Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Hugo Lewi Hammer"'
Autor:
Matthias Boeker, Petter Jakobsen, Michael A. Riegler, Lena Antonsen Stabell, Ole Bernt Fasmer, Pal Halvorsen, Hugo Lewi Hammer
Publikováno v:
IEEE Access, Vol 11, Pp 61914-61928 (2023)
This study investigated the potential of recognising arousal in motor activity collected by wrist-worn accelerometers. We hypothesise that emotional arousal emerges from the generalised central nervous system which embeds affective states within moto
Externí odkaz:
https://doaj.org/article/cebfe1ff1d784acfafcd051e67665a33
Publikováno v:
Tidsskrift for velferdsforskning, Vol 25, Iss 3, Pp 1-24 (2022)
Ifølge Norges nasjonale strategi for kunstig intelligens er offentlig forvaltning og helse blant Norges satsingsområder for bruk av kunstig intelligens. Maskinlæring er en undergruppe av kunstig intelligens med potensial for å løse en rekke utfo
Externí odkaz:
https://doaj.org/article/72c16b26aead49c9bb96c3cfa3ac3cf9
Publikováno v:
IEEE Access, Vol 8, Pp 156096-156103 (2020)
In this article, we presented a novel spectral estimation method, the dyadic aggregated autoregressive model (DASAR), that characterizes the spectrum dynamics of a modulated signal. DASAR enhances automatic modulation classification (AMC) on environm
Externí odkaz:
https://doaj.org/article/490447978ba1497391f4d15423a9b1ce
Autor:
Ioanna Sandvig, Sidney Pontes-Filho, Stefano Nichele, Gunnar Tufte, Anis Yazidi, Pedro G. Lind, Gustavo Borges Moreno e Mello, Hugo Lewi Hammer, Jianhua Zhang
Publikováno v:
Cognitive Neurodynamics
Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, we investigate an alternative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7374720da51316b734b621706bed2d7a
http://europepmc.org/articles/PMC7501380
http://europepmc.org/articles/PMC7501380
Autor:
Pål Halvorsen, Michael Riegler, Andrea M. Storås, Inga Strümke, Anis Yazidi, Tor Paaske Utheim, Kjell Gundersen, Hugo Lewi Hammer, Jakob Grauslund, Catherine Jackson
Publikováno v:
Storås, A M, Strümke, I, Riegler, M A, Grauslund, J, Hammer, H L, Yazidi, A, Halvorsen, P, Gundersen, K G, Utheim, T P & Jackson, C J 2022, ' Artificial intelligence in dry eye disease ', The Ocular Surface, vol. 23, pp. 74-86 . https://doi.org/10.1016/j.jtos.2021.11.004
The ocular surface
The ocular surface
Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. Many tests used in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d36309f1e84aac9313e35412307352f
https://hdl.handle.net/10037/23549
https://hdl.handle.net/10037/23549
Autor:
Claus Graff, Jonas L. Isaksen, Torben Hansen, Niels Grarup, Inga Strümke, Allan Linneberg, Vajira Thambawita, Pål Halvorsen, Mary M. Maleckar, Jonas Ghouse, Michael Riegler, Niels-Henrik Holstein-Rathlou, Hugo Lewi Hammer, Morten S. Olesen, Christina Ellervik, Gustav Ahlberg, Steven Alexander Hicks, Jørgen K. Kanters
Publikováno v:
Scientific Reports
Thambawita, V, Isaksen, J L, Hicks, S A, Ghouse, J, Ahlberg, G, Linneberg, A, Grarup, N, Ellervik, C, Olesen, M S, Hansen, T, Graff, C, Holstein-Rathlou, N-H, Strümke, I, Hammer, H L, Maleckar, M M, Halvorsen, P, Riegler, M A & Kanters, J K 2021, ' DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine ', Scientific Reports, vol. 11, no. 1, 21896 . https://doi.org/10.1038/s41598-021-01295-2
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Thambawita, V, Isaksen, J L, Hicks, S A, Ghouse, J, Ahlberg, G, Linneberg, A, Grarup, N, Ellervik, C, Olesen, M S, Hansen, T, Graff, C, Holstein-Rathlou, N-H, Strümke, I, Hammer, H L, Maleckar, M M, Halvorsen, P, Riegler, M A & Kanters, J K 2021, ' DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine ', Scientific Reports, vol. 11, no. 1, 21896 . https://doi.org/10.1038/s41598-021-01295-2
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to represent re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf1684311452aba06bc145587e08a25
https://hdl.handle.net/11250/2980472
https://hdl.handle.net/11250/2980472
Publikováno v:
Big Data and Cognitive Computing
Volume 5
Issue 4
Big Data and Cognitive Computing, Vol 5, Iss 62, p 62 (2021)
Volume 5
Issue 4
Big Data and Cognitive Computing, Vol 5, Iss 62, p 62 (2021)
Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming and different other aspects of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca290474234849a13527c5e6cca82a0b
https://hdl.handle.net/11250/2833363
https://hdl.handle.net/11250/2833363
Publikováno v:
Big Data and Cognitive Computing, Vol 5, Iss 55, p 55 (2021)
Big Data and Cognitive Computing
Volume 5
Issue 4
Big Data and Cognitive Computing
Volume 5
Issue 4
A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e978e5d9f01641a37e3bd6ef9001ccad
https://hdl.handle.net/10037/23067
https://hdl.handle.net/10037/23067
Autor:
Inga Strümke, Catherine Jackson, Jakob Grauslund, Hugo Lewi Hammer, Kjell Gundersen, Michael Riegler, A. M. Storaas, Anis Yazidi, T. Utheim, Pål Halvorsen
Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. Many tests used in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cd842d7eec7e399d0a0f18627204c9f
https://doi.org/10.1101/2021.09.02.21263021
https://doi.org/10.1101/2021.09.02.21263021
Autor:
Neil Lagali, Sten Raeder, Darlene A. Dartt, Øygunn Aass Utheim, Tor Paaske Utheim, Snorri Olafsson, Jonatan Olafsson, Hugo Lewi Hammer, Xiangjun Chen, Behzod Tashbayev
Purpose: Dry eye (DED) is a multifactorial disease of the ocular surface in which ocular surface inflammation and damage play etiological roles. In the present study, we compared symptoms and signs in patients with DED treated with 0.1% Cyclosporine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35cbcbc1826c4b24cf00300ddfaf2028
https://doi.org/10.21203/rs.3.rs-716429/v1
https://doi.org/10.21203/rs.3.rs-716429/v1