Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Levner Ilya"'
Autor:
Levner Ilya
Publikováno v:
BMC Bioinformatics, Vol 6, Iss 1, p 68 (2005)
Abstract Background The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard supervised classification algorithms can be employed, the "curse of
Externí odkaz:
https://doaj.org/article/e64db311b99140f18caa8db7376ab2d5
An optimization model for distribution of influenza vaccines through a green healthcare supply chain
Autor:
Levner, Ilya, Herbon, Avi
Publikováno v:
In Operations Research for Health Care June 2023 37
Publikováno v:
In International Journal of Production Economics 2011 132(1):43-51
Publikováno v:
Boechler, Patricia M.; Leenaars, Lindsey; Levner, Ilya; & Steffler, Dorothy J.(2006). Incidental Learning on the London Tube: Evidence from Hypermedia. Proceedings of the Cognitive Science Society, 28(28). Retrieved from: http://www.escholarship.org/uc/item/05j6t36n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::32c9811edf5571037770a95348337669
http://www.escholarship.org/uc/item/05j6t36n
http://www.escholarship.org/uc/item/05j6t36n
Technical report TR05-19. Detecting and segmenting brain tumors in Magnetic Resonance Images (MRI) is an important but time-consuming task performed by medical experts. Automating this process is a challenging task due to the often high degree of int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de45558c693b1998ac1c204d2eb746c1
Autor:
Levner, Ilya
Technical report TR04-10. This report overviews the Mass Spectrometry Data Classification and Feature Extraction problem. After reviewing previous research new classification and feature extraction techniques are presented and empirically evaluated o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a84d7ab12244d5ccdc01d0fe740a436
Publikováno v:
Education and Research Archive.
Technical report TR02-14. The 2002 Quantum Computing Summer School (QCSS'02) at the University of Alberta was organized as a learning and discussion forum for researchers in Artificial Intelligence, Computer Science, Physics, Mathematics, and Enginee
Autor:
Levner, Ilya
Technical report TR02-18. This paper surveys the various techniques for shape recognition and analysis with emphasis on robustness. Specifically, a review of boundary shape analysis methods and techniques is presented followed by description and expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431f54e105d77eed1a14ff07237e19cb
Publikováno v:
In Pattern Recognition Letters 2009 30(6):615-622
Autor:
Levner, Ilya1 ilya@cs.ualberta.ca, Hong Zhang1 zhang@cs.ualberta.ca
Publikováno v:
IEEE Transactions on Image Processing. May2007, Vol. 16 Issue 5, p1437-1445. 9p.