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Stefan Bloemheuvel

PhD Candidate at Tilburg University

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I am a PhD Candidate at Tilburg University, start date 01/07/2019, under supervision of Prof. Dr. Martin Atzmueller.
My PhD Thesis is on Deep Learning with Graph-Structured data, mostly originating from Time Series.


Selected Publications

Graph Construction on Complex Spatio-Temporal Data
for Enhancing Graph Neural Network-Based Approaches

Author(s): Stefan Bloemheuvel, Jurgen van den Hoogen and Martin Atzmueller

Journal/Conference: International Journal of Data Science and Analytics


Graph neural networks for multivariate time series regression
with application to seismic data

Author(s): Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinović, Alberto Michelini, Martin Atzmueller

Journal/Conference: International Journal of Data Science and Analytics


Identifying Informative Nodes in Attributed Spatial Sensor Networks
Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach

Author(s): Leonid Schwenke, Stefan Bloemheuvel and Martin Atzmueller

Journal/Conference: The International FLAIRS Conference Proceedings 36


Rapid prediction of ground shaking intensity with Graph Neural Networks

Author(s): Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinović, Alberto Michelini, Martin Atzmueller

Journal/Conference: Proceedings of the Third European Conference on Earthquake Engineering and Seismology–3ECEES

Misc. Work


An Improved wide-kernel CNN for classifying multivariate signals in fault diagnosis

Author(s): Jurgen van den Hoogen, Stefan Bloemheuvel and Martin Atzmueller

Journal/Conference: 2020 International Conference on Data Mining Workshops (ICDMW), 275-283


Classifying multivariate signals in rolling bearing fault detection using adaptive wide-kernel CNNs

Author(s): Jurgen van den Hoogen, Stefan Bloemheuvel and Martin Atzmueller

Journal/Conference: Applied Sciences 11 (23)




Full list of publications on Google Scholar

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