Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Transcription error"'
Akademický článek
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Autor:
Kapil Zirpe, Prasad Suryawanshi, Bhavika Seta, Nirmala Jagtap, Abhijeet M Deshmukh, Prajkta P Wankhede, Khadija Aurangabadi, Sharvari Gholap, Mariamma Kurian, Sushma Gurav, Swapna Vasanth, Esther Pandit, Elizabeth Philip
Publikováno v:
Indian Journal of Critical Care Medicine : Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine
Background Medication error in developed countries is of primary concern when there is a question of adversity to a patient's health, but in developing countries like India, it is just a term and its significance is undervalued. The incidence of medi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f277639678d6eeae6ee5c59034e7bb7
https://doi.org/10.5005/jp-journals-10071-23556
https://doi.org/10.5005/jp-journals-10071-23556
Publikováno v:
Scientometrics. 125:1517-1540
Policy document mention is considered to indicate the significance and societal impact of scientific product. However, the accuracy of policy document altmetrics data needs to be evaluated to fully understand its strength and limitation. An in-depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5d561c175ce8dd6e9cad00aaf80512d
https://doi.org/10.1007/s11192-020-03558-7
https://doi.org/10.1007/s11192-020-03558-7
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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Publikováno v:
ICASSP
This paper describes a statistical post-processing method for automatic singing transcription that corrects pitch and rhythm errors included in a transcribed note sequence. Although the performance of frame-level pitch estimation has been improved dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11f9c4999d1b4d4a61fcc2e8fda13341
https://doi.org/10.1109/icassp39728.2021.9414249
https://doi.org/10.1109/icassp39728.2021.9414249
Publikováno v:
Frontiers in Robotics and AI
Frontiers in Robotics and AI, Vol 8 (2021)
Frontiers in Robotics and AI, Vol 8 (2021)
Given that selection removes genetic variance from evolving populations, thereby reducing exploration opportunities, it is important to find mechanisms that create genetic variation without the disruption of adapted genes and genomes caused by random
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a547980c352dd05caeb8721a5b786b7
http://europepmc.org/articles/PMC8222576
http://europepmc.org/articles/PMC8222576
Publikováno v:
Political Analysis. 27:339-359
The analysis of political texts from parliamentary speeches, party manifestos, social media, or press releases forms the basis of major and growing fields in political science, not least since advances in “text-as-data” methods have rendered the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a0a874d402a804120dcba3cdd2c13b
https://doi.org/10.1017/pan.2018.62
https://doi.org/10.1017/pan.2018.62
Autor:
Patrick C. Mathias, James A Mays
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Many point-of-care laboratory tests are manually entered into the electronic health record by ambulatory clinic staff, but the rate of manual transcription error for this testing is poorly characterized. Using a dataset arising from a duplicated work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c574f27f2402bd611609f94fe89855c3
https://doi.org/10.1093/jamia/ocy170
https://doi.org/10.1093/jamia/ocy170
Publikováno v:
Digital Medievalist, Vol 9, Iss 0 (2014)
This article illustrates how mathematical and statistical tools designed to handle relational data may be useful to help decipher the most important features and defects of a large historical database and to gain knowledge about a corpus made of seve
Externí odkaz:
https://doaj.org/article/7ed1e00c23a9408cb25fc60885b01614
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863302
ICDAR (2)
ICDAR (2)
Text image recognition and translation have a wide range of applications. It is straightforward to work out a two-stage approach: first perform the text recognition, then translate the text to target language. The handwritten text recognition model a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::205fde59c7bd2021e5fdccdbf3c86959
https://doi.org/10.1007/978-3-030-86331-9_7
https://doi.org/10.1007/978-3-030-86331-9_7
