TimeFrame: A Novel Framework for Interpretable and Privacy-Preserving Deep Learning for Time Series Analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Kaiserslautern-Landau, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Dissertation, 2023
- Keyword
-
Privatsphäre
Maschinelles Lernen
Neuronales Netz
Datenanalyse
Deep Learning
Artificial Intelligence
Time Series
Deep Learning
Explainability
Privacy
- Event
-
Veröffentlichung
- (where)
-
Kaiserslautern-Landau
- (who)
-
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
- (when)
-
2023
- Creator
- Contributor
-
Dengel, Andreas
Vollmer, Sebastian
- DOI
-
10.26204/KLUEDO/7482
- URN
-
urn:nbn:de:hbz:386-kluedo-74825
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mercier, Dominique
- Dengel, Andreas
- Vollmer, Sebastian
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Time of origin
- 2023
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