Research Explorer

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Project

Enhancing data analytics for IoT by enabling semantic enrichment of machine learning tasks

Outputs and Outcomes

Publications

Explainable knowledge graph embeddings for industrial process monitoring & control

Michael WeynsThibault BlyauBram SteenwinckelFilip De TurckSofie Van HoeckeFemke Ongenae

A1 Journal Article in INFORMATION FUSION

Enabling Cross-Context Learning with Knowledge Graphs for Anomaly Detection in Communications Networks

Michael WeynsSander Vanden HautteAnnelies LejonVeerle LedouxPieter BonteFilip De TurckSofie Van HoeckeFemke Ongenae

U Journal Article in JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT

Leak localization in water distribution networks using GIS-Enhanced autoencoders

Michael WeynsGanjour MazaevGuido VaesFilip VancoillieFilip De TurckSofie Van HoeckeFemke Ongenae

A1 Journal Article in URBAN WATER JOURNAL

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

Ganjour MazaevMichael WeynsPieter MoensPieter Jan HaestFilip VancoillieGuido VaesJoeri DebaenstAagje WarouxKris MarleinFemke OngenaeSofie Van Hoecke et al.

A1 Journal Article in JOURNAL OF HYDROINFORMATICS

Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

Ganjour MazaevMichael WeynsFilip VancoillieGuido VaesFemke OngenaeSofie Van Hoecke

A1 Journal Article in WATER SUPPLY

INK : knowledge graph embeddings for node classification

Bram SteenwinckelGilles VandewieleMichael WeynsTerencio AgozzinoFilip De TurckFemke Ongenae

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY