Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hun-Ki Chung
dblp:00/4566
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—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 · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › population genetics › genetic variation analysis
genetic diversity analysis |
0.1 | 1 | 2007 | PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core sets · Bioinform. 2007 |
Methods — techniques the papers use, named apart from their topics
m strategy · 0.1heuristic search · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | PowerCore: a program applying the advanced M strategy with a heuristic search for establishing core setsabstractMOTIVATION: Core sets are necessary to ensure that access to useful alleles or characteristics retained in genebanks is guaranteed. We have successfully developed a computational tool named 'PowerCore' that aims to support the development of core sets by reducing the redundancy of useful alleles and thus enhancing their richness. RESULTS: The program, using a new approach completely different from any other previous methodologies, selects entries of core sets by the advanced M (maximization) strategy implemented through a modified heuristic algorithm. The developed core set has been validated to retain all characteristics for qualitative traits and all classes for quantitative ones. PowerCore effectively selected the accessions with higher diversity representing the entire coverage of variables and gave a 100% reproducible list of entries whenever repeated. AVAILABILITY: PowerCore software uses the .NET Framework Version 1.1 environment which is freely available for the MS Windows platform. The files can be downloaded from http://genebank.rda.go.kr/powercore/. The distribution of the package includes executable programs, sample data and a user manual. Kyu-Won Kim, Hun-Ki Chung, Gyu-Taek Cho, Kyung-Ho Ma, Dorothy Chandrabalan, Jae-Gyun Gwag, Tae-San Kim, Eun-Gi Cho |
Bioinform. | 2 |