In the applications of machine learning, it is difficult to ensure the quality of training data due to the various sources of training data and the inexperience of some annotators. By tightly …
HX Li, S Jorgensen, J Holodnak… - … IEEE Visualization and …, 2023 - ieeexplore.ieee.org
Recently, uncertainty-aware deep learning methods for multiclass labeling problems have been developed that provide calibrated class prediction probabilities and out-of-distribution …
B Severin, O Werger, M Hesenius - … Computer Systems. EICS …, 2024 - books.google.com
Recent advances in AI demonstrate its capacities to not only automate more and more everyday tasks, but also make direct Human-AI-Interaction possible. When using AI models …
B Severin, O Werger, M Hesenius - International Symposium on …, 2023 - Springer
Recent advances in AI demonstrate its capacities to not only automate more and more everyday tasks, but also make direct Human-AI-Interaction possible. When using AI models …