Articles by Author

Author

Alexis Joly

14 articles by this author

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Research Article

Published in: Ecological Solutions and Evidence

Creating the vision of rapid, repeatable, reactive data workflows for policy on biodiversity

Part of: B-Cubed – Biodiversity Building Blocks for Policy

10.1002/2688-8319.70113

18-09-2025

Research Article

Published in: Ecological Informatics

Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images

Vincent Espitalier, Jean-Christophe Lombardo, Hervé Goëau, Christophe Botella, Toke Thomas Høye, Mads Dyrmann, Pierre Bonnet, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.1016/j.ecoinf.2025.103129

26-04-2025

Research Article

Published in: Research Square

Learning the syntax of plant assemblages

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.21203/rs.3.rs-6304381/v1

07-04-2025

Research Article

Published in: Methods in Ecology and Evolution

Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: How does it work and how can we improve it?

Tanguy Lefort, Antoine Affouard, Benjamin Charlier, Jean-Christophe Lombardo, Mathias Chouet, Hervé Goëau, Joseph Salmon, Pierre Bonnet, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.1111/2041-210X.14486

04-02-2025

Software Description

Published in: arXiv

MALPOLON: A Framework for Deep Species Distribution Modeling

Theo Larcher, Lukas Picek, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.48550/arXiv.2409.18102

26-09-2024

Conference Abstract

Published in: Lecture Notes in Computer Science

Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.1007/978-3-031-71908-0_9

19-09-2024

Research Article

Published in: Applied Vegetation Science

A deep‐learning framework for enhancing habitat identification based on species composition

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.1111/avsc.12802

28-08-2024

Data Paper (Generic)

Published in: arXiv

GeoPlant: Spatial Plant Species Prediction Dataset

Lukas Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Remi Palard, Theo Larcher, Benjamin Deneu, Diego Marcos, Pierre Bonnet, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.48550/arXiv.2408.13928

25-08-2024

Other

Published in: New Phytologist

Can we harmonize the monitoring of plants and pollinators?

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.1111/nph.20038

13-08-2024

Research Article

Published in: Ecological Informatics

Mapping global orchid assemblages with deep learning provides novel conservation insights

Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.1016/j.ecoinf.2024.102627

15-05-2024

Conference Abstract

Published in: Lecture Notes in Computer Science

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.1007/978-3-031-56072-9_3

20-03-2024

Modern Approaches to the Monitoring of ...

Grant Proposal

Published in: Research Ideas and Outcomes

Modern Approaches to the Monitoring of Biоdiversity (MAMBO)

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.3897/rio.9.e116951

07-12-2023

Unique: 3386 | Total: 5303

Reprint: € 14,00

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