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of 439
pro vyhledávání: '"Gatica‐Perez, Daniel"'
In the current media landscape, understanding the framing of information is crucial for critical consumption and informed decision making. Framing analysis is a valuable tool for identifying the underlying perspectives used to present information, an
Externí odkaz:
http://arxiv.org/abs/2409.12561
Autor:
Schütz, Narayan, Saner, Hugo, Botros, Angela, Pais, Bruno, Santschi, Valérie, Buluschek, Philipp, Gatica-Perez, Daniel, Urwyler, Prabitha, Müri, René M, Nef, Tobias
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 6, p e24666 (2021)
BackgroundPopulation aging is posing multiple social and economic challenges to society. One such challenge is the social and economic burden related to increased health care expenditure caused by early institutionalizations. The use of modern pervas
Externí odkaz:
https://doaj.org/article/7d9d060bd6df4b72ba553e4434771523
Over the years, multimodal mobile sensing has been used extensively for inferences regarding health and well being, behavior, and context. However, a significant challenge hindering the widespread deployment of such models in real world scenarios is
Externí odkaz:
http://arxiv.org/abs/2404.17391
Autor:
Bangamuarachchi, Wageesha, Chamantha, Anju, Meegahapola, Lakmal, Kim, Haeeun, Ruiz-Correa, Salvador, Perera, Indika, Gatica-Perez, Daniel
The interplay between mood and eating has been the subject of extensive research within the fields of nutrition and behavioral science, indicating a strong connection between the two. Further, phone sensor data have been used to characterize both eat
Externí odkaz:
http://arxiv.org/abs/2306.00723
Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior, particularly in mobile food diaries and mobile health apps. However,
Externí odkaz:
http://arxiv.org/abs/2306.00709
Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activities. As an alternative to questionnaires, some studies have used passive
Externí odkaz:
http://arxiv.org/abs/2306.00919
This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curated dataset of 1786 articles from 19 European newspapers on the anti-va
Externí odkaz:
http://arxiv.org/abs/2305.00182
Identifying the frames of news is important to understand the articles' vision, intention, message to be conveyed, and which aspects of the news are emphasized. Framing is a widely studied concept in journalism, and has emerged as a new topic in comp
Externí odkaz:
http://arxiv.org/abs/2304.14456
Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive information. Differentially private GNN models have been recently propose
Externí odkaz:
http://arxiv.org/abs/2304.08928
Autor:
Assi, Karim, Meegahapola, Lakmal, Droz, William, Kun, Peter, de Gotzen, Amalia, Bidoglia, Miriam, Stares, Sally, Gaskell, George, Chagnaa, Altangerel, Ganbold, Amarsanaa, Zundui, Tsolmon, Caprini, Carlo, Miorandi, Daniele, Hume, Alethia, Zarza, Jose Luis, Cernuzzi, Luca, Bison, Ivano, Britez, Marcelo Dario Rodas, Busso, Matteo, Chenu-Abente, Ronald, Giunchiglia, Fausto, Gatica-Perez, Daniel
Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activities (sitting, walking, running, etc.) and were mostly conducted in homo
Externí odkaz:
http://arxiv.org/abs/2302.08591