| Erscheinungsdatum | Titel | Autor(en) |
| 2021 | A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring. | Bloemheuvel, Stefan; van den Hoogen, Jurgen; Atzmueller, Martin |
| 2020 | A Conceptual View on the Design and Properties of Explainable AI Systems for Legal Settings | van Otterlo, Martijn; Atzmueller, Martin |
| 2023 | A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain | Bohne, Tim; Windler, Anne-Kathrin Patricia; Atzmueller, Martin |
| 2023 | Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data | Sikouonmeu, Freddy; Atzmueller, Martin |
| 2023 | Advanced Analytics on Complex Industrial Data | van den Hoogen, Jurgen; Bloemheuvel, Stefan; Atzmueller, Martin |
| 2022 | Assessing the Influence of Time on Features for the Prediction of User Dropout | Shayan, Parisa; Atzmueller, Martin ; Van Zaanen, Menno |
| 2021 | Classifying Multivariate Signals in Rolling Bearing Fault Detection Using Adaptive Wide-Kernel CNNs | van den Hoogen, Jurgen; Bloemheuvel, Stefan; Atzmueller, Martin |
| 2022 | Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task | Markert, Timo; Matich, Sebastian; Hoerner, Elias; Pfannes, Jonas; Theissler, Andreas; Atzmueller, Martin |
| 2021 | Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data | Schwenke, Leonid; Atzmueller, Martin |
| 2023 | Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data | Gerschner, Felix; Paul, Jonas; Schmid, Lukas; Barthel, Nico; Gouromichos, Victor; Schmid, Florian; Atzmueller, Martin ; Theissler, Andreas |
| 2023 | Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis | Atzmueller, Martin ; Sylvester, Sophia; Kanawati, Rushed |
| 2023 | Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches | Bloemheuvel, Stefan; van den Hoogen, Jurgen; Atzmueller, Martin |
| 2023 | Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries | Ahmed, Martin Ben; Wilming, Niklas ; 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 |
| 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 |
| 2023 | Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets | Lanfer, Eric; Sylvester, Sophia; Aschenbruck, Nils; Atzmueller, Martin |
| 2023 | Making Time Series Embeddings More Interpretable in Deep Learning: Extracting Higher-Level Features via Symbolic Approximation Representations | Schwenke, Leonid; Atzmueller, Martin |
| 2021 | Many-Objective Optimization for Anomaly Detection on Multi-Layer Complex Interaction Networks | Maulana, Asep; Atzmueller, Martin |
| 2021 | Mining communities and their descriptions on attributed graphs: a survey | Atzmueller, Martin ; Guennemann, Stephan; Zimmermann, Albrecht |
HOCHSCHULBIBLIOGRAPHIE