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Florian Leiser
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From ChatGPT to FactGPT: A participatory design study to mitigate the effects of large language model hallucinations on users
F Leiser, S Eckhardt, M Knaeble, A Maedche, G Schwabe, A Sunyaev
Proceedings of Mensch und Computer 2023, 81-90, 2023
362023
Hill: A hallucination identifier for large language models
F Leiser, S Eckhardt, V Leuthe, M Knaeble, A Maedche, G Schwabe, ...
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-13, 2024
232024
Explainable artificial intelligence for omics data: a systematic mapping study
PA Toussaint, F Leiser, S Thiebes, M Schlesner, B Brors, A Sunyaev
Briefings in Bioinformatics 25 (1), bbad453, 2024
162024
Medical informed machine learning: A scoping review and future research directions
F Leiser, S Rank, M Schmidt-Kraepelin, S Thiebes, A Sunyaev
Artificial Intelligence in Medicine 145, 102676, 2023
162023
What your radiologist might be missing: using machine learning to identify mislabeled instances of X-ray images
T Rädsch, S Eckhardt, F Leiser, KD Pandl, S Thiebes, A Sunyaev
132021
Reward systems for trustworthy medical federated learning
KD Pandl, F Leiser, S Thiebes, A Sunyaev
arXiv preprint arXiv:2205.00470, 2022
102022
Understanding the Role of Expert Intuition in Medical Image Annotation: A Cognitive Task Analysis Approach
F Leiser, S Warsinsky, M Daum, M Schmidt-Kraepelin, S Thiebes, ...
32023
NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study
MP Schapranow, M Bayat, A Rasheed, M Naik, V Graf, D Schmidt, ...
JMIR Research Protocols 12 (1), e48892, 2023
22023
Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines
P Bielski, A Eismont, J Bach, F Leiser, D Kottonau, K Böhm
Proceedings of the 15th ACM International Conference on Future and …, 2024
12024
Inter-Organizational Collaboration for Machine Learning: Motivating and Discouraging Factors in the Automotive Industry
S Rank, F Leiser, S Thiebes, A Sunyaev
12024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
LM Lopez-Ramos, F Leiser, A Rastogi, S Hicks, I Strümke, VI Madai, ...
arXiv preprint arXiv:2411.05874, 2024
2024
Informed Machine Learning for Cardiomegaly Detection in Chest X-Rays: A Comparative Study
F Hasse, F Leiser, A Sunyaev
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
2024
How Experts Rely on Intuition in Medical Image Annotation—A Study Proposal
F Leiser, S Warsinsky, M Schmidt-Kraepelin, S Thiebes, A Sunyaev
NeuroIS Retreat, 253-261, 2023
2023
Applying Random Forests in Federated Learning: A Synthesis of Aggregation Techniques
M Bodynek, F Leiser, S Thiebes, A Sunyaev
2023
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