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Audio-based identification of beehive states

, , , , , and . ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 8256--8260. IEEE, (2019)

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Towards Joint Sound Scene and Polyphonic Sound Event Recognition., , and . INTERSPEECH, page 4594-4598. ISCA, (2019)Rank-Based Loss For Learning Hierarchical Representations., and . ICASSP, page 3623-3627. IEEE, (2022)Few-Shot Bioacoustic Event Detection at the DCASE 2022 Challenge., , , , , , , , , and 5 other author(s). DCASE, Tampere University, (2022)Comparison of Feature Extraction Methods for Sound-Based Classification of Honey Bee Activity., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2022)Audio-based identification of beehive states, , , , , and . ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 8256--8260. IEEE, (2019)Learning to detect an animal sound from five examples., , , , , , , , , and 8 other author(s). Ecol. Informatics, (November 2023)Learning to detect an animal sound from five examples., , , , , , , , , and 7 other author(s). CoRR, (2023)To bee or not to bee: Investigating machine learning approaches for beehive sound recognition., and . DCASE, page 133-137. (2018)Rank-based loss for learning hierarchical representations., and . CoRR, (2021)To bee or not to bee: An annotated dataset for beehive sound recognition, and . (July 2018)