Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Michael Weyns

Faculty of Engineering and Architecture > Department of Information technology

Work address: Technologiepark Zwijnaarde 126
9052 Zwijnaarde
Email: Michael.Weyns@UGent.be

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- Journal Article
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Leak localization in water distribution networks using GIS-Enhanced autoencoders

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

(2023) URBAN WATER JOURNAL.
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A microservice architecture for leak localization in water distribution networks using hybrid AI

Ganjour Mazaev (UGent) , 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.
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Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

Ganjour Mazaev (UGent) , 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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- C1
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Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier

Ganjour Mazaev (UGent) , 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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- C3
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Hybrid machine learning for leak localization in the drinking water grid

Ganjour Mazaev (UGent) , 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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Walk extraction strategies for node embeddings with RDF2Vec in knowledge graphs

Bram Steenwinckel (UGent) , Gilles Vandewiele (UGent) , Pieter Bonte (UGent) , Michael Weyns (UGent) , Heiko Paulheim, Petar Ristoski, Filip De Turck (UGent) and Femke Ongenae (UGent)

(2021) DATABASE AND EXPERT SYSTEMS APPLICATIONS - DEXA 2021 WORKSHOPS. In Communications in Computer and Information Science 1479. p.70-80
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Conditional constraints for knowledge graph embeddings

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

(2020) Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020). In CEUR Workshop Proceedings 2635.