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pro vyhledávání: '"Sarafis, P."'
The demand for accurate food quantification has increased in the recent years, driven by the needs of applications in dietary monitoring. At the same time, computer vision approaches have exhibited great potential in automating tasks within the food
Externí odkaz:
http://arxiv.org/abs/2308.11452
Publikováno v:
Appetite, 2022, 106096
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, including both the measurement of eating episodes as well as the measurem
Externí odkaz:
http://arxiv.org/abs/2206.02784
Autor:
Papapanagiotou, Vasileios, Sarafis, Ioannis, Diou, Christos, Ioakimidis, Ioannis, Charmandari, Evangelia, Delopoulos, Anastasios
Obesity is currently affecting very large portions of the global population. Effective prevention and treatment starts at the early age and requires objective knowledge of population-level behavior on the region/neighborhood scale. To this end, we pr
Externí odkaz:
http://arxiv.org/abs/2005.04928
Autor:
Sarafis, Ioannis, Diou, Christos, Papapanagiotou, Vasileios, Alagialoglou, Leonidas, Delopoulos, Anastasios
Obesity affects a rising percentage of the children and adolescent population, contributing to decreased quality of life and increased risk for comorbidities. Although the major causes of obesity are known, the obesogenic behaviors manifest as a resu
Externí odkaz:
http://arxiv.org/abs/2005.03957
Autor:
Diou, Christos, Sarafis, Ioannis, Papapanagiotou, Vasileios, Alagialoglou, Leonidas, Lekka, Irini, Filos, Dimitrios, Stefanopoulos, Leandros, Kilintzis, Vasileios, Maramis, Christos, Karavidopoulou, Youla, Maglaveras, Nikos, Ioakimidis, Ioannis, Charmandari, Evangelia, Kassari, Penio, Tragomalou, Athanasia, Mars, Monica, Nguyen, Thien-An Ngoc, Kechadi, Tahar, Donnell, Shane O', Doyle, Gerardine, Browne, Sarah, Malley, Grace O', Heimeier, Rachel, Riviou, Katerina, Koukoula, Evangelia, Filis, Konstantinos, Hassapidou, Maria, Pagkalos, Ioannis, Ferri, Daniel, Pérez, Isabel, Delopoulos, Anastasios
Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural and urban context of individuals. Many obesity prevention strategies and policies, however, are horizontal measures that do not d
Externí odkaz:
http://arxiv.org/abs/2005.02928
Autor:
Diou, Christos, Sarafis, Ioannis, Papapanagiotou, Vasileios, Ioakimidis, Ioannis, Delopoulos, Anastasios
The way we eat and what we eat, the way we move and the way we sleep significantly impact the risk of becoming obese. These aspects of behavior decompose into several personal behavioral elements including our food choices, eating place preferences,
Externí odkaz:
http://arxiv.org/abs/1911.08315
Weighted SVM (or fuzzy SVM) is the most widely used SVM variant owning its effectiveness to the use of instance weights. Proper selection of the instance weights can lead to increased generalization performance. In this work, we extend the span error
Externí odkaz:
http://arxiv.org/abs/1809.06124
Autor:
Maria Malliarou, Vasileios Tzenetidis, Iokasti Papathanasiou, Kiriaki Vourdami, Nikolaos Tzenetidis, Athanasios Nikolentzos, Pavlos Sarafis
Publikováno v:
Nursing Reports, Vol 12, Iss 2, Pp 304-312 (2022)
This study aimed to examine the reliability and validity of the Euthanasia Attitude Scale (EAS) in Greek medical doctors. A cross-sectional study design was conducted, including 120 physicians at clinical setting in 2019 (men 64.5%). A self-report qu
Externí odkaz:
https://doaj.org/article/9fd8fc7b1cb640a290b5510390df41ba
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0278758 (2023)
The emergency presented through the COVID-19 pandemic exposed the need to adopt remote, technology-driven solutions and make healthcare services more resilient. To do so, we need technological applications (i.e., telemedicine) that are designed and t
Externí odkaz:
https://doaj.org/article/14ebd45f319c4b8a8a46ffff4700ea07
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