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Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge., , , , , , , , , and 5 other author(s). DCASE, Tampere University, (2022)ATGNN: Audio Tagging Graph Neural Network., , , , and . CoRR, (2023)Prototypical Networks for Domain Adaptation in Acoustic Scene Classification., , and . ICASSP, page 346-350. IEEE, (2021)Learning to detect an animal sound from five examples., , , , , , , , , and 7 other author(s). CoRR, (2023)Hypernetworks for Sound event Detection: a Proof-of-Concept., , and . EUSIPCO, page 429-433. IEEE, (2022)ATGNN: Audio Tagging Graph Neural Network., , , , and . IEEE Signal Process. Lett., (2024)Learning to detect an animal sound from five examples., , , , , , , , , and 8 other author(s). Ecol. Informatics, (November 2023)Few-shot bioacoustic event detection at the DCASE 2023 challenge., , , , , , , , , and 5 other author(s). CoRR, (2023)Audio Tagging using Linear Noise Modelling Layer., , and . DCASE, page 234-238. (2019)Few-Shot Bioacoustic Event Detection: A New Task at the DCASE 2021 Challenge., , , , , , , , and . DCASE, page 145-149. (2021)