Fourier transformation autoencoders for anomaly detection

Demetris Lappas; Vasileios Argyriou; Dimitrios Makris

doi:10.1109/ICASSP39728.2021.9415010

Fourier transformation autoencoders for anomaly detection

Kingston University

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

12 Downloads (Pure)

Original language	English
Title of host publication	Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers
DOIs	https://doi.org/10.1109/ICASSP39728.2021.9415010
Publication status	Published - 6 Jun 2021

Bibliographical note

Note: Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479

Organising Body: Institute of Electrical and Electronics Engineers

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

Computer science and informatics

Access to Document

10.1109/ICASSP39728.2021.9415010

Makris-D-48517-AAMAccepted author manuscript, 562 KBLicence: Unspecified

https://doi.org/10.1109/ICASSP39728.2021.9415010

Fourier transformation autoencoders for anomaly detection
Argyriou, V., Makris, D. & Lappas, D., 6 Jun 2021.
Research output: Contribution to conference › Paper › peer-review

Open Access
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10 Downloads (Pure)

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Lappas, D., Argyriou, V., & Makris, D. (2021). Fourier transformation autoencoders for anomaly detection. In Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers https://doi.org/10.1109/ICASSP39728.2021.9415010

Lappas, Demetris ; Argyriou, Vasileios ; Makris, Dimitrios. / Fourier transformation autoencoders for anomaly detection. Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2021.

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Lappas, D, Argyriou, V & Makris, D 2021, Fourier transformation autoencoders for anomaly detection. in Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP39728.2021.9415010

Fourier transformation autoencoders for anomaly detection. / Lappas, Demetris; Argyriou, Vasileios ; Makris, Dimitrios.
Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2021.

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

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N1 - Note: Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers

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Lappas D, Argyriou V , Makris D. Fourier transformation autoencoders for anomaly detection. In Published in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 9781728176062, ISSN 1520-6149, pp. 1475-1479 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2021 doi: 10.1109/ICASSP39728.2021.9415010