Zobrazeno 1 - 10
of 129 380
pro vyhledávání: '"VOGT, A."'
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
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
Concept-based machine learning methods have increasingly gained importance due to the growing interest in making neural networks interpretable. However, concept annotations are generally challenging to obtain, making it crucial to leverage all their
Externí odkaz:
http://arxiv.org/abs/2410.18705
Finding clusters of data points with similar characteristics and generating new cluster-specific samples can significantly enhance our understanding of complex data distributions. While clustering has been widely explored using Variational Autoencode
Externí odkaz:
http://arxiv.org/abs/2410.16910