Rigor in Applied Data Science Research Based on DSR: A Literature Review. - Daniel Szafarski; Tobias Schmieg; Laslo Welz; Thomas Schäffer (DATA, 2023)

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 (CSIT, 2024)

Time Series Representation Learning: A Survey on Deep Learning Techniques for Time Series Forecasting. - Tobias Schmieg; Carsten Lanquillon (HCI (51), 2024)

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 (HCI (66), 2025)

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 (HCI (57), 2025)