Universitätsbibliothek
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 Estimating population size for California spotted owls and barred owls across the Sierra Nevada ecosystem with bioacoustics Kelly, Kevin G. et al. 2023
4 Feature embeddings from the BirdNET algorithm provide insights into avian ecology McGinn, Kate et al. 2023
5 Global birdsong embeddings enable superior transfer learning for bioacoustic classification Ghani, Burooj* et al. 2023
6 LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges Joly, Alexis* et al. 2023
7 Overview of BirdCLEF 2023: Automated bird species identification in Eastern Africa Kahl, Stefan* et al. 2023
8 Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi Joly, Alexis et al. 2023
9 Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings Kahl, Stefan et al. 2022
10 Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction Joly, Alexis* et al. 2022
11 The machine learning-powered BirdNET App reduces barriers to global bird research by enabling citizen science participation Wood, Connor M.* et al. 2022
12 BirdNET: A deep learning solution for avian diversity monitoring Kahl, Stefan* et al. 2021
13 Overview of BirdCLEF 2021: Bird call identification in soundscape recordings Kahl, Stefan et al. 2021
14 Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction Joly, Alexis* et al. 2021
15 Parsing Birdsong with Deep Audio Embeddings Tolkova, Irina* et al. 2021
16 Survey coverage, recording duration, and community composition affect observed species richness in passive acoustic surveys Wood, Connor M.* et al. 2021
17 A Baseline for Large-Scale Bird Species Identification in Field Recordings Kahl, Stefan et al. 2018
18 BirdNET: Real-time Bird Sound Identification using Convolutional Neural Networks Kahl, Stefan et al. 2018
19 Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System Kahl, Stefan et al. 2018
20 Large-Scale Bird Sound Classification using Convolutional Neural Networks Kahl, Stefan et al. 2017
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