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Universitätsbibliographie

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Nr. Titel Autor Jahr
1 A scalable and transferable approach to combining emerging conservation technologies to identify biodiversity change after large disturbances Wood, Connor M.* et al. 2024
2 Using bioacoustics to enhance the efficiency of spotted owl surveys and facilitate forest restoration Kramer, H. Anu* et al. 2024
3 Using the BirdNET algorithm to identify wolves, coyotes, and potentially their interactions in a large audio dataset Sossover, Daniel et al. 2024
4 C 6 Audio- und Musik-Retrieval Eibl, Maximilian et al. 2023
5 Estimating population size for California spotted owls and barred owls across the Sierra Nevada ecosystem with bioacoustics Kelly, Kevin G. et al. 2023
6 Feature embeddings from the BirdNET algorithm provide insights into avian ecology McGinn, Kate et al. 2023
7 Global birdsong embeddings enable superior transfer learning for bioacoustic classification Ghani, Burooj* et al. 2023
8 Improving Learning-Based Birdsong Classification by Utilizing Combined Audio Augmentation Strategies Sampath Kumar, Arunodhayan* et al. 2023
9 LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges Joly, Alexis* et al. 2023
10 Overview of BirdCLEF 2023: Automated bird species identification in Eastern Africa Kahl, Stefan* et al. 2023
11 Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi Joly, Alexis et al. 2023
12 Pairing a user-friendly machine-learning animal sound detector with passive acoustic surveys for occupancy modeling of an endangered primate Wood, Connor M.* et al. 2023
13 Passive acoustic surveys and the BirdNET algorithm reveal detailed spatiotemporal variation in the vocal activity of two anurans Wood, Connor M.* et al. 2023
14 Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests Brunk, Kristin M.* et al. 2023
15 A Comparison of Text Selection Algorithms for Sequence-to-Sequence Neural TTS Taubert, Stefan* et al. 2022
16 Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings Kahl, Stefan et al. 2022
17 Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction Joly, Alexis* et al. 2022
18 The machine learning-powered BirdNET App reduces barriers to global bird research by enabling citizen science participation Wood, Connor M.* et al. 2022
19 BirdNET: A deep learning solution for avian diversity monitoring Kahl, Stefan* et al. 2021
20 Overview of BirdCLEF 2021: Bird call identification in soundscape recordings Kahl, Stefan et al. 2021
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