Anomaly Detection and Characterisation with Few-Shot Machine Learning

Project Details

StatusFinished
Effective start/end date1/10/20 → 30/09/24

Funding

  • UK industry, commerce and public corporations: £30,000.00

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  • 1 Conference contribution

  • MetaAudio: A Few-Shot Audio Classification Benchmark

    Heggan, C., Budgett, S., Hospedales, T. M. & Yaghoobi Vaighan, M., 7 Sept 2022, Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I. Springer, Vol. 13529. p. 219–230 12 p. (Lecture Notes in Computer Science; vol. 13529).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
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