Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Giebel, Stefan"'
Autor:
BABIĆ, DAMIR, STOLL, KATHARINA, LOBITZ, REBECCA, ULLRICH, EILEEN, BUDDE-HAENLE, SANDRA, GIEBEL, STEFAN
Publikováno v:
Bewährungshilfe; 2023, Vol. 70 Issue 4, p309-324, 16p
Autor:
Giebel, Stefan, Rainer, Martin
Publikováno v:
In Applied Mathematics and Computation 2011 218(3):1003-1007
Autor:
Stehlik, Milan1,2 milan.stehlik@jku.at, Giebel, Stefan Markus1 stefan.giebel@gmx.de, Prostakova, Jekaterina1, Schenk, Jens-Peter3
Publikováno v:
Pakistan Journal of Statistics. Oct2014, Vol. 30 Issue 4, p439-454. 16p.
Publikováno v:
Pakistan Journal of Statistics. Jan2013, Vol. 29 Issue 1, p129-138. 10p. 2 Diagrams, 7 Charts.
Autor:
Giebel, Stefan Markus1, Schiltz, Jang1, Frechen, F.-B.2, Franke, Wolfram2, Schenk, Jens-Peter3
Publikováno v:
Bulletin of the Transilvania University of Brasov, Series III: Mathematics, Informatics, Physics. 2009, Vol. 2 Issue 51, p59-74. 16p. 6 Color Photographs, 1 Black and White Photograph, 8 Diagrams, 3 Charts, 1 Graph.
Autor:
Giebel, Stefan stefan.giebel@enamec.de, Rainer, Martin martin.rainer@enamec.de
Publikováno v:
Central European Journal of Operations Research. Jun2013, Vol. 21 Issue 2, p277-293. 17p.
Autor:
Getoš, Anna-Maria, Giebel, Stefan
Publikováno v:
Zbornik Radova Pravnog Fakulteta u Splitu, Vol 49, Iss 3, Pp 533-552 (2012)
Jedan od glavnih izazova ovog rada je jasno pojmovno određenje straha od kriminala kao sociološkog fenomena, te kritički osvrt na temeljne kriminološke i sociološke konceptualne postavke koje ga omeđuju. Ključno je i pitanje legitimnosti samog
Autor:
Giebel, Stefan1 Stefan.Giebel@gmx.de, Hosser, Daniela1
Publikováno v:
Central European Journal of Operations Research. Jun2013, Vol. 21 Issue 2, p411-413. 3p.
Publikováno v:
Pakistan Journal of Statistics, 29(1), 129-138. Pakistan (2013).
In this research project, we describe an application of statistical shape analysis. In order to differentiate the various kidney tumours appearing in childhood we use shape analysis on two-dimensional magnetic resonance images (MRI). We show that thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::5f8857344fc547138cfe7cc28d141795
http://orbilu.uni.lu/handle/10993/3831
http://orbilu.uni.lu/handle/10993/3831
Autor:
Schiltz, Jang, Giebel, Stefan, Graf, Norbert, Nourkami, Nasenien, Leuschner, Ivo, Schenk, Jens-Peter
Publikováno v:
Journal of the Iranian Statistical Society, 11(2), 131-146. (2012).
The image recognotion and the classification of objects according to the images are more in focus of interests, especially in medicine. A mathematical procedure allows us, not only to evaluate the amount of data per se, but also ensures that each ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2658::5b459e8a525dd032f2fa376d8e123a00
http://orbilu.uni.lu/handle/10993/3832
http://orbilu.uni.lu/handle/10993/3832