Showing results 6 to 21 of 21
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| Issue Date | Title | Author(s) |
| 2021 | Examining Team Interaction using Dynamic Complexity and Network Visualizations | Wiltshire, T.J.; Hudson, D.; Belitsky, M.; Lijdsman, P.; Wever, S.; Atzmueller, M. |
| 2022 | Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview | Atzmueller, M.; Kanawati, R. |
| 2021 | Fingertip 6-Axis Force/Torque Sensing for Texture Recognition in Robotic Manipulation | Markert, T.; Matich, S.; Hoerner, E.; Theissler, A.; Atzmueller, M. |
| 2021 | Gaia-AgStream: An Explainable AI Platform for Mining Complex Data Streams in Agriculture | Schoenke, J.; Aschenbruck, N. ; Interdonato, R.; Kanawati, R.; Meisener, A.-C.; Thierart, F.; Vial, G.; Atzmueller, M. |
| 2021 | Graph Signal Processing on Complex Networks for Structural Health Monitoring | Bloemheuvel, S.; van den Hoogen, J.; Atzmueller, M. |
| 2021 | Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information | Doan, N.; Hudson, D.; Wiltshire, T.J.; Lijdsman, P.; Wever, S.; Atzmueller, M. |
| 2021 | Interpretable Machine Learning: A brief survey from the predictive maintenance perspective | Vollert, S.; Atzmueller, M.; Theissler, A. |
| 2021 | Knowledge-Augmented Induction of Complex Networks on Supply–Demand–Material Data | Hudson, D.; Schwenke, L.; Bloemheuvel, S.; Chowdhury, A.G.; Schut, N.; Atzmueller, M. |
| 2021 | Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data | Hudson, D.; Wiltshire, T.J.; Atzmueller, M. |
| 2022 | Methods for explaining Top-N recommendations through subgroup discovery | Iferroudjene, M.; Lonjarret, C.; Robardet, C.; Plantevit, M.; Atzmueller, M. |
| 2022 | Predicting User Dropout fromTheir Online Learning Behavior | Shayan, P.; van Zaanen, M.; Atzmueller, M. |
| 2020 | Proceedings of the 1st international workshop on explainable and interpretable machine learning (XI-ML) | Atzmueller, M.; Kliegr, T.; Schmid, U. |
| 2021 | Semantic Data Mining: A Brief Outline | Atzmueller, M.; Nalepa, G.J.; Bobek, S.; Lavrac, N. |
| 2022 | Towards Tabular Data Extraction From Richly-Structured Documents Using Supervised and Weakly-Supervised Learning | Ghosh Chowdhury, A.; Ben Ahmed, M.; Atzmueller, M. |
| 2022 | Visual Detection of Tiny and Transparent Objects for Autonomous Robotic Pick-and-Place Operations | Markert, T.; Matich, S.; Neykov, D.; Muenig, M.; Theissler, A.; Atzmueller, M. |
| 2022 | Visualization Methods forExploratory Subgroup Discovery onTime Series Data | Hudson, D.; Wiltshire, T.J.; Atzmueller, M. |
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