| 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 | 68 | 2020 |
| Multi-label learning from single positive labels E Cole, O Mac Aodha, T Lorieul, P Perona, D Morris, N Jojic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 55 | 2021 |
| 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 | 52 | 2019 |
| Overview of lifeclef 2022: an evaluation of machine-learning based species identification and species distribution prediction A Joly, H Goëau, S Kahl, L Picek, T Lorieul, E Cole, B Deneu, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 49 | 2022 |
| 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 | 49 | 2020 |
| 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 | 40 | 2015 |
| The geolifeclef 2020 dataset E Cole, B Deneu, T Lorieul, M Servajean, C Botella, D Morris, N Jojic, ... arXiv preprint arXiv:2004.04192, 2020 | 29 | 2020 |
| Set-valued classification - overview via a unified framework E Chzhen, C Denis, M Hebiri, T Lorieul arXiv preprint arXiv:2102.12318, 2021 | 28 | 2021 |
| Overview of GeoLifeCLEF 2022: Predicting species presence from multi-modal remote sensing, bioclimatic and pedologic data T Lorieul, E Cole, B Deneu, M Servajean, P Bonnet, A Joly CLEF 2022-Conference and Labs of the Evaluation Forum 3180 (155), 1940-1956, 2022 | 12 | 2022 |
| Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution C Garcin, P Bonnet, A Affouard, JC Lombardo, M Chouet, M Servajean, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 11 | 2021 |
| 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 | 11 | 2020 |
| 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 | 11 | 2016 |
| Lifeclef 2022 teaser: An evaluation of machine-learning based species identification and species distribution prediction A Joly, H Goëau, S Kahl, L Picek, T Lorieul, E Cole, B Deneu, ... European Conference on Information Retrieval, 390-399, 2022 | 10 | 2022 |
| Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images. T Lorieul, E Cole, B Deneu, M Servajean, P Bonnet, A Joly CLEF (Working Notes), 1451-1462, 2021 | 10 | 2021 |
| Uncertainty in predictions of deep learning models for fine-grained classification T Lorieul Université Montpellier, 2020 | 8 | 2020 |
| LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges A Joly, H Goëau, S Kahl, L Picek, C Botella, D Marcos, M Šulc, M Hrúz, ... European Conference on Information Retrieval, 568-576, 2023 | 5 | 2023 |
| 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 | 5 | 2020 |
| Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest H Goëau, T Lorieul, P Heuret, A Joly, P Bonnet Plants 11 (4), 530, 2022 | 4 | 2022 |
| Classification Under Ambiguity: When Is Average-K Better Than Top-K? T Lorieul, A Joly, D Shasha arXiv preprint arXiv:2112.08851, 2021 | 3 | 2021 |
| 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 |
