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Philip Sayer

dblp:77/10757 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
0000-0003-3187-2541ORCID · reported

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

Graphics, 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Artificial intelligence
1 paper
Deep learning architectures and training · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
engineering design		 0.112012
Learning-based ship design optimization approach · Comput. Aided Des. 2012

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

learning-based optimization · 0.3
YearPublicationVenuePosition
2012 Learning-based ship design optimization approach
Osman Turan, Philip Sayer
 Comput. Aided Des.3