Christophe Botella
Orcid: 0000-0002-5249-911X
According to our database1,
Christophe Botella
authored at least 23 papers
between 2018 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Applying the maximum entropy principle to multi-species neural networks improves species distribution models.
CoRR, 2024
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification.
Proceedings of the Advances in Information Retrieval, 2024
Overview of GeoLifeCLEF 2024: 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 2024), 2024
Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2024
2023
Trans. Large Scale Data Knowl. Centered Syst., 2023
Proceedings of the Advances in Information Retrieval, 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
2021
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
PLoS Comput. Biol., 2021
2020
Proceedings of the Advances in Information Retrieval, 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
Proceedings of the Working Notes of CLEF 2020, 2020
2019
Proceedings of the Advances in Information Retrieval, 2019
Species Recommendation using Intensity Models and Sampling Bias Correction (GeoLifeCLEF 2019: Lof_of_Lof team).
Proceedings of the Working Notes of CLEF 2019, 2019
Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019
Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences.
Proceedings of the Working Notes of CLEF 2019, 2019
2018
Overview of LifeCLEF 2018: A Large-Scale Evaluation of Species Identification and Recommendation Algorithms in the Era of AI.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2018
Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge.
Proceedings of the Working Notes of CLEF 2018, 2018
Proceedings of the Working Notes of CLEF 2018, 2018
Proceedings of the Multimedia Tools and Applications for Environmental & Biodiversity Informatics, 2018