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Case-Based Reasoning Research and Development

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Cover of 'Case-Based Reasoning Research and Development'

Table of Contents

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    Book Overview
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    Chapter 1 Using Case-Based Reasoning for Capturing Expert Knowledge on Explanation Methods
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    Chapter 2 A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
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    Chapter 3 How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations
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    Chapter 4 Algorithmic Bias and Fairness in Case-Based Reasoning
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    Chapter 5 “Better” Counterfactuals, Ones People Can Understand: Psychologically-Plausible Case-Based Counterfactuals Using Categorical Features for Explainable AI (XAI)
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    Chapter 6 Extracting Case Indices from Convolutional Neural Networks: A Comparative Study
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    Chapter 7 Exploring the Effect of Recipe Representation on Critique-Based Conversational Recommendation
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    Chapter 8 Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study
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    Chapter 9 Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud
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    Chapter 10 Case Adaptation with Neural Networks: Capabilities and Limitations
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    Chapter 11 A Deep Learning Approach to Solving Morphological Analogies
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    Chapter 12 Theoretical and Experimental Study of a Complexity Measure for Analogical Transfer
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    Chapter 13 Case-Based Learning and Reasoning Using Layered Boundary Multigraphs
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    Chapter 14 Particle Swarm Optimization in Small Case Bases for Software Effort Estimation
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    Chapter 15 MicroCBR: Case-Based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting
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    Chapter 16 GPU-Based Graph Matching for Accelerating Similarity Assessment in Process-Oriented Case-Based Reasoning
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    Chapter 17 Never Judge a Case by Its (Unreliable) Neighbors: Estimating Case Reliability for CBR
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    Chapter 18 Improving Automated Hyperparameter Optimization with Case-Based Reasoning
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    Chapter 19 A Factorial Study of Neural Network Learning from Differences for Regression
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    Chapter 20 Case-Based Inverse Reinforcement Learning Using Temporal Coherence
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    Chapter 21 Analogy-Based Post-treatment of CNN Image Segmentations
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    Chapter 22 An Extended Case-Based Approach to Race-Time Prediction for Recreational Marathon Runners
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    Chapter 23 A Case-Based Reasoning Approach to Plugin Parameter Selection in Vocal Audio Production
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    Chapter 24 Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k -NN for Data Augmentation, with Prefactual Explanations for XAI
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    Chapter 25 A Case-Based Approach for Content Planning in Data-to-Text Generation
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    Chapter 26 The Use of Computer-Assisted Case-Based Reasoning to Support Clinical Decision-Making – A Scoping Review
Attention for Chapter 24: Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k -NN for Data Augmentation, with Prefactual Explanations for XAI
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Chapter title
Forecasting for Sustainable Dairy Produce: Enhanced Long-Term, Milk-Supply Forecasting Using k -NN for Data Augmentation, with Prefactual Explanations for XAI
Chapter number 24
Book title
Case-Based Reasoning Research and Development
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-14923-8_24
Book ISBNs
978-3-03-114922-1, 978-3-03-114923-8
Authors

Delaney, Eoin, Greene, Derek, Shalloo, Laurence, Lynch, Michael, Keane, Mark T.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Unspecified 1 13%
Other 1 13%
Student > Doctoral Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Unspecified 1 13%
Computer Science 1 13%
Social Sciences 1 13%
Unknown 3 38%