- ORCID iD
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0000-0003-2035-8766
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- Journal Article
- A1
- open access
Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs
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Quality in color : using knowledge graphs for enhanced quality control in an automotive paintshop
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- Journal Article
- A1
- open access
VisCARS : knowledge graph-based context-aware recommender system for time-series data visualization and monitoring dashboards
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Context-aware machine learning for scalable IoT data analytics and visualization using semantic web technologies
(2024) -
- Conference Paper
- P1
- open access
Edge anomaly detection framework for AIOps in Cloud and IoT
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- Journal Article
- A1
- open access
A microservice architecture for leak localization in water distribution networks using hybrid AI
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- Conference Paper
- C1
- open access
From self-reporting to monitoring for improved migraine management
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- Conference Paper
- C3
- open access
Context-aware visualization recommendations reduce decision overload for operators
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- Journal Article
- A1
- open access
A semi-supervised approach with monotonic constraints for improved remaining useful life estimation
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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