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Richard Stottler

dblp:78/4584 · also Dick Stottler, Richard H. Stottler · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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 · 50% Question answering and dialogue systems · 50%

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
0.011989
Rapid Retrieval Algorithms for Case-Based Reasoning · IJCAI 1989
Natural language and speech › Question answering and dialogue systems
document retrieval
0.011989
Rapid Retrieval Algorithms for Case-Based Reasoning · IJCAI 1989
YearPublicationVenuePosition
2017 Applying a heuristic-based scheduling framework in manufacturing, service, and communication domains
abstract
The work presented in this paper describes an intelligent scheduling software framework that utilizes domain-specific heuristics. The customizability of the framework and heuristics allows the software to develop a valid schedule that reflects each domain's specific preferences and constraints. Four distinct examples of this are presented in the areas of prototype vehicle testing, pharmaceutical packaging, mortgage audit scheduling, and satellite communication. In each example, the software solves a complex scheduling problem in less than five minutes and produces a schedule that is significantly better than those reached by previous methods. The primary contribution of this brief is describing how the customization of a general scheduling framework quickly generates solutions for specialized and highly constrained problems in a variety of domains.
Jeremy Ludwig, Robert Richards, Annaka Kalton, Richard Stottler
SMC4
1989 Rapid Retrieval Algorithms for Case-Based Reasoning
Richard Stottler, Andrea L. Henke, James A. King
IJCAI1