Sander Vanden Hautte

FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

Bram Steenwinckel, Dieter De Paepe, Sander Vanden Hautte et al. · Future Generation Computer Systems · 2020 · 96 citations · Full text

Computing, Computer Science, Systems Engineering +17

Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications

Pieter Moens, Vincent Bracke, Colin Soete et al. · Sensors · 2020 · 48 citations · Full text

Engineering, Computer Science, Industrial Engineering +17

A generalized matrix profile framework with support for contextual series analysis

Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel et al. · Engineering Applications of Artificial Intelligence · 2020 · 29 citations · Full text

Computing, Data Science, Forecasting +8

A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies

Sander Vanden Hautte, Pieter Moens, Joachim Van Herwegen et al. · Sensors · 2020 · 15 citations · Full text

Computing, Information Technology, Visualization +14

Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses

Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe et al. · Ghent University Academic Bibliography (Ghent University) · 2018 · 10 citations · Full text

Computing, Systems Engineering, Knowledge Representation +16