Academic Bibliography

Search 200 years of publications by Ghent University researchers.

dr. ir. Michael Weyns

Faculty of Engineering and Architecture > Department of Information technology

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Fuzzy constraints for knowledge graph embeddings

Michael Weyns (UGent) , Pieter Bonte (UGent) , Filip De Turck (UGent) and Femke Ongenae (UGent)

(2026) INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING. 36(1). p.1-49
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- PhD Thesis
Enhancing data analytics for industrial process monitoring and control by enabling semantic enrichment of machine learning tasks

Michael Weyns (UGent)

(2025)
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- Journal Article
- A1
- open access
Explainable knowledge graph embeddings for industrial process monitoring & control

Michael Weyns (UGent) , Thibault Blyau (UGent) , Bram Steenwinckel (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2025) INFORMATION FUSION. 123.
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Enabling cross-context learning with knowledge graphs for anomaly detection in communications networks

Michael Weyns (UGent) , Sander Vanden Hautte, Annelies Lejon (UGent) , Veerle Ledoux (UGent) , Pieter Bonte (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2025) JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT. 33(4).
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- Journal Article
- A1
- open access
Leak localization in water distribution networks using GIS-Enhanced autoencoders

Michael Weyns (UGent) , Ganjour Mazaev, Guido Vaes, Filip Vancoillie, Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2023) URBAN WATER JOURNAL. 20(7). p.859-881
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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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- Journal Article
- A1
- open access
Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

Ganjour Mazaev, Michael Weyns (UGent) , Filip Vancoillie, Guido Vaes, Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2023) WATER SUPPLY. 23(1). p.162-178
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- Conference Paper
- C1
- open access
Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier

Ganjour Mazaev, Michael Weyns (UGent) , Filip Vancoillie, Guido Vaes, Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2022) 2022 IEEE International Conference on Big Data (Big Data). p.4854-4859
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- Conference Paper
- C3
- open access
Hybrid machine learning for leak localization in the drinking water grid

Ganjour Mazaev, Michael Weyns (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2022) Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts.
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INK : knowledge graph embeddings for node classification

Bram Steenwinckel (UGent) , Gilles Vandewiele (UGent) , Michael Weyns (UGent) , Terencio Agozzino, Filip De Turck (UGent) and Femke Ongenae (UGent)

(2022) DATA MINING AND KNOWLEDGE DISCOVERY. 36(2). p.620-667

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