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)

A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation. - Diego Nieves Avendano; Nathan Vandermoortele; Colin Soete; Pieter Moens; Agusmian Partogi Ompusunggu; Dirk Deschrijver; Sofie Van Hoecke (Sensors, 2022)

Edge Anomaly Detection Framework for AIOps in Cloud and IoT. - Pieter Moens; Bavo Andriessen; Merlijn Sebrechts; Bruno Volckaert; Sofie Van Hoecke (CLOSER, 2023)

Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop. - Bram Steenwinckel; Colin Soete; Pieter Moens; Joris Mussche; Sofie Van Hoecke; Femke Ongenae (ISWC (3), 2024)

Anomaly Detection on Dynamic Knowledge Graphs. - Pieter Moens; Bram Steenwinckel; Femke Ongenae; Bruno Volckaert; Sofie Van Hoecke (Zenodo, 2024)

VisCARS: Knowledge Graph-Based Context-Aware Recommender System for Time-Series Data Visualization and Monitoring Dashboards. - Pieter Moens; Bruno Volckaert; Sofie Van Hoecke (IEEE Trans. Vis. Comput. Graph., 2025)