Florian Leiser

According to our database, Florian Leiser authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Informed Machine Learning for Cardiomegaly Detection in Chest X-Rays: A Comparative Study.

Felix Hasse, Florian Leiser, Ali Sunyaev

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Inter-Organizational Collaboration for Machine Learning: Motivating and Discouraging Factors in the Automotive Industry.

Sascha Rank, Florian Leiser, Scott Thiebes, Ali Sunyaev

Proceedings of the 32nd European Conference on Information Systems, 2024

HILL: A Hallucination Identifier for Large Language Models.

Florian Leiser, Sven Eckhardt, Valentin Leuthe, Merlin Knaeble, Alexander Mädche, Gerhard Schwabe, Ali Sunyaev

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Medical informed machine learning: A scoping review and future research directions.

Florian Leiser, Sascha Rank, Manuel Schmidt-Kraepelin, Scott Thiebes, Ali Sunyaev

Artif. Intell. Medicine, November, 2023

Applying Random Forests in Federated Learning: A Synthesis of Aggregation Techniques.

Mattis Bodynek, Florian Leiser, Scott Thiebes, Ali Sunyaev

Proceedings of the Digital Responsibility: Social, 2023

From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users.

Florian Leiser, Sven Eckhardt, Merlin Knaeble, Alexander Maedche, Gerhard Schwabe, Ali Sunyaev

Proceedings of the Mensch und Computer 2023, 2023

Understanding the Role of Expert Intuition in Medical Image Annotation: A Cognitive Task Analysis Approach.

Florian Leiser, Simon Warsinsky, Marie Daum, Manuel Schmidt-Kraepelin, Scott Thiebes, Martin Wagner, Ali Sunyaev

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Reward Systems for Trustworthy Medical Federated Learning.

Konstantin D. Pandl, Florian Leiser, Scott Thiebes, Ali Sunyaev

CoRR, 2022

2021

What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images.

Tim Rädsch, Sven Eckhardt, Florian Leiser, Konstantin D. Pandl, Scott Thiebes, Ali Sunyaev

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021