| Graph neural networks for multivariate time series regression with application to seismic data S Bloemheuvel, J van den Hoogen, D Jozinović, A Michelini, ... International Journal of Data Science and Analytics 16 (3), 317-332, 2023 | 60* | 2023 |
| A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring S Bloemheuvel, J van den Hoogen, M Atzmueller Applied Network Science 6 (1), 97, 2021 | 22 | 2021 |
| An improved wide-kernel cnn for classifying multivariate signals in fault diagnosis JOD van den Hoogen, SD Bloemheuvel, M Atzmueller 2020 International Conference on Data Mining Workshops (ICDMW), 275-283, 2020 | 17 | 2020 |
| Classifying multivariate signals in rolling bearing fault detection using adaptive wide-kernel cnns J van den Hoogen, S Bloemheuvel, M Atzmueller Applied Sciences 11 (23), 11429, 2021 | 15 | 2021 |
| A framework for human-centered exploration of complex event log graphs M Atzmueller, S Bloemheuvel, B Kloepper Discovery Science: 22nd International Conference, DS 2019, Split, Croatia …, 2019 | 11 | 2019 |
| Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches S Bloemheuvel, J van den Hoogen, M Atzmueller International Journal of Data Science and Analytics 18 (2), 157-174, 2024 | 7 | 2024 |
| Graph signal processing on complex networks for structural health monitoring S Bloemheuvel, J van den Hoogen, M Atzmueller Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth …, 2021 | 7 | 2021 |
| Graph summarization for computational sensemaking on complex industrial event logs S Bloemheuvel, B Kloepper, M Atzmueller Business Process Management Workshops: BPM 2019 International Workshops …, 2019 | 7 | 2019 |
| Hyperparameter analysis of wide-kernel cnn architectures in industrial fault detection: an exploratory study J Van Den Hoogen, D Hudson, S Bloemheuvel, M Atzmueller International Journal of Data Science and Analytics 18 (4), 423-444, 2024 | 6 | 2024 |
| Enhancing sequential pattern mining explainability with markov chain probabilities S Bloemheuvel, B Kloepper, J Van Den Hoogen, M Atzmueller Proc. Dutch-Belgian Database Day. Jheronimus Academy of Data Science, Den …, 2019 | 5 | 2019 |
| Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach L Schwenke, S Bloemheuvel, M Atzmueller The International FLAIRS Conference Proceedings 36, 2023 | 4 | 2023 |
| The Di-Plast Data Science Toolkit–Enabling a Smart Data-Driven Digital Circular Economy for the Plastics Industry J Van Den Hoogen, S Bloemheuvel, M Atzmueller Proceedings of the Dutch-Belgian Database Day. Jheronimus Academy of Data …, 2019 | 3 | 2019 |
| Stay tuned! Analysing hyperparameters of a wide-kernel architecture for industrial faults D Hudson, J Van Den Hoogen, S Bloemheuvel, M Atzmueller 2024 IEEE Conference on Artificial Intelligence (CAI), 1350-1356, 2024 | 2 | 2024 |
| Rapid prediction of ground shaking intensity with graph neural networks S Bloemheuvel, J van den Hoogen, D Jozinović, A Michelini, ... Proceedings of the Third European Conference on Earthquake Engineering and …, 2022 | 2 | 2022 |
| Evolution of contacts and communities in social interaction networks of face-to-face proximity S Bloemheuvel, M Atzmueller, M Postma, M Atzmueller, W Duivesteijn Proceedings of BNAIC. Jheronimus Academy of Data Science, Den Bosch, The …, 2018 | 2 | 2018 |
| Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs JOD van den Hoogen, SD Bloemheuvel, M Atzmueller CEUR Workshop Proceedings, 2022 | 1 | 2022 |
| Advanced Analytics on Complex Industrial Data J van den Hoogen, S Bloemheuvel, M Atzmueller Data Science for Entrepreneurship: Principles and Methods for Data …, 2023 | | 2023 |
| Knowledge-Augmented Induction of Complex Networks on Supply–Demand–Material Data D Hudson, L Schwenke, S Bloemheuvel, AG Chowdhury, N Schut, ... CEUR Workshop Proceedings, 2021 | | 2021 |
| Complex Network Modeling of Supply and Demand Data: An Application Case in the Plastics Recycling Industry S Bloemheuvel, J van den Hoogen, M Atzmueller Presented at the INSNA Sunbelt XL International Social Network Conference, 2020 | | 2020 |
| Check for updates Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face Proximity S Bloemheuvel, M Atzmueller, M Postma Behavioral Analytics in Social and Ubiquitous Environments: 6th …, 2019 | | 2019 |