Main requirements of end-to-end deep learning models for biomedical time series classification in healthcare environments
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Procedia Computer Science 207, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES2022, S. 3032-3040
- Ereignis
-
Veröffentlichung
- (wo)
-
Reutlingen
- (wer)
-
Hochschule Reutlingen
- (wann)
-
2022
- Urheber
- DOI
-
10.1016/j.procs.2022.09.532
- URN
-
urn:nbn:de:bsz:rt2-opus4-38584
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:52 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Serrano Alarcón, Ángel
- Martínez Madrid, Natividad
- Seepold, Ralf E. D.
- Ortega, Juan Antonio
- Hochschule Reutlingen
Entstanden
- 2022
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