Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Klaß, Andreas"'
The adoption of machine learning (ML) and, more specifically, deep learning (DL) applications into all major areas of our lives is underway. The development of trustworthy AI is especially important in medicine due to the large implications for patie
Externí odkaz:
http://arxiv.org/abs/2402.13635
Autor:
Klaß, Andreas, Lorenz, Sven M., Lauer-Schmaltz, Martin W., Rügamer, David, Bischl, Bernd, Mutschler, Christopher, Ott, Felix
Publikováno v:
2022 IJCAI-ECAI First International Workshop on Spatio-Temporal Reasoning and Learning (STRL)
For many applications, analyzing the uncertainty of a machine learning model is indispensable. While research of uncertainty quantification (UQ) techniques is very advanced for computer vision applications, UQ methods for spatio-temporal data are les
Externí odkaz:
http://arxiv.org/abs/2206.08640
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review.
Autor:
Schwabe D; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany. daniel.schwabe@ptb.de., Becker K; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany., Seyferth M; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany., Klaß A; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany., Schaeffter T; Division Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany.; Department of Medical Engineering, Technical University Berlin, Berlin, Germany.; Einstein Centre for Digital Future, Berlin, Germany.
Publikováno v:
NPJ digital medicine [NPJ Digit Med] 2024 Aug 03; Vol. 7 (1), pp. 203. Date of Electronic Publication: 2024 Aug 03.
