Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Daniele Riboni"'
Publikováno v:
Sensors, Vol 24, Iss 5, p 1381 (2024)
The ubiquity of sensors in smart-homes facilitates the support of independent living for older adults and enables cognitive assessment. Notably, there has been a growing interest in utilizing movement traces for identifying signs of cognitive impairm
Externí odkaz:
https://doaj.org/article/c17f25da4c5e4610ab81c35838d85024
Publikováno v:
Future Internet, Vol 16, Iss 2, p 46 (2024)
As several studies demonstrate, good sleep quality is essential for individuals’ well-being, as a lack of restoring sleep may disrupt different physical, mental, and social dimensions of health. For this reason, there is increasing interest in tool
Externí odkaz:
https://doaj.org/article/b5b42c979e994d7a8a70b14dec5bd478
Publikováno v:
IEEE Access, Vol 10, Pp 64043-64058 (2022)
Human Activity Recognition (HAR) using mobile sensor data has gained increasing attention over the last few years, with a fast-growing number of reported applications. The central role of machine learning in this field has been discussed by a vast am
Externí odkaz:
https://doaj.org/article/20231aec96f3447b8628a47861f1c9e0
Publikováno v:
IEEE Access, Vol 10, Pp 91802-91815 (2022)
The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks. But two significant constraints, the available training data size and the understanding of dom
Externí odkaz:
https://doaj.org/article/f41c1234a6f0449ebb0f00e4fbfa72b5
Autor:
Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni
Publikováno v:
Future Internet, Vol 15, Iss 3, p 110 (2023)
Research on the analysis of counselling conversations through natural language processing methods has seen remarkable growth in recent years. However, the potential of this field is still greatly limited by the lack of access to publicly available th
Externí odkaz:
https://doaj.org/article/6de5b2ef7d0644399df3aa82a5572420
Publikováno v:
IEEE Access, Vol 9, Pp 7107-7126 (2021)
The past decade has seen an explosion of the amount of digital information generated within the healthcare domain. Digital data exist in the form of images, video, speech, transcripts, electronic health records, clinical records, and free-text. Analy
Externí odkaz:
https://doaj.org/article/987f2b800861489a9b294c11fc58eb0c
Autor:
Daniele Riboni, Flavia Murru
Publikováno v:
IEEE Access, Vol 8, Pp 201985-201994 (2020)
Several methods have been proposed in the last two decades to recognize human activities based on sensor data acquired in smart-homes. While most existing methods assume the presence of a single inhabitant, a few techniques tackle the challenging iss
Externí odkaz:
https://doaj.org/article/9f5995ca255741fbaa1b2cd4bc62baa3
Publikováno v:
Future Internet, Vol 13, Iss 6, p 139 (2021)
Thanks to the popularity of personal mobile devices, more and more of the different types of private content, such as images and videos, are shared on social networking applications. While content sharing may be an effective practice to enhance socia
Externí odkaz:
https://doaj.org/article/0c26f8bc816644108f4fb0456a61a88e
Autor:
Daniele Riboni
Publikováno v:
Information, Vol 9, Iss 3, p 67 (2018)
Context-awareness is a fundamental ingredient of pervasive computing.[...]
Externí odkaz:
https://doaj.org/article/33037ea7c6d3459abc09da93d0c30ed1
Autor:
Silvio Barra, Salvatore M. Carta, Alessandro Giuliani, Alessia Pisu, Alessandro Sebastian Podda, Daniele Riboni
Publikováno v:
Multimedia Tools and Applications. 82:5547-5567
In the last years, scientific and industrial research has experienced a growing interest in acquiring large annotated data sets to train artificial intelligence algorithms for tackling problems in different domains. In this context, we have observed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7658eafedbbc406cbc78e97f875d6534
https://doi.org/10.1007/s11042-022-13359-0
https://doi.org/10.1007/s11042-022-13359-0