FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning B Steenwinckel, D De Paepe, S Vanden Hautte, P Heyvaert, M Bentefrit, ... Future Generation Computer Systems 116, 30-48, 2021 | 88 | 2021 |
Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications P Moens, V Bracke, C Soete, S Vanden Hautte, D Nieves Avendano, ... Sensors 20 (15), 4308, 2020 | 51 | 2020 |
A generalized matrix profile framework with support for contextual series analysis D De Paepe, S Vanden Hautte, B Steenwinckel, F De Turck, F Ongenae, ... Engineering Applications of Artificial Intelligence 90, 103487, 2020 | 23 | 2020 |
Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses B Steenwinckel, P Heyvaert, D De Paepe, O Janssens, S Vanden Hautte, ... 9th International Semantic Sensor Networks Workshop, Co-Located with 17th …, 2018 | 21 | 2018 |
A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies S Vanden Hautte, P Moens, J Van Herwegen, D De Paepe, ... Sensors 20 (4), 1152, 2020 | 16 | 2020 |
A complete software stack for IoT time-series analysis that combines semantics and machine learning—lessons learned from the Dyversify project D De Paepe, S Vanden Hautte, B Steenwinckel, P Moens, J Vaneessen, ... Applied Sciences 11 (24), 11932, 2021 | 7 | 2021 |
Event-driven dashboarding and feedback for improved event detection in predictive maintenance applications P Moens, S Vanden Hautte, D De Paepe, B Steenwinckel, S Verstichel, ... Applied Sciences 11 (21), 10371, 2021 | 7 | 2021 |
Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach P Bonte, S Vanden Hautte, A Lejon, V Ledoux, F De Turck, S Van Hoecke, ... IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 4 | 2020 |
Hierarchical pattern matching for anomaly detection in time series M Van Onsem, D De Paepe, SV Hautte, P Bonte, V Ledoux, A Lejon, ... Computer Communications 193, 75-81, 2022 | 3 | 2022 |
Automated extraction of rules and knowledge from risk analyses: a ventilation unit demo B Steenwinckel, P Heyvaert, D De Paepe, O Janssens, S Vanden Hautte, ... 17th International Semantic Web conference (ISWC 2018) 2180, 2018 | 3 | 2018 |
Benchmarking Whole Knowledge Graph Embedding Techniques. P Bonte, SV Hautte, F De Turck, S Van Hoecke, F Ongenae Int. J. Softw. Eng. Knowl. Eng. 34 (1), 163-184, 2024 | | 2024 |
Benchmarking Embedding Techniques for Knowledge Graph Comparison P Bonte, SV Hautte, F De Turck, S Van Hoecke, F Ongenae | | |
Implementatie van een verrijkingsraamwerk voor het beschrijven van linked data provenance S Vanden Hautte Hogeschool West-Vlaanderen, 0 | | |