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2020 – today
- 2024
[j2]Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz:
Mapping global orchid assemblages with deep learning provides novel conservation insights. Ecol. Informatics 81: 102627 (2024)- [i2]Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz:
AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale. CoRR abs/2401.04691 (2024) - [i1]Joaquim Estopinan, Pierre Bonnet, Maximilien Servajean, François Munoz, Alexis Joly:
Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts. CoRR abs/2401.05470 (2024) - 2021
- [j1]Benjamin Deneu
, Maximilien Servajean, Pierre Bonnet, Christophe Botella, François Munoz, Alexis Joly:
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput. Biol. 17(4) (2021) - 2020
- [c3]Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, François Munoz, Alexis Joly:
Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge. CLEF (Working Notes) 2020 - [c2]Benjamin Deneu, Alexis Joly, Pierre Bonnet, Maximilien Servajean, François Munoz:
How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology? ICPR Workshops (6) 2020: 148-158
2010 – 2019
- 2018
- [c1]Christophe Botella, Pierre Bonnet, François Munoz, Pascal Monestiez, Alexis Joly:
Overview of GeoLifeCLEF 2018: Location-based Species Recommendation. CLEF (Working Notes) 2018 - [p1]Christophe Botella, Alexis Joly, Pierre Bonnet, Pascal Monestiez, François Munoz:
A Deep Learning Approach to Species Distribution Modelling. Multimedia Tools and Applications for Environmental & Biodiversity Informatics 2018: 169-199
Coauthor Index
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