Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bensenousi A"'
Autor:
Sofia Balula Dias, Yannis Oikonomidis, José Alves Diniz, Fátima Baptista, Filomena Carnide, Alex Bensenousi, José María Botana, Dorothea Tsatsou, Kiriakos Stefanidis, Lazaros Gymnopoulos, Kosmas Dimitropoulos, Petros Daras, Anagnostis Argiriou, Konstantinos Rouskas, Saskia Wilson-Barnes, Kathryn Hart, Neil Merry, Duncan Russell, Jelizaveta Konstantinova, Elena Lalama, Andreas Pfeiffer, Anna Kokkinopoulou, Maria Hassapidou, Ioannis Pagkalos, Elena Patra, Roselien Buys, Véronique Cornelissen, Ana Batista, Stefano Cobello, Elena Milli, Chiara Vagnozzi, Sheree Bryant, Simon Maas, Pedro Bacelar, Saverio Gravina, Jovana Vlaskalin, Boris Brkic, Gonçalo Telo, Eugenio Mantovani, Olga Gkotsopoulou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Leontios J. Hadjileontiadis
Publikováno v:
Frontiers in Nutrition, Vol 9 (2022)
The ubiquitous nature of smartphone ownership, its broad application and usage, along with its interactive delivery of timely feedback are appealing for health-related behavior change interventions via mobile apps. However, users' perspectives about
Externí odkaz:
https://doaj.org/article/1780c5caa01d41e7a873df514bd999b2
Autor:
Kiriakos Stefanidis, Dorothea Tsatsou, Dimitrios Konstantinidis, Lazaros Gymnopoulos, Petros Daras, Saskia Wilson-Barnes, Kathryn Hart, Véronique Cornelissen, Elise Decorte, Elena Lalama, Andreas Pfeiffer, Maria Hassapidou, Ioannis Pagkalos, Anagnostis Argiriou, Konstantinos Rouskas, Stelios Hadjidimitriou, Vasileios Charisis, Sofia Balula Dias, José Alves Diniz, Gonçalo Telo, Hugo Silva, Alex Bensenousi, Kosmas Dimitropoulos
Publikováno v:
Nutrients; Volume 14; Issue 20; Pages: 4435
AI-based software applications for personalized nutrition have recently gained increasing attention to help users follow a healthy lifestyle. In this paper, we present a knowledge-based recommendation framework that exploits an explicit dataset of ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce0de4e4f22e65c59372e1a77846f4b
https://lirias.kuleuven.be/handle/20.500.12942/707660
https://lirias.kuleuven.be/handle/20.500.12942/707660
Akademický článek
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The ubiquitous nature of smartphone ownership, its broad application and usage, along with its interactive delivery of timely feedback are appealing for health-related behavior change interventions via mobile apps. However, users’ perspectives abou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::603e4a007ef06481a6a82617c4c188f8
https://zenodo.org/record/7018904
https://zenodo.org/record/7018904
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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The main goal of this thesis is to evaluate different machine learning models in order to classify buyers of an electric or a hybrid vehicle and to identify the characteristics of the buyers in the European Union. Machine learning algorithms and tech
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20712
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Sofia Balula Dias, Yannis Oikonomidis, José Alves Diniz, Fátima Baptista, Filomena Carnide, Alex Bensenousi, José María Botana, Dorothea Tsatsou, Kiriakos Stefanidis, Lazaros Gymnopoulos, Kosmas Dimitropoulos, Petros Daras, Anagnostis Argiriou, Konstantinos Rouskas, Saskia Wilson-Barnes, Kathryn Hart, Neil Merry, Duncan Russell, Jelizaveta Konstantinova, Elena Lalama, Andreas Pfeiffer, Anna Kokkinopoulou, Maria Hassapidou, Ioannis Pagkalos, Elena Patra, Roselien Buys, Véronique Cornelissen, Ana Batista, Stefano Cobello, Elena Milli, Chiara Vagnozzi, Sheree Bryant, Simon Maas, Pedro Bacelar, Saverio Gravina, Jovana Vlaskalin, Boris Brkic, Gonçalo Telo, Eugenio Mantovani, Olga Gkotsopoulou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Leontios J. Hadjileontiadis
Publikováno v:
Frontiers in Nutrition. 9
The ubiquitous nature of smartphone ownership, its broad application and usage, along with its interactive delivery of timely feedback are appealing for health-related behavior change interventions via mobile apps. However, users' perspectives about