Zobrazeno 1 - 10
of 25 795
pro vyhledávání: '"Wenderoth"'
Publikováno v:
Allgemeine BäckerZeitung. 8/31/2024, Issue 17, p2-2. 1p.
Integrating AI in healthcare can greatly improve patient care and system efficiency. However, the lack of explainability in AI systems (XAI) hinders their clinical adoption, especially in multimodal settings that use increasingly complex model archit
Externí odkaz:
http://arxiv.org/abs/2412.15828
Autor:
Wenderoth, Laura
This study explores the potential of using training dynamics as an automated alternative to human annotation for evaluating the quality of training data. The framework used is Data Maps, which classifies data points into categories such as easy-to-le
Externí odkaz:
http://arxiv.org/abs/2411.01653
Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks
Autor:
Wenderoth, Laura
This paper investigates the MM dynamics approach proposed by Han et al. (2022) for multi-modal fusion in biomedical classification tasks. The MM dynamics algorithm integrates feature-level and modality-level informativeness to dynamically fuse modali
Externí odkaz:
http://arxiv.org/abs/2411.00725
Autor:
Potok, Weronika, van der Groen, Onno, Sivachelvam, Sahana, Bächinger, Marc, Fröhlich, Flavio, Kish, Laszlo B., Wenderoth, Nicole
Publikováno v:
Journal of Neurophysiology 130, 458-473, 2023
Stochastic Resonance (SR) describes a phenomenon where an additive noise (stochastic carrier-wave) enhances the signal transmission in a nonlinear system. In the nervous system, nonlinear properties are present from the level of single ion channels a
Externí odkaz:
http://arxiv.org/abs/2310.03763
Autor:
Wenderoth, Tatjana1 (AUTHOR) martin.feldotto@vetmed.uni-giessen.de, Feldotto, Martin1 (AUTHOR) jessica.hernandez-2@vetmed.uni-giessen.de, Hernandez, Jessica1 (AUTHOR) julia.schaeffer@vetmed.uni-giessen.de, Schäffer, Julia1 (AUTHOR) stephan.leisengang@vetmed.uni-giessen.de, Leisengang, Stephan1,2,3 (AUTHOR) janne.e.bredehoeft@vetmed.uni-giessen.de, Pflieger, Fabian Johannes1 (AUTHOR), Bredehöft, Janne1 (AUTHOR), Mayer, Konstantin4 (AUTHOR) konstantin.mayer@innere.med.uni-giessen.de, Kang, Jing X.5 (AUTHOR), Bier, Jens6,7 (AUTHOR) jens.bier@innere.med.unigiessen.de, Grimminger, Friedrich6,7 (AUTHOR) friedrich.grimminger@innere.med.uni-giessen.de, Paßlack, Nadine8 (AUTHOR) n.passlack@lmu.de, Rummel, Christoph1,2,3 (AUTHOR) christoph.d.rummel@vetmed.uni-giessen.de
Publikováno v:
International Journal of Molecular Sciences. Sep2024, Vol. 25 Issue 18, p9904. 23p.
Publikováno v:
Bioengineering (Basel). 2023;10(8):895
Is self-supervised deep learning (DL) for medical image analysis already a serious alternative to the de facto standard of end-to-end trained supervised DL? We tackle this question for medical image classification, with a particular focus on one of t
Externí odkaz:
http://arxiv.org/abs/2304.05163
Publikováno v:
Perception. 2014, Vol. 43 Issue 11, p1275-1278. 4p.
A small system in contact with a macroscopic environment usually approaches an asymptotic state, determined only by some macroscopic properties of the environment such as the temperature or the chemical potential. In the long-time limit, the state of
Externí odkaz:
http://arxiv.org/abs/2211.17149