| 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 | 11 | 2020 |
| 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 | 8 | 2021 |
| Multivariate time series regression with graph neural networks S Bloemheuvel, J Hoogen, D Jozinović, A Michelini, M Atzmueller arXiv preprint arXiv:2201.00818, 2022 | 7 | 2022 |
| 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 | 5 | 2021 |
| 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 | 5 | 2021 |
| 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 |
| 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, 1-16, 2022 | 4 | 2022 |
| 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 |
| 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 |
| Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs J van den Hoogen, S Bloemheuvel, M Atzmueller LWDA 3341, 79-90, 2023 | | 2023 |
| 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 | | 2022 |
| The Effects of Visual Presentation in Decision Making: Using Eye Movements to Predict Visual Presentation in Economic Decisions JOD van den Hoogen | | |
Martin AtzmuellerProfessor, Computer Science, Osnabrück University & German Research Center for AI (DFKI)Verified email at uni-osnabrueck.de
