Evaluating Explanations. - David B. Leake (AAAI, 1988)

Creativity and Learning in a Case-Based Explainer. - Roger C. Schank; David B. Leake (Artif. Intell., 1989)

An Indexing Vocabulary for Case-Based Explanation. - David B. Leake (AAAI, 1991)

Goal-Based Explanation Evaluation. - David B. Leake (Cogn. Sci., 1991)

Focusing Construction and Selection of Abductive Hypotheses. - David B. Leake (IJCAI, 1993)

Goal-Driven Learning: Fundamental Issues: A Symposium Report. - David B. Leake; Ashwin Ram 001 (AI Mag., 1993)

Introspective Reasoning in a Case-Based Planner. - Susan Fox; David B. Leake (AAAI, 1994)

Towards Situated Explanation. - Raja Sooriamurthi; David B. Leake (AAAI, 1994)

Case-based reasoning. - David B. Leake (Knowl. Eng. Rev., 1994)

Learning to Refine Indexing by Introspective Reasoning. - Susan Fox; David B. Leake (ICCBR, 1995)

Learning to Improve Case Adaption by Introspective Reasoning and CBR. - David B. Leake; Andrew Kinley; David C. Wilson (ICCBR, 1995)

Using Introspective Reasoning to Refine Indexing. - Susan Fox; David B. Leake (IJCAI, 1995)

Learning, Goals, and Learning Goals: A Perspective on Goal-Driven Learning. - David B. Leake; Ashwin Ram 001 (Artif. Intell. Rev., 1995)

Abduction, experience, and goals: a model of everyday abductive explanation. - David B. Leake (J. Exp. Theor. Artif. Intell., 1995)

Acquiring Case Adaptation Knowledge: A Hybrid Approach. - David B. Leake; Andrew Kinley; David C. Wilson (AAAI/IAAI, Vol. 1, 1996)

Experience, introspection and expertise: Learning to refine the case-based reasoning process. - David B. Leake (J. Exp. Theor. Artif. Intell., 1996)

Case-Based Similarity Assessment: Estimating Adaptability from Experience. - David B. Leake; Andrew Kinley; David C. Wilson (AAAI/IAAI, 1997)

A Case Study of Case-Based CBR. - David B. Leake; Andrew Kinley; David C. Wilson (ICCBR, 1997)

Learning to Integrate Multiple Knowledge Sources for Case-Based Reasoning. - David B. Leake; Andrew Kinley; David C. Wilson (IJCAI (1), 1997)

Categorizing Case-Base Maintenance: Dimensions and Directions. - David B. Leake; David C. Wilson (EWCBR, 1998)

Integrating Information Resources: A Case Study of Engineering Design Support. - David B. Leake; Lawrence Birnbaum; Kristian J. Hammond; Cameron Marlow; Hao Yang (ICCBR, 1999)

Combining CBR with Interactive Knowledge Acquisition, Manipulation and Reuse. - David B. Leake; David C. Wilson (ICCBR, 1999)

When Experience Is Wrong: Examining CBR for Changing Tasks and Environments. - David B. Leake; David C. Wilson (ICCBR, 1999)

Constructing and Transforming CBR Implementations: Techniques for Corporate Memory Management. - Arijit Sengupta; David C. Wilson; David B. Leake (ICCBR Workshops, 1999)

Remembering Why to Remember: Performance-Guided Case-Base Maintenance. - David B. Leake; David C. Wilson (EWCBR, 2000)

Real Time User Context Modeling for Information Retrieval Agents. - Travis Bauer; David B. Leake (CIKM, 2001)

WordSieve: A Method for Real-Time Context Extraction. - Travis Bauer; David B. Leake (CONTEXT, 2001)

Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling. - Alberto J. Cañas; David B. Leake; Ana Gabriela Maguitman (FLAIRS, 2001)

When Two Case Bases Are Better than One: Exploiting Multiple Case Bases. - David B. Leake; Raja Sooriamurthi (ICCBR, 2001)

An integrated interface for proactive, experience-based design support. - David B. Leake; Lawrence Birnbaum; Kristian J. Hammond; Cameron Marlow; Hao Yang (IUI, 2001)

Towards context-based search engine selection. - David B. Leake; Ryan Scherle (IUI, 2001)

A Case-Based Framework for Interactive Capture and Reuse of Design Knowledge. - David B. Leake; David C. Wilson (Appl. Intell., 2001)

Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems. - David B. Leake; Barry Smyth; David C. Wilson; Qiang Yang 001 (Comput. Intell., 2001)

Maintaining Cased-Based Reasoners: Dimensions and Directions. - David C. Wilson; David B. Leake (Comput. Intell., 2001)

Introspective reasoning for index refinement in case-based reasoning. - Susan Fox; David B. Leake (J. Exp. Theor. Artif. Intell., 2001)

Handling Complex Information Environments: A Multi-Agent Framework. - Travis Bauer; David B. Leake (AOIS@AAMAS, 2002)

Personalized CBR-Challenges and Illustrations. - David B. Leake (ECCBR Workshops, 2002)

Automatically Selecting Strategies for Multi-Case-Base Reasoning. - David B. Leake; Raja Sooriamurthi (ECCBR, 2002)

Assessing Conceptual Similarity to Support Concept Mapping. - David B. Leake; Ana Gabriela Maguitman; Alberto J. Cañas (FLAIRS, 2002)

Managing Multiple Case Bases: Dimensions and Issues. - David B. Leake; Raja Sooriamurthi (FLAIRS, 2002)

Exploiting information access patterns for context-based retrieval. - Travis Bauer; David B. Leake (IUI, 2002)

Using Document Access Sequences to Recommend Customized Information. - Travis Bauer; David B. Leake (IEEE Intell. Syst., 2002)

Topic Extraction and Extension to Support Concept Mapping. - David B. Leake; Ana Gabriela Maguitman; Thomas Reichherzer (FLAIRS, 2003)

Dispatching Cases versus Merging Case-Bases: When MCBR Matters. - David B. Leake; Raja Sooriamurthi (FLAIRS, 2003)

Human-Centered CBR: Integrating Case-Based Reasoning with Knowledge Construction and Extension. - David B. Leake (ICCBR, 2003)

Aiding knowledge capture by searching for extensions of knowledge models. - David B. Leake; Ana Gabriela Maguitman; Thomas Reichherzer; Alberto J. Cañas; Marco M. Carvalho; Marco Arguedas; Sofia Brenes; Thomas C. Eskridge (K-CAP, 2003)

Editorial. - David B. Leake (AI Mag., 2003)

Detecting context-differentiating terms using competitive learning. - Travis Bauer; David B. Leake (SIGIR Forum, 2003)

Dynamic extraction topic descriptors and discriminators: towards automatic context-based topic search. - Ana Gabriela Maguitman; David B. Leake; Thomas Reichherzer; Filippo Menczer (CIKM, 2004)

Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions. - Steven Bogaerts; David B. Leake (ECCBR, 2004)

A Web based Conversational Case-Based Recommender System for Ontology aided Metadata Discovery. - Mehmet S. Aktas; Marlon E. Pierce; Geoffrey C. Fox; David B. Leake (GRID, 2004)

The Seventh International Conference on Intelligent User Interfaces (IUI-2003). - David B. Leake (AI Mag., 2004)

Case dispatching versus case-base merging: when MCBR matters. - David B. Leake; Raja Sooriamurthi (Int. J. Artif. Intell. Tools, 2004)

Exploiting Rich Context: An Incremental Approach to Context-Based Web Search. - David B. Leake; Ana Gabriela Maguitman; Thomas Reichherzer (CONTEXT, 2005)

Increasing AI Project Effectiveness with Reusable Code Frameworks: A Case Study Using IUCBRF. - Steven Bogaerts; David B. Leake (FLAIRS, 2005)

Using Cases to Support Divergent Roles in Distributed Collaboration. - David B. Leake; Steven Bogaerts; Michael Evans; Rick McMullen; Michael Oder; Alejandro Valerio (FLAIRS, 2005)

Preface. - Stefan Schulz 004; David B. Leake; Thomas Roth-Berghofer (MRC@IJCAI, 2005)

Suggesting novel but related topics: towards context-based support for knowledge model extension. - Ana Gabriela Maguitman; David B. Leake; Thomas Reichherzer (IUI, 2005)

Happy Anniversary, AAAI and AI Magazine! - David B. Leake (AI Mag., 2005)

Introduction to the Special Issue on Explanation in Case-Based Reasoning. - David B. Leake; David McSherry (Artif. Intell. Rev., 2005)

Retrieval, reuse, revision and retention in case-based reasoning. - Ramón López de Mántaras; David McSherry; Derek G. Bridge; David B. Leake; Barry Smyth; Susan Craw; Boi Faltings; Mary Lou Maher; Michael T. Cox; Kenneth D. Forbus; Mark T. Keane; Agnar Aamodt; et al. (Knowl. Eng. Rev., 2005)

What Evaluation Criteria Are Right for CCBR? Considering Rank Quality. - Steven Bogaerts; David B. Leake (ECCBR, 2006)

Focusing AI Students' Attention: A Framework-Based Approach to Guiding Impasse-Driven Learning. - Steven Bogaerts; David B. Leake (FLAIRS, 2006)

Cases, Context, and Comfort: Opportunities for Case-Based Reasoning in Smart Homes. - David B. Leake; Ana Gabriela Maguitman; Thomas Reichherzer (Designing Smart Homes, 2006)

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. - Wolfgang Achtner; Esma Aïmeur; Sarabjot Singh Anand; Douglas E. Appelt; Naveen Ashish; Tiffany Barnes; Joseph E. Beck; M. Bernardine Dias; Prashant Doshi; Chris Drummond; William Elazmeh; Ariel Felner; et al. (AI Mag., 2006)

Editorial Introduction. - David B. Leake (AI Mag., 2006)

Organizing Committee / Preface. - Thomas Roth-Berghofer; Stefan Schulz 004; Daniel Bahls; David B. Leake (ExaCt, 2007)

Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge. - David B. Leake; Jay H. Powell (ICCBR, 2007)

Case Provenance: The Value of Remembering Case Sources. - David B. Leake; Matthew Whitehead (ICCBR, 2007)

AAAI-07 Workshop Reports. - Sarabjot Singh Anand; Daniel Bahls; Catherina Burghart; Mark H. Burstein; Huajun Chen; John Collins; Thomas G. Dietterich; Jon Doyle; Chris Drummond; William Elazmeh; Christopher W. Geib; Judy Goldsmith; et al. (AI Mag., 2007)

Formal and Experimental Foundations of a New Rank Quality Measure. - Steven Bogaerts; David B. Leake (ECCBR, 2008)

Using Case Provenance to Propagate Feedback to Cases and Adaptations. - David B. Leake; Scott A. Dial (ECCBR, 2008)

Towards Case-Based Support for e-Science Workflow Generation by Mining Provenance. - David B. Leake; Joseph Kendall-Morwick (ECCBR, 2008)

Knowledge Planning and Learned Personalization for Web-Based Case Adaptation. - David B. Leake; Jay H. Powell (ECCBR, 2008)

Provenance and Case-Based Reasoning. - David B. Leake (FLAIRS, 2008)

Report on the 2007 Workshop on Modeling and Reasoning in Context. - Anders Kofod-Petersen; Jörg Cassens; David B. Leake; Stefan Schulz 004 (AI Mag., 2008)

AI Magazine Poster: The AI Landscape. - David B. Leake; James Gary (AI Mag., 2008)

Knowledge-Based Computation. - David B. Leake; Thomas Reichherzer (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Organizing Committee / Preface. - Thomas Roth-Berghofer; Nava Tintarev; David B. Leake (ExaCt, 2009)

Four Heads Are Better than One: Combining Suggestions for Case Adaptation. - David B. Leake; Joseph Kendall-Morwick (ICCBR, 2009)

CBR Based Workflow Composition Assistant. - Eran Chinthaka; Jaliya Ekanayake; David B. Leake; Beth Plale (SERVICES I, 2009)

Organizing Committee / Preface. - Thomas Roth-Berghofer; Nava Tintarev; David B. Leake; Daniel Bahls (ExaCt, 2010)

A General Introspective Reasoning Approach to Web Search for Case Adaptation. - David B. Leake; Jay H. Powell (ICCBR, 2010)

Case-Based Reasoning Tomorrow: Provenance, the Web, and Cases in the Future of Intelligent Information Processing. - David B. Leake (IIP, 2010)

Using Introspective Reasoning to Improve CBR System Performance. - Josep Lluís Arcos; Oguz Mülâyim; David B. Leake (Metareasoning, 2011)

A Noisy 10GB Provenance Database. - You-Wei Cheah; Beth Plale; Joseph Kendall-Morwick; David B. Leake; Lavanya Ramakrishnan (Business Process Management Workshops (2), 2011)

How Many Cases Do You Need? Assessing and Predicting Case-Base Coverage. - David Leake; Mark Wilson (ICCBR, 2011)

Enhancing Case Adaptation with Introspective Reasoning and Web Mining. - David B. Leake; Jay H. Powell (IJCAI, 2011)

Mining classifications from social-ecological databases. - Scott Jensen; Miao Chen; Xiaozhong Liu; Beth Plale; David Leake (ASIST, 2012)

Generalized representation and mapping for social-ecological data: Freeing data from the database. - Scott Jensen; Beth Plale; Xiaozhong Liu; Miao Chen; David B. Leake; Julie England (eScience, 2012)

Customizing Question Selection in Conversational Case-Based Reasoning. - Vahid Jalali; David Leake (FLAIRS, 2012)

Custom Accessibility-Based CCBR Question Selection by Ongoing User Classification. - Vahid Jalali; David Leake (ICCBR, 2012)

The Diversity of AI. - David B. Leake (AI Mag., 2012)

A Context-Aware Approach to Selecting Adaptations for Case-Based Reasoning. - Vahid Jalali; David Leake (CONTEXT, 2013)

An Ensemble Approach to Instance-Based Regression Using Stretched Neighborhoods. - Vahid Jalali; David Leake (FLAIRS, 2013)

On Deriving Adaptation Rule Confidence from the Rule Generation Process. - Vahid Jalali; David Leake (ICCBR, 2013)

Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules. - Vahid Jalali; David Leake (ICCBR, 2013)

Announcing the Digital Edition of AI Magazine. - David Leake (AI Mag., 2013)

Announcing the New App for AI Magazine. - David Leake (AI Mag., 2013)

Context and Case-Based Reasoning. - David B. Leake; Vahid Jalali (Context in Computing, 2014)

Adaptation-Guided Case Base Maintenance. - Vahid Jalali; David Leake (AAAI, 2014)

An Ensemble Approach to Adaptation-Guided Retrieval. - Vahid Jalali; David Leake (FLAIRS, 2014)

On Retention of Adaptation Rules. - Vahid Jalali; David Leake (ICCBR, 2014)

Facilitating representation and retrieval of structured cases: Principles and toolkit. - Joseph Kendall-Morwick; David B. Leake (Inf. Syst., 2014)

Experience-based support for human-centered knowledge modeling. - David B. Leake; Ana Gabriela Maguitman; Thomas Reichherzer (Knowl. Based Syst., 2014)

Investigating Methods and Representations for Reasoning About Social Context and Relative Social Power. - Katherine Metcalf; David Leake (CONTEXT, 2015)

CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation. - Vahid Jalali; David B. Leake (ICCBR, 2015)

Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents. - David Leake; Brian Schack (ICCBR, 2015)

Transfer Learning via Relational Type Matching. - Raksha Kumaraswamy; Phillip Odom; Kristian Kersting; David Leake; Sriraam Natarajan (ICDM, 2015)

A Computational Method for Extracting, Representing, and Predicting Social Closeness. - Katherine Metcalf; David B. Leake (ECAI, 2016)

Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical Features. - Vahid Jalali; David B. Leake; Najmeh Forouzandehmehr (ICCBR, 2016)

Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression. - David Leake; Brian Schack (ICCBR, 2016)

Case-Base Maintenance: A Streaming Approach. - Yang Zhang; Su Zhang; David Leake (ICCBR Workshops, 2016)

After Seventeen Years and 70 Issues ... - David B. Leake (AI Mag., 2016)

Passing the Torch. - David B. Leake (AI Mag., 2016)

Enhancing case-based regression with automatically-generated ensembles of adaptations. - Vahid Jalali; David Leake (J. Intell. Inf. Syst., 2016)

Guest editors' introduction: special issue on case-based reasoning. - David B. Leake; Barry Smyth; Rosina Weber (J. Intell. Inf. Syst., 2016)

Mining for Topics to Suggest Knowledge Model Extensions. - Carlos M. Lorenzetti; Ana Gabriela Maguitman; David Leake; Filippo Menczer; Thomas Reichherzer (ACM Trans. Knowl. Discov. Data, 2016)

Knowledge-Based Morphological Classification of Galaxies from Vision Features. - Devendra Singh Dhami; David Leake; Sriraam Natarajan (AAAI Workshops, 2017)

Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction Errors. - Katherine Metcalf; David Leake (CogSci, 2017)

Scaling Up Ensemble of Adaptations for Classification by Approximate Nearest Neighbor Retrieval. - Vahid Jalali; David Leake (ICCBR, 2017)

Maintenance for Case Streams: A Streaming Approach to Competence-Based Deletion. - Yang Zhang; Su Zhang; David Leake (ICCBR, 2017)

Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach. - Vahid Jalali; David Leake; Najmeh Forouzandehmehr (IJCAI, 2017)

Learning and applying adaptation rules for categorical features: An ensemble approach. - Vahid Jalali; David Leake; Najmeh Forouzandehmehr (AI Commun., 2017)

Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale. - Vahid Jalali; David Leake (ICCBR, 2018)

Exploration vs. Exploitation in Case-Base Maintenance: Leveraging Competence-Based Deletion with Ghost Cases. - David Leake; Brian Schack (ICCBR, 2018)

Embedded Word Representations for Rich Indexing: A Case Study for Medical Records. - Katherine Metcalf; David Leake (ICCBR, 2018)

CBR Confidence as a Basis for Confidence in Black Box Systems. - Lawrence Gates; Caleb Kisby; David Leake (ICCBR, 2019)

On Combining Case Adaptation Rules. - David Leake; Xiaomeng Ye (ICCBR, 2019)

Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations. - Katherine Metcalf; David Leake (IJCAI, 2019)

On Bringing Case-Based Reasoning Methodology to Deep Learning. - David Leake; David J. Crandall (ICCBR, 2020)

Learning to Improve Efficiency for Adaptation Paths. - David Leake; Xiaomeng Ye (ICCBR, 2020)

Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases. - Xiaomeng Ye; David Leake; William Huibregtse; Mehmet M. Dalkilic (ICCBR, 2020)

Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation. - David Leake; Xiaomeng Ye; David J. Crandall (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Evaluating CBR Explanation Capabilities: Survey and Next Steps. - Lawrence Gates; David Leake (ICCBR Workshops, 2021)

Harmonizing Case Retrieval and Adaptation with Alternating Optimization. - David Leake; Xiaomeng Ye (ICCBR, 2021)

On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval. - Zachary Wilkerson; David Leake; David J. Crandall (ICCBR, 2021)

Learning Adaptations for Case-Based Classification: A Neural Network Approach. - Xiaomeng Ye; David Leake; Vahid Jalali; David J. Crandall (ICCBR, 2021)

Applying the Case Difference Heuristic to Learn Adaptations from Deep Network Features. - Xiaomeng Ye; Ziwei Zhao 003; David Leake; Xizi Wang; David J. Crandall (CoRR, 2021)

Case-based Explanation: Making the Implicit Explicit. - David Leake (ICCBR Workshops, 2022)

Extracting Case Indices from Convolutional Neural Networks: A Comparative Study. - David Leake; Zachary Wilkerson; David Crandall (ICCBR, 2022)

Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset. - Zachary Wilkerson; David Leake; David Crandall (ICCBR Workshops, 2022)

Case Adaptation with Neural Networks: Capabilities and Limitations. - Xiaomeng Ye; David Leake; David Crandall (ICCBR, 2022)

Generating Counterfactual Images: Towards a C2C-VAE Approach. - Ziwei Zhao 003; David Leake; Xiaomeng Ye; David J. Crandall (ICCBR Workshops, 2022)

Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. - Xiaomeng Ye; Ziwei Zhao 003; David Leake; David Crandall (ICCC, 2022)

Cases Are King: A User Study of Case Presentation to Explain CBR Decisions. - Lawrence Gates; David Leake; Kaitlynne Wilkerson (ICCBR, 2023)

Towards Addressing Problem-Distribution Drift with Case Discovery. - David Leake; Brian Schack (ICCBR, 2023)

Examining the Impact of Network Architecture on Extracted Feature Quality for CBR. - David Leake; Zachary Wilkerson; Vibhas Vats; Karan Acharya; David J. Crandall (ICCBR, 2023)

Less is Better: An Energy-Based Approach to Case Base Competence. - Esteban Marquer; Fadi Badra; Marie-Jeanne Lesot; Miguel Couceiro; David Leake (ICCBR Workshops, 2023)

Large Language Models Need Symbolic AI. - Kristian J. Hammond; David B. Leake (NeSy, 2023)

Enhancing Case-Based Reasoning with Neural Networks. - David Leake; Zachary Wilkerson; Xiaomeng Ye; David J. Crandall (Compendium of Neurosymbolic Artificial Intelligence, 2023)

In Memoriam: Roger C. Schank, 1946-2023. - Richard Granger; David Leake; Christopher K. Riesbeck (AI Mag., 2023)

On Implementing Case-Based Reasoning with Large Language Models. - Kaitlynne Wilkerson; David Leake (ICCBR, 2024)

Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach. - Zachary Wilkerson; David Leake; Vibhas Vats; David Crandall (ICCBR, 2024)

Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm. - Xiaomeng Ye; David Leake; Yu Wang; Ziwei Zhao 003; David Crandall (ICCBR, 2024)

Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric. - Ziwei Zhao 003; David Leake; Xiaomeng Ye; David J. Crandall (CoRR, 2024)

Levels of AI Memory - And Case-Based Ways for LLMs to Ascend Them. - Michael W. Floyd; David Leake; David H. Ménager; Ian D. Watson; Kaitlynne Wilkerson (ICCBR Workshops, 2025)

Learning Case Features with Proxy-Guided Deep Neural Networks. - Vibhas Vats; Zachary Wilkerson; Hiroki Sato; David Leake; David Crandall (ICCBR, 2025)

Case Hallucinations and Steps Toward Repair. - Kaitlynne Wilkerson; David Leake (ICCBR Workshops, 2025)

Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification. - Zachary Wilkerson; David Leake; David Crandall; Benjamin Wilkerson (ICCBR, 2025)