Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonathan Shih
dblp:16/8610
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved
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 · 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 · 50% Image recognition and object detection · 50% |
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 › knowledge acquisition › knowledge extraction
attribute discovery |
0.1 | 1 | 2010 | Automatic Attribute Discovery and Characterization from Noisy Web Data · ECCV (1) 2010 |
Computer vision › Image recognition and object detection
attribute recognition |
0.1 | 1 | 2010 | Automatic Attribute Discovery and Characterization from Noisy Web Data · ECCV (1) 2010 |
Methods — techniques the papers use, named apart from their topics
weakly supervised learning · 0.1noisy web data · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Automatic Attribute Discovery and Characterization from Noisy Web Data
Tamara L. Berg, Alexander C. Berg, Jonathan Shih |
ECCV (1) | 3 |