Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge.
Mathilde Negri|Maximilien Servajean|Benjamin Deneu|Alexis Joly
| Anthology ID: | DBLP:conf/clef/NegriSDJ19 |
|---|---|
| Volume: | Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019. |
| Year: | 2019 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | CEUR-WS.org |
| URL: | https://ceur-ws.org/Vol-2380/paper_97.pdf |
| DBLP: | conf/clef/NegriSDJ19 |
| BibTeX: |
@inproceedings{negri-2019-locationbased,
author = {Mathilde Negri and
Maximilien Servajean and
Benjamin Deneu and
Alexis Joly},
editor = {Linda Cappellato and
Nicola Ferro and
David E. Losada and
Henning M\"{u}ller},
title = {{Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge}},
booktitle = {{Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019}},
series = {CEUR Workshop Proceedings},
volume = {2380},
publisher = {CEUR-WS.org},
year = {2019},
url = {https://ceur-ws.org/Vol-2380/paper_97.pdf}
}