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Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data.

, , , , , и . CLEF (Working Notes), том 3180 из CEUR Workshop Proceedings, стр. 1940-1956. CEUR-WS.org, (2022)

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Teaching Computer Vision for Ecology., , , , , , , и . CoRR, (2023)LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction., , , , , , , , , и 9 other автор(ы). ECIR (2), том 13186 из Lecture Notes in Computer Science, стр. 390-399. Springer, (2022)LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges., , , , , , , , , и 5 other автор(ы). ECIR (2), том 12657 из Lecture Notes in Computer Science, стр. 601-607. Springer, (2021)Spatial Implicit Neural Representations for Global-Scale Species Mapping., , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 6320-6342. PMLR, (2023)Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data., , , , , и . CLEF (Working Notes), том 3180 из CEUR Workshop Proceedings, стр. 1940-1956. CEUR-WS.org, (2022)Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF)., , , , , , и . CLEF (Working Notes), том 2696 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Benchmarking Representation Learning for Natural World Image Collections., , , , , и . CVPR, стр. 12884-12893. Computer Vision Foundation / IEEE, (2021)Multi-Label Learning From Single Positive Labels., , , , , и . CVPR, стр. 933-942. Computer Vision Foundation / IEEE, (2021)Species Distribution Modeling for Machine Learning Practitioners: A Review., , , , и . COMPASS, стр. 329-348. ACM, (2021)Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction., , , , , , , , , и 9 other автор(ы). CLEF, том 12880 из Lecture Notes in Computer Science, стр. 371-393. Springer, (2021)