Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings

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SYSNO	0536614
Title	Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings
Author(s)	Šabata, T. (CZ) Holeňa, Martin (UIVT-O)_{SAI, RID}
Source Title	Proceedings of the Workshop on Interactive Adaptive Learning. S. 72-77. - Aachen : Technical University & CreateSpace Independent Publishing, 2020 / Kottke D. ; Krempl G. ; Lemaire V. ; Holzinger A. ; Calma A.
Conference	IAL 2020: International Workshop on Interactive Adaptive Learning /4./, 14.09.2020, Virtual Ghent - 14.09.2020
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	GA18-18080S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	DE
Keywords	Active Learning * Anomaly detection * LSTM-Autoencoder * Time series
Cooperating institutions	Fakulta informačních technologií ČVUT (Czech Republic)
URL	http://ceur-ws.org/Vol-2660/ialatecml_shortpaper1.pdf
Permanent Link	http://hdl.handle.net/11104/0314366

	File	Download	Size	Commentary	Version	Access
	0536614-aw.pdf	0	527.4 KB	volně online	Publisher’s postprint	open-access

Number of the records: 1