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Publications with a 'David B. Leake' as author, editor, or advisor:

Provenance and Case-Based ReasoningDavid B. Leake. flairs 2008: 20
Using Document Access Sequences to Recommend Customized InformationTravis Bauer, David B. Leake. expert, 17(6):27-33, 2002. [doi]
Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge ModelingAlberto J. Cañas, David B. Leake, Ana Gabriela Maguitman. flairs 2001: 286-290
Context and Case-Based ReasoningDavid B. Leake, Vahid Jalali. In Patrick Brézillon, Avelino J. Gonzalez, editors, Context in Computing - A Cross-Disciplinary Approach for Modeling the Real World. pages 473-490, Springer, 2014. [doi]
A General Introspective Reasoning Approach to Web Search for Case AdaptationDavid B. Leake, Jay H. Powell. iccbr 2010: 186-200 [doi]
Case dispatching versus case-base merging: when MCBR mattersDavid B. Leake, Raja Sooriamurthi. ijait, 13(1):237-254, 2004. [doi]
Abduction, experience, and goals: a model of everyday abductive explanationDavid B. Leake. jetai, 7(4):407-428, 1995. [doi]
Retrieval, reuse, revision and retention in case-based reasoningRamon 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, Ian D. Watson. ker, 20(3):215-240, 2005. [doi]
Evaluating ExplanationsDavid B. Leake. AAAI 1988: 251-255
Organizing Committee / PrefaceThomas Roth-Berghofer, Nava Tintarev, David B. Leake. exact 2009:
Learning to Integrate Multiple Knowledge Sources for Case-Based ReasoningDavid B. Leake, Andrew Kinley, David C. Wilson. IJCAI 1997: 246-251
The Seventh International Conference on Intelligent User Interfaces (IUI-2003)David B. Leake. aim, 24(4):131-132, 2004.
Aiding knowledge capture by searching for extensions of knowledge modelsDavid B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer, Alberto J. Cañas, Marco M. Carvalho, Marco Arguedas, Sofia Brenes, Thomas C. Eskridge. kcap 2003: 44-53 [doi]
Towards Case-Based Support for e-Science Workflow Generation by Mining ProvenanceDavid B. Leake, Joseph Kendall-Morwick. ewcbr 2008: 269-283 [doi]
Cases, Context, and Comfort: Opportunities for Case-Based Reasoning in Smart HomesDavid B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer. icost 2006: 109-131 [doi]
Case-Based Reasoning Tomorrow: Provenance, the Web, and Cases in the Future of Intelligent Information ProcessingDavid B. Leake. ifip12 2010: 1 [doi]
Introduction to the Special Issue on Maintaining Case-Based Reasoning SystemsDavid B. Leake, Barry Smyth, David C. Wilson, Qiang Yang. ci, 17(2):193-195, 2001.
AAAI-07 Workshop ReportsSarabjot 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, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman. aim, 28(4):119-128, 2007. [doi]
Maintaining Cased-Based Reasoners: Dimensions and DirectionsDavid C. Wilson, David B. Leake. ci, 17(2):196-213, 2001.
Organizing Committee / PrefaceThomas Roth-Berghofer, Stefan Schulz, Daniel Bahls, David B. Leake. exact 2007:
The Diversity of AIDavid B. Leake. aim, 33(1):9, 2012. [doi]
Enhancing Case Adaptation with Introspective Reasoning and Web MiningDavid B. Leake, Jay H. Powell. IJCAI 2011: 2680-2685 [doi]
Case-Based Reasoning Research and Development, Second International Conference, ICCBR-97, Providence, Rhode Island, USA, July 25-27, 1997, ProceedingsDavid B. Leake, Enric Plaza, editors, Volume 1266 of Lecture Notes in Computer Science, Springer, 1997.
A Web based Conversational Case-Based Recommender System for Ontology aided Metadata DiscoveryMehmet S. Aktas, Marlon E. Pierce, Geoffrey Fox, David B. Leake. ccgrid 2004: 69-75 [doi]
Case-Based Similarity Assessment: Estimating Adaptability from ExperienceDavid B. Leake, Andrew Kinley, David C. Wilson. AAAI 1997: 674-679
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop ProgramWolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve Young, Dmitry Zelenko. aim, 27(4):92-102, 2006. [doi]
Managing Multiple Case Bases: Dimensions and IssuesDavid B. Leake, Raja Sooriamurthi. flairs 2002: 106-110
Intelligent Information Processing VI - 7th IFIP TC 12 International Conference, IIP 2012, Guilin, China, October 12-15, 2012. ProceedingsZhongzhi Shi, David B. Leake, Sunil Vadera, editors, Volume 385 of IFIP Advances in Information and Communication Technology, Springer, 2012. [doi]
Dispatching Cases versus Merging Case-Bases: When MCBR MattersDavid B. Leake, Raja Sooriamurthi. flairs 2003: 129-133
Remembering Why to Remember: Performance-Guided Case-Base MaintenanceDavid B. Leake, David C. Wilson. ewcbr 2000: 161-172 [doi]
Creativity and Learning in a Case-Based ExplainerRoger C. Schank, David B. Leake. ai, 40(1-3):353-385, 1989.
A Case-Based Framework for Interactive Capture and Reuse of Design KnowledgeDavid B. Leake, David C. Wilson. apin, 14(1):77-94, 2001.
Towards context-based search engine selectionDavid B. Leake, Ryan Scherle. IUI 2001: 109-112 [doi]
Explanation-aware Computing, Papers from the 2009 IJCAI Workshop, Pasadena, California , USA, July 11-12, 2009Thomas Roth-Berghofer, Nava Tintarev, David B. Leake, editors, 2009.
EditorialDavid B. Leake. aim, 24(2):3, 2003.
Goal-Based Explanation EvaluationDavid B. Leake. cogsci, 15(4):509-545, 1991.
A Noisy 10GB Provenance DatabaseYou-Wei Cheah, Beth Plale, Joseph Kendall-Morwick, David B. Leake, Lavanya Ramakrishnan. BPM 2012: 370-381 [doi]
Using Case Provenance to Propagate Feedback to Cases and AdaptationsDavid B. Leake, Scott A. Dial. ewcbr 2008: 255-268 [doi]
EditorialDavid B. Leake. aim, 23(3):1-4, 2002.
Experience-based support for human-centered knowledge modelingDavid B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer. kbs, 68:77-87, 2014. [doi]
Explanation-aware Computing, Papers from the 2011 IJCAI Workshop, Barcelona, Spain, July 16-17, 2011Thomas Roth-Berghofer, Nava Tintarev, David B. Leake, editors, 2011.
Generalized representation and mapping for social-ecological data: Freeing data from the databaseScott Jensen, Beth Plale, Xiaozhong Liu, Miao Chen, David B. Leake, Julie England. eScience 2012: 1-8 [doi]
Proceedings of the IJCAI-05 Workshop on Modeling and Retrieval of Context Edinburgh, July 31 - August 1, 2005Thomas Roth-Berghofer, Stefan Schulz 0004, David B. Leake, editors, Volume 146 of CEUR Workshop Proceedings, CEUR-WS.org, 2005. [doi]
Organizing Committee / PrefaceThomas Roth-Berghofer, Nava Tintarev, David B. Leake. exact 2011:
Using Cases to Support Divergent Roles in Distributed CollaborationDavid B. Leake, Steven Bogaerts, Michael Evans, Rick McMullen, Michael Oder, Alejandro Valerio. flairs 2005: 117-122
Topic Extraction and Extension to Support Concept MappingDavid B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer. flairs 2003: 325-329
Guest editors' introduction: special issue on case-based reasoningDavid B. Leake, Barry Smyth, Rosina Weber. jiis, 46(2):235-236, 2016. [doi]
Acquiring Case Adaptation Knowledge: A Hybrid ApproachDavid B. Leake, Andrew Kinley, David C. Wilson. AAAI 1996: 684-689
Exploiting Rich Context: An Incremental Approach to Context-Based Web SearchDavid B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer. context 2005: 254-267 [doi]
Using Introspective Reasoning to Refine IndexingSusan Fox, David B. Leake. IJCAI 1995: 391-399
Case-based reasoningDavid B. Leake. ker, 9(1):61-64, 1994. [doi]
An integrated interface for proactive, experience-based design supportDavid B. Leake, Lawrence Birnbaum, Kristian J. Hammond, Cameron Marlow, Hao Yang. IUI 2001: 101-108 [doi]
Detecting context-differentiating terms using competitive learningTravis Bauer, David B. Leake. sigir, 37(2):4-17, 2003. [doi]
Focusing Construction and Selection of Abductive HypothesesDavid B. Leake. IJCAI 1993: 24-31
Editorial IntroductionDavid B. Leake. aim, 27(4):3, 2006. [doi]
Organizing Committee / PrefaceThomas Roth-Berghofer, Nava Tintarev, David B. Leake, Daniel Bahls. exact 2010:
WordSieve: A Method for Real-Time Context ExtractionTravis Bauer, David B. Leake. context 2001: 30-44 [doi]
Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical FeaturesVahid Jalali, David B. Leake, Najmeh Forouzandehmehr. iccbr 2016: 186-202 [doi]
Modeling and Using Context, 5th International and Interdisciplinary Conference, CONTEXT 2005, Paris, France, July 5-8, 2005, ProceedingsAnind K. Dey, Boicho N. Kokinov, David B. Leake, Roy M. Turner, editors, Volume 3554 of Lecture Notes in Computer Science, Springer, 2005.
After Seventeen Years and 70 Issues ..David B. Leake. aim, 37(2):3-4, 2016. [doi]
Organizing Committee / PrefaceThomas Roth-Berghofer, Stefan Schulz, David B. Leake, Daniel Bahls. exact 2008:
Explanation-aware Computing, Papers from the 2008 ECAI Workshop, Patras, Greece, July 21-22, 2008. University of PatrasThomas Roth-Berghofer, Stefan Schulz, David B. Leake, Daniel Bahls, editors, 2008.
Real Time User Context Modeling for Information Retrieval AgentsTravis Bauer, David B. Leake. CIKM 2001: 568-570
Knowledge Planning and Learned Personalization for Web-Based Case AdaptationDavid B. Leake, Jay Powell. ewcbr 2008: 284-298 [doi]
EditorialDavid B. Leake. aim, 20(3):12-17, 1999.
Learning to Improve Case Adaption by Introspective Reasoning and CBRDavid B. Leake, Andrew Kinley, David C. Wilson. iccbr 1995: 229-240
Using Introspective Reasoning to Improve CBR System PerformanceJosep Lluís Arcos, Oguz Mülâyim, David B. Leake. In Michael T. Cox, Anita Raja, editors, Metareasoning - Thinking about Thinking. pages 167-182, MIT Press, 2011. [doi]
Automatically Selecting Strategies for Multi-Case-Base ReasoningDavid B. Leake, Raja Sooriamurthi. ewcbr 2002: 204-233 [doi]
Learning to Refine Indexing by Introspective ReasoningSusan Fox, David B. Leake. iccbr 1995: 430-440
Goal-Driven Learning: Fundamental Issues: A Symposium ReportDavid B. Leake, Ashwin Ram. aim, 14(4):67-72, 1993.
Learning, Goals, and Learning Goals: A Perspective on Goal-Driven LearningDavid B. Leake, Ashwin Ram. air, 9(6):387-422, 1995.
Intelligent Information Processing V - 6th IFIP TC 12 International Conference, IIP 2010, Manchester, UK, October 13-16, 2010. ProceedingsZhongzhi Shi, Sunil Vadera, Agnar Aamodt, David B. Leake, editors, Volume 340 of IFIP, Springer, 2010. [doi]
Human-Centered CBR: Integrating Case-Based Reasoning with Knowledge Construction and ExtensionDavid B. Leake. iccbr 2003: 1 [doi]
What Evaluation Criteria Are Right for CCBR? Considering Rank QualitySteven Bogaerts, David B. Leake. ewcbr 2006: 385-399 [doi]
Focusing AI Students Attention: A Framework-Based Approach to Guiding Impasse-Driven LearningSteven Bogaerts, David B. Leake. flairs 2006: 186-191
Combining CBR with Interactive Knowledge Acquisition, Manipulation and ReuseDavid B. Leake, David C. Wilson. iccbr 1999: 203-217 [doi]
Handling Complex Information Environments: A Multi-Agent FrameworkTravis Bauer, David B. Leake. aois 2002: [doi]
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem DescriptionsSteven Bogaerts, David B. Leake. ewcbr 2004: 62-76 [doi]
Suggesting novel but related topics: towards context-based support for knowledge model extensionAna Gabriela Maguitman, David B. Leake, Thomas Reichherzer. IUI 2005: 207-214 [doi]
PrefaceStefan Schulz 0004, David B. Leake, Thomas Roth-Berghofer. IJCAI 2005: [doi]
When Two Case Bases Are Better than One: Exploiting Multiple Case BasesDavid B. Leake, Raja Sooriamurthi. iccbr 2001: 321-335 [doi]
Mining Large-Scale Knowledge Sources for Case Adaptation KnowledgeDavid B. Leake, Jay H. Powell. iccbr 2007: 209-223 [doi]
A Computational Method for Extracting, Representing, and Predicting Social ClosenessKatherine Metcalf, David B. Leake. ecai 2016: 1176-1184 [doi]
Towards Situated ExplanationRaja Sooriamurthi, David B. Leake. AAAI 1994: 1492
Large Language Models Need Symbolic AIKristian J. Hammond, David B. Leake. nesy 2023: 204-209 [doi]
Categorizing Case-Base Maintenance: Dimensions and DirectionsDavid B. Leake, David C. Wilson. ewcbr 1998: 196-207 [doi]
Exploiting information access patterns for context-based retrievalTravis Bauer, David B. Leake. IUI 2002: 176-177 [doi]
Happy Anniversary, AAAI and AI Magazine!David B. Leake. aim, 26(4):1, 2005.
Report on the 2007 Workshop on Modeling and Reasoning in ContextAnders Kofod-Petersen, Jörg Cassens, David B. Leake, Stefan Schulz. aim, 29(1):97-98, 2008. [doi]
Explanation-Aware Computing, Papers from the 2007 AAAI Workshop, Vancouver, British Columbia, Canada, July 22-23, 2007Thomas Roth-Berghofer, Stefan Schulz, Daniel Bahls, David B. Leake, editors, Volume WS-07-06 of AAAI Technical Report, AAAI Press, 2007.
Dynamic extraction topic descriptors and discriminators: towards automatic context-based topic searchAna Gabriela Maguitman, David B. Leake, Thomas Reichherzer, Filippo Menczer. CIKM 2004: 463-472 [doi]
Introduction to the Special Issue on Explanation in Case-Based ReasoningDavid B. Leake, David McSherry. air, 24(2):103-108, 2005. [doi]
Modeling and Retrieval of Context, Second International Workshop, MRC 2005, Edinburgh, UK, July 31 - August 1, 2005, Revised Selected PapersThomas Roth-Berghofer, Stefan Schulz, David B. Leake, editors, Volume 3946 of Lecture Notes in Computer Science, Springer, 2006.
Introspective Reasoning in a Case-Based PlannerSusan Fox, David B. Leake. AAAI 1994: 1446-1446
Formal and Experimental Foundations of a New Rank Quality MeasureSteven Bogaerts, David B. Leake. ewcbr 2008: 74-88 [doi]
Increasing AI Project Effectiveness with Reusable Code Frameworks: A Case Study Using IUCBRFSteven Bogaerts, David B. Leake. flairs 2005: 2-7
EditorialDavid B. Leake. aim, 21(3):4, 2000.
When Experience Is Wrong: Examining CBR for Changing Tasks and EnvironmentsDavid B. Leake, David C. Wilson. iccbr 1999: 218-232 [doi]
Case Provenance: The Value of Remembering Case SourcesDavid B. Leake, Matthew Whitehead. iccbr 2007: 194-208 [doi]
Introspective reasoning for index refinement in case-based reasoningSusan Fox, David B. Leake. jetai, 13(1):63-88, 2001.
A Case Study of Case-Based CBRDavid B. Leake, Andrew Kinley, David C. Wilson. iccbr 1997: 371-382
Intelligent Information Processing VII - 8th IFIP TC 12 International Conference, IIP 2014, Hangzhou, China, October 17-20, 2014, ProceedingsZhongzhi Shi, Zhaohui Wu, David B. Leake, Uli Sattler, editors, Volume 432 of IFIP Advances in Information and Communication Technology, Springer, 2014. [doi]
EditorialDavid B. Leake. aim, 21(1):8, 2000.
Passing the TorchDavid B. Leake. aim, 37(3):3-4, 2016. [doi]
Integrating Information Resources: A Case Study of Engineering Design SupportDavid B. Leake, Lawrence Birnbaum, Kristian J. Hammond, Cameron Marlow, Hao Yang. iccbr 1999: 482-495 [doi]
AI Magazine Poster: The AI LandscapeDavid B. Leake, James Gary. aim, 29(2):3-4, 2008. [doi]
Personalized CBR-Challenges and IllustrationsDavid B. Leake. ewcbr 2002: 22-23
CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule GenerationVahid Jalali, David B. Leake. iccbr 2015: 181-196 [doi]
Assessing Conceptual Similarity to Support Concept MappingDavid B. Leake, Ana Gabriela Maguitman, Alberto J. Cañas. flairs 2002: 168-172
Facilitating representation and retrieval of structured cases: Principles and toolkitJoseph Kendall-Morwick, David B. Leake. is, 40:106-114, 2014. [doi]
An Indexing Vocabulary for Case-Based ExplanationDavid B. Leake. AAAI 1991: 10-15
EditorialDavid B. Leake. aim, 23(1):12, 2002.
Constructing and Transforming CBR Implementations: Techniques for Corporate Memory ManagementArijit Sengupta, David C. Wilson, David B. Leake. iccbr 1999: 9-18
Experience, introspection and expertise: Learning to refine the case-based reasoning processDavid B. Leake. jetai, 8(3-4):319-339, 1996.
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop ProgramWolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko. aim, 27(4):92-102, 2006. [doi]
Four Heads Are Better than One: Combining Suggestions for Case AdaptationDavid B. Leake, Joseph Kendall-Morwick. iccbr 2009: 165-179 [doi]
Explanation-aware Computing, Papers from the 2010 ECAI Workshop, Lisbon, Portugal, August 16, 2010Thomas Roth-Berghofer, Nava Tintarev, David B. Leake, Daniel Bahls, editors, University of Lisbon, Portugal, 2010.
On Deriving Adaptation Rule Confidence from the Rule Generation ProcessVahid Jalali, David Leake. iccbr 2013: 179-187 [doi]
How Many Cases Do You Need? Assessing and Predicting Case-Base CoverageDavid Leake, Mark Wilson. iccbr 2011: 92-106 [doi]
Investigating Methods and Representations for Reasoning About Social Context and Relative Social PowerKatherine Metcalf, David Leake. context 2015: 385-397 [doi]
An Ensemble Approach to Adaptation-Guided RetrievalVahid Jalali, David Leake. flairs 2014: [doi]
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and RepresentationsKatherine Metcalf, David Leake. IJCAI 2019: 3144-3150 [doi]
On Bringing Case-Based Reasoning Methodology to Deep LearningDavid Leake, David J. Crandall. iccbr 2020: 343-348 [doi]
Learning and Applying Case Adaptation Rules for Classification: An Ensemble ApproachVahid Jalali, David Leake, Najmeh Forouzandehmehr. IJCAI 2017: 4874-4878 [doi]
Announcing the New App for AI MagazineDavid Leake. aim, 34(4):9, 2013. [doi]
Custom Accessibility-Based CCBR Question Selection by Ongoing User ClassificationVahid Jalali, David Leake. iccbr 2012: 196-210 [doi]
Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial ScaleVahid Jalali, David Leake. iccbr 2018: 153-169 [doi]
Adaptation-Guided Case Base MaintenanceVahid Jalali, David Leake. AAAI 2014: 1875-1881 [doi]
A Context-Aware Approach to Selecting Adaptations for Case-Based ReasoningVahid Jalali, David Leake. context 2013: 101-114 [doi]
Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction DatasetZachary Wilkerson, David Leake, David Crandall 0001. iccbr 2023: 236-240 [doi]
Enhancing Case-Based Reasoning with Neural NetworksDavid Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall. In Pascal Hitzler, Md. Kamruzzaman Sarker, Aaron Eberhart, editors, Compendium of Neurosymbolic Artificial Intelligence. Volume 369 of Frontiers in Artificial Intelligence and Applications, pages 387-409, IOS Press, 2023. [doi]
Case Adaptation with Neural Networks: Capabilities and LimitationsXiaomeng Ye, David Leake, David J. Crandall. iccbr 2022: 143-158 [doi]
Proceedings of the 7th International Conference on Intelligent User Interfaces, IUI 2002, San Francisco, California, USA, January 13-16, 2002Kristian J. Hammond, Yolanda Gil, David Leake, editors, ACM, 2002. [doi]
On Combining Case Adaptation RulesDavid Leake, Xiaomeng Ye. iccbr 2019: 204-218 [doi]
Cases Are King: A User Study of Case Presentation to Explain CBR DecisionsLawrence Gates, David Leake, Kaitlynne Wilkerson. iccbr 2023: 153-168 [doi]
Enhancing case-based regression with automatically-generated ensembles of adaptationsVahid Jalali, David Leake. jiis, 46(2):237-258, 2016. [doi]
Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE ApproachXiaomeng Ye, Ziwei Zhao, David Leake, David Crandall. icccrea 2022: 314-323 [doi]
Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation RulesVahid Jalali, David Leake. iccbr 2013: 188-202 [doi]
An Ensemble Approach to Instance-Based Regression Using Stretched NeighborhoodsVahid Jalali, David Leake. flairs 2013: [doi]
Scaling Up Ensemble of Adaptations for Classification by Approximate Nearest Neighbor RetrievalVahid Jalali, David Leake. iccbr 2017: 154-169 [doi]
Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive CasesXiaomeng Ye, David Leake, William Huibregtse, Mehmet Dalkilic. iccbr 2020: 245-260 [doi]
In Memoriam: Roger C. Schank, 1946-2023Richard Granger, David Leake, Christopher K. Riesbeck. aim, 44(3):343-344, September 2023. [doi]
CBR Based Workflow Composition AssistantEran Chinthaka, Jaliya Ekanayake, David Leake, Beth Plale. services 2009: 352-355 [doi]
On Combining Knowledge-Engineered and Network-Extracted Features for RetrievalZachary Wilkerson, David Leake, David J. Crandall. iccbr 2021: 248-262 [doi]
CBR Confidence as a Basis for Confidence in Black Box SystemsLawrence Gates, Caleb Kisby, David Leake. iccbr 2019: 95-109 [doi]
Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case ContentsDavid Leake, Brian Schack. iccbr 2015: 212-227 [doi]
Customizing Question Selection in Conversational Case-Based ReasoningVahid Jalali, David Leake. flairs 2012: [doi]
Announcing the Digital Edition of AI MagazineDavid Leake. aim, 34(2):8, 2013. [doi]
Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case CompressionDavid Leake, Brian Schack. iccbr 2016: 234-248 [doi]
On Retention of Adaptation RulesVahid Jalali, David Leake. iccbr 2014: 200-214 [doi]
Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case AdaptationDavid Leake, Xiaomeng Ye, David J. Crandall. aaaiss 2021: [doi]
Knowledge-Based Morphological Classification of Galaxies from Vision FeaturesDevendra Singh Dhami, David Leake, Sriraam Natarajan. AAAI 2017: [doi]
Embedded Word Representations for Rich Indexing: A Case Study for Medical RecordsKatherine Metcalf, David Leake. iccbr 2018: 264-280 [doi]
Learning Adaptations for Case-Based Classification: A Neural Network ApproachXiaomeng Ye, David Leake, Vahid Jalali, David J. Crandall. iccbr 2021: 279-293 [doi]
Maintenance for Case Streams: A Streaming Approach to Competence-Based DeletionYang Zhang, Su Zhang, David Leake. iccbr 2017: 420-434 [doi]
Harmonizing Case Retrieval and Adaptation with Alternating OptimizationDavid Leake, Xiaomeng Ye. iccbr 2021: 125-139 [doi]
Evaluating CBR Explanation Capabilities: Survey and Next StepsLawrence Gates, David Leake. iccbr 2021: 40-51 [doi]
Mining classifications from social-ecological databasesScott Jensen, Miao Chen, Xiaozhong Liu, Beth Plale, David Leake. asist 2012: 1-4 [doi]
Generating Counterfactual Images: Towards a C2C-VAE ApproachZiwei Zhao, David Leake, Xiaomeng Ye, David J. Crandall. iccbr 2023: 189-194 [doi]
Less is Better: An Energy-Based Approach to Case Base CompetenceEsteban Marquer, Fadi Badra, Marie-Jeanne Lesot, Miguel Couceiro, David Leake. iccbr 2023: 27-42 [doi]
Case-Base Maintenance: A Streaming ApproachYang Zhang, Su Zhang, David Leake. iccbr 2017: 222-231 [doi]
Learning and applying adaptation rules for categorical features: An ensemble approachVahid Jalali, David Leake, Najmeh Forouzandehmehr. aicom, 30(3-4):193-205, 2017. [doi]
Modelling Unsupervised Event Segmentation: Learning Event Boundaries from Prediction ErrorsKatherine Metcalf, David Leake. cogsci 2017: [doi]
Case-based Explanation: Making the Implicit ExplicitDavid Leake. iccbr 2023: 195-200 [doi]
Mining for Topics to Suggest Knowledge Model ExtensionsCarlos M. Lorenzetti, Ana Gabriela Maguitman, David Leake, Filippo Menczer, Thomas Reichherzer. tkdd, 11(2), 2016. [doi]
Learning to Improve Efficiency for Adaptation PathsDavid Leake, Xiaomeng Ye. iccbr 2020: 325-340 [doi]
Extracting Case Indices from Convolutional Neural Networks: A Comparative StudyDavid Leake, Zachary Wilkerson, David J. Crandall. iccbr 2022: 81-95 [doi]
Towards Addressing Problem-Distribution Drift with Case DiscoveryDavid Leake, Brian Schack. iccbr 2023: 244-259 [doi]
Exploration vs. Exploitation in Case-Base Maintenance: Leveraging Competence-Based Deletion with Ghost CasesDavid Leake, Brian Schack. iccbr 2018: 202-218 [doi]
Examining the Impact of Network Architecture on Extracted Feature Quality for CBRDavid Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David J. Crandall. iccbr 2023: 3-18 [doi]
Transfer Learning via Relational Type MatchingRaksha Kumaraswamy, Phillip Odom, Kristian Kersting, David Leake, Sriraam Natarajan. icdm 2015: 811-816 [doi]
Intelligent Information Processing IV, 5th IFIP International Conference on Intelligent Information Processing, October 19-22, 2008, Beijing, ChinaZhongzhi Shi, Eunika Mercier-Laurent, David Leake, editors, Volume 288 of IFIP, Springer, 2009.

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