Ghent University Academic Bibliography

Journal Article
A1
open access

Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs

Pieter Moens (UGent) , Bram Steenwinckel (UGent) , Femke Ongenae (UGent) , Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2026) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 23. p.1970-1988

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Quality in color : using knowledge graphs for enhanced quality control in an automotive paintshop

Bram Steenwinckel (UGent) , Colin Soete (UGent) , Pieter Moens (UGent) , Joris Mussche, Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2025) SEMANTIC WEB-ISWC 2024, PT III. In Lecture notes in computer science 15233. p.236-252

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Journal Article
A1
open access

VisCARS : knowledge graph-based context-aware recommender system for time-series data visualization and monitoring dashboards

Pieter Moens (UGent) , Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2025) IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. 31(9). p.4728-4745

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PhD Thesis

Context-aware machine learning for scalable IoT data analytics and visualization using semantic web technologies

Pieter Moens (UGent)

(2024)

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Conference Paper
P1
open access

Edge anomaly detection framework for AIOps in Cloud and IoT

Pieter Moens (UGent) , Bavo Andriessen, Merlijn Sebrechts (UGent) , Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2023) PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, CLOSER 2023. In CLOSER p.204-211

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Journal Article
A1
open access

A microservice architecture for leak localization in water distribution networks using hybrid AI

Ganjour Mazaev, Michael Weyns (UGent) , Pieter Moens (UGent) , Pieter Jan Haest, Filip Vancoillie, Guido Vaes, Joeri Debaenst, Aagje Waroux, Kris Marlein, Femke Ongenae (UGent) , et al.

(2023) JOURNAL OF HYDROINFORMATICS. 25(3). p.851-866

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Conference Paper
C3
open access

Context-aware visualization recommendations reduce decision overload for operators

Pieter Moens (UGent) , Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.

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Conference Paper
C1
open access

From self-reporting to monitoring for improved migraine management

Jonas Van Der Donckt (UGent) , Mathias De Brouwer (UGent) , Pieter Moens (UGent) , Marija Stojchevska (UGent) , Bram Steenwinckel (UGent) , Stef Pletinck (UGent) , Nicolas Vandenbussche (UGent) , Annelis Goris, Koen Paemeleire (UGent) , Femke Ongenae (UGent) , et al.

(2022) EmP : 1st RADar conference on Engineer meets Physician, Proceedings.

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Journal Article
A1
open access

A semi-supervised approach with monotonic constraints for improved remaining useful life estimation

Diego Nieves Avendano (UGent) , Nathan Vandemoortele (UGent) , Colin Soete (UGent) , Pieter Moens (UGent) , Agusmian Partogi Ompusunggu, Dirk Deschrijver (UGent) and Sofie Van Hoecke (UGent)

(2022) SENSORS. 22(4).

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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

Bram Steenwinckel (UGent) , Dieter De Paepe, Sander Vanden Hautte, Pieter Heyvaert (UGent) , Mohamed Bentefrit, Pieter Moens (UGent) , Anastasia Dimou (UGent) , Bruno Van Den Bossche (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) , et al.

(2021) FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. 116. p.30-48

Academic Bibliography

Toward context-aware anomaly detection for AIOps in microservices using dynamic knowledge graphs

Quality in color : using knowledge graphs for enhanced quality control in an automotive paintshop

VisCARS : knowledge graph-based context-aware recommender system for time-series data visualization and monitoring dashboards

Context-aware machine learning for scalable IoT data analytics and visualization using semantic web technologies

Edge anomaly detection framework for AIOps in Cloud and IoT

A microservice architecture for leak localization in water distribution networks using hybrid AI

Context-aware visualization recommendations reduce decision overload for operators

From self-reporting to monitoring for improved migraine management

A semi-supervised approach with monotonic constraints for improved remaining useful life estimation

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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