Zobrazeno 1 - 10
of 14 934
pro vyhledávání: '"Sandra, C."'
This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatbot powered by GPT-4 can infer personality with moderate accuracy, outp
Externí odkaz:
http://arxiv.org/abs/2405.13052
Autor:
Peters, Heinrich, Bayer, Joseph B., Matz, Sandra C., Chi, Yikun, Vaid, Sumer S., Harari, Gabriella M.
The present paper introduces a novel approach to studying social media habits through predictive modeling of sequential smartphone user behaviors. While much of the literature on media and technology habits has relied on self-report questionnaires an
Externí odkaz:
http://arxiv.org/abs/2404.16066
The Solar Orbiter (SO) mission provides the opportunity to study the evolution of solar wind turbulence. We use SO observations of nine extended intervals of homogeneous turbulence to determine when turbulent magnetic field fluctuations may be charac
Externí odkaz:
http://arxiv.org/abs/2403.18792
Autor:
Peters, Heinrich, Liu, Yozen, Barbieri, Francesco, Baten, Raiyan Abdul, Matz, Sandra C., Bos, Maarten W.
The success of online social platforms hinges on their ability to predict and understand user behavior at scale. Here, we present data suggesting that context-aware modeling approaches may offer a holistic yet lightweight and potentially privacy-pres
Externí odkaz:
http://arxiv.org/abs/2310.14533
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract One of the less recognized effects of anxiety lies in perception alterations caused by how one weighs both sensory evidence and contextual cues. Here, we investigated how anxiety affects our ability to use social cues to anticipate the other
Externí odkaz:
https://doaj.org/article/5eb3b166344a41988a3a395b363da6c4
Autor:
Rani H. Singh, Marie-Hélène Bourdages, Angela Kurtz, Erin MacLoed, Chelsea Norman, Suzanne Ratko, Sandra C. van Calcar, Aileen Kenneson
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Background The autosomal recessive disorder N-acetylglutamate synthase (NAGS) deficiency is the rarest defect of the urea cycle, with an incidence of less than one in 2,000,000 live births. Hyperammonemic crises can be avoided in individuals
Externí odkaz:
https://doaj.org/article/08bfb47202c14e21909182c3188a7416