| 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 | 31 | 2015 |
| 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 | 21 | 2019 |
| 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 | 6 | 2016 |
| Machine learning using digitized herbarium specimens to advance phenological research KD Pearson, G Nelson, MFJ Aronson, P Bonnet, L Brenskelle, CC Davis, ... BioScience 70 (6), 610-620, 2020 | 5 | 2020 |
| Static and dynamic autopsy of deep networks T Lorieul, A Ghorra, B Merialdo 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2016 | 3 | 2016 |
| The GeoLifeCLEF 2020 Dataset E Cole, B Deneu, T Lorieul, M Servajean, C Botella, D Morris, N Jojic, ... arXiv preprint arXiv:2004.04192, 2020 | 2 | 2020 |
| 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 | | 2020 |
| 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 Conférence sur l'Apprentissage automatique (CAp), 2019 | | 2019 |
