Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rainer Weigel
dblp:78/1540
· DBLP profile ↗
6ranked-venue papers
4as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 4 · 3 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
3 papers |
Planning, search and constraint satisfaction · 57% Efficient and distributed learning · 33% Knowledge representation and reasoning · 10% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 2 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
compilation |
0.0 | 1 | 1999 | Compiling constraint satisfaction problems · Artif. Intell. 1999 |
Machine learning › Efficient and distributed learning
resource allocation |
0.0 | 1 | 1995 | Abstraction by Interchangeability in Resource Allocation · IJCAI 1995 |
Methods — techniques the papers use, named apart from their topics
interchangeability · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Compiling constraint satisfaction problems
Rainer Weigel, Boi Faltings |
Artif. Intell. | 1 |
| 1998 | On Reformulation of Constraint Satisfaction Problems
Rainer Weigel, Christian Bliek |
ECAI | 1 |
| 1998 | Distributing problem solving on the Web using constraint technologyabstractWWW servers have to serve many clients simultaneously and thus cannot provide intelligent services. We present an approach where intelligent problem solving is distributed so that compute-expensive tasks are carried out on the client side. To this end, we have implemented a library of constraint satisfaction techniques, called the JAVA constraint library, which allows composing applets that solve CSPs. We present the library and show several examples of applications. Marc Torrens, Rainer Weigel, Boi Faltings |
ICTAI | 2 |
| 1997 | Structuring Techniques for Constraint Satisfaction Problems
Rainer Weigel, Boi Faltings |
IJCAI (1) | 1 |
| 1996 | Context in Discrete Constraint Satisfaction Problems
Rainer Weigel, Boi Faltings, Berthe Y. Choueiry |
ECAI | 1 |
| 1995 | Abstraction by Interchangeability in Resource Allocation
Berthe Y. Choueiry, Boi Faltings, Rainer Weigel |
IJCAI | 3 |