| 2026 | HCI | Explainable CNN-Based Sorting of LFP Shredded Material for Direct Recycling. | Domenic Frhlich, Meinhard Kuntz, Nicolaj C. Stache |
| 2026 | HCI | Iterative Integrated Gradients: Improving Comprehensibility of Deep Neural Networks. | Jannis L. Heising, Carsten Lanquillon, Carsten Wittenberg, Nicolaj C. Stache |
| 2026 | HCI | Evaluating Usability and User Trust in Large Vision-Language Models for Robotic Sorting Tasks with Visual Instructions. | Nico Hessenthaler, Nicolaj C. Stache |
| 2026 | HCI | On Temporal Consistency in Video Anonymization. | Adam T. Mller, Nico Richter, David T. Hgele, Nicolaj C. Stache |
| 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 | AI-Supported Root Cause Analysis in Automotive Quality Problem Solving: A Cross Domain Literature Review. | Patrick Kaftan, Carsten Lanquillon, Nicolaj C. Stache |
| 2025 | HCI | Visual Instruction as an Intuitive Interface for Robotic Sorting. | Adam T. Mller, 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 | Semi-supervised Sorting via Deep Feature Extraction and Density Based Clustering with User Feedback. | Pascal Graf, Morris Ohrnberger, Dominic Dtterer, Nicolaj C. Stache |
| 2024 | HCI | Knowledge Transfer Reinvented: A Comprehensive Exploration of Heilbronn University's Virtual AI Laboratory and Its Impact on Interdisciplinary Collaboration. | Valeria Kinitzki, Ana Ramos Wittek, Nicolaj C. Stache |
| 2024 | HCI | Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection. | Nicholas Schloer, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Fabian Schoch, Nicolaj C. Stache, Carsten Wittenberg |
| 2024 | HCI | Unlocking Operational Clarity: The Integration of Artificial Intelligence, Digital Twins, and Mixed Reality in Production for Enhanced User Transparency. | Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache |
| 2023 | HCI | User Transparency of Artificial Intelligence and Digital Twins in Production - Research on Lead Applications and the Transfer to Industry. | Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache |
| 2023 | INDIN | Integration of Reinforcement Learning into Fluid Control Systems. | Moritz Allmendinger, Nicolaj C. Stache, Frank Trnkle |
| 2023 | INDIN | AI-based Cavitation Detection in Process Valves. | Marisa Ehemann, Frank Trnkle, Nicolaj C. Stache |
| 2023 | VTC | MsSDEdit: Deep Learning Image Enhancement for Automated Bounding Box Annotations in Automotive Monocular Camera Applications. | Nico Hessenthaler, Andreas F. Schneider, Nicolaj C. Stache |
| 2021 | CVPR | Sign Segmentation With Changepoint-Modulated Pseudo-Labelling. | Katrin Renz, Nicolaj C. Stache, Neil Fox, Gl Varol, Samuel Albanie |
| 2021 | ICASSP | Sign Language Segmentation with Temporal Convolutional Networks. | Katrin Renz, Nicolaj C. Stache, Samuel Albanie, Gl Varol |