Demo Data from EDBT 2026 / reviewers in the wild / expert
Joris Clement
dblp:185/7861
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › similarity search › vector quantization
additive quantization |
0.2 | 1 | 2016 | Revisiting Additive Quantization · ECCV (2) 2016 |
Information retrieval › similarity search
vector quantization |
0.2 | 1 | 2016 | Revisiting Additive Quantization · ECCV (2) 2016 |
Machine learning › Efficient and distributed learning
model compression |
0.1 | 1 | 2016 | Revisiting Additive Quantization · ECCV (2) 2016 |
Methods — techniques the papers use, named apart from their topics
quantization · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Revisiting Additive Quantization
Julieta Martinez 0001, Joris Clement, Holger H. Hoos, James J. Little |
ECCV (2) | 2 |