Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Claudio, Bettini"'
Autor:
Marco Colussi, Gabriele Civitarese, Dragan Ahmetovic, Claudio Bettini, Roberta Gualtierotti, Flora Peyvandi, Sergio Mascetti
Publikováno v:
Intelligent Systems with Applications, Vol 17, Iss , Pp 200183- (2023)
Joint bleeding is a common occurrence for people with hemophilia and, if untreated, can result in hemophilic arthropathy. Ultrasound imaging has recently emerged as an effective tool to diagnose the distension of a joint recess caused by joint bleedi
Externí odkaz:
https://doaj.org/article/839bca138eeb42258de1efe3ee6d2f1d
Publikováno v:
IEEE Access, Vol 8, Pp 146876-146886 (2020)
The recognition of physical activities using sensors on mobile devices has been mainly addressed with supervised and semi-supervised learning. The state-of-the-art methods are mainly based on the analysis of the user's movement patterns that emerge f
Externí odkaz:
https://doaj.org/article/36326b77f2144aafb5785666af0769df
Publikováno v:
Personal and Ubiquitous Computing. 26:1281-1298
One of the major open problems in sensor-based Human Activity Recognition (HAR) is the scarcity of labeled data. Among the many solutions to address this challenge, semi-supervised learning approaches represent a promising direction. However, their c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d98703fde6b1d57d447d510f8abbbb15
https://doi.org/10.1007/s00779-022-01688-8
https://doi.org/10.1007/s00779-022-01688-8
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-30
The sensor-based recognition of Activities of Daily Living (ADLs) in smart-home environments is an active research area, with relevant applications in healthcare and ambient assisted living. The application of Explainable Artificial Intelligence (XAI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d988ea5ab6b174dc8fca54fab0d2320c
https://doi.org/10.1145/3517224
https://doi.org/10.1145/3517224
Publikováno v:
Pervasive and Mobile Computing. 91:101780
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::430b51ccffa8c602ff0b6f779182594f
https://doi.org/10.1016/j.pmcj.2023.101780
https://doi.org/10.1016/j.pmcj.2023.101780
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:209-223
Recognition of activities of daily living (ADLs) is an enabling technology for several ubiquitous computing applications. Most activity recognition systems rely on supervised learning to extract activity models from labeled datasets. A problem with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c6fa736369ff30216912bc463cea498
https://doi.org/10.1109/tkde.2019.2930050
https://doi.org/10.1109/tkde.2019.2930050
Autor:
Roberta Gualtierotti, Sara Arcudi, Alessandro Ciavarella, Marco Colussi, Sergio Mascetti, Claudio Bettini, Flora Peyvandi
Publikováno v:
Blood. 140:464-465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9202f218e1f8df9e4fe9aabebe25786f
https://doi.org/10.1182/blood-2022-163690
https://doi.org/10.1182/blood-2022-163690
Publikováno v:
Distributed and Parallel Databases.
The sensor-based recognition of Activities of Daily Living (ADLs) in smart-home environments enables several important applications, including the continuous monitoring of fragile subjects in their homes for healthcare systems. The majority of the ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2077909c756295634eea25ca9a8a138
https://doi.org/10.1007/s10619-022-07403-z
https://doi.org/10.1007/s10619-022-07403-z
Autor:
Claudio Bettini
Publikováno v:
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db4ba16f7398cdbe4598a28e43cfa0a
https://doi.org/10.1109/percomworkshops53856.2022.9775196
https://doi.org/10.1109/percomworkshops53856.2022.9775196