David B. Leake

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 6

Top Venues

AI Mag.

ICCBR

NeSy

Inf. Syst.

Publications

Kristian J. Hammond, David B. Leake
Large Language Models Need Symbolic AI. NeSy (2023)
Vahid Jalali, David B. Leake, Najmeh Forouzandehmehr
Ensemble of Adaptations for Classification: Learning Adaptation Rules for Categorical Features. ICCBR (2016)
David B. Leake
After Seventeen Years and 70 Issues ... AI Mag. 37 (2) (2016)
David B. Leake, Barry Smyth, Rosina Weber
Guest editors' introduction: special issue on case-based reasoning. J. Intell. Inf. Syst. 46 (2) (2016)
Katherine Metcalf, David B. Leake
A Computational Method for Extracting, Representing, and Predicting Social Closeness. ECAI (2016)
David B. Leake
Passing the Torch. AI Mag. 37 (3) (2016)
Vahid Jalali, David B. Leake
CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation. ICCBR (2015)
Joseph Kendall-Morwick, David B. Leake
Facilitating representation and retrieval of structured cases: Principles and toolkit. Inf. Syst. 40 (2014)
David B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer
Experience-based support for human-centered knowledge modeling. Knowl. Based Syst. 68 (2014)
David B. Leake
The Diversity of AI. AI Mag. 33 (1) (2012)
Scott Jensen, Beth Plale, Xiaozhong Liu, Miao Chen, David B. Leake, Julie England
Generalized representation and mapping for social-ecological data: Freeing data from the database. eScience (2012)
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake
Organizing Committee / Preface. ExaCt (2011)
David B. Leake, Jay H. Powell
Enhancing Case Adaptation with Introspective Reasoning and Web Mining. IJCAI (2011)
You-Wei Cheah, Beth Plale, Joseph Kendall-Morwick, David B. Leake, Lavanya Ramakrishnan
A Noisy 10GB Provenance Database. Business Process Management Workshops (2) (2011)
David B. Leake, Jay H. Powell
A General Introspective Reasoning Approach to Web Search for Case Adaptation. ICCBR (2010)
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake, Daniel Bahls
Organizing Committee / Preface. ExaCt (2010)
David B. Leake
Case-Based Reasoning Tomorrow: Provenance, the Web, and Cases in the Future of Intelligent Information Processing. Intelligent Information Processing (2010)
Eran Chinthaka, Jaliya Ekanayake, David B. Leake, Beth Plale
CBR Based Workflow Composition Assistant. SERVICES I (2009)
David B. Leake, Joseph Kendall-Morwick
Four Heads Are Better than One: Combining Suggestions for Case Adaptation. ICCBR (2009)
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake
Organizing Committee / Preface. ExaCt (2009)
David B. Leake, Joseph Kendall-Morwick
Towards Case-Based Support for e-Science Workflow Generation by Mining Provenance. ECCBR (2008)
Thomas Roth-Berghofer, Stefan Schulz, David B. Leake, Daniel Bahls
Organizing Committee / Preface. ExaCt (2008)
David B. Leake, James Gary
AI Magazine Poster: The AI Landscape. AI Mag. 29 (2) (2008)
Anders Kofod-Petersen, Jörg Cassens, David B. Leake, Stefan Schulz
Report on the 2007 Workshop on Modeling and Reasoning in Context. AI Mag. 29 (1) (2008)
David B. Leake, Scott A. Dial
Using Case Provenance to Propagate Feedback to Cases and Adaptations. ECCBR (2008)
Steven Bogaerts, David B. Leake
Formal and Experimental Foundations of a New Rank Quality Measure. ECCBR (2008)
David B. Leake
Provenance and Case-Based Reasoning. FLAIRS Conference (2008)
David B. Leake, Jay H. Powell
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation. ECCBR (2008)
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, 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
AAAI-07 Workshop Reports. AI Mag. 28 (4) (2007)
David B. Leake, Matthew Whitehead
Case Provenance: The Value of Remembering Case Sources. ICCBR (2007)
Thomas Roth-Berghofer, Stefan Schulz, Daniel Bahls, David B. Leake
Organizing Committee / Preface. ExaCt (2007)
David B. Leake, Jay H. Powell
Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge. ICCBR (2007)
David B. Leake
Editorial Introduction. AI Mag. 27 (4) (2006)
Steven Bogaerts, David B. Leake
Focusing AI Students' Attention: A Framework-Based Approach to Guiding Impasse-Driven Learning. FLAIRS Conference (2006)
Wolfgang 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
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27 (4) (2006)
Steven Bogaerts, David B. Leake
What Evaluation Criteria Are Right for CCBR? Considering Rank Quality. ECCBR (2006)
David B. Leake, Steven Bogaerts, Michael Evans, Rick McMullen, Michael Oder, Alejandro Valerio
Using Cases to Support Divergent Roles in Distributed Collaboration. FLAIRS Conference (2005)
David B. Leake, David McSherry
Introduction to the Special Issue on Explanation in Case-Based Reasoning. Artif. Intell. Rev. 24 (2) (2005)
David B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer
Exploiting Rich Context: An Incremental Approach to Context-Based Web Search. CONTEXT (2005)
Ana Gabriela Maguitman, David B. Leake, Thomas Reichherzer
Suggesting novel but related topics: towards context-based support for knowledge model extension. IUI (2005)
Steven Bogaerts, David B. Leake
Increasing AI Project Effectiveness with Reusable Code Frameworks: A Case Study Using IUCBRF. FLAIRS Conference (2005)
Stefan Schulz, David B. Leake, Thomas Roth-Berghofer
Preface. MRC@IJCAI (2005)
David B. Leake
Happy Anniversary, AAAI and AI Magazine! AI Mag. 26 (4) (2005)
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, Ian D. Watson
Retrieval, reuse, revision and retention in case-based reasoning. Knowl. Eng. Rev. 20 (3) (2005)
Mehmet S. Aktas, Marlon E. Pierce, Geoffrey C. Fox, David B. Leake
A Web based Conversational Case-Based Recommender System for Ontology aided Metadata Discovery. GRID (2004)
Ana Gabriela Maguitman, David B. Leake, Thomas Reichherzer, Filippo Menczer
Dynamic extraction topic descriptors and discriminators: towards automatic context-based topic search. CIKM (2004)
Steven Bogaerts, David B. Leake
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions. ECCBR (2004)
David B. Leake, Raja Sooriamurthi
Case dispatching versus case-base merging: when MCBR matters. Int. J. Artif. Intell. Tools 13 (1) (2004)
David B. Leake
The Seventh International Conference on Intelligent User Interfaces (IUI-2003). AI Mag. 24 (4) (2004)
David B. Leake, Raja Sooriamurthi
Dispatching Cases versus Merging Case-Bases: When MCBR Matters. FLAIRS Conference (2003)
David B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer, Alberto J. Cañas, Marco M. Carvalho, Marco Arguedas, Sofia Brenes, Thomas C. Eskridge
Aiding knowledge capture by searching for extensions of knowledge models. K-CAP (2003)
Travis Bauer, David B. Leake
Detecting context-differentiating terms using competitive learning. SIGIR Forum 37 (2) (2003)
David B. Leake, Ana Gabriela Maguitman, Thomas Reichherzer
Topic Extraction and Extension to Support Concept Mapping. FLAIRS Conference (2003)
David B. Leake
Human-Centered CBR: Integrating Case-Based Reasoning with Knowledge Construction and Extension. ICCBR (2003)
David B. Leake
Editorial. AI Mag. 24 (2) (2003)
Travis Bauer, David B. Leake
Exploiting information access patterns for context-based retrieval. IUI (2002)
David B. Leake
Personalized CBR-Challenges and Illustrations. ECCBR Workshops (2002)
David B. Leake, Raja Sooriamurthi
Automatically Selecting Strategies for Multi-Case-Base Reasoning. ECCBR (2002)
David B. Leake
Editorial. AI Mag. 23 (3) (2002)
David B. Leake, Raja Sooriamurthi
Managing Multiple Case Bases: Dimensions and Issues. FLAIRS Conference (2002)
Travis Bauer, David B. Leake
Handling Complex Information Environments: A Multi-Agent Framework. AOIS@AAMAS (2002)
David B. Leake
Editorial. AI Mag. 23 (1) (2002)
David B. Leake, Ana Gabriela Maguitman, Alberto J. Cañas
Assessing Conceptual Similarity to Support Concept Mapping. FLAIRS Conference (2002)
Travis Bauer, David B. Leake
Using Document Access Sequences to Recommend Customized Information. IEEE Intell. Syst. 17 (6) (2002)
Travis Bauer, David B. Leake
Real Time User Context Modeling for Information Retrieval Agents. CIKM (2001)
Alberto J. Cañas, David B. Leake, Ana Gabriela Maguitman
Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling. FLAIRS Conference (2001)
David B. Leake, Barry Smyth, David C. Wilson, Qiang Yang
Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems. Comput. Intell. 17 (2) (2001)
Travis Bauer, David B. Leake
WordSieve: A Method for Real-Time Context Extraction. CONTEXT (2001)
David B. Leake, David C. Wilson
A Case-Based Framework for Interactive Capture and Reuse of Design Knowledge. Appl. Intell. 14 (1) (2001)
David C. Wilson, David B. Leake
Maintaining Cased-Based Reasoners: Dimensions and Directions. Comput. Intell. 17 (2) (2001)
David B. Leake, Ryan Scherle
Towards context-based search engine selection. IUI (2001)
David B. Leake, Lawrence Birnbaum, Kristian J. Hammond, Cameron Marlow, Hao Yang
An integrated interface for proactive, experience-based design support. IUI (2001)
David B. Leake, Raja Sooriamurthi
When Two Case Bases Are Better than One: Exploiting Multiple Case Bases. ICCBR (2001)
Susan Fox, David B. Leake
Introspective reasoning for index refinement in case-based reasoning. J. Exp. Theor. Artif. Intell. 13 (1) (2001)
David B. Leake
Editorial. AI Mag. 21 (1) (2000)
David B. Leake
Editorial. AI Mag. 21 (3) (2000)
David B. Leake, David C. Wilson
Remembering Why to Remember: Performance-Guided Case-Base Maintenance. EWCBR (2000)
David B. Leake, David C. Wilson
Combining CBR with Interactive Knowledge Acquisition, Manipulation and Reuse. ICCBR (1999)
David B. Leake, Lawrence Birnbaum, Kristian J. Hammond, Cameron Marlow, Hao Yang
Integrating Information Resources: A Case Study of Engineering Design Support. ICCBR (1999)
David B. Leake
Editorial. AI Mag. 20 (3) (1999)
Arijit Sengupta, David C. Wilson, David B. Leake
Constructing and Transforming CBR Implementations: Techniques for Corporate Memory Management. ICCBR Workshops (1999)
David B. Leake, David C. Wilson
When Experience Is Wrong: Examining CBR for Changing Tasks and Environments. ICCBR (1999)
David B. Leake, David C. Wilson
Categorizing Case-Base Maintenance: Dimensions and Directions. EWCBR (1998)
David B. Leake, Andrew Kinley, David C. Wilson
Case-Based Similarity Assessment: Estimating Adaptability from Experience. AAAI/IAAI (1997)
David B. Leake, Andrew Kinley, David C. Wilson
A Case Study of Case-Based CBR. ICCBR (1997)
David B. Leake, Andrew Kinley, David C. Wilson
Learning to Integrate Multiple Knowledge Sources for Case-Based Reasoning. IJCAI (1) (1997)
David B. Leake, Andrew Kinley, David C. Wilson
Acquiring Case Adaptation Knowledge: A Hybrid Approach. AAAI/IAAI, Vol. 1 (1996)
David B. Leake
Experience, introspection and expertise: Learning to refine the case-based reasoning process. J. Exp. Theor. Artif. Intell. 8 (3-4) (1996)
David B. Leake, Andrew Kinley, David C. Wilson
Learning to Improve Case Adaption by Introspective Reasoning and CBR. ICCBR (1995)
David B. Leake
Abduction, experience, and goals: a model of everyday abductive explanation. J. Exp. Theor. Artif. Intell. 7 (4) (1995)
Susan Fox, David B. Leake
Using Introspective Reasoning to Refine Indexing. IJCAI (1995)
Susan Fox, David B. Leake
Learning to Refine Indexing by Introspective Reasoning. ICCBR (1995)
David B. Leake, Ashwin Ram
Learning, Goals, and Learning Goals: A Perspective on Goal-Driven Learning. Artif. Intell. Rev. 9 (6) (1995)
Raja Sooriamurthi, David B. Leake
Towards Situated Explanation. AAAI (1994)
David B. Leake
Case-based reasoning. Knowl. Eng. Rev. 9 (1) (1994)
Susan Fox, David B. Leake
Introspective Reasoning in a Case-Based Planner. AAAI (1994)
David B. Leake, Ashwin Ram
Goal-Driven Learning: Fundamental Issues: A Symposium Report. AI Mag. 14 (4) (1993)
David B. Leake
Focusing Construction and Selection of Abductive Hypotheses. IJCAI (1993)
David B. Leake
An Indexing Vocabulary for Case-Based Explanation. AAAI (1991)
David B. Leake
Goal-Based Explanation Evaluation. Cogn. Sci. 15 (4) (1991)

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Publication Activity (10 Years)

Top Topics

Top Venues

David B. Leake