Year |
Citation |
Score |
2016 |
Lorenzetti C, Maguitman A, Leake D, Menczer F, Reichherzer T. Mining for Topics to Suggest Knowledge Model Extensions Acm Transactions On Knowledge Discovery From Data. 11: 1-30. DOI: 10.1145/2997657 |
0.721 |
|
2015 |
Leake DB, Smyth B, Weber R. Guest editors’ introduction: special issue on case-based reasoning Journal of Intelligent Information Systems. DOI: 10.1007/s10844-015-0380-5 |
0.319 |
|
2015 |
Jalali V, Leake D. Enhancing case-based regression with automatically-generated ensembles of adaptations Journal of Intelligent Information Systems. DOI: 10.1007/s10844-015-0377-0 |
0.311 |
|
2014 |
Leake D, Maguitman A, Reichherzer T. Experience-based support for human-centered knowledge modeling Knowledge-Based Systems. 68: 77-87. DOI: 10.1016/J.Knosys.2014.01.013 |
0.753 |
|
2014 |
Kendall-Morwick J, Leake D. Facilitating representation and retrieval of structured cases: Principles and toolkit Information Systems. 40: 106-114. DOI: 10.1016/J.Is.2012.11.007 |
0.763 |
|
2014 |
Kendall-Morwick J, Leake D. A study of two-phase retrieval for process-oriented case-based reasoning Studies in Computational Intelligence. 494: 7-27. DOI: 10.1007/978-3-642-38736-4_2 |
0.754 |
|
2014 |
Jalali V, Leake D. Adaptation-guided case base maintenance Proceedings of the National Conference On Artificial Intelligence. 3: 1875-1881. |
0.317 |
|
2013 |
Jalali V, Leake D. A context-aware approach to selecting adaptations for case-based reasoning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8175: 101-114. DOI: 10.1007/978-3-642-40972-1_8 |
0.462 |
|
2012 |
Cheah YW, Plale B, Kendall-Morwick J, Leake D, Ramakrishnan L. A noisy 10GB provenance database Lecture Notes in Business Information Processing. 100: 370-381. DOI: 10.1007/978-3-642-28115-0_35 |
0.718 |
|
2012 |
Jalali V, Leake D. Customizing question selection in conversational case-based reasoning Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, Flairs-25. 329-334. |
0.302 |
|
2011 |
Leake D, Powell J. Enhancing case adaptation with introspective reasoning and web mining Ijcai International Joint Conference On Artificial Intelligence. 2680-2685. DOI: 10.5591/978-1-57735-516-8/IJCAI11-446 |
0.321 |
|
2010 |
Leake D, Powell J. A general introspective reasoning approach to web search for case adaptation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6176: 186-200. DOI: 10.1007/978-3-642-14274-1_15 |
0.328 |
|
2009 |
Leake D, Kendall-Morwick J. Four heads are better than one: Combining suggestions for case adaptation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5650: 165-179. DOI: 10.1007/978-3-642-02998-1_13 |
0.745 |
|
2008 |
Bogaerts S, Leake D. Formal and experimental foundations of a new rank quality measure Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5239: 74-88. DOI: 10.1007/978-3-540-85502-6_5 |
0.545 |
|
2008 |
Leake D, Kendall-Morwick J. Towards case-based support for e-Science workflow generation by mining provenance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5239: 269-283. DOI: 10.1007/978-3-540-85502-6_18 |
0.751 |
|
2008 |
Leake D. Provenance and case-based reasoning Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, Flairs-21. 20. |
0.343 |
|
2006 |
Bogaerts S, Leake D. What evaluation criteria are right for CCBR? Considering rank quality Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4106: 385-399. DOI: 10.1007/11805816_29 |
0.668 |
|
2006 |
Leake D, Maguitman A, Reichherzer T. Cases, context, and comfort: Opportunities for case-based reasoning in Smart Homes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4008: 109-131. DOI: 10.1007/11788485_7 |
0.763 |
|
2006 |
Bogaerts S, Leake D. Focusing AI students' attention: A framework-based approach to guiding impasse-driven learning Flairs 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. 2006: 186-191. |
0.527 |
|
2005 |
De Mantaras RL, Mcsherry D, Bridge D, Leake D, Smyth B, Craw S, Faltings B, Maher ML, Cox MT, Forbus K, Keane M, Aamodt A, Watsoni I. Retrieval, reuse, revision and retention in case-based reasoning Knowledge Engineering Review. 20: 215-240. DOI: 10.1017/S0269888906000646 |
0.335 |
|
2005 |
Leake D, McSherry D. Introduction to the special issue on explanation in case-based reasoning Artificial Intelligence Review. 24: 103-108. DOI: 10.1007/S10462-005-4606-8 |
0.434 |
|
2005 |
Leake D, Maguitman A, Reichherzer T. Exploiting rich context: An incremental approach to context-based web search Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3554: 254-267. DOI: 10.1007/11508373_19 |
0.759 |
|
2005 |
Bogaerts S, Leake D. Increasing AI project effectiveness with reusable code frameworks: A case study using IUCBRF Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, Flairs 2005 - Recent Advances in Artifical Intelligence. 2-7. |
0.561 |
|
2005 |
Leake D, Bogaerts S, Evans M, McMullen R, Oder M, Valerio A. Using cases to support divergent roles in distributed collaboration Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, Flairs 2005 - Recent Advances in Artifical Intelligence. 117-122. |
0.574 |
|
2005 |
Leake D, Bogaerts S, Evans M, McMullen DF. Contextual support for remote cooperative troubleshooting: Lessons from a naturalistic study Ceur Workshop Proceedings. 133. |
0.535 |
|
2004 |
Aktas MS, Pierce M, Fox GC, Leake D. A web based conversational case-based recommender system for ontology aided metadata discovery Proceedings - Ieee/Acm International Workshop On Grid Computing. 69-75. DOI: 10.1109/GRID.2004.6 |
0.34 |
|
2004 |
Bogaerts S, Leake D. Facilitating CBR for incompletely-described cases: Distance metrics for partial problem descriptions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3155: 62-76. DOI: 10.1007/978-3-540-28631-8_6 |
0.621 |
|
2003 |
Leake D. The Seventh International Conference on Intelligent User Interfaces (IUI-2003) Ai Magazine. 24: 131-132. DOI: 10.1609/Aimag.V24I4.1737 |
0.302 |
|
2002 |
Leake DB, Sooriamurthi R. Automatically selecting strategies for multi-case-base reasoning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2416: 204-218. DOI: 10.1007/3-540-46119-1_16 |
0.782 |
|
2002 |
Hammond K, Gil Y, Leake D. International Conference on Intelligent User Interfaces, Proceedings IUI: Foreword International Conference On Intelligent User Interfaces, Proceedings Iui. iii. |
0.512 |
|
2001 |
Fox S, Leake DB. Introspective reasoning for index refinement in case-based reasoning Journal of Experimental and Theoretical Artificial Intelligence. 13: 63-88. |
0.335 |
|
2001 |
Wilson DC, Leake DB. Maintaining case-based reasoners: Dimensions and directions Computational Intelligence. 17: 196-213. |
0.326 |
|
2001 |
Leake DB, Sooriamurthi R. When two case bases are better than one: Exploiting multiple case bases Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2080: 321-335. |
0.769 |
|
2001 |
Leake DB, Scherle R. Towards context-based search engine selection International Conference On Intelligent User Interfaces, Proceedings Iui. 109-112. |
0.745 |
|
2000 |
Leake DB, Wilson DC. Remembering why to remember: Performance-guided case-base maintenance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1898: 161-172. |
0.318 |
|
1999 |
Leake DB, Birnbaum L, Hammond K, Marlow C, Yang H. Integrating diverse information resources in a case-based design environment Engineering Applications of Artificial Intelligence. 12: 705-716. DOI: 10.1016/S0952-1976(99)00042-1 |
0.627 |
|
1997 |
Leake DB, Kinley A, Wilson D. A case study of case-based CBR Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1266: 371-382. DOI: 10.1007/3-540-63233-6_507 |
0.312 |
|
1997 |
Leake DB, Kinley A, Wilson D. Case-based CBR: Capturing and reusing reasoning about case adaptation International Journal of Expert Systems. 10: 197-213. |
0.336 |
|
1995 |
Leake DB, Ram A. Learning, goals, and learning goals: A perspective on goal-driven learning Artificial Intelligence Review. 9: 387-422. DOI: 10.1007/BF00849065 |
0.428 |
|
1994 |
Sooriamurthi R, Leake D. Towards situated explanation Proceedings of the National Conference On Artificial Intelligence. 2: 1492. |
0.705 |
|
1994 |
Fox S, Leake D. Introspective reasoning in a case-based planner Proceedings of the National Conference On Artificial Intelligence. 2: 1446. |
0.343 |
|
1993 |
Leake D, Ram A. Goal-driven learning: fundamental issues—a symposium report Ai Magazine. 14: 67-72. DOI: 10.1609/Aimag.V14I4.1069 |
0.486 |
|
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