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LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification., , , , , , , , , and 14 other author(s). ECIR (6), volume 14613 of Lecture Notes in Computer Science, page 19-27. Springer, (2024)Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment., , , , , and . PLoS Comput. Biol., (2021)LifeCLEF 2019: Biodiversity Identification and Prediction Challenges., , , , , , , , , and 3 other author(s). ECIR (2), volume 11438 of Lecture Notes in Computer Science, page 275-282. Springer, (2019)Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing., , , , , , , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1954-1971. CEUR-WS.org, (2023)Overview of GeoLifeCLEF 2018: Location-based Species Recommendation., , , , and . CLEF (Working Notes), volume 2125 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)The GeoLifeCLEF 2020 Dataset., , , , , , , , and . CoRR, (2020)Evaluation of Deep Species Distribution Models using Environment and Co-occurrences., , , and . CoRR, (2019)Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi., , , , , , , , , and 12 other author(s). CLEF, volume 14163 of Lecture Notes in Computer Science, page 416-439. Springer, (2023)LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges., , , , , , , , , and 12 other author(s). ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 568-576. Springer, (2023)LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges., , , , , , , , , and 6 other author(s). ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 542-549. Springer, (2020)