| Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment B Deneu, M Servajean, P Bonnet, C Botella, F Munoz, A Joly PLoS computational biology 17 (4), e1008856, 2021 | 85 | 2021 |
| 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 | 69 | 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 | 60 | 2020 |
| How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools P Bonnet, A Joly, JM Faton, S Brown, D Kimiti, B Deneu, M Servajean, ... Ecological Solutions and Evidence 1 (2), e12023, 2020 | 49 | 2020 |
| The geolifeclef 2020 dataset E Cole, B Deneu, T Lorieul, M Servajean, C Botella, D Morris, N Jojic, ... arXiv preprint arXiv:2004.04192, 2020 | 39 | 2020 |
| Very high resolution species distribution modeling based on remote sensing imagery: how to capture fine-grained and large-scale vegetation ecology with convolutional neural … B Deneu, A Joly, P Bonnet, M Servajean, F Munoz Frontiers in plant science 13, 839279, 2022 | 27 | 2022 |
| 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 CEUR-WS, 2022 | 26 | 2022 |
| Overview of lifeclef 2024: Challenges on species distribution prediction and identification A Joly, L Picek, S Kahl, H Goëau, V Espitalier, C Botella, D Marcos, ... International Conference of the Cross-Language Evaluation Forum for European …, 2024 | 25 | 2024 |
| Overview of lifeclef 2023: evaluation of ai models for the identification and prediction of birds, plants, snakes and fungi A Joly, C Botella, L Picek, S Kahl, H Goëau, B Deneu, D Marcos, ... International Conference of the Cross-Language Evaluation Forum for European …, 2023 | 23 | 2023 |
| 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 | 16 | 2021 |
| Location-based species recommendation using co-occurrences and environment-GeoLifeCLEF 2018 challenge B Deneu, M Servajean, C Botella, A Joly CLEF 2018-Conference and Labs of the Evaluation Forum 2125 (119), 2018 | 16 | 2018 |
| 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 | 13 | 2022 |
| Overview of GeoLifeCLEF 2023: Species composition prediction with high spatial resolution at continental scale using remote sensing C Botella, B Deneu, D Marcos, M Servajean, T Larcher, C Leblanc, ... CLEF 2023 Working Notes-24th Conference and Labs of the Evaluation Forum …, 2023 | 12 | 2023 |
| The GeoLifeCLEF 2023 dataset to evaluate plant species distribution models at high spatial resolution across Europe C Botella, B Deneu, D Marcos, M Servajean, J Estopinan, T Larcher, ... arXiv preprint arXiv:2308.05121, 2023 | 11 | 2023 |
| Overview of LifeCLEF location-based species prediction task 2020 (GeoLifeCLEF) B Deneu, T Lorieul, E Cole, M Servajean, C Botella, P Bonnet, A Joly CEUR-WS, 2020 | 11 | 2020 |
| Evaluation of deep species distribution models using environment and co-occurrences B Deneu, M Servajean, C Botella, A Joly Experimental IR Meets Multilinguality, Multimodality, and Interaction: 10th …, 2019 | 11 | 2019 |
| Participation of LIRMM/Inria to the GeoLifeCLEF 2020 challenge B Deneu, M Servajean, P Bonnet, F Munoz, A Joly | 8 | 2020 |
| Overview of GeoLifeCLEF 2024: Species presence prediction based on occurrence data and high-resolution remote sensing images L Picek, C Botella, M Servajean, B Deneu, DM Gonzalez, R Palard, ... Working Notes of CLEF, 2024 | 7 | 2024 |
| Geoplant: Spatial plant species prediction dataset L Picek, C Botella, M Servajean, C Leblanc, R Palard, T Larcher, B Deneu, ... Advances in Neural Information Processing Systems 37, 126653-126676, 2024 | 4 | 2024 |
| Pl@ ntNet services, a contribution to the monitoring and sharing of information on the world flora P Bonnet, J Champ, H Goëau, FR Stöter, B Deneu, M Servajean, ... Biodiversity Information Science and Standards 4, e58933, 2020 | 4 | 2020 |
