Manage settings
MENU
About this site
In het Nederlands
Home
Researchers
Projects
Organisations
Outputs & Impact
Infrastructure
Contact
Research Explorer
Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.
Researcher
Michael Weyns
Profile
Projects
Publications & Research Data
Activities
Awards & Distinctions
Patents
11
Results
2025
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
U
Journal Article
in
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
2025
Explainable knowledge graph embeddings for industrial process monitoring & control
Michael Weyns
Thibault Blyau
Bram Steenwinckel
Filip De Turck
Sofie Van Hoecke
Femke Ongenae
A1
Journal Article
in
INFORMATION FUSION
2025
Fuzzy constraints for knowledge graph embeddings
Michael Weyns
Pieter Bonte
Filip De Turck
Femke Ongenae
A1
Journal Article
in
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
2025
2023
A microservice architecture for leak localization in water distribution networks using hybrid AI
Ganjour Mazaev
Michael Weyns
Pieter Moens
Pieter Jan Haest
Filip Vancoillie
Guido Vaes
Joeri Debaenst
Aagje Waroux
Kris Marlein
Femke Ongenae
et al.
A1
Journal Article
in
JOURNAL OF HYDROINFORMATICS
2023
Leak localization in water distribution networks using GIS-Enhanced autoencoders
Michael Weyns
Ganjour Mazaev
Guido Vaes
Filip Vancoillie
Filip De Turck
Sofie Van Hoecke
Femke Ongenae
A1
Journal Article
in
URBAN WATER JOURNAL
2023
Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach
Ganjour Mazaev
Michael Weyns
Filip Vancoillie
Guido Vaes
Femke Ongenae
Sofie Van Hoecke
A1
Journal Article
in
WATER SUPPLY
2023
2022
Hybrid machine learning for leak localization in the drinking water grid
Ganjour Mazaev
Michael Weyns
Femke Ongenae
Sofie Van Hoecke
C3
Conference
2022
INK : knowledge graph embeddings for node classification
Bram Steenwinckel
Gilles Vandewiele
Michael Weyns
Terencio Agozzino
Filip De Turck
Femke Ongenae
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2022
Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier
Ganjour Mazaev
Michael Weyns
Filip Vancoillie
Guido Vaes
Femke Ongenae
Sofie Van Hoecke
C1
Conference
2022
2021
Walk extraction strategies for node embeddings with RDF2Vec in knowledge graphs
Bram Steenwinckel
Gilles Vandewiele
Pieter Bonte
Michael Weyns
Heiko Paulheim
Petar Ristoski
Filip De Turck
Femke Ongenae
P1
Conference
2021
2020
Conditional constraints for knowledge graph embeddings
Michael Weyns
Pieter Bonte
Bram Steenwinckel
Filip De Turck
Femke Ongenae
C1
Conference
2020