Demo Data from EDBT 2026 / reviewers in the wild / expert
Huai-Jen Hsu
dblp:15/6941
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
biomedical text mining |
0.0 | 1 | 2004 | GIS: a biomedical text-mining system for gene information discovery · Bioinform. 2004 |
Bioinformatics and computational biology › biomedical text mining
relation extraction |
0.0 | 1 | 2004 | GIS: a biomedical text-mining system for gene information discovery · Bioinform. 2004 |
Methods — techniques the papers use, named apart from their topics
text mining · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | GIS: a biomedical text-mining system for gene information discoveryabstractUNLABELLED: We present a biomedical text-mining system focused on four types of gene-related information: biological functions, associated diseases, related genes and gene-gene relations. The aim of this system is to provide researchers an easy-to-use bio-information service that will rapidly survey the rapidly burgeoning biomedical literature. AVAILABILITY: http://iir.csie.ncku.edu.tw/~yuhc/gis/ Jung-Hsien Chiang, Hsu-Chun Yu, Huai-Jen Hsu |
Bioinform. | 3 |