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LifeCLEF Bird Identification Task 2016: The arrival of Deep learning.

, , , , and . CLEF (Working Notes), volume 1609 of CEUR Workshop Proceedings, page 440-449. CEUR-WS.org, (2016)

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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)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)Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data., , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1940-1956. CEUR-WS.org, (2022)Instance-based Bird Species Identification with Undiscriminant Features Pruning., , and . CLEF (Working Notes), volume 1180 of CEUR Workshop Proceedings, page 625-633. CEUR-WS.org, (2014)Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory., , , , and . CoRR, (2019)AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale., , , , and . CoRR, (2024)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)A two-head loss function for deep Average-K classification., , , and . CoRR, (2023)