Jurgen van den Hoogen

14 papers B 1C 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A comparison of graph construction techniques for applying graph signal processing to soil moisture networks. Discov. Comput. Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
2026	J	`jnl`	Finding One's Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector. IEEE Access Dan Hudson, Jurgen van den Hoogen, Martin Atzmueller
2024	—	`conf`	Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters. ICDEW Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
2024	C	`conf`	Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors. ICMLA Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
2024	J	`jnl`	Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches. Int. J. Data Sci. Anal. Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller
2024	J	`jnl`	Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study. Int. J. Data Sci. Anal. Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller
2024	—	`conf`	Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults. CAI Dan Hudson, Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller
2024	J	`jnl`	Tailoring the Hyperparameters of a Wide-Kernel Convolutional Neural Network to Fit Different Bearing Fault Vibration Datasets. CoRR Dan Hudson, Jurgen van den Hoogen, Martin Atzmueller
2023	J	`jnl`	Graph neural networks for multivariate time series regression with application to seismic data. Int. J. Data Sci. Anal. Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller
2023	B	`conf`	Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study. DSAA Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller
2022	J	`jnl`	Multivariate Time Series Regression with Graph Neural Networks. CoRR Stefan Bloemheuvel, Jurgen van den Hoogen, Dario Jozinovic, Alberto Michelini, Martin Atzmueller
2021	J	`jnl`	A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring. CoRR Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller
2021	J	`jnl`	A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring. Appl. Netw. Sci. Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller
2020	—	`conf`	Graph Signal Processing on Complex Networks for Structural Health Monitoring. COMPLEX NETWORKS (1) Stefan Bloemheuvel, Jurgen van den Hoogen, Martin Atzmueller