David Leake

According to our database, David Leake authored at least 45 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Less is Better: An Energy-Based Approach to Case Base Competence.

Esteban Marquer, Fadi Badra, Marie-Jeanne Lesot, Miguel Couceiro, David Leake

Proceedings of the Workshops at the 31st International Conference on Case-Based Reasoning (ICCBR-WS 2023) co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2023), 2023

Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.

David Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2023

Towards Addressing Problem-Distribution Drift with Case Discovery.

David Leake, Brian Schack

Proceedings of the Case-Based Reasoning Research and Development, 2023

Cases Are King: A User Study of Case Presentation to Explain CBR Decisions.

Lawrence Gates, David Leake, Kaitlynne Wilkerson

Proceedings of the Case-Based Reasoning Research and Development, 2023

2022

Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach.

Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

Generating Counterfactual Images: Towards a C2C-VAE Approach.

Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

Case Adaptation with Neural Networks: Capabilities and Limitations.

Xiaomeng Ye, David Leake, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2022

Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset.

Zachary Wilkerson, David Leake, David Crandall

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.

David Leake, Zachary Wilkerson, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2022

Case-based Explanation: Making the Implicit Explicit.

David Leake

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

2021

Learning Adaptations for Case-Based Classification: A Neural Network Approach.

Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2021

On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval.

Zachary Wilkerson, David Leake, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2021

Harmonizing Case Retrieval and Adaptation with Alternating Optimization.

David Leake, Xiaomeng Ye

Proceedings of the Case-Based Reasoning Research and Development, 2021

Evaluating CBR Explanation Capabilities: Survey and Next Steps.

Lawrence Gates, David Leake

Proceedings of the Workshops Proceedings for the 29th International Conference on Case-Based Reasoning co-located with the 29th International Conference on Case-Based Reasoning (ICCBR 2021), 2021

Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation.

David Leake, Xiaomeng Ye, David J. Crandall

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases.

Xiaomeng Ye, David Leake, William Huibregtse, Mehmet M. Dalkilic

Proceedings of the Case-Based Reasoning Research and Development, 2020

Learning to Improve Efficiency for Adaptation Paths.

David Leake, Xiaomeng Ye

Proceedings of the Case-Based Reasoning Research and Development, 2020

On Bringing Case-Based Reasoning Methodology to Deep Learning.

David Leake, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2020

2019

Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations.

Katherine Metcalf, David Leake

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On Combining Case Adaptation Rules.

David Leake, Xiaomeng Ye

Proceedings of the Case-Based Reasoning Research and Development, 2019

CBR Confidence as a Basis for Confidence in Black Box Systems.

Lawrence Gates, Caleb Kisby, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2019

2018

Embedded Word Representations for Rich Indexing: A Case Study for Medical Records.

Katherine Metcalf, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2018

Exploration vs. Exploitation in Case-Base Maintenance: Leveraging Competence-Based Deletion with Ghost Cases.

David Leake, Brian Schack

Proceedings of the Case-Based Reasoning Research and Development, 2018

Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale.

Vahid Jalali, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2018

2017

Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach.

Vahid Jalali, David Leake, Najmeh Forouzandehmehr

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Maintenance for Case Streams: A Streaming Approach to Competence-Based Deletion.

Yang Zhang, Su Zhang, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2017

Scaling Up Ensemble of Adaptations for Classification by Approximate Nearest Neighbor Retrieval.

Vahid Jalali, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2017

Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction Errors.

Katherine Metcalf, David Leake

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Knowledge-Based Morphological Classification of Galaxies from Vision Features.

Devendra Singh Dhami, David Leake, Sriraam Natarajan

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Case-Base Maintenance: A Streaming Approach.

Yang Zhang, Su Zhang, David Leake

Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression.

David Leake, Brian Schack

Proceedings of the Case-Based Reasoning Research and Development, 2016

2015

Transfer Learning via Relational Type Matching.

Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents.

David Leake, Brian Schack

Proceedings of the Case-Based Reasoning Research and Development, 2015

Investigating Methods and Representations for Reasoning About Social Context and Relative Social Power.

Katherine Metcalf, David Leake

Proceedings of the Modeling and Using Context, 2015

2014

On Retention of Adaptation Rules.

Vahid Jalali, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2014

An Ensemble Approach to Adaptation-Guided Retrieval.

Vahid Jalali, David Leake

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Adaptation-Guided Case Base Maintenance.

Vahid Jalali, David Leake

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules.

Vahid Jalali, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2013

On Deriving Adaptation Rule Confidence from the Rule Generation Process.

Vahid Jalali, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2013

An Ensemble Approach to Instance-Based Regression Using Stretched Neighborhoods.

Vahid Jalali, David Leake

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

A Context-Aware Approach to Selecting Adaptations for Case-Based Reasoning.

Vahid Jalali, David Leake

Proceedings of the Modeling and Using Context, 2013

2012

Custom Accessibility-Based CCBR Question Selection by Ongoing User Classification.

Vahid Jalali, David Leake

Proceedings of the Case-Based Reasoning Research and Development, 2012

Customizing Question Selection in Conversational Case-Based Reasoning.

Vahid Jalali, David Leake

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Mining classifications from social-ecological databases.

Scott Jensen, Miao Chen, Xiaozhong Liu, Beth Plale, David Leake

Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

2011

How Many Cases Do You Need? Assessing and Predicting Case-Base Coverage.

David Leake, Mark Wilson

Proceedings of the Case-Based Reasoning Research and Development, 2011