Stefan W. Christensen

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VLDB 2026 Research / reviewers in the wild / expert

dblp:22/173 · DBLP profile ↗

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1ranked-venue papers

1as first author

0since 2021 · last 2003

—ORCID · none

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

Artificial intelligence and machine learning · 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

1 paper

Kernel, tree and ensemble methods · 87% Deep learning architectures and training · 13%

Topics — the 3 heaviest of 4, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Machine learning › Kernel, tree and ensemble methods › model ensemble committee machine	1	2003	Designing Committees of Models through Deliberate Weighting of Data Points · J. Mach. Learn. Res. 2003
Machine learning › Kernel, tree and ensemble methods ensemble learning	1	2003	Designing Committees of Models through Deliberate Weighting of Data Points · J. Mach. Learn. Res. 2003
Machine learning › Deep learning architectures and training › data-centric deep learning sample weighting	1	2003	Designing Committees of Models through Deliberate Weighting of Data Points · J. Mach. Learn. Res. 2003

Year	Publication	Venue	Position
2003	Designing Committees of Models through Deliberate Weighting of Data Points Stefan W. Christensen, Ian Sinclair 0002, Philippa A. S. Reed	J. Mach. Learn. Res.	1