David Leake - RankMe

64 papers A* 6A 1B 1C 31Misc 3Journal 8Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Case Hallucinations and Steps Toward Repair. ICCBR Workshops Kaitlynne Wilkerson, David Leake
2025	A*	`conf`	EnergyCompress: A General Case Base Learning Strategy. IJCAI Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot, Miguel Couceiro, David Leake
2025	C	`conf`	Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification. ICCBR Zachary Wilkerson, David Leake, David Crandall, Benjamin Wilkerson
2025	C	`conf`	Learning Case Features with Proxy-Guided Deep Neural Networks. ICCBR Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake, David Crandall
2025	—	`conf`	Levels of AI Memory - And Case-Based Ways for LLMs to Ascend Them. ICCBR Workshops Michael W. Floyd, David Leake, David H. Ménager, Ian D. Watson, Kaitlynne Wilkerson
2025	A*	`conf`	Run Like a Neural Network, Explain Like k-Nearest Neighbor. IJCAI Xiaomeng Ye, David Leake, Yu Wang, David Crandall
2024	J	`jnl`	Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric. CoRR Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall
2024	C	`conf`	Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach. ICCBR Zachary Wilkerson, David Leake, Vibhas Vats, David Crandall
2024	C	`conf`	On Implementing Case-Based Reasoning with Large Language Models. ICCBR Kaitlynne Wilkerson, David Leake
2024	C	`conf`	Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm. ICCBR Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David Crandall
2023	C	`conf`	Cases Are King: A User Study of Case Presentation to Explain CBR Decisions. ICCBR Lawrence Gates, David Leake, Kaitlynne Wilkerson
2023	—	`ch.`	Enhancing Case-Based Reasoning with Neural Networks. Compendium of Neurosymbolic Artificial Intelligence David Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall
2023	C	`conf`	Examining the Impact of Network Architecture on Extracted Feature Quality for CBR. ICCBR David Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David J. Crandall
2023	J	`jnl`	In Memoriam: Roger C. Schank, 1946-2023. AI Mag. Richard Granger, David Leake, Christopher K. Riesbeck
2023	—	`conf`	Less is Better: An Energy-Based Approach to Case Base Competence. ICCBR Workshops Esteban Marquer, Fadi Badra, Marie-Jeanne Lesot, Miguel Couceiro, David Leake
2023	C	`conf`	Towards Addressing Problem-Distribution Drift with Case Discovery. ICCBR David Leake, Brian Schack
2022	C	`conf`	Case Adaptation with Neural Networks: Capabilities and Limitations. ICCBR Xiaomeng Ye, David Leake, David Crandall
2022	—	`conf`	Case-based Explanation: Making the Implicit Explicit. ICCBR Workshops David Leake
2022	C	`conf`	Extracting Case Indices from Convolutional Neural Networks: A Comparative Study. ICCBR David Leake, Zachary Wilkerson, David Crandall
2022	—	`conf`	Generating Counterfactual Images: Towards a C2C-VAE Approach. ICCBR Workshops Ziwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall
2022	C	`conf`	Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. ICCC Xiaomeng Ye, Ziwei Zhao, David Leake, David Crandall
2022	—	`conf`	Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset. ICCBR Workshops Zachary Wilkerson, David Leake, David Crandall
2021	J	`jnl`	Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features. CoRR Xiaomeng Ye, Ziwei Zhao, David Leake, Xizi Wang, David J. Crandall
2021	—	`conf`	Evaluating CBR Explanation Capabilities: Survey and Next Steps. ICCBR Workshops Lawrence Gates, David Leake
2021	C	`conf`	Harmonizing Case Retrieval and Adaptation with Alternating Optimization. ICCBR David Leake, Xiaomeng Ye
2021	C	`conf`	Learning Adaptations for Case-Based Classification: A Neural Network Approach. ICCBR Xiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall
2021	C	`conf`	On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval. ICCBR Zachary Wilkerson, David Leake, David J. Crandall
2021	—	`conf`	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
2020	C	`conf`	Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases. ICCBR Xiaomeng Ye, David Leake, William Huibregtse, Mehmet M. Dalkilic
2020	C	`conf`	Learning to Improve Efficiency for Adaptation Paths. ICCBR David Leake, Xiaomeng Ye
2020	C	`conf`	On Bringing Case-Based Reasoning Methodology to Deep Learning. ICCBR David Leake, David J. Crandall
2019	C	`conf`	CBR Confidence as a Basis for Confidence in Black Box Systems. ICCBR Lawrence Gates, Caleb Kisby, David Leake
2019	C	`conf`	On Combining Case Adaptation Rules. ICCBR David Leake, Xiaomeng Ye
2019	A*	`conf`	Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations. IJCAI Katherine Metcalf, David Leake
2018	C	`conf`	Embedded Word Representations for Rich Indexing: A Case Study for Medical Records. ICCBR Katherine Metcalf, David Leake
2018	C	`conf`	Exploration vs. Exploitation in Case-Base Maintenance: Leveraging Competence-Based Deletion with Ghost Cases. ICCBR David Leake, Brian Schack
2018	C	`conf`	Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale. ICCBR Vahid Jalali, David Leake
2017	—	`conf`	Knowledge-Based Morphological Classification of Galaxies from Vision Features. AAAI Workshops Devendra Singh Dhami, David Leake, Sriraam Natarajan
2017	A*	`conf`	Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach. IJCAI Vahid Jalali, David Leake, Najmeh Forouzandehmehr
2017	J	`jnl`	Learning and applying adaptation rules for categorical features: An ensemble approach. AI Commun. Vahid Jalali, David Leake, Najmeh Forouzandehmehr
2017	C	`conf`	Maintenance for Case Streams: A Streaming Approach to Competence-Based Deletion. ICCBR Yang Zhang, Su Zhang, David Leake
2017	B	`conf`	Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction Errors. CogSci Katherine Metcalf, David Leake
2017	C	`conf`	Scaling Up Ensemble of Adaptations for Classification by Approximate Nearest Neighbor Retrieval. ICCBR Vahid Jalali, David Leake
2016	C	`conf`	Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression. ICCBR David Leake, Brian Schack
2016	—	`conf`	Case-Base Maintenance: A Streaming Approach. ICCBR Workshops Yang Zhang, Su Zhang, David Leake
2016	J	`jnl`	Enhancing case-based regression with automatically-generated ensembles of adaptations. J. Intell. Inf. Syst. Vahid Jalali, David Leake
2016	J	`jnl`	Mining for Topics to Suggest Knowledge Model Extensions. ACM Trans. Knowl. Discov. Data Carlos M. Lorenzetti, Ana Gabriela Maguitman, David Leake, Filippo Menczer, Thomas Reichherzer
2015	C	`conf`	Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents. ICCBR David Leake, Brian Schack
2015	—	`conf`	Investigating Methods and Representations for Reasoning About Social Context and Relative Social Power. CONTEXT Katherine Metcalf, David Leake
2015	A*	`conf`	Transfer Learning via Relational Type Matching. ICDM Raksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan
2014	A*	`conf`	Adaptation-Guided Case Base Maintenance. AAAI Vahid Jalali, David Leake
2014	Misc	`conf`	An Ensemble Approach to Adaptation-Guided Retrieval. FLAIRS Vahid Jalali, David Leake
2014	C	`conf`	On Retention of Adaptation Rules. ICCBR Vahid Jalali, David Leake
2013	—	`conf`	A Context-Aware Approach to Selecting Adaptations for Case-Based Reasoning. CONTEXT Vahid Jalali, David Leake
2013	Misc	`conf`	An Ensemble Approach to Instance-Based Regression Using Stretched Neighborhoods. FLAIRS Vahid Jalali, David Leake
2013	J	`jnl`	Announcing the Digital Edition of AI Magazine. AI Mag. David Leake
2013	J	`jnl`	Announcing the New App for AI Magazine. AI Mag. David Leake
2013	C	`conf`	Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules. ICCBR Vahid Jalali, David Leake
2013	C	`conf`	On Deriving Adaptation Rule Confidence from the Rule Generation Process. ICCBR Vahid Jalali, David Leake
2012	C	`conf`	Custom Accessibility-Based CCBR Question Selection by Ongoing User Classification. ICCBR Vahid Jalali, David Leake
2012	Misc	`conf`	Customizing Question Selection in Conversational Case-Based Reasoning. FLAIRS Vahid Jalali, David Leake
2012	—	`conf`	Mining classifications from social-ecological databases. ASIST Scott Jensen, Miao Chen, Xiaozhong Liu, Beth Plale, David Leake
2011	C	`conf`	How Many Cases Do You Need? Assessing and Predicting Case-Base Coverage. ICCBR David Leake, Mark Wilson
2002	A	`ed.`	Proceedings of the 7th International Conference on Intelligent User Interfaces, IUI 2002, San Francisco, California, USA, January 13-16, 2002 IUI Kristian J. Hammond, Yolanda Gil, David Leake