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Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction.

, , , , , , , , , , and . CLEF, volume 11696 of Lecture Notes in Computer Science, page 387-401. Springer, (2019)

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Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory., , , , and . CoRR, (2019)Large-scale Content-based Visual Information Retrieval.. (2015)A two-head loss function for deep Average-K classification., , , and . CoRR, (2023)Automated Identification of Herbarium Specimens at Different Taxonomic Levels., , , , and . Multimedia Tools and Applications for Environmental & Biodiversity Informatics, Springer, (2018)Introduction., , , , and . Multimedia Tools and Applications for Environmental & Biodiversity Informatics, Springer, (2018)Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts., , , , and . CoRR, (2024)Improve learning combining crowdsourced labels by weighting Areas Under the Margin., , , and . CoRR, (2022)AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale., , , , and . CoRR, (2024)LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction., , , , , , , , , and 9 other author(s). ECIR (2), volume 13186 of Lecture Notes in Computer Science, page 390-399. Springer, (2022)LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges., , , , , , , , , and 5 other author(s). ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 601-607. Springer, (2021)