Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas C. Keaty
dblp:276/1454
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
constraint-based modeling |
0.4 | 1 | 2020 | Gapsplit: efficient random sampling for non-convex constraint-based models · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
monte carlo sampling · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Gapsplit: efficient random sampling for non-convex constraint-based modelsabstractSUMMARY: Gapsplit generates random samples from convex and non-convex constraint-based models by targeting under-sampled regions of the solution space. Gapsplit provides uniform coverage of linear, mixed-integer and general non-linear models. AVAILABILITY AND IMPLEMENTATION: Python and Matlab source code are freely available at http://jensenlab.net/tools. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Thomas C. Keaty, Paul A. Jensen |
Bioinform. | 1 |