Dieter De Paepe
- ORCID iD
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0000-0002-6661-8474
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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
An incremental grey-box current regression model for anomaly detection of resistance mash seam welding in steel mills
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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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Insight mining in time series data with applications for anomaly detection
(2021) -
- 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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Mining recurring patterns in real-valued time series using the radius profile
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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
- P1
- open access
Implications of Z-normalization in the matrix profile