Benjamin Deneu

Orcid: 0000-0003-0640-5706

According to our database1, Benjamin Deneu authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024

2023
Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

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).
PhD thesis, 2022

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Advances in Information Retrieval, 2022

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
PLoS Comput. Biol., 2021

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges.
Proceedings of the Advances in Information Retrieval, 2021

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020
The GeoLifeCLEF 2020 Dataset.
CoRR, 2020

How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology?
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020


Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge.
Proceedings of the Working Notes of CLEF 2020, 2020

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF).
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge.
Proceedings of the Working Notes of CLEF 2019, 2019

Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018
Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge.
Proceedings of the Working Notes of CLEF 2018, 2018


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