Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Marcel Salathe"'
Autor:
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Andrzej Pyskir, Piotr Tarasiewicz, Saket Kunwar, Janick Rohrbach, Dave Luo, Manjunath Prasad, Sascha Fleer, Jan Philip Göpfert, Akshat Tandon, Guillaume Mollard, Nikhil Rayaprolu, Marcel Salathe, Malte Schilling
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2020)
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in computer vision
Externí odkaz:
https://doaj.org/article/016d13d84a664252a1a50c8c84575001
Publikováno v:
IEEE Access, Vol 4, Pp 1558-1569 (2016)
Infectious diseases pose a serious threat to public health due to its high infectivity and potentially high mortality. One of the most effective ways to protect people from being infected by these diseases is through vaccination. However, due to vari
Externí odkaz:
https://doaj.org/article/cccd76a3155547e48d8396bcf3781c6b
Akademický článek
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Autor:
Harris Héritier, Chloé Allémann, Oleksandr Balakiriev, Victor Boulanger, Sean F. Carroll, Noé Froidevaux, Germain Hugon, Yannis Jaquet, Djilani Kebaili, Sandra Riccardi, Geneviève Rousseau-Leupin, Rahel M. Salathé, Talia Salzmann, Rohan Singh, Laura Symul, Elif Ugurlu-Baud, Peter de Verteuil, Marcel Salathé
Publikováno v:
PLOS Digital Health, Vol 2, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/6cb8e08c11ba4e7a89c1c02890a6a746
Akademický článek
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Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
IntroductionThis study presents COVID-Twitter-BERT (CT-BERT), a transformer-based model that is pre-trained on a large corpus of COVID-19 related Twitter messages. CT-BERT is specifically designed to be used on COVID-19 content, particularly from soc
Externí odkaz:
https://doaj.org/article/9fb88501e71f416ea35c832bc4b3b9c4
Publikováno v:
Frontiers in Public Health, Vol 10 (2023)
IntroductionOnline social media have been both a field of research and a source of data for research since the beginning of the COVID-19 pandemic. In this study, we aimed to determine how and whether the content of tweets by Twitter users reporting S
Externí odkaz:
https://doaj.org/article/2e3bd81fa3e14d288ab6f09239cced4a
Publikováno v:
Frontiers in Public Health, Vol 10 (2023)
IntroductionMaking epidemiological indicators for COVID-19 publicly available through websites and social media can support public health experts in the near-real-time monitoring of the situation worldwide, and in the establishment of rapid response
Externí odkaz:
https://doaj.org/article/78a2a8c673b24aaa95c5a4404e0b2ddd
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users fro
Externí odkaz:
https://doaj.org/article/1889b42940354904bfa623015d6bcabe
Autor:
Sharada Prasanna Mohanty, Gaurav Singhal, Eric Antoine Scuccimarra, Djilani Kebaili, Harris Héritier, Victor Boulanger, Marcel Salathé
Publikováno v:
Frontiers in Nutrition, Vol 9 (2022)
The automatic recognition of food on images has numerous interesting applications, including nutritional tracking in medical cohorts. The problem has received significant research attention, but an ongoing public benchmark on non-biased (i.e., not sc
Externí odkaz:
https://doaj.org/article/c3edb5dd906c4b4395606fe8a007fb53