Stratification-Oriented Analysis of Community Structure in Networks of Face-to-Face Proximity. - Stefan Bloemheuvel; Martin Atzmueller; Marie Postma (MSM@WWW,MUSE@PKDD/ECML, 2016)

Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs. - Stefan Bloemheuvel; Benjamin Klöpper; Martin Atzmüller (Business Process Management Workshops, 2019)

A Framework for Human-Centered Exploration of Complex Event Log Graphs. - Martin Atzmueller; Stefan Bloemheuvel; Benjamin Klöpper (DS, 2019)

Graph Signal Processing on Complex Networks for Structural Health Monitoring. - Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller (COMPLEX NETWORKS (1), 2020)

An Improved Wide-Kernel CNN for Classifying Multivariate Signals in Fault Diagnosis. - Jurgen O. D. van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller (ICDM (Workshops), 2020)

A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring. - Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller (Appl. Netw. Sci., 2021)

Multivariate Time Series Regression on Seismic Data Using Adaptive Residual CNNs. - Jurgen O. D. van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller (LWDA, 2022)

Multivariate Time Series Regression with Graph Neural Networks. - Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller (CoRR, 2022)

Identifying Informative Nodes in Attributed Spatial Sensor Networks Using Attention for Symbolic Abstraction in a GNN-based Modeling Approach. - Leonid Schwenke; Stefan Bloemheuvel; Martin Atzmueller (FLAIRS, 2023)

Graph neural networks for multivariate time series regression with application to seismic data. - Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller (Int. J. Data Sci. Anal., 2023)

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches. - Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller (Int. J. Data Sci. Anal., 2024)

Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study. - Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller (Int. J. Data Sci. Anal., 2024)