Demo Data from VLDB 2026 / reviewers in the wild / expert
Artjom König
dblp:33/7592
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 77% Computational science and engineering · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
biochemical system modeling |
0.1 | 1 | 2009 | Accessible methods for the dynamic time-scale decomposition of biochemical systems · Bioinform. 2009 |
Computational science and engineering › numerical analysis
model reduction |
0.0 | 1 | 2009 | Accessible methods for the dynamic time-scale decomposition of biochemical systems · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
time-scale separation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Accessible methods for the dynamic time-scale decomposition of biochemical systemsabstractMOTIVATION: The growing complexity of biochemical models asks for means to rationally dissect the networks into meaningful and rather independent subnetworks. Such foregoing should ensure an understanding of the system without any heuristics employed. Important for the success of such an approach is its accessibility and the clarity of the presentation of the results. RESULTS: In order to achieve this goal, we developed a method which is a modification of the classical approach of time-scale separation. This modified method as well as the more classical approach have been implemented for time-dependent application within the widely used software COPASI. The implementation includes different possibilities for the representation of the results including 3D-visualization. AVAILABILITY: The methods are included in COPASI which is free for academic use and available at www.copasi.org. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Irina Surovtsova, Natalia Simus, Thomas Lorenz, Artjom König, Sven Sahle, Ursula Kummer |
Bioinform. | 4 |