Demo Data from SIGIR 2026 / reviewers in the wild / expert
Claus-Rainer Rollinger
dblp:53/5356
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2001
—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 · 3 · 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
2 papers |
Representation and self-supervised learning · 50% Knowledge representation and reasoning · 50% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Representation and self-supervised learning › representation learning › semantic representation learning
concept-based learning |
0.0 | 1 | 1983 | The Discovery of the Equator or Concept Driven Learning · IJCAI 1983 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
uncertainty reasoning |
0.0 | 1 | 1983 | How to Represent Evidence - Aspects of Uncertain Reasoning · IJCAI 1983 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | The Dirty Dozen Team and Coach Description
Sean Buttinger, Marco Diedrich, Leo Hennig, Angelika Hönemann, Philipp Hügelmeyer, Andreas Nie, Andres Pegam, Collin Rogowski, Claus-Rainer Rollinger, Timo Steffens, Wilfried Teiken |
RoboCup | 9 |
| 1983 | The Discovery of the Equator or Concept Driven Learning
Werner Emde, Christopher Habel, Claus-Rainer Rollinger |
IJCAI | 3 |
| 1983 | How to Represent Evidence - Aspects of Uncertain Reasoning
Claus-Rainer Rollinger |
IJCAI | 1 |
| 1982 | The Machine as Concept-Learner
Christopher Habel, Claus-Rainer Rollinger |
ECAI | 2 |