- ORCID iD
- 0000-0002-5035-4419
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- Journal Article
- A1
- open access
Benchmarking whole knowledge graph embedding techniques
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- Journal Article
- A1
- open access
Hierarchical pattern matching for anomaly detection in time series
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- Journal Article
- A1
- open access
A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project
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- Journal Article
- A1
- open access
Event-driven dashboarding and feedback for improved event detection in predictive maintenance applications
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- Journal Article
- A1
- open access
FLAGS : a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning
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- Conference Paper
- C1
- open access
Unsupervised anomaly detection for communication networks : an autoencoder approach
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- Journal Article
- A1
- open access
Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications
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- Journal Article
- A1
- open access
A generalized matrix profile framework with support for contextual series analysis
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- Journal Article
- A1
- open access
A dynamic dashboarding application for fleet monitoring using semantic web of things technologies
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- Conference Paper
- C1
- open access
Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses