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...

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Bibliographic Details
Other Authors: Keane, Mark T. (Editor), Wiratunga, Nirmalie (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Lecture Notes in Artificial Intelligence
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