David McSherry

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dblp:63/1255 · DBLP profile ↗

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32ranked-venue papers

30as first author

0since 2021 · last 2014

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 28 · 28 first-authorGraphics, computer vision, multimedia, augmented reality and games · 10 · 8 first-authorHuman-computer interaction and ubiquitous computing · 2Applied, interdisciplinary, general and emerging computing · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence 5 papers		Knowledge representation and reasoning · 100%
Databases, data mining, and information retrieval 2 papers		Recommender systems · 75% Information retrieval · 25%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning case-based reasoning	0.2	5	2007	The Ins and Outs of Critiquing · IJCAI 2007 Automating the Discovery of Recommendation Knowledge · IJCAI 2005 Increasing Dialogue Efficiency in Case-Based Reasoning Without Loss of Solution Quality · IJCAI 2003
Recommender systems recommendation sets	0.1	1	2011	Minimally Complete Recommendations · IJCAI 2011
Information retrieval retrieval models	0.0	1	2003	Coverage-Optimized Retrieval · IJCAI 2003

Year	Publication	Venue	Position
2014	An Algorithm for Conversational Case-Based Reasoning in Classification Tasks David McSherry	ICCBR	1
2012	A Lazy Learning Approach to Explaining Case-Based Reasoning Solutions David McSherry	ICCBR	1
2011	Learning More from Experience in Case-Based Reasoning David McSherry, Christopher Stretch	ICCBR	1
2011	Adaptive Storytelling and Story Repair in a Dynamic Environment Richard Paul, Darryl Charles, Michael McNeill, David McSherry	ICIDS	4
2011	Minimally Complete Recommendations David McSherry	IJCAI	1
2011	Conversational case-based reasoning in medical decision making David McSherry	Artif. Intell. Medicine	1
2010	A Case-Based Reasoning Approach to Automating the Construction of Multiple Choice Questions David McSherry	ICCBR	1
2010	MIST: An Interactive Storytelling System with Variable Character Behavior Richard Paul, Darryl Charles, Michael McNeill, David McSherry	ICIDS	4
2009	Conversational Case-Based Reasoning in Medical Classification and Diagnosis David McSherry	AIME	1
2007	Mixed-Initiative Relaxation of Constraints in Critiquing Dialogues David McSherry, David W. Aha	ICCBR	1
2007	The Ins and Outs of Critiquing David McSherry, David W. Aha	IJCAI	1
2005	Automating the Discovery of Recommendation Knowledge David McSherry, Christopher Stretch	IJCAI	1
2004	Balancing user satisfaction and cognitive load in coverage-optimised retrieval David McSherry	Knowl. Based Syst.	1
2003	Similarity and Compromise David McSherry	ICCBR	1
2003	Increasing Dialogue Efficiency in Case-Based Reasoning Without Loss of Solution Quality David McSherry	IJCAI	1
2003	Coverage-Optimized Retrieval David McSherry	IJCAI	1
2003	Sequential diagnosis in the independence Bayesian framework David McSherry	Soft Comput.	1
2002	Recommendation Engineering David McSherry	ECAI	1
2002	The inseparability problem in interactive case-based reasoning David McSherry	Knowl. Based Syst.	1
2001	Precision and Recall in Interactive Case-Based Reasoning David McSherry	ICCBR	1
2001	Minimizing Dialog Length in Interactive Case-Based Reasoning David McSherry	IJCAI	1
2001	Interactive Case-Based Reasoning in Sequential Diagnosis David McSherry	Appl. Intell.	1
2001	Intelligent Case-Authoring Support in CaseMaker-2 abstract CaseMaker is an interactive environment for intelligent case‐authoring support in CREST, a case‐based reasoner for estimation tasks, in which the selection of cases for addition to a case library is guided by empirical evaluation of the coverage contributions of candidate cases. I present a new version of the environment called CaseMaker‐2 that is designed to support case authoring more effectively by eliminating a previous requirement for the evaluation of candidate cases to be repeated following the addition of a new case to the library. A key role in the approach is played by an algorithm for dynamic partitioning of the space of uncovered cases in such a way that the partition containing a given case represents the minimum additional coverage provided by its addition to the case library. David McSherry	Comput. Intell.	1
2000	Automating case selection in the construction of a case library David McSherry	Knowl. Based Syst.	1
1999	Demand-Driven Discovery of Adaptation Knowledge David McSherry	IJCAI	1
1999	Characteristic Rule Discovery in Aurum-3 David McSherry, Donal Roantree	Appl. Intell.	1
1999	Dynamic and static approaches to clinical data mining David McSherry	Artif. Intell. Medicine	1
1999	Strategic induction of decision trees David McSherry	Knowl. Based Syst.	1
1997	Hypothesist: A Development Environment for Intelligent Diagnostic Systems David McSherry	AIME	1
1997	A Strategy for Increasing the Efficiency of Rule Discovery in Data Mining David McSherry	IDA	1
1997	Avoiding premature closure in sequential diagnosis David McSherry	Artif. Intell. Medicine	1
1997	Knowledge discovery by inspection David McSherry	Decis. Support Syst.	1