| 2026 | HCI | Process for Generating Labeled Datasets in Pick-and-Place Use Cases. | Tobias Schmieg, Manuel Schulz, Carsten Wittenberg, Carsten Lanquillon, Nicolaj C. Stache |
| 2025 | HCI | Enhancing Knowledge Preservation in Machine Learning Research: Jupyter Notebooks as an Interactive Documentation Tool. | Tobias Schmieg, Fabian Schoch, Nicholas Schloer, Carsten Lanquillon, Carsten Wittenberg, Nicolaj C. Stache |
| 2025 | HCI | Anomaly Detection on Real-World Industrial Manufacturing Applications with Additional Anomaly Type Clustering. | Fabian Schoch, Pascal Graf, Tobias Schmieg, Nicholas Schloer, Carsten Wittenberg, Carsten Lanquillon, Nicolaj C. Stache |
| 2024 | CSIT | Deep Anomaly Detection with Extended Transformer-Based Model on Tennessee Eastman Process Dataset. | Fabian Schoch, Pascal Graf, Tobias Schmieg, Carsten Wittenberg, Carsten Lanquillon, Nicolaj C. Stache |
| 2024 | HCI | Time Series Representation Learning: A Survey on Deep Learning Techniques for Time Series Forecasting. | Tobias Schmieg, Carsten Lanquillon |
| 2023 | DATA | Rigor in Applied Data Science Research Based on DSR: A Literature Review. | Daniel Szafarski, Tobias Schmieg, Laslo Welz, Thomas Schffer |