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3D convolutional recurrent neural networks for bird sound detection., , и . DCASE, стр. 108-112. (2018)Using Autoencoders to Visualize Big Environmental Audio., , , и . IV, стр. 13-18. IEEE, (2023)Listening to Save Wildlife: Lessons Learnt from Use of Acoustic Technology by a Species Recovery Team., , , и . Conference on Designing Interactive Systems, стр. 1335-1348. ACM, (2019)Catching Toad Calls in the Cloud: Commodity Edge Computing for Flexible Analysis of Big Sound Data., , , и . eScience, стр. 67-74. IEEE Computer Society, (2018)Co-designing technologies for citizen scientist engagement & saving species., , , и . OZCHI, стр. 651-653. ACM, (2017)Ecology Meets Computer Science: Designing Tools to Reconcile People, Data, and Practices., , , , и . CHI, стр. 1-13. ACM, (2020)Social Network Analysis of an Acoustic Environment: The Use of Visualised Data to Characterise Natural Habitats., , , , и . DICTA, стр. 1-7. IEEE, (2019)Reframing the design of context-aware computing., , , и . BCS HCI, стр. 52-57. ACM, (2011)Acoustic auto-encoders for biodiversity assessment., , , и . Ecol. Informatics, (2021)Analyzing Big Environmental Audio with Frequency Preserving Autoencoders., , , и . e-Science, стр. 70-79. IEEE, (2021)