Zobrazeno 1 - 10
of 590
pro vyhledávání: '"George Tzanetakis"'
Autor:
Kauppinen, Joonas
Publikováno v:
International Statistical Review / Revue Internationale de Statistique, 2012 Apr 01. 80(1), 189-190.
Externí odkaz:
http://dx.doi.org/10.1111/j.1751-5823.2012.00179_13.x
Autor:
Joonas Kauppinen
Publikováno v:
International Statistical Review. 80:189-190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd429789fef78423af280106748af310
https://doi.org/10.1111/j.1751-5823.2012.00179_13.x
https://doi.org/10.1111/j.1751-5823.2012.00179_13.x
Autor:
Ricardo Maronna
Publikováno v:
Statistical Papers. 54:899-899
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1ad4ab07bb4eae3b384edf558edc4d
https://doi.org/10.1007/s00362-012-0456-z
https://doi.org/10.1007/s00362-012-0456-z
Autor:
Yichun Zhao, George Tzanetakis
Sonification can provide valuable insights about data but most existing approaches are not designed to be controlled by the user in an interactive fashion. Interactions enable the designer of the sonification to more rapidly experiment with sound des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33b931b16a784d2fcadc5905ea51521c
Autor:
George Tzanetakis, Isabelle Dufour
Publikováno v:
IEEE Transactions on Affective Computing. 12:666-681
The two commonly accepted models of affect used in affective computing are categorical and two-dimensional. However, categorical models are limited to datasets that only contain music for which human annotators fully agree upon, while two-dimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02ccb615abeed428331fad4ca0a1269f
https://doi.org/10.1109/taffc.2018.2885744
https://doi.org/10.1109/taffc.2018.2885744
Publikováno v:
Journal of the Audio Engineering Society. 69:40-53
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aebcc075db057da1ce7bea62cfdd68e
https://doi.org/10.17743/jaes.2020.0064
https://doi.org/10.17743/jaes.2020.0064
Publikováno v:
CCF Transactions on Networking. 3:158-170
In this paper, we propose a novel cooperative abnormal sound event detection framework for city surveillance in end-edge-cloud orchestrated systems. A novel offloading decision-making scheme that leverages hierarchical computational capabilities is p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::371a655672d90a6422ab86f7c8f4e001
https://doi.org/10.1007/s42045-020-00042-x
https://doi.org/10.1007/s42045-020-00042-x
Autor:
George Tzanetakis, Paul Spong, Manuel Schmitt, Elmar Nöth, Helena Symonds, Christian Bergler, Andreas Maier, Steven R. Ness
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4681eeedb7c851dc324ba78d083e9654
https://doi.org/10.21437/interspeech.2021-616
https://doi.org/10.21437/interspeech.2021-616
Autor:
Tom Arjannikov, George Tzanetakis
Publikováno v:
ICHI
Reliably predicting the length of stay of patients in a hospital based on their demographic and clinical characteristics as well as the care they received can inform hospital planning, particularly in novel response scenarios such as Covid-19. Positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::473891b3ec22adcacfeeb3a495da151d
https://doi.org/10.1109/ichi52183.2021.00019
https://doi.org/10.1109/ichi52183.2021.00019
Autor:
Tom Arjannikov, George Tzanetakis
Publikováno v:
BHI
Accurately predicting the in-hospital length of stay (LOS) at the time of admission can positively impact healthcare metrics. Machine learning (ML) techniques have been used to predict hospital patients’ LOS based on their demographic and clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeac7c79897e39bf282a693aa2af3e1e
https://doi.org/10.1109/bhi50953.2021.9508596
https://doi.org/10.1109/bhi50953.2021.9508596