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ORCIDJurgen van den Hoogen
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2020 – today
- 2024
[j4]Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller:
Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches. Int. J. Data Sci. Anal. 18(2): 157-174 (2024)- [j3]Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller:
Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study. Int. J. Data Sci. Anal. 18(4): 423-444 (2024) - [c7]Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller:
Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters. ICDEW 2024: 91-95 - [c6]Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller:
Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors. ICMLA 2024: 963-968 - [c5]Dan Hudson, Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller:
Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults. CAI 2024: 1350-1356 - [i3]Dan Hudson, Jurgen van den Hoogen, Martin Atzmueller:
Tailoring the Hyperparameters of a Wide-Kernel Convolutional Neural Network to Fit Different Bearing Fault Vibration Datasets. CoRR abs/2411.15191 (2024) - 2023
- [j2]Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller:
Graph neural networks for multivariate time series regression with application to seismic data. Int. J. Data Sci. Anal. 16(3): 317-332 (2023) - [c4]Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller:
Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study. DSAA 2023: 1-2 - 2022
- [c3]Jurgen O. D. van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller:
Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs. LWDA 2022: 79-90 - [i2]Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller:
Multivariate Time Series Regression with Graph Neural Networks. CoRR abs/2201.00818 (2022) - 2021
- [j1]Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller
:
A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring. Appl. Netw. Sci. 6(1): 97 (2021) - [i1]Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller:
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring. CoRR abs/2105.05316 (2021) - 2020
- [c2]Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller:
Graph Signal Processing on Complex Networks for Structural Health Monitoring. COMPLEX NETWORKS (1) 2020: 249-261 - [c1]Jurgen O. D. van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller:
An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis. ICDM (Workshops) 2020: 275-283
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