Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jennifer Carré
dblp:136/1008
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2
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% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% | |
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › plant biology
plant species identification |
0.2 | 1 | 2013 | Pl@ntNet mobile app · ACM Multimedia 2013 |
Data mining › crowdsourcing
crowdsourced data |
0.0 | 1 | 2013 | Pl@ntNet mobile app · ACM Multimedia 2013 |
Multimedia analysis and retrieval
image retrieval |
0.0 | 1 | 2013 | Pl@ntNet mobile app · ACM Multimedia 2013 |
Methods — techniques the papers use, named apart from their topics
content-based image retrieval · 0.5collaborative workflow · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | A look inside the Pl@ntNet experience - The good, the bias and the hope
Alexis Joly, Pierre Bonnet, Hervé Goëau, Julien Barbe, Souheil Selmi, Julien Champ, Samuel Dufour-Kowalski, Antoine Affouard, Jennifer Carré, Jean-François Molino, Nozha Boujemaa, Daniel Barthélémy |
Multim. Syst. | 9 |
| 2013 | Pl@ntNet mobile appabstract[email protected] is an image sharing and retrieval application for the identification of plants, available on iPhone and iPad devices. Contrary to previous content-based identification applications it can work with several parts of the plant including flowers, leaves, fruits and bark. It also allows integrating user's observations in the database thanks to a collaborative workflow involving the members of a social network specialized on plants. Data collected so far makes it one of the largest mobile plant identification tool. Hervé Goëau, Pierre Bonnet, Alexis Joly, Vera Bakic, Julien Barbe, Itheri Yahiaoui, Souheil Selmi, Jennifer Carré, Daniel Barthélémy, Nozha Boujemaa, Jean-François Molino, Grégoire Duché, Aurélien Péronnet |
ACM Multimedia | 8 |