Sander Vanden Hautte

According to our database, Sander Vanden Hautte authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Benchmarking Whole Knowledge Graph Embedding Techniques.

Pieter Bonte, Sander Vanden Hautte, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Int. J. Softw. Eng. Knowl. Eng., January, 2024

2022

Hierarchical pattern matching for anomaly detection in time series.

Matthias Van Onsem, Dieter De Paepe, Sander Vanden Hautte, Pieter Bonte, Veerle Ledoux, Annelies Lejon, Femke Ongenae, Dennis Dreesen, Sofie Van Hoecke

Comput. Commun., 2022

2021

FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning.

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, Femke Ongenae

Future Gener. Comput. Syst., 2021

2020

Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications.

Pieter Moens, Vincent Bracke, Colin Soete, Sander Vanden Hautte, Diego Nieves Avendano, Ted Ooijevaar, Steven Devos, Bruno Volckaert, Sofie Van Hoecke

Sensors, 2020

A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies.

Sander Vanden Hautte, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, Sofie Van Hoecke

Sensors, 2020

A generalized matrix profile framework with support for contextual series analysis.

Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Filip De Turck, Femke Ongenae, Olivier Janssens, Sofie Van Hoecke

Eng. Appl. Artif. Intell., 2020

Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach.

Pieter Bonte, Sander Vanden Hautte, Annelies Lejon, Veerle Ledoux, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

2018

Automated Extraction of Rules and Knowledge from Risk Analyses: a Ventilation Unit Demo.

Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Towards Adaptive Anomaly Detection and Root Cause Analysis by Automated Extraction of Knowledge from Risk Analyses.

Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Proceedings of the 9th International Semantic Sensor Networks Workshop co-located with 17th International Semantic Web Conference, 2018