Showing results 8 to 16 of 16
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Issue Date | Title | Author(s) |
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 |
2019 | Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs | |
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 |
2023 | Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach | Schwenke, Leonid; 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 | Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face Proximity | |
2019 | The Di-Plast Data Science Toolkit – Enabling a Smart Data-Driven Digital Circular Economy for the Plastics Industry | |