Demo Data from EDBT 2026 / reviewers in the wild / expert
F. Cottrez
dblp:231/3106
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.
| Theoretical computer science
1 paper |
Mathematical optimization · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Mathematical optimization
discrete optimization |
0.0 | 1 | 1990 | SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990 |
Mathematical optimization › scheduling
production scheduling |
0.0 | 1 | 1990 | SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990 |
Embedded and real-time systems
cyber-physical system platforms |
0.0 | 1 | 1990 | SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990 |
Embedded and real-time systems › cyber-physical system platforms
industrial automation |
0.0 | 1 | 1990 | SESFAC: a scheduling expert system for flexible assembly cells · ICRA 1990 |
Methods — techniques the papers use, named apart from their topics
scheduling-in-advance · 0.0expert system · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | SESFAC: a scheduling expert system for flexible assembly cellsabstractThe design of a knowledge-based scheduling system for a flexible assembly cell is discussed. The system integrates disruptions and can be connected to a real-time cell controller. It is composed of a static database, a dynamic database, and expert modules and is driven by an asynchronous clock. The knowledge is hierarchically organized in the distinct expert modules, each standing for a decision level. The scheduler is characterized by a scheduling-in-advance methodology. This capability is to be used on- or offline.> Hendrik Van Brussel, F. Cottrez, Paul Valckenaers |
ICRA | 2 |