Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge. - Benjamin Deneu; Maximilien Servajean; Christophe Botella; Alexis Joly (CLEF (Working Notes), 2018)

Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences. - Benjamin Deneu; Maximilien Servajean; Christophe Botella; Alexis Joly (CLEF, 2019)

Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge. - Mathilde Negri; Maximilien Servajean; Benjamin Deneu; Alexis Joly (CLEF (Working Notes), 2019)

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF). - Benjamin Deneu; Titouan Lorieul; Elijah Cole; Maximilien Servajean; Christophe Botella; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2020)

Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge. - Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; François Munoz; Alexis Joly (CLEF (Working Notes), 2020)

Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Benjamin Deneu; Maximilien Servajean; Elijah Cole; Lukás Picek; Rafael Luis Ruiz De Castañeda; Isabelle Bolon; Andrew Durso; Titouan Lorieul; Christophe Botella; et al. (CLEF, 2020)

LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges. - Alexis Joly; Hervé Goëau; Stefan Kahl; Christophe Botella; Rafael Luis Ruiz De Castaneda; Hervé Glotin; Elijah Cole; Julien Champ; Benjamin Deneu; Maximilien Servajean; Titouan Lorieul; Willem-Pier Vellinga; et al. (ECIR (2), 2020)

How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology? - Benjamin Deneu; Alexis Joly; Pierre Bonnet; Maximilien Servajean; François Munoz (ICPR Workshops (6), 2020)

The GeoLifeCLEF 2020 Dataset. - Elijah Cole; Benjamin Deneu; Titouan Lorieul; Maximilien Servajean; Christophe Botella; Dan Morris 001; Nebojsa Jojic; Pierre Bonnet; Alexis Joly (CoRR, 2020)

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Andrew Durso; Isabelle Bolon; Hervé Glotin; Robert Planqué; et al. (CLEF, 2021)

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images. - Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2021)

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges. - Alexis Joly; Hervé Goëau; Elijah Cole; Stefan Kahl; Lukás Picek; Hervé Glotin; Benjamin Deneu; Maximilien Servajean; Titouan Lorieul; Willem-Pier Vellinga; Pierre Bonnet; Andrew Durso; et al. (ECIR (2), 2021)

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. - Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Christophe Botella; François Munoz; Alexis Joly (PLoS Comput. Biol., 2021)

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Andrew Durso; Hervé Glotin; Robert Planqué; Willem-Pier Vellinga; et al. (CLEF, 2022)

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data. - Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2022)

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Andrew Durso; Isabelle Bolon; Hervé Glotin; Robert Planqué; et al. (ECIR (2), 2022)

Interprétabilité des modèles de distribution d'espèces basés sur des réseaux de neurones convolutifs. (Interpretability of species distribution models based on deep convolutional learning). - Benjamin Deneu (2022)

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing. - Christophe Botella; Benjamin Deneu; Diego Marcos Gonzalez; Maximilien Servajean; Théo Larcher; César Leblanc; Joaquim Estopinan; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2023)

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. - Alexis Joly; Christophe Botella; Lukás Picek; Stefan Kahl; Hervé Goëau; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Rail Chamidullin; Milan Sulc; et al. (CLEF, 2023)

MALPOLON: A Framework for Deep Species Distribution Modeling. - Théo Larcher; Lukás Picek; Benjamin Deneu; Titouan Lorieul; Maximilien Servajean; Alexis Joly (BMVC Workshops, 2024)

Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. - Lukás Picek; Christophe Botella; Maximilien Servajean; César Leblanc; Rémi Palard; Théo Larcher; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2024)

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Vincent Espitalier; Christophe Botella; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Milan Sulc; et al. (ECIR (6), 2024)

GeoPlant: Spatial Plant Species Prediction Dataset. - Lukás Picek; Christophe Botella; Maximilien Servajean; César Leblanc; Rémi Palard; Théo Larcher; Benjamin Deneu; Diego Marcos; Pierre Bonnet; Alexis Joly (NeurIPS, 2024)

Mapping biodiversity at very-high resolution in Europe. - César Leblanc; Lukás Picek; Rémi Palard; Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CVPR Workshops, 2025)