| The Self-Perception and Political Biases of ChatGPT J Rutinowski, S Franke, J Endendyk, I Dormuth, M Roidl, M Pauly Human Behavior and Emerging Technologies 2024, 2023 | 50 | 2023 |
| Towards Re-Identification for Warehousing Entities – A Work-in-Progress Study J Rutinowski, C Pionzewski, T Chilla, C Reining, M Ten Hompel 2021 26th IEEE International Conference on Emerging Technologies and Factory …, 2021 | 13 | 2021 |
| The Self-Perception and Political Biases of ChatGPT - arXiv J Rutinowski, S Franke, J Endendyk, I Dormuth, M Pauly arXiv preprint arXiv:2304.07333, 2023 | 6 | 2023 |
| Deep learning based re-identification of wooden euro-pallets J Rutinowski, C Pionzewski, T Chilla, C Reining, M Ten Hompel 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 6 | 2022 |
| pallet-block-502 – A chipwood re-identification dataset J Rutinowski, T Chilla, C Pionzewski, C Reining, M ten Hompel Zenodo, 2021 | 5 | 2021 |
| Towards graph representation based re-identification of chipwood pallet blocks S Klüttermann, J Rutinowski, C Reining, M Roidl, E Müller 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 4 | 2022 |
| The potential of deep learning based computer vision in warehousing logistics J Rutinowski, H Youssef, A Gouda, C Reining, M Roidl Logistics Journal: Proceedings 2022 (18), 2022 | 4 | 2022 |
| Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach J Rutinowski, H Youssef, S Franke, IF Priyanta, F Polachowski, M Roidl, ... EURASIP Journal on Image and Video Processing, 2024, 2024 | 3 | 2024 |
| On the Applicability of Synthetic Data for Re-Identification J Rutinowski, B Vankayalapati, N Schwenzfeier, M Acosta, C Reining AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), 2022 | 3 | 2022 |
| Generating embedding spaces for re-identifying pallets from their chipwood patterns N Schwenzfeier, J Rutinowski, M Hesenius, C Reining, M Acosta Engineering Applications of Artificial Intelligence 126, 106905, 2023 | 2 | 2023 |
| On Blockchain-based Token Usage in Cyber-Physical Production Systems L Krämer, J Rutinowski, J Endendyk, R Vaut, M Roidl Logistics Journal: Proceedings 2022 (18), 2022 | 1 | 2022 |
| On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification S Klüttermann, J Rutinowski, A Nguyen, B Grimme, M Roidl, E Müller arXiv preprint arXiv:2403.12606, 2024 | | 2024 |
| Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs E Weber, J Rutinowski, M Pauly arXiv preprint arXiv:2402.04110, 2024 | | 2024 |
| Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings J Rutinowski, H Youssef, F Polachowski, M Roidl, C Reining Logistics Journal 2024, 2024 | | 2024 |
| Re-Identification Robustness Over Time – The Case for Synthetic Training Data S Matzke, C Pionzewski, J Rutinowski, F Celik, M Konig 2023 22nd IEEE International Conference on Machine Learning and Applications …, 2023 | | 2023 |
| On Graph Representation based Re-Identification – A Proof of Concept S Klüttermann, J Rutinowski, A Nguyen, C Reining, M Roidl, E Müller 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1097-1104, 2023 | | 2023 |
| Exploring the Re-identification of Industrial Entities on Autonomous Guided Vehicles J Rutinowski, D Schuster, S Kauffmann, P Arias-Pérez, F Polachowski, ... Logistics Journal: Proceedings 2023 (1), 2023 | | 2023 |
| Logistische Plattformökonomie und Silicon Economy J Rutinowski, L Krämer IT und autonome Systeme in der Logistik, 65-74, 2023 | | 2023 |
| Investigation of Deep Learning Datasets for Intralogistics DM Holm, P Junge, J Rutinowski, J Fottner Proceedings of the Conference on Production Systems and Logistics: CPSL 2023-2, 2023 | | 2023 |
| Benchmarking Trust: A Metric for Trustworthy Machine Learning J Rutinowski, S Klüttermann, J Endendyk, C Reining, E Müller | | |
Moritz RoidlTU Dortmund UniversityVerified email at tu-dortmund.de
