Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sandra Michalska"'
Publikováno v:
Big Data & Society, Vol 10 (2023)
Research in the global field of artificial intelligence is increasingly hybrid in orientation. Researchers are beholden to the requirements of multiple intersecting spheres, such as scholarly, public, and commercial, each with their own language and
Externí odkaz:
https://doaj.org/article/c9d63f14c00f4c91abf89c9a2a4f5770
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0288469 (2023)
The objective of this study is to investigate the application of machine learning techniques to the large-scale human expert evaluation of the impact of academic research. Using publicly available impact case study data from the UK's Research Excelle
Externí odkaz:
https://doaj.org/article/8f25ee5fe23349f083c24f701d90af3f
Publikováno v:
IEEE Access, Vol 8, Pp 19089-19099 (2020)
An average medium-sized organisation logs approx. 10 to 500 mln events per day on the system. Only less than 5% of threat alerts are being investigated by the specialised staff, leaving the security hole open for potential attacks. Insufficient infor
Externí odkaz:
https://doaj.org/article/1eb888f8aa884cf28a1b05b6abd19cd1
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-13 (2019)
Abstract Background The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media platform is used for da
Externí odkaz:
https://doaj.org/article/d39c8f3d57fb4672b02d92049373cff5
Publikováno v:
IEEE Access, Vol 7, Pp 46210-46224 (2019)
Domestic violence (DV) is not only a major health and welfare issue but also a violation of human rights. In recent years, domestic violence crisis support (DVCS) groups active on social media have proven indispensable in the support services provide
Externí odkaz:
https://doaj.org/article/cb987e98584d4513af4416ce155da551
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226902 (2019)
Online product reviews underpin nearly all e-shopping activities. The high volume of data, as well as various online review quality, puts growing pressure on automated approaches for informative content prioritization. Despite a substantial body of l
Externí odkaz:
https://doaj.org/article/a0ab8ad33ed644a7b18c37f7483f8dc0
Publikováno v:
IEEE Access, Vol 8, Pp 19089-19099 (2020)
An average medium-sized organisation logs approx. 10 to 500 mln events per day on the system. Only less than 5% of threat alerts are being investigated by the specialised staff, leaving the security hole open for potential attacks. Insufficient infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94741d5c3016b924b7b84ebf851fab3e
https://ieeexplore.ieee.org/document/8960350/
https://ieeexplore.ieee.org/document/8960350/
Publikováno v:
IEEE Access, Vol 7, Pp 46210-46224 (2019)
Domestic violence (DV) is not only a major health and welfare issue but also a violation of human rights. In recent years, domestic violence crisis support (DVCS) groups active on social media have proven indispensable in the support services provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af1c73069588271a9e84e760c79c188a
https://doi.org/10.1109/access.2019.2908827
https://doi.org/10.1109/access.2019.2908827
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030394684
ADC
ADC
Diabetes is a life-threatening disease that affects various human body organs, including eye retina. Advanced Diabetic Eye disease (DED) leads to permanent vision loss, thus an early detection of DED symptoms is essential to prevent disease escalatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9e87081120c57b3fbd40c3820f0c060
https://doi.org/10.1007/978-3-030-39469-1_20
https://doi.org/10.1007/978-3-030-39469-1_20
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 12, p e0226902 (2019)
PLoS ONE, Vol 14, Iss 12, p e0226902 (2019)
Online product reviews underpin nearly all e-shopping activities. The high volume of data, as well as various online review quality, puts growing pressure on automated approaches for informative content prioritization. Despite a substantial body of l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4d109dc1750e57383c5ec118c48c7ab
http://europepmc.org/articles/PMC6927604
http://europepmc.org/articles/PMC6927604