Jurgen van den Hoogen

According to our database, Jurgen van den Hoogen authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study.

Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller

Int. J. Data Sci. Anal., October, 2024

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches.

Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller

Int. J. Data Sci. Anal., August, 2024

Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters.

Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023

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

Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller

Int. J. Data Sci. Anal., September, 2023

2022

Multivariate Time Series Regression with Graph Neural Networks.

Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller

CoRR, 2022

Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs.

Jurgen O. D. van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

2021

A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring.

Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller

Appl. Netw. Sci., 2021

2020

An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis.

Jurgen O. D. van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Graph Signal Processing on Complex Networks for Structural Health Monitoring.

Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller

Proceedings of the Complex Networks & Their Applications IX, 2020