- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Kiel, Christian-Albrechts-Universität zu Kiel, Dissertation, 2024
- Keyword
-
Anomalieerkennung
Robustheit
Datenanalyse
Maschinelles Lernen
Ausreißer
Internet
- Event
-
Veröffentlichung
- (where)
-
Kiel
- (who)
-
Universitätsbibliothek Kiel
- (when)
-
2024
- Creator
-
Lohrer, Andreas
- Contributor
- URN
-
urn:nbn:de:gbv:8:3-2024-01199-6
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lohrer, Andreas
- Kröger, Peer
- Tomforde, Sven
- Universitätsbibliothek Kiel
Time of origin
- 2024
Other Objects (12)
Towards resolving the gallium anomaly
Towards flexibility and robustness of LSM trees
Towards speech robustness for acoustic scene classification
Modelling project feasibility robustness by use of scenarios
Robustness modelling and assessment of interdependent smart grids
Parkinsonian gait modelling from an anomaly deep representation
The largest nonidentifiable outlier: A comparison of multivariate simultaneous outlier identification rules
The Largest Nonidentifiable Outlier : A Comparison of Multivariate Simultaneous Outlier Identification Rules
Automatic optimization of outlier detection ensembles using a limited number of outlier examples
Identifying outlier scores and outlier jurors to reduce manipulation in classical music competitions
Outlier Detection in GARCH Models
Online boxplot derived outlier detection
Towards resolving the gallium anomaly
Towards flexibility and robustness of LSM trees
Towards speech robustness for acoustic scene classification
Modelling project feasibility robustness by use of scenarios
Robustness modelling and assessment of interdependent smart grids
Parkinsonian gait modelling from an anomaly deep representation
The largest nonidentifiable outlier: A comparison of multivariate simultaneous outlier identification rules
The Largest Nonidentifiable Outlier : A Comparison of Multivariate Simultaneous Outlier Identification Rules
Automatic optimization of outlier detection ensembles using a limited number of outlier examples
Identifying outlier scores and outlier jurors to reduce manipulation in classical music competitions
Outlier Detection in GARCH Models
Online boxplot derived outlier detection
Towards resolving the gallium anomaly
Towards flexibility and robustness of LSM trees
Towards speech robustness for acoustic scene classification
Modelling project feasibility robustness by use of scenarios
Robustness modelling and assessment of interdependent smart grids
Parkinsonian gait modelling from an anomaly deep representation
The largest nonidentifiable outlier: A comparison of multivariate simultaneous outlier identification rules
The Largest Nonidentifiable Outlier : A Comparison of Multivariate Simultaneous Outlier Identification Rules
Automatic optimization of outlier detection ensembles using a limited number of outlier examples
Identifying outlier scores and outlier jurors to reduce manipulation in classical music competitions
Outlier Detection in GARCH Models