2022
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Edition: | 1st ed. 2022 |
Series: | Lecture Notes in Artificial Intelligence
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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
- 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
- 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