Towards Adaptive Anomaly Detection and Root Cause Analysis by Automated Extraction of Knowledge from Risk Analyses. - Bram Steenwinckel; Pieter Heyvaert; Dieter De Paepe; Olivier Janssens; Sander Vanden Hautte; Anastasia Dimou; Filip De Turck; Sofie Van Hoecke; Femke Ongenae (SSN@ISWC, 2018)

Automated Extraction of Rules and Knowledge from Risk Analyses: a Ventilation Unit Demo. - Bram Steenwinckel; Pieter Heyvaert; Dieter De Paepe; Olivier Janssens; Sander Vanden Hautte; Anastasia Dimou; Filip De Turck; Sofie Van Hoecke; Femke Ongenae (ISWC (P&D/Industry/BlueSky), 2018)

Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach. - Pieter Bonte; Sander Vanden Hautte; Annelies Lejon; Veerle Ledoux; Filip De Turck; Sofie Van Hoecke; Femke Ongenae (IoT Streams/ITEM@PKDD/ECML, 2020)

A generalized matrix profile framework with support for contextual series analysis. - Dieter De Paepe; Sander Vanden Hautte; Bram Steenwinckel; Filip De Turck; Femke Ongenae; Olivier Janssens; Sofie Van Hoecke (Eng. Appl. Artif. Intell., 2020)

A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies. - Sander Vanden Hautte; Pieter Moens; Joachim Van Herwegen; Dieter De Paepe; Bram Steenwinckel; Stijn Verstichel; Femke Ongenae; Sofie Van Hoecke (Sensors, 2020)

Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications. - Pieter Moens; Vincent Bracke; Colin Soete; Sander Vanden Hautte; Diego Nieves Avendano; Ted Ooijevaar; Steven Devos; Bruno Volckaert; Sofie Van Hoecke (Sensors, 2020)

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; Pieter Heyvaert; Mohamed Bentefrit; Pieter Moens; Anastasia Dimou; Bruno Van Den Bossche; Filip De Turck; Sofie Van Hoecke; Femke Ongenae (Future Gener. Comput. Syst., 2021)

Hierarchical pattern matching for anomaly detection in time series. - Matthias Van Onsem; Dieter De Paepe; Sander Vanden Hautte; Pieter Bonte; Veerle Ledoux; Annelies Lejon; Femke Ongenae; Dennis Dreesen; Sofie Van Hoecke (Comput. Commun., 2022)

Benchmarking Whole Knowledge Graph Embedding Techniques. - Pieter Bonte; Sander Vanden Hautte; Filip De Turck; Sofie Van Hoecke; Femke Ongenae (Int. J. Softw. Eng. Knowl. Eng., 2024)

Enabling Cross-Context Learning with Knowledge Graphs for Anomaly Detection in Communications Networks. - Michael Weyns; Sander Vanden Hautte; Annelies Lejon; Veerle Ledoux; Pieter Bonte; Filip De Turck; Sofie Van Hoecke; Femke Ongenae (J. Netw. Syst. Manag., 2025)