Browsing by author "Weyns, Michael"
Now showing items 1-7 of 7
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A microservice architecture for leak localization in water distribution networks using hybrid AI
Mazaev, Ganjour; Weyns, Michael; Moens, Pieter; Haest, Pieter Jan; Vancoillie, Filip; Vaes, Guido; Debaenst, Joeri; Waroux, Aagje; Marlein, Kris; Ongenae, Femke; Van Hoecke, Sofie (2023) -
Conditional constraints for knowledge graph embeddings
Weyns, Michael; Bonte, Pieter; Steenwinckel, Bram; De Turck, Filip; Ongenae, Femke (2020) -
INK: knowledge graph embeddings for node classification
Steenwinckel, Bram; Vandewiele, Gilles; Weyns, Michael; Agozzino, T.; De Turck, Filip; Ongenae, Femke (2022) -
Leak localization in water distribution networks by directly fitting the learning parameters of a Gaussian naive Bayes classifier
Mazaev, G.; Weyns, Michael; Vancoillie, F.; Vaes, G.; Ongenae, Femke; Van Hoecke, Sofie (2022) -
Leak localization in water distribution networks using GIS-Enhanced autoencoders
Weyns, Michael; Mazaev, Ganjour; Vaes, Guido; Vancoillie, Filip; De Turck, Filip; Van Hoecke, Sofie; Ongenae, Femke (2023) -
Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach
Mazaev, Ganjour; Weyns, Michael; Vancoillie, Filip; Vaes, Guido; Ongenae, Femke; Van Hoecke, Sofie (2023) -
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
Steenwinckel, Bram; Vandewiele, Gilles; Bonte, Pieter; Weyns, Michael; Paulheim, Heiko; Ristoski, Petar; De Turck, Filip; Ongenae, Femke (2021)