| Inspect, understand, overcome: A survey of practical methods for ai safety S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ... Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022 | 73 | 2022 |
| The BRSU Race Academy: A tutored peer-teaching learning approach D Reith, T Haedecke, E Schulz, L Langel, L Gemein, I Groß Interactive Collaborative Learning: Proceedings of the 19th ICL Conference …, 2017 | 12 | 2017 |
| ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions. E Haedecke, M Mock, M Akila EuroVA@ EuroVis, 1-5, 2022 | 9 | 2022 |
| Practical undergraduate projects within the BRSU race academy: An example for conducting a new tutored peer-teaching learning approach D Reith, T Haedecke, E Schulz, L Langel, L Gemein, I Groß 2017 IEEE Global Engineering Education Conference (EDUCON), 146-151, 2017 | 9 | 2017 |
| ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models E Haedecke, M Mock, M Akila Computers & Graphics 114, 265-275, 2023 | 6 | 2023 |
| Transparency and reliability assurance methods for safeguarding deep neural networks-a survey E Haedecke, MA Pintz Workshop on Trustworthy Artificial Intelligence as a part of the ECML/PKDD …, 2022 | 2 | 2022 |
| Using ScrutinAI for visual inspection of DNN performance in a medical use case R Görge, E Haedecke, M Mock AI and Ethics 4 (1), 151-156, 2024 | 1 | 2024 |
| Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation L Adilova, E Schulz, M Akila, S Houben, JD Schneider, F Huger, T Wirtz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 1 | 2021 |
| OASIcs, Volume 126, SAIA 2024, Complete Volume R Görge, E Haedecke, M Poretschkin, A Schmitz Symposium on Scaling AI Assessments (SAIA 2024), 1-174, 2025 | | 2025 |
| Towards Formalising AI Readiness of Standards A Schmitz, R Görge, E Haedecke, M Borowski, A Seeliger, M Poretschkin Digital Governance: Confronting the Challenges Posed by Artificial …, 2024 | | 2024 |
| Towards Linking Local and Global Explanations for AI Assessments with Concept Explanation Clusters E Haedecke, M Akila, L von Rueden Proceedings of the AAAI Symposium Series 4 (1), 106-109, 2024 | | 2024 |
| Developing trustworthy AI applications with foundation models M Mock, S Schmidt, F Müller, R Görge, A Schmitz, E Haedecke, A Voss, ... arXiv preprint arXiv:2405.04937, 2024 | | 2024 |
| Vertrauenswürdige KI-Anwendungen mit Foundation-Modellen entwickeln M Mock, S Schmidt, FB Müller, R Görge, A Schmitz, EG Haedecke, A Voß, ... | | 2024 |
| KI-Anwendungen systematisch prüfen und absichern EG Haedecke, M Mock, MA Pintz, M Poretschkin | | 2023 |
Dirk ReithProfessor, Bonn-Rhein-Sieg University of Applied Sciences, Computational Science and EngineeringVerified email at h-brs.de