Browsing by Author van den Hoogen, Jurgen


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Showing results 3 to 11 of 11 < previous 
Issue DateTitleAuthor(s)
2021Classifying Multivariate Signals in Rolling Bearing Fault Detection Using Adaptive Wide-Kernel CNNsvan den Hoogen, Jurgen; Bloemheuvel, Stefan; Atzmueller, Martin 
2020Complex Network Modeling of Supply and Demand Data: An Application Case in the Plastics Recycling Industry (Abstract)Bloemheuvel, Stefan; van den Hoogen, Jurgen; Atzmueller, Martin 
2019Enhancing Sequential Pattern Mining Explainability with Markov Chain Probabilities
2023Graph construction on complex spatiotemporal data for enhancing graph neural network-based approachesBloemheuvel, Stefan; van den Hoogen, Jurgen; Atzmueller, Martin 
2022Graph neural networks for multivariate time series regression with application to seismic dataBloemheuvel, Stefan; van den Hoogen, Jurgen; Jozinovic, Dario; Michelini, Alberto; Atzmueller, Martin 
2023Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory studyvan den Hoogen, Jurgen; Hudson, Dan; Bloemheuvel, Stefan; Atzmueller, Martin 
2022Multivariate Time Series Regression with Graph Neural NetworksBloemheuvel, Stefan; van den Hoogen, Jurgen; Jozinovic, Dario; Michelini, Alberto; Atzmueller, Martin 
2022Rapid prediction of ground shaking intensity with Graph Neural Networks
2019The Di-Plast Data Science Toolkit – Enabling a Smart Data-Driven Digital Circular Economy for the Plastics Industry