VLDB 2026 Research / reviewers in the wild / expert
Klaus Luig
dblp:146/1470
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Kernel, tree and ensemble methods · 50% Trustworthy machine learning · 50% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning
pairwise classification |
0.1 | 1 | 2012 | Pairwise support vector machines and their application to large scale problems · J. Mach. Learn. Res. 2012 |
Machine learning › Kernel, tree and ensemble methods
support vector machine |
0.1 | 1 | 2012 | Pairwise support vector machines and their application to large scale problems · J. Mach. Learn. Res. 2012 |
Mathematical optimization
large-scale optimization |
0.0 | 1 | 2012 | Pairwise support vector machines and their application to large scale problems · J. Mach. Learn. Res. 2012 |
Methods — techniques the papers use, named apart from their topics
support vector machine · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Pairwise support vector machines and their application to large scale problems
Carl Brunner, Andreas Fischer 0004, Klaus Luig, Thorsten Thies |
J. Mach. Learn. Res. | 3 |