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A Baseline for Large-Scale Bird Species Identification in Field Recordings.

, , , , and . CLEF (Working Notes), volume 2125 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)

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Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction., , , , , , , , , and 9 other author(s). CLEF, volume 13390 of Lecture Notes in Computer Science, page 257-285. Springer, (2022)Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization., , , , , , , , and . DCASE, page 144-148. (2019)Seeing biodiversity: perspectives in machine learning for wildlife conservation., , , , , , , , , and 8 other author(s). CoRR, (2021)Global Birdsong Embeddings Enable Superior Transfer Learning for Bioacoustic Classification, , , and . Scientific Reports, (2023)One size fits all? Adaptation of trained CNNs to new marine acoustic environments., , , , and . Ecol. Informatics, (December 2023)Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours., , , , , , , , , and 1 other author(s). IJCNN, page 1-10. IEEE, (2020)GIBBONR: An R package for the detection and classification of acoustic signals using machine learning., and . CoRR, (2019)Feature embeddings from the BirdNET algorithm provide insights into avian ecology., , , , and . Ecol. Informatics, (May 2023)Classification of group-specific variations in songs within House Wren species using machine learning models., , and . Ecol. Informatics, (May 2023)Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction., , , , , , , , , and 9 other author(s). CLEF, volume 12880 of Lecture Notes in Computer Science, page 371-393. Springer, (2021)