Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ahmed Alqaraawi"'
Publikováno v:
IUI
Convolutional neural networks (CNNs) offer great machine learning performance over a range of applications, but their operation is hard to interpret, even for experts. Various explanation algorithms have been proposed to address this issue, yet limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::268293c539062eed21e2484f88b201f8
Autor:
Sebastian Stein, Alex Rogers, Jacob Kittley-Davies, Rayoung Yang, Enrico Costanza, Ahmed Alqaraawi
Publikováno v:
CHI
Computer vision and pattern recognition are increasingly being employed by smartphone and tablet applications targeted at lay-users. An open design challenge is to make such systems intelligible without requiring users to become technical experts. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa4d1c2bfb66592b55da63faae6caafd
https://doi.org/10.1145/3290605.3300273
https://doi.org/10.1145/3290605.3300273
Publikováno v:
Healthcare Technology Letters
Heart rate variability (HRV) has become a marker for various health and disease conditions. Photoplethysmography (PPG) sensors integrated in wearable devices such as smart watches and phones are widely used to measure heart activities. HRV requires a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d10a2718aa485a581b42bba607662550
https://doi.org/10.1049/htl.2016.0006
https://doi.org/10.1049/htl.2016.0006
Towards efficient heart rate variability estimation in artifact-induced Photoplethysmography signals
Publikováno v:
CCECE
Heart Rate Variability (HRV) has become a marker for various health and disease conditions. Photoplethysmography (PPG) sensors integrated in wearable/portable devices such as smart watches and phones are widely used to measure heart activities. HRV r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00d9d928813baacf624e7bb9fdf462fe
https://doi.org/10.1109/ccece.2016.7726853
https://doi.org/10.1109/ccece.2016.7726853