Machine Learning for Anomaly Detection under Constraints

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Alternative title: Maschinelles Lernen für Anomalieerkennung unter Einschränkungen

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: München, Technische Universität München, Dissertation, 2019

Keyword: Machine learning

Event: Veröffentlichung

(where): München

(who): Universitätsbibliothek der TU München

(when): 2019

Creator: Kolosnjaji, Bojan

Contributor: Eckert, Claudia
Eckert, Claudia
Zarras, Apostolis

URN: urn:nbn:de:bvb:91-diss-20191213-1485144-1-6

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:55 PM CET

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Associated

Kolosnjaji, Bojan
Eckert, Claudia
Zarras, Apostolis
Universitätsbibliothek der TU München

Time of origin

2019

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Machine Learning for Anomaly Detection under Constraints

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Other Objects (12)

A scalable machine learning system for anomaly detection in manufacturing

Performance anomaly detection in microservice architectures under continuous change

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Representation Learning for Anomaly Detection

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Industrial anomaly detection with normalizing flows

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A scalable machine learning system for anomaly detection in manufacturing

Performance anomaly detection in microservice architectures under continuous change

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Counterexample explanation by anomaly detection

Representation Learning for Anomaly Detection

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Network traffic anomaly detection and evaluation

Industrial anomaly detection with normalizing flows

Anomaly detection in cloud computing environments

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A scalable machine learning system for anomaly detection in manufacturing

Performance anomaly detection in microservice architectures under continuous change

Multi-perspective anomaly detection

Program analysis for anomaly detection

Counterexample explanation by anomaly detection

Representation Learning for Anomaly Detection

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Network traffic anomaly detection and evaluation

Industrial anomaly detection with normalizing flows

Anomaly detection in cloud computing environments

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