Zobrazeno 1 - 10
of 2 190
pro vyhledávání: '"Jungo, A."'
Wearable devices continuously collect sensor data and use it to infer an individual's behavior, such as sleep, physical activity, and emotions. Despite the significant interest and advancements in this field, modeling multimodal sensor data in real-w
Externí odkaz:
http://arxiv.org/abs/2401.05437
Autor:
Jungo, Michael, Vögtlin, Lars, Fakhari, Atefeh, Wegmann, Nathan, Ingold, Rolf, Fischer, Andreas, Scius-Bertrand, Anna
Publikováno v:
SOICT 2023: The 12th International Symposium on Information and Communication Technology
Handwriting recognition is a key technology for accessing the content of old manuscripts, helping to preserve cultural heritage. Deep learning shows an impressive performance in solving this task. However, to achieve its full potential, it requires a
Externí odkaz:
http://arxiv.org/abs/2312.09037
Publikováno v:
International Journal of Development Issues, 2024, Vol. 23, Issue 3, pp. 361-377.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJDI-09-2023-0233
Generative retrieval (Wang et al., 2022; Tay et al., 2022) is a popular approach for end-to-end document retrieval that directly generates document identifiers given an input query. We introduce summarization-based document IDs, in which each documen
Externí odkaz:
http://arxiv.org/abs/2311.08593
Large language models (LLMs) show remarkable capabilities across a variety of tasks. Despite the models only seeing text in training, several recent studies suggest that LLM representations implicitly capture aspects of the underlying grounded concep
Externí odkaz:
http://arxiv.org/abs/2310.14540
Publikováno v:
International Conference on Document Analysis and Recognition - ICDAR 2023, pp. 98-114. Cham: Springer Nature Switzerland
On-line handwritten character segmentation is often associated with handwriting recognition and even though recognition models include mechanisms to locate relevant positions during the recognition process, it is typically insufficient to produce a p
Externí odkaz:
http://arxiv.org/abs/2309.03072
Autor:
Renata Vidonscky Lüthold, Zsofia Rozsnyai, Kristie Rebecca Weir, Sven Streit, Katharina Tabea Jungo
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Dietary supplements are commonly used by older adults, but their inappropriate use may lead to adverse events. To optimise medication use, general practitioners (GPs) ideally are aware of all substances that patients use, includin
Externí odkaz:
https://doaj.org/article/79d30f9b037b4bf7950f6eb0c5531c81
Autor:
Sophie-Myriam Dridi, Claire Manon Lutz, Frédérick Gaultier, Fadel Bellakhdar, Sébastien Jungo, Anne Laure Ejeil
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-27 (2024)
Abstract Purpose In order to diagnose mucous membrane pemphigoid (MMP) and pemphigus vulgaris (PV) with gingival expression, clinical data must be compared with immunohistochemical data obtained using direct immunofluorescence (DIF). It is therefore
Externí odkaz:
https://doaj.org/article/ba0fae40c1df4dd09a917e0d0c24f7c1
Autor:
Shuhei Yamada, Yoshiaki Takise, Yuri Sekiya, Yuya Masuda, Yoshi Misonoo, Kenta Wakaizumi, Tomohiro Suhara, Hiroshi Morisaki, Jungo Kato, Takashige Yamada
Publikováno v:
JA Clinical Reports, Vol 10, Iss 1, Pp 1-6 (2024)
Abstract Background There is no consensus regarding the choice of anesthetic method for patients with pulmonary hypertension (PH). We report two cases in which neuraxial anesthesia was safely performed without general anesthesia during open abdominal
Externí odkaz:
https://doaj.org/article/e01eaf9500054a99a76b86979f27f445
Autor:
Nay, John J., Karamardian, David, Lawsky, Sarah B., Tao, Wenting, Bhat, Meghana, Jain, Raghav, Lee, Aaron Travis, Choi, Jonathan H., Kasai, Jungo
Better understanding of Large Language Models' (LLMs) legal analysis abilities can contribute to improving the efficiency of legal services, governing artificial intelligence, and leveraging LLMs to identify inconsistencies in law. This paper explore
Externí odkaz:
http://arxiv.org/abs/2306.07075