David Leake
Indiana University Bloomington
H-index: 52
North America-United States
Top articles of David Leake
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Bridging AI Paradigms with Cases and Networks | Computer Sciences & Mathematics Forum | David Leake | 2023/8/14 |
Towards Addressing Problem-Distribution Drift with Case Discovery | Case-based Reasoning Research and Development: 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17-20, 2023, Proceedings | David Leake Brian Schack | 2023 |
Enhancing Case-Based Reasoning with Neural Networks | Compendium of Neurosymbolic Artificial Intelligence | David Leake Zachary Wilkerson Xiaomeng Ye David J Crandall | 2023/8/4 |
Examining the Impact of Network Architecture on Extracted Feature Quality for CBR | David Leake Zachary Wilkerson Vibhas Vats Karan Acharya David Crandall | 2023/7/17 | |
Less is Better: An Energy-Based Approach to Case Base Competence | Esteban Marquer Fadi Badra Marie-Jeanne Lesot Miguel Couceiro David Leake | 2023/7/17 | |
Combining Case-Based Reasoning with Deep Learning: Context and Ongoing Case Feature Learning Research | David Leake Zachary Wilkerson David J Crandall | 2023/12/11 | |
Large language models need symbolic AI | Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy | Kristian Hammond David Leake | 2023/7/3 |
In Memoriam: Roger C. Schank, 1946–2023 | AI Magazine | Richard Granger David Leake Christopher K Riesbeck | 2023/10/1 |
Cases are King: A User Study of Case Presentation to Explain CBR Decisions | Lawrence Gates David Leake Kaitlynne Wilkerson | 2023/7 | |
Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset. | Zachary Wilkerson David Leake David Crandall | 2022 | |
Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. | Xiaomeng Ye Ziwei Zhao David Leake David Crandall | 2022 | |
Extracting case indices from convolutional neural networks: A comparative study | David Leake Zachary Wilkerson David Crandall | 2022/8/14 | |
Case adaptation with neural networks: Capabilities and limitations | Xiaomeng Ye David Leake David Crandall | 2022/8/14 | |
Case-based Explanation: Making the Implicit Explicit. | David Leake | 2022 | |
Generating Counterfactual Images: Towards a C2C-VAE Approach. | Ziwei Zhao David Leake Xiaomeng Ye David J Crandall | 2022 | |
On combining knowledge-engineered and network-extracted features for retrieval | Zachary Wilkerson David Leake David J Crandall | 2021 | |
Harmonizing case retrieval and adaptation with alternating optimization | David Leake Xiaomeng Ye | 2021 | |
Learning adaptations for case-based classification: A neural network approach | Xiaomeng Ye David Leake Vahid Jalali David J Crandall | 2021 | |
Applying the case difference heuristic to learn adaptations from deep network features | arXiv preprint arXiv:2107.07095 | Xiaomeng Ye Ziwei Zhao David Leake Xizi Wang David Crandall | 2021/7/15 |
Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation. | AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering | David Leake Xiaomeng Ye David J Crandall | 2021/3/22 |
Co-Authors
