Titouan Lorieul
Titouan Lorieul
Université de Montpellier, LIRMM, Inria
Verified email at inria.fr
Title
Cited by
Cited by
Year
A comparative study of fine-grained classification methods in the context of the LifeCLEF plant identification challenge 2015
J Champ, T Lorieul, M Servajean, A Joly
CLEF: Conference and Labs of the Evaluation forum, 2015
352015
Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
T Lorieul, KD Pearson, ER Ellwood, H Goëau, JF Molino, PW Sweeney, ...
Applications in Plant Sciences 7 (3), e01233, 2019
292019
Machine learning using digitized herbarium specimens to advance phenological research
KD Pearson, G Nelson, MFJ Aronson, P Bonnet, L Brenskelle, CC Davis, ...
BioScience 70 (7), 610-620, 2020
172020
Categorizing plant images at the variety level: Did you say fine-grained?
J Champ, T Lorieul, P Bonnet, N Maghnaoui, C Sereno, T Dessup, ...
Pattern Recognition Letters 81, 71-79, 2016
92016
The GeoLifeCLEF 2020 Dataset
E Cole, B Deneu, T Lorieul, M Servajean, C Botella, D Morris, N Jojic, ...
arXiv preprint arXiv:2004.04192, 2020
62020
Overview of LifeCLEF 2020: a system-oriented evaluation of automated species identification and species distribution Prediction
A Joly, H Goëau, S Kahl, B Deneu, M Servajean, E Cole, L Picek, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2020
52020
Overview of LifeCLEF location-based species prediction task 2020 (GeoLifeCLEF)
B Deneu, T Lorieul, E Cole, M Servajean, C Botella, P Bonnet, A Joly
CLEF 2020, 2020
32020
Static and dynamic autopsy of deep networks
T Lorieul, A Ghorra, B Merialdo
2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2016
32016
LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges
A Joly, H Goëau, S Kahl, C Botella, RR De Castaneda, H Glotin, E Cole, ...
European Conference on Information Retrieval, 542-549, 2020
22020
Uncertainty in predictions of deep learning models for fine-grained classification
T Lorieul
Université de Montpellier (UM), FRA., 2020
12020
Vers un désenchevêtrement de l'ambiguïté de la tâche et de l'incertitude du modèle pour la classification avec option de rejet à l'aide de réseaux neuronaux
T Lorieul, A Joly
CAp 2019-Conférence sur l'Apprentissage automatique, 2019
12019
Set-valued classification--overview via a unified framework
E Chzhen, C Denis, M Hebiri, T Lorieul
arXiv preprint arXiv:2102.12318, 2021
2021
LifeCLEF 2021 teaser: Biodiversity Identification and Prediction Challenges
WP Vellinga, P Bonnet, I Eggel, H Müller
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