RFIDeep: Unfolding the potential of deep learning for radio‐frequency identification
by Bardon, Gaël, Cristofari, Robin, Winterl, Alexander, Barracho, Téo, Benoiste, Marine, Ceresa, Claire, Chatelain, Nicolas, Courtecuisse, Julien, Fernandes, Flávia A. N., Gauthier‐Clerc, Michel, Gendner, Jean‐Paul, Handrich, Yves, Houstin, Aymeric, Krellenstein, Adélie, Lecomte, Nicolas, Salmon, Charles‐Edouard, Trucchi, Emiliano, Vallas, Benoit, Wong, Emily M., Zitterbart, Daniel P. and Le Bohec, Céline
Reference:
RFIDeep: Unfolding the potential of deep learning for radio‐frequency identificationBardon, Gaël; Cristofari, Robin; Winterl, Alexander; Barracho, Téo; Benoiste, Marine; Ceresa, Claire; Chatelain, Nicolas; Courtecuisse, Julien; Fernandes, Flávia A. N.; Gauthier‐Clerc, Michel; Gendner, Jean‐Paul; Handrich, Yves; Houstin, Aymeric; Krellenstein, Adélie; Lecomte, Nicolas; Salmon, Charles‐Edouard; Trucchi, Emiliano; Vallas, Benoit; Wong, Emily M.; Zitterbart, Daniel P.; Le Bohec, CélineIn Methods in Ecology and Evolution, volume 14, number 11, pp. 2814–2826, 2023.
Bibtex Entry:
@article{bardon_rfideep_2023,
title = {{RFIDeep}: {Unfolding} the potential of deep learning for radio‐frequency identification},
volume = {14},
issn = {2041-210X 2041-210X},
url = {Bardon Methods Ecol Evol 2023.pdf},
doi = {10.1111/2041-210x.14187},
number = {11},
journal = {Methods in Ecology and Evolution},
author = {Bardon, Gaël and Cristofari, Robin and Winterl, Alexander and Barracho, Téo and Benoiste, Marine and Ceresa, Claire and Chatelain, Nicolas and Courtecuisse, Julien and Fernandes, Flávia A. N. and Gauthier‐Clerc, Michel and Gendner, Jean‐Paul and Handrich, Yves and Houstin, Aymeric and Krellenstein, Adélie and Lecomte, Nicolas and Salmon, Charles‐Edouard and Trucchi, Emiliano and Vallas, Benoit and Wong, Emily M. and Zitterbart, Daniel P. and Le Bohec, Céline},
year = {2023},
note = {Type: Journal Article},
pages = {2814--2826},
}