Demo Data from EDBT 2026 / reviewers in the wild / expert
Matjaz Perpar
dblp:30/1052
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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 |
Knowledge representation and reasoning · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems |
0.0 | 1 | 2000 | Skill-based interpretation of noisy probe signals enhanced with a genetic algorithm · Int. J. Hum. Comput. Stud. 2000 |
Mathematical optimization › evolutionary computation
genetic algorithm |
0.0 | 1 | 2000 | Skill-based interpretation of noisy probe signals enhanced with a genetic algorithm · Int. J. Hum. Comput. Stud. 2000 |
Methods — techniques the papers use, named apart from their topics
probe signal interpretation · 0.1genetic algorithm · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Skill-based interpretation of noisy probe signals enhanced with a genetic algorithm
Bogdan Filipic, Iztok Zun, Matjaz Perpar |
Int. J. Hum. Comput. Stud. | 3 |
| 1996 | Signal Interpretation in Two-Phase Fluid Dynamics Through Machine Learning and Evolutionary Computing
Bogdan Filipic, Iztok Zun, Matjaz Perpar |
IEA/AIE | 3 |