Onderzoeker
Sander Vanden Hautte
- Trefwoorden:Machinaal Leren, Semantisch web
- Disciplines:Scientific computing, Computertheorie, Computer hardware, Modellering en simulatie, Andere computer ingenieurswetenschappen, informatietechnologie en mathematische ingenieurswetenschappen, Elektronica
Affiliaties
- Vakgroep Elektronica en Informatiesystemen (Departement)
Lid
Vanaf24 aug 2017 → 26 sep 2021
Publicaties
1 - 10 van 10
- Benchmarking whole knowledge graph embedding techniques(2024)
Auteurs: Pieter Bonte, Sander Vanden Hautte, Filip De Turck, Sofie Van Hoecke, Femke Ongenae
Pagina's: 163 - 184 - FLAGS : a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning(2021)
Auteurs: Bram Steenwinckel, Dieter De Paepe, Sander Vanden Hautte, Pieter Heyvaert, Mohamed Bentefrit, Pieter Moens, Anastasia Dimou, Bruno Van Den Bossche, Filip De Turck, Sofie Van Hoecke, et al.
Pagina's: 30 - 48 - Event-driven dashboarding and feedback for improved event detection in predictive maintenance applications(2021)
Auteurs: Pieter Moens, Sander Vanden Hautte, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Steven Vandekerckhove, Femke Ongenae, Sofie Van Hoecke
- A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project(2021)
Auteurs: Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Pieter Moens, Jasper Vaneessen, Steven Vandekerckhove, Bruno Volckaert, Femke Ongenae, Sofie Van Hoecke
- Unsupervised anomaly detection for communication networks : an autoencoder approach(2020)Volume: 1325
Auteurs: Pieter Bonte, Sander Vanden Hautte, Annelies Lejon, Veerle Ledoux, Filip De Turck, Sofie Van Hoecke, Femke Ongenae, Joao Gama
Pagina's: 160 - 172 - A generalized matrix profile framework with support for contextual series analysis(2020)
Auteurs: Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Filip De Turck, Femke Ongenae, Olivier Janssens, Sofie Van Hoecke
- Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications(2020)
Auteurs: Pieter Moens, Vincent Bracke, Colin Soete, Sander Vanden Hautte, Ted Ooijevaar, Steven Devos, Bruno Volckaert, Sofie Van Hoecke
- A dynamic dashboarding application for fleet monitoring using semantic web of things technologies(2020)
Auteurs: Sander Vanden Hautte, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, Sofie Van Hoecke, Danh Le Phuoc, Arne Bröring, et al.
- Automated extraction of rules and knowledge from risk analyses : a ventilation unit demo(2018)Volume: 2180
Auteurs: Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae, Marieke van Erp, et al.
Aantal pagina's: 1 - Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses(2018)Volume: 2213
Auteurs: Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae
Pagina's: 17 - 31