Graph Signal Processing on Complex Networks for Structural Health Monitoring. - Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller (COMPLEX NETWORKS (1), 2020)

An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis. - Jurgen O. D. van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller (ICDM (Workshops), 2020)

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)

Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs. - Jurgen O. D. van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller (LWDA, 2022)

Multivariate Time Series Regression with Graph Neural Networks. - Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller (CoRR, 2022)

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., 2023)

Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters. - Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller (ICDEW, 2024)

Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors. - Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller (ICMLA, 2024)

Tailoring the Hyperparameters of a Wide-Kernel Convolutional Neural Network to Fit Different Bearing Fault Vibration Datasets. - Dan Hudson; Jurgen van den Hoogen; Martin Atzmueller (CoRR, 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., 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., 2024)