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Jay H. Powell

dblp:24/937 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

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
1 paper
Knowledge representation and reasoning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › case-based reasoning
case adaptation
0.112011
Enhancing Case Adaptation with Introspective Reasoning and Web Mining · IJCAI 2011
Knowledge, reasoning and agents › Knowledge representation and reasoning
case-based reasoning
0.112011
Enhancing Case Adaptation with Introspective Reasoning and Web Mining · IJCAI 2011

Methods — techniques the papers use, named apart from their topics

web mining · 0.1introspective reasoning · 0.1
YearPublicationVenuePosition
2011 Enhancing Case Adaptation with Introspective Reasoning and Web Mining
David B. Leake, Jay H. Powell
IJCAI2
2010 A General Introspective Reasoning Approach to Web Search for Case Adaptation
David B. Leake, Jay H. Powell
ICCBR2
2007 Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge
David B. Leake, Jay H. Powell
ICCBR2
2005 Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation
Jay H. Powell, Brandon M. Hauff, John D. Hastings
ICCBR1