Zobrazeno 1 - 10
of 34 038
pro vyhledávání: '"Vogt P."'
Autor:
Schowalter Marco, Raghuvansy S., Karg A., Vogt P., Schlom D., Jena D., Eickhoff M., Rosenauer A.
Publikováno v:
BIO Web of Conferences, Vol 129, p 24042 (2024)
Externí odkaz:
https://doaj.org/article/aa4f7526c1ac47c291d6e6da7c0c0cd3
The increasing demand for multilingual capabilities in healthcare underscores the need for AI models adept at processing diverse languages, particularly in clinical documentation and decision-making. Arabic, with its complex morphology, syntax, and d
Externí odkaz:
http://arxiv.org/abs/2411.13518
Autor:
Cortesi, Silvano, Crabolu, Michele, Mekikis, Prodromos-Vasileios, Bellusci, Giovanni, Vogt, Christian, Magno, Michele
Asset tracking solutions have proven their significance in industrial contexts, as evidenced by their successful commercialization (e.g., Hilti On!Track). However, a seamless solution for matching assets with their users, such as operators of constru
Externí odkaz:
http://arxiv.org/abs/2412.13600
Convection in planets and stars is predicted to occur in the "ultimate regime'' of diffusivity-free, rapidly rotating turbulence, in which flows are characteristically unaffected by viscous and thermal diffusion. Boundary layer diffusion, however, ha
Externí odkaz:
http://arxiv.org/abs/2411.11226
Autor:
Agostini, Andrea, Chopard, Daphné, Meng, Yang, Fortin, Norbert, Shahbaba, Babak, Mandt, Stephan, Sutter, Thomas M., Vogt, Julia E.
Multimodal data integration and label scarcity pose significant challenges for machine learning in medical settings. To address these issues, we conduct an in-depth evaluation of the newly proposed Multimodal Variational Mixture-of-Experts (MMVM) VAE
Externí odkaz:
http://arxiv.org/abs/2411.10356
Autor:
Chopard, Daphné, Laguna, Sonia, Chin-Cheong, Kieran, Dietz, Annika, Badura, Anna, Wellmann, Sven, Vogt, Julia E.
General movements (GMs) are spontaneous, coordinated body movements in infants that offer valuable insights into the developing nervous system. Assessed through the Prechtl GM Assessment (GMA), GMs are reliable predictors for neurodevelopmental disor
Externí odkaz:
http://arxiv.org/abs/2411.09821
Autor:
Sáez-Carvajal, Catalina, Vogt, Nikolaus, Zorotovic, Mónica, García-Veas, Javiera, Aravena-Rojas, Gonzalo, Dumond, Lukas, Figueroa-Tapia, Felipe, López-Bonilla, Yanina, Rodriguez-Jimenez, Abigali, Vega-Manubens, Ignacio, Grawe, Benjamín
The orbital period of a cataclysmic variable stands as a crucial parameter for investigating the structure and physics of these binary systems, as well as understanding their evolution. We use photometric Gaia data for dwarf novae (DNe) in the quiesc
Externí odkaz:
http://arxiv.org/abs/2411.09566
Autor:
Korten, Till, Rybnikov, Vladimir, Vogt, Mathias, Roensch-Schulenburg, Juliane, Steinbach, Peter, Mirian, Najmeh
Electron beam accelerators are essential in many scientific and technological fields. Their operation relies heavily on the stability and precision of the electron beam. Traditional diagnostic techniques encounter difficulties in addressing the compl
Externí odkaz:
http://arxiv.org/abs/2411.09468
This study compares Sporo Health's AI Scribe, a proprietary model fine-tuned for medical scribing, with various LLMs (GPT-4o, GPT-3.5, Gemma-9B, and Llama-3.2-3B) in clinical documentation. We analyzed de-identified patient transcripts from partner c
Externí odkaz:
http://arxiv.org/abs/2411.06713
Autor:
Reizinger, Patrik, Bizeul, Alice, Juhos, Attila, Vogt, Julia E., Balestriero, Randall, Brendel, Wieland, Klindt, David
Supervised learning has become a cornerstone of modern machine learning, yet a comprehensive theory explaining its effectiveness remains elusive. Empirical phenomena, such as neural analogy-making and the linear representation hypothesis, suggest tha
Externí odkaz:
http://arxiv.org/abs/2410.21869