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van den Hoogen, Jurgen
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Showing results 5 to 11 of 11
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Issue Date
Title
Author(s)
2019
Enhancing Sequential Pattern Mining Explainability with Markov Chain Probabilities
2023
Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches
Bloemheuvel, Stefan; van den Hoogen, Jurgen; Atzmueller, Martin
2022
Graph neural networks for multivariate time series regression with application to seismic data
Bloemheuvel, Stefan; van den Hoogen, Jurgen; Jozinovic, Dario; Michelini, Alberto; Atzmueller, Martin
2023
Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study
van den Hoogen, Jurgen; Hudson, Dan; Bloemheuvel, Stefan; Atzmueller, Martin
2022
Multivariate Time Series Regression with Graph Neural Networks
Bloemheuvel, Stefan; van den Hoogen, Jurgen; Jozinovic, Dario; Michelini, Alberto; Atzmueller, Martin
2022
Rapid prediction of ground shaking intensity with Graph Neural Networks
2019
The Di-Plast Data Science Toolkit – Enabling a Smart Data-Driven Digital Circular Economy for the Plastics Industry
HOCHSCHULBIBLIOGRAPHIE
HOCHSCHULBIBLIOGRAPHIE