49 results on '"David Leake"'
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2. On Implementing Case-Based Reasoning with Large Language Models.
3. Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach.
4. Cases Are King: A User Study of Case Presentation to Explain CBR Decisions.
5. Less is Better: An Energy-Based Approach to Case Base Competence.
6. Towards Addressing Problem-Distribution Drift with Case Discovery.
7. Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.
8. Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach.
9. Case Adaptation with Neural Networks: Capabilities and Limitations.
10. Case-based Explanation: Making the Implicit Explicit.
11. Generating Counterfactual Images: Towards a C2C-VAE Approach.
12. Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.
13. Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset.
14. Evaluating CBR Explanation Capabilities: Survey and Next Steps.
15. On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval.
16. Harmonizing Case Retrieval and Adaptation with Alternating Optimization.
17. Learning Adaptations for Case-Based Classification: A Neural Network Approach.
18. Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases.
19. On Bringing Case-Based Reasoning Methodology to Deep Learning.
20. Learning to Improve Efficiency for Adaptation Paths.
21. On Combining Case Adaptation Rules.
22. CBR Confidence as a Basis for Confidence in Black Box Systems.
23. Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations.
24. Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation.
25. Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale.
26. Exploration vs. Exploitation in Case-Base Maintenance: Leveraging Competence-Based Deletion with Ghost Cases.
27. Embedded Word Representations for Rich Indexing: A Case Study for Medical Records.
28. Scaling Up Ensemble of Adaptations for Classification by Approximate Nearest Neighbor Retrieval.
29. Maintenance for Case Streams: A Streaming Approach to Competence-Based Deletion.
30. Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach.
31. Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression.
32. Case-Base Maintenance: A Streaming Approach.
33. Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents.
34. Transfer Learning via Relational Type Matching.
35. Investigating Methods and Representations for Reasoning About Social Context and Relative Social Power.
36. Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction Errors.
37. Knowledge-Based Morphological Classification of Galaxies from Vision Features.
38. On Retention of Adaptation Rules.
39. Adaptation-Guided Case Base Maintenance.
40. Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules.
41. On Deriving Adaptation Rule Confidence from the Rule Generation Process.
42. A Context-Aware Approach to Selecting Adaptations for Case-Based Reasoning.
43. Custom Accessibility-Based CCBR Question Selection by Ongoing User Classification.
44. Mining classifications from social-ecological databases.
45. How Many Cases Do You Need? Assessing and Predicting Case-Base Coverage.
46. An Ensemble Approach to Adaptation-Guided Retrieval.
47. An Ensemble Approach to Instance-Based Regression Using Stretched Neighborhoods.
48. Customizing Question Selection in Conversational Case-Based Reasoning.
49. Proceedings of the 7th International Conference on Intelligent User Interfaces, IUI 2002, San Francisco, California, USA, January 13-16, 2002
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